121 Langgraph Jobs - Page 4

We are looking for a skilled Python Developer with a strong background in web application development using frameworks like Django, Flask, and FastAPI. The ideal candidate should also possess hands-on experience in building Generative AI (GenAI) applications leveraging modern AI/ML libraries and frameworks such as LangGraph, LangChain, and LLMs, and integrating them with vector databases like Pinecone or PGVector. Key Responsibilities Web Development: Design, develop, and maintain scalable RESTful APIs using Django, Flask, or FastAPI. Build and deploy modern web applications that are performant, modular, and secure. Implement API authentication and authorization using OAuth2, JWT, or session-based approaches. Work with frontend teams to integrate APIs and ensure smooth end-to-end flows. Follow CI/CD and Git-based deployment workflows using tools like GitHub/GitLab, Jenkins, or Docker. GenAI Application Development: Build intelligent applications using LangGraph and LangChain for orchestrating LLM workflows Integrate OpenAI, Anthropic, HuggingFace, or custom LLMs into production workflows. Design and optimize RAG (Retrieval Augmented Generation) pipelines using vector databases such as Pinecone, PGVector etc Database and Backend Integration: Work with relational databases like PostgreSQL and MySQL. Write efficient and scalable queries for large-scale datasets. Experience with AWS/GCP/Azure is a plus. Required Skills Minimum of 3 years of experience application development using Python/django Proficient in developing and consuming RESTful API Experience with LangGraph, LangChain, and GenAI tools/workflows Experience with LLMs (OpenAI GPT-4, Claude, Llama, etc.) Good understanding of software design principles, code modularity, and version control (Git)

About this role: Wells Fargo is seeking a Software Engineer. We believe in the power of working together because great ideas can come from anyone. Through collaboration, any employee can have an impact and make a difference for the entire company. Explore opportunities with us for a career in a supportive environment where you can learn and grow. In this role, you will: Participate in low to moderately complex initiatives and projects associated with the technology domain, including installation, upgrades, and deployment efforts Identify opportunities for service quality and availability improvements within the technology domain environment Design, code, test, debug, and document for low to moderately complex projects and programs associated with technology domain, including upgrades and deployments Review and analyze technical assignments or challenges that are related to low to medium risk deliverables and that require research, evaluation, and selection of alternative technology domains Present recommendations for resolving issues or may escalate issues as needed to meet established service level agreements Exercise some independent judgment while also developing understanding of given technology domain in reference to security and compliance requirements Provide information to technology colleagues, internal partners, and stakeholders Required Qualifications: 2+ years of software engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Strong proficiency in Python/Java and LLM orchestration frameworks (LangChain, LangGraph) Basic Knowledge of model context protocols, RAG architectures, and embedding techniques Experience with model evaluation frameworks and metrics for LLM performance Proficiency in frontend development with React.js for AI applications Experience with UI/UX design patterns specific to AI interfaces Experience with vector databases and efficient retrieval methods Knowledge of prompt engineering techniques and best practices Experience with containerization and microservices architecture Strong understanding of semantic search and document retrieval systems Working knowledge of both structured and unstructured data processing Experience with version control using GitHub and CI/CD pipelines Experience working with globally distributed teams in Agile scrums Experience with Google ADK (preferred but not mandatory) AutoGen, and OpenAI APIs Strong verbal and written communication skills Job Expectations Understanding of enterprise use cases for Generative AI Knowledge of responsible AI practices and ethical considerations Ability to optimize AI solutions for performance and cost Well versed in MLOps concepts for LLM applications Staying current with rapidly evolving Gen AI technologies and best practices Experience implementing security best practices for AI applications.

Important Points to be noted here before you apply for this job:- 1. This is a 3rd Party Pay-roll opportunity, wherein, the Consultant will be on pay-rolls of Zentek Infosoft and working for the end client of Infosys. Apply ONLY if you are fine to work as a Sub Contractor on 3rd Party Pay-roll . 2. This is a LONG-TERM Opportunity with a Strong Chance of getting converted as Full Time Opportunity with Infosys after few months . 3. One round of Face-to-face Interview is a MUST for this role. If you cannot go for F2F interview, please DO NOT apply. 4. This is a Work from Office opportunity and person is expected to work from one of these offices of Infosys - Bangalore, Pune, Hyderabad. This is NOT a Hybrid or WFH opportunity . Technology Architect AI Experience 10+ years Role Architect and Design GenAI & Agentic solutions that are scalable and adopts opensource technologies Design and oversee development of different GenAI , Agentic solution modules @ enterprise scale. Follows Agile & hybrid SDLC methodology to develop and validate the solutions. Collaborate with other module leads in building end to end solution Work with domain experts in identifying potential use case in GenAI/Agentic area and guide the domain teams to define outcome oriented detail usecases. Plan and execute Proof of concepts to identify new features, solutions and techniques. Lead the team of AI/ML engineers and take ownership on overall design. Plan regular reviews with the enterprise architect teams Technical skills Extensive experience on Python Experience in frameworks like TensorFlow, PyTorch Experience with LLM selection and deployment, Langchain, vllm, TGI, Ollama, and Prompt engineering Experience with deploying agentic framework like LangGraph Experience in vector databases like Qdrant, Milvus etc. Experience in Flask, experience in other Python framework for developing API or Python application is advantageous Extensive experience in Python ML packages Good understanding about data engineering, understanding of data structures, data modelling and data pipeline design in PySpark, Apache Airflow preferable NOSQL DB Cassandra, MongoDB etc. Must have good understanding of Kubernetes . Have knowledge on Open and closed Large language models, small language models Have knowledge on Model training, Model inferencing, RAG, Agents Experience in CICD pipeline, code quality checks, code standardization checks Knowledge on CPU, GPU service offerings from hyperscalers, private clouds Excellent communication and articulation skills Technology Lead AI GenAI Technology Lead Experience 5+ years Role Help architect team in design as well as preparing the development work items for GenAI and Agentic Solutions Lead the development of the assigned work items Contribute to the development through coding, testing and bug fixing Guide junior team members in the development process Work on POCs to explore new features, techniques and solution Track the development progress Technical skills Experience on developing Python modules Experience in Flask, experience in other Python framework for developing API or Python application is advantageous Experience with Prompt engineering Experience with deploying and testing LLM, Langchain, vllm Experience in frameworks like TensorFlow, PyTorch and other Python ML packages Understanding of data structures, data modelling and data pipeline. Experience with Apache Airflow or PySpark is preferable Database integration – Vector DB (e.g. Qdrant, Milvus), SQL (e.g. Postgres, MySQL), NOSQL (e.g. Cassandra, Mongo) Object oriented and functional programming Experience in creating CICD pipelines using Jenkins and other similar platforms Experience in packaging and deploying K8S containers/pods’s Experience in developing UI using ReactJs, Angular, Gradio Complete understanding on integrating UI with backend services to provide user experience Engineers – AI GenAI/Agentic AI engineers Experience 3+ years Role Contribute to the development through coding, testing and bug fixing Help team members in the development process for GenAI and Agentic Solutions Work on POCs to explore new features, techniques and solution Provide timely status to the managers Technical skills Experience on Python in script and application development. Flask and API Python web service development Experience in Python ML packages Awareness on frameworks like TensorFlow, PyTorch Prompt engineering Understanding of data structures, data modelling Database awareness – SQL, NOSQL, Vector DB Object oriented and functional programming Experienced in working on Git Experience in developing UI using ReactJs ,Angular,gradio Experience in developing and deploying backend python services Experience in UI integration with backend service and develop UI models that can render text, images, documents,etc.. ABHISHEK.SHARMA@ZENTEKINFOSOFT.COM

Role & responsibilities Focus on designing and developing proof of concepts (PoCs) and demonstrate the solution on a tight schedule. Utilize GenAI no code, low code, and SDKs to build robust GenAI agents that automate business processes. Work with data platforms such as Microsoft Azure, Snowflake, and integration services like Azure Data Factory to build agentic workflow Embed/integrate GenAI agents (Copilot agents) into business platforms such as Workday, Teams, etc Manage small to medium-sized projects with minimal supervision. Automation of complex processes using GenAI agents, especially using the Azure GenAI echo system Advanced Python programming Hands-on experience with data storage systems, especially Snowflake, Azure Data Factory, Azure Fabric, and Azure Synaps Building Copilot agents and embedding them into systems such as Workday, Teams, etc Preferred candidate profile Bachelors or masters degree in AI, computer science, Engineering, mathematics or a related field. 2-4 years of experience in developing and deploying AI/ML solutions to production. Hands-on experience with no code, low code, and SDKs for AI system development. Proficiency in data platforms such as Microsoft Azure, Snowflake, and integration services like Azure Data Factory. Experience with Azure Cloud, Azure AI Foundry, Copilot Studio, and frameworks such LangChain, LangGraph, MCP for building agentic systems. Strong understanding of Agile methodology and project management. Ability to manage projects independently and make decisions under ambiguity.

#GenerativeAI Experts ready for AI race, this is for you! Announcing Hexaware conducting Walkin Drive for AI Engineer and Lead Data Scientist (GenAI)-Pune Location-12th July 2025(Saturday) Interested candidates share your CV at umaparvathyc@hexaware.com Open Positions: AI Engineer/Lead Data Scientist (GenAI) AI Engineer Experience- 3+years Lead Data Scientist (GenAI) Experience- 7+years Notice Period- 15 days/30days Max (who serving Notice Period) Walkin Drive Location- Pune Date of drive- 12th July 2025(Saturday) Must have Experience: LLM, Advance RAG, NLP, transformer model, LangChain Technical Skill: 1. Strong Experience in Data Scientist (GENAI) 2. Proficiency with Generative AI models like GANs, VAEs, and transformers 3. Expertise with cloud platforms (AWS, Azure, Google Cloud) for deploying AI models 4. Strong Python Fast API experience, SDA based implementations for all the APIs 5. Knowledge of Agentic AI concepts and applications

Data Engineer JLL Technologies Centre of Expertise What this job involves: #JLLTechAmbitions About the role JLL, an international real estate management company, is seeking a Business Analyst to join our JLL Technologies Team. This position will design and build Data and Business Intelligence solutions within the context of our applications and other client based customised needs. We are looking for a candidate with SSIS, SSRS, Alteryx and Tableau development experience along with expertise in Data Management using SQL. This individual will also have broad experience in database design and back-end development. Responsibilities Perform data management analysis using SSIS, Alteryx and SQL, including retrieving data from multiple sources, profiling, processing, validating, and migrating data to centralized data platforms. Regularly work in SQL and be able to create views, tables, and develop queries to answer questions Design, develop and deploy BI solutions, including interactive dashboards in Tableau and Power BI, sourcing data from internal MS SQL Server databases, Tableau published data sources, external sources, and leveraging ETL tools when needed. Devise and promote creative data visualizations, reports, tools, and dashboards to derive actionable real-time insights to business data pertinent to the audience (Tableau, etc.) Validate the calculations and results against known figures, other reports, peer reviews, etc. Develops, executes, and monitors simple to moderately complex data management analytic processes to support ad hoc data and information delivery for assigned projects Proactively identify opportunities to optimize the performance and efficiency of existing processes/procedures Translate the business questions and hypothesis into a data analysis plan. Execute the analysis either autonomously or in collaboration with others, depending on what the task calls for. Translate the results of the analysis into actionable recommendations and concrete answers to the business questions Independently develop, execute, and monitor complex data management/analytic processes to ensure deadlines are met for all assigned deliverables Provide subject matter expertise for all data related processes and analysis Sounds like you To apply you need to be: Experience & Education Bachelors or masters degree in Information Technology, Statistics, Economics, Business Administration, Information Systems, MIS, Computer Science, Data Analytics, or related field 0+ years of deep technical experience in database environments specializing in SQL Server 0+ years experience in ETL technologies like SSIS , Alteryx 0+ years of experience in Tableau Dashboard development. Experience producing technical design documentation. High level of technical skills with demonstrated ability to manage, manipulate, analyse raw data, research data issues, draw conclusions, provide resolution, and develop actionable recommendations Must have demonstrated experience in building and analysing reports and dashboards along with summarizing the data for business users - Able to take abstract ideas or requirements and work independently towards development of a report/dashboard Business analysis, consulting/advisory and/or project or client management experience will be a strong plus Strong SQL skills with experience developing complex queries and stored procedures Experience with Power BI, Microsoft Azure, and Big Data technologies would be a plus. Excellent oral, written, and presentation skills; can communicate comfortably across several levels including senior managers Impeccable attention to details and never compromising attitude for data accuracy Reliable, self-motivated, and self-disciplined individual capable of planning and executing multiple projects simultaneously within a fast-paced environment Broad understanding of the Corporate Real Estate business is a plus Technical Skills & Competencies BI Development Tableau, SSRS Data Development SSIS Alteryx SQL Server (sql/stored procedures/views/SSIS) Database design/normalization experience Database Performance tuning Cloud Technologies Azure , AWS AI Application Architecture : Design and implementation of enterprise-grade AI solutions LangGraph & Langchain : Experience building complex AI agent workflows and applications Azure AI Integration : Proficiency with Azure OpenAI Service and related Azure AI offerings Open Source AI Models : Experience deploying and customizing open source LLMs React Application Development : Frontend development for AI-powered applications

Design & Develop intelligent Agentic AI agents that revolutionize industry * Design, develop & deploy AI solutions using Python, ML algorithms & React Native/JS * Collaborate with cross-functional teams on data science projects

Key Responsibilities : Develop, train, and fine-tune large language models and generative architectures (LLMs, VAEs, Transformers, GANs) Integrate models with applications using LangChain, LlamaIndex, RAG, and other frameworks Design LLM-based agents for specific use cases: summarization, classification, scoring, Q&A, translation Build prompt templates and semantic memory flows using vector databases like Pinecone or FAISS Collaborate with backend and data teams to ingest data from PDFs, APIs, structured databases, and JSON files Benchmark model outputs and run experiments to optimize cost, performance, and quality Stay on top of AI research and rapidly implement useful techniques in production environments Write clear, modular, reusable code with documentation and test coverage Troubleshoot model-related deployment or inference issues Technical Skills Required : Strong Python programming skills Experience with Transformers, Hugging Face, OpenAI/Anthropic APIs, Med-GEMMA, or similar foundation models Experience with agentic frameworks: LangChain, LlamaIndex, LangGraph, semantic RAG Familiarity with Vector database experience (Pinecone, FAISS, Weaviate, or similar) Comfortable with prompt engineering, few-shot learning, fine-tuning basics Ability to process and clean unstructured data (PDFs, notes, research papers, etc.) Understanding of NLP metrics and model evaluation techniques Bonus: experience with biomedical or clinical data (PubMed, ClinicalTrials.gov, etc.) Bonus: experience with deploying models via FastAPI, Docker, or Streamlit Personal Attributes : Curiosity and willingness to learn new models and tools quickly Attention to detail and commitment to quality Ownership mindsetyou care about the outcome, not just the code Ability to work independently and push through ambiguity Passion for building usable AI, not just research prototypes Strong communication and collaboration skills across tech and domain teams

Looking for developers for product based company who have exp.in following area Work with OpenAI/Anthropic ML (Creating a model, training, deploying at scale Building AI agents, AI tools MCP from Anthropic Min. 3y relevant exp. must

Job Title: Senior Data Scientist | Machine Learning Engineer (MLE) Job Location: [Mohali / Pune] Experience : 4+ years Skill Sets: Expertise in ML/DL, model lifecycle management, and MLOps (MLflow, Kubeflow) Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and Hugging Face models Strong experience in NLP, fine-tuning transformer models, and dataset preparation Hands-on with cloud platforms (AWS, GCP, Azure) and scalable ML deployment (Sagemaker, Vertex AI) Experience in containerization (Docker, Kubernetes) and CI/CD pipelines Knowledge of distributed computing (Spark, Ray), vector databases (FAISS, Milvus), and model optimization (quantization, pruning) Familiarity with model evaluation, hyperparameter tuning, and model monitoring for drift detection Roles & Responsibilities: Design and implement end-to-end ML pipelines from data ingestion to production Develop, fine-tune, and optimize ML models, ensuring high performance and scalability Compare and evaluate models using key metrics (F1-score, AUC-ROC, BLEU etc) Automate model retraining, monitoring, and drift detection Collaborate with engineering teams for seamless ML integration Mentor junior team members and enforce best practices

Proficiency in Python, LangChain, LangGraph and GenAI APIs. Hands-on experience with vector databases (Pinecone, FAISS, ChromaDB). Understanding of Agentic AI, LLMs, transformers, and orchestration frameworks. Exposure to cloud services (AWS/GCP/Azure) and CI/CD practices. Stay current with AI trends and toolsSourcing & Screening US profiles.

Role & responsibilities We are seeking a skilled and passionate Python Developer with hands-on experience in Artificial Intelligence (AI), Machine Learning (ML) , and Large Language Models (LLMs) like GPT, BERT, or LLaMA. The ideal candidate will have strong expertise in building LLM-powered applications using frameworks such as LangChain , Hugging Face Transformers , or BERTopic . Key Responsibilities : Design and implement AI/ML models using Python Work on NLP pipelines: Tokenization, Topic Modeling, BERTopic Build and deploy LLM-based apps using LangChain / LangGraph Develop REST APIs using Flask or FastAPI Integrate vector databases (FAISS, Pinecone, ChromaDB) for RAG-based apps Collaborate with cross-functional teams for solution delivery

Role: ML Engineer. Exp : 5 Years to 10 Years Location : Hyderabad. Job Overview: Were seeking a ML Engineer / Data Scientist to architect agentic AI solutions and own the full ML lifecycle—from proof-of-concept to production. You’ll operationalize LLMs, build agentic workflows, implement MLOps best practices, and design multi-agent systems for cybersecurity tasks. Key Responsibilities: Operationalize large language models and agentic workflows (LangChain, LangGraph, LlamaIndex) to automate security decision-making and threat response. Design, deploy, and maintain multi-agent AI systems for log analysis, anomaly detection, and incident response. Build proof-of-concept GenAI solutions and evolve them into production-ready components on AWS (Bedrock, SageMaker, Lambda, EKS/ECS) using reusable best practices. Implement CI/CD pipelines for model training, validation, and deployment with GitHub Actions, Jenkins, and AWS CodePipeline. Manage model versioning with MLflow and DVC, set up automated testing, rollback procedures, and retraining workflows. Automate cloud infrastructure provisioning with Terraform and develop REST APIs and microservices containerized with Docker and Kubernetes. Monitor models and infrastructure through CloudWatch, Prometheus, and Grafana; analyze performance and optimize costs and SLA compliance. Collaborate with data scientists, application developers, and security analysts to integrate agentic AI into existing security workflows. Qualifications: Bachelor’s or master’s in computer science, Data Science, AI or related quantitative discipline. 4+ years of software development experience, including 3+ years building and deploying LLM-based/agentic AI architectures. In-depth knowledge of generative AI fundamentals (LLMs, embeddings, vector databases, prompt engineering, RAG). Hands-on experience with LangChain, LangGraph, LlamaIndex, Crew.AI or equivalent agentic frameworks. Strong proficiency in Python and production-grade coding for data pipelines and AI workflows. Deep MLOps knowledge: CI/CD for ML, model monitoring, automated retraining, and production-quality best practices. Extensive AWS experience with Bedrock, SageMaker, Lambda, EKS/ECS, S3 (Athena, Glue, Snowflake preferred). Infrastructure as Code skills with Terraform. Experience building REST APIs, microservices, and containerization with Docker and Kubernetes. Solid data science fundamentals: feature engineering, model evaluation, data ingestion. Understanding of cybersecurity principles, SIEM data, and incident response. Excellent communication skills for both technical and non-technical audiences. Preferred Qualifications: AWS certifications (Solutions Architect, Developer Associate). Nice to have Experience with Model Context Protocol (MCP) and RAG integrations. Nice to have Experience in Crew.AI Familiarity with workflow orchestration tools (Apache Airflow). Experience with time series analysis, anomaly detection, and machine learning.

Experience required: 7+ years Core Generative AI & LLM Skills: * 5+ years in Software Engineering, 1+ year in Generative AI. * Strong understanding of LLMs, prompt engineering, and RAG. * Experience with multi-agent system design (planning, delegation, feedback). * Hands-on with LangChain (tools, memory, callbacks) and LangGraph (multi-agent orchestration). * Proficient in using vector DBs (OpenSearch, Pinecone, FAISS, Weaviate). * Skilled in Amazon Bedrock and integrating LLMs like Claude, Titan, Llama. * Strong Python (LangChain, LangGraph, FastAPI, boto3). * Experience building MCP servers/tools. * Designed robust APIs, integrated external tools with agents. * AWS proficiency: Lambda, API Gateway, DynamoDB, S3, Neptune, Bedrock Agents * Knowledge of data privacy, output filtering, audit logging * Familiar with AWS IAM, VPCs, and KMS encryption Desired Skills: * Integration with Confluence, CRMs, knowledge bases, etc. * Observability with Langfuse, OpenTelemetry, Prompt Catalog * Understanding of model alignment & bias mitigation

JOB DESCRIPTION Title: Senior Software Engineer - Data Science Full time Chennai Data Scientist Role Type: Location: Reports to: Summary of the profile: We are seeking a highly motivated and innovative Data Scientist with 3-5 years of experience to join our team, with a focus on leveraging Generative AI and Large Language Models (LLMs). The ideal candidate will be passionate about exploring the potential of these cutting-edge technologies to solve complex problems and create impactful solutions. You will collaborate with cross-functional teams to research, develop, and deploy generative AI models and LLM-powered applications. What youll do here: Explore and experiment with various generative AI models (e.g., GANs, VAEs, diffusion models) and LLMs (e.g., GPT, BERT, Llama). ¢ Fine-tune pre-trained LLMs for specific tasks and domains. Develop and implement generative models for tasks like data augmentation, content generation, and synthetic data creation. ¢ ¢ ¢ Prompt engineering, and prompt iteration. Collect, clean, and preprocess large text datasets for LLM training and evaluation. Perform natural language processing (NLP) tasks such as text classification, sentiment analysis, and entity recognition. ¢ ¢ Use LLMs to assist in data cleaning and data understanding. Develop and evaluate machine learning models, including those leveraging generative AI and LLMs. ¢ Evaluate model performance using relevant metrics and techniques, including those specific to LLMs (e.g., perplexity, BLEU score). ¢ ¢ Tune hyperparameters to optimize model performance. Create compelling visualizations and reports to communicate insights from generative AI and LLM experiments. ¢ ¢ Present findings to both technical and non-technical audiences. Collaborate with engineers, product managers, and researchers to define project requirements and deliver solutions. ¢ ¢ Communicate effectively with team members and stakeholders, both verbally and in writing. Stay up-to-date with the latest advancements in generative AI and LLMs. Copyright © RESULTICKS Solution Inc 1 ¢ ¢ Assist in deploying generative AI models and LLM-powered applications to production environments. Monitor model performance and retrain models as needed. What you will need to thrive: ¢ ¢ 3-5 years of professional experience in data science, with a growing interest in Generative AI and LLMs. Proficiency in Python and relevant libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Hugging Face Transformers). ¢ ¢ ¢ ¢ ¢ ¢ Experience with NLP techniques and libraries. Understanding of machine learning algorithms and statistical concepts. Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau, Power BI). Excellent problem-solving and analytical skills. Strong communication and collaboration skills. Experience with Prompt engineering, version control systems like Git and cloud platforms like GCP, AWS or Azure is a plus Preferred Skills: ¢ ¢ ¢ ¢ ¢ ¢ Experience with fine-tuning LLMs for specific tasks. Experience with deploying LLMs in production environments. Knowledge of deep learning architectures relevant to generative AI and LLMs. Familiarity with vector databases. Experience with RAG (Retrieval Augmented Generation) architectures. Experience with the Langchain Library. Education: ¢ Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field. Core competencies: ¢ Communication, Analytical & Problem-Solving Skills Copyright © RESULTICKS Solution Inc 2 About RESULTICKS RESULTICKS is a fully integrated connected experience platform for Real Time Audience Engagement. RESULTICKS empowers brands to create data-driven communications to their audiences and drives business decisions through its award-winning, AI-powered big data cloud solution. Supported by the worlds first customer data blockchain, RESULTICKS unlocks incredible digital transformation possibilities by delivering the full 360 view of the customer through data consolidation and omnichannel orchestration. Built from the ground up by experts in marketing, technology, and business management, RESULTICKS enables brands to make a transformational leap to conversion- driven, growth-focused personalized engagement. With an advanced CDP at its core. RESULTICKS offers AI-powered omnichannel orchestration, complete analytics, next-best engagement, attribution at the segment-of-one level, and the worlds first marketing block chain. ¢ RESULTICKS has been named to the Gartners Magic Quadrant 2021 for Multichannel Marketing Hubs for five years in a row and has been awarded with the Microsoft Elevating Customer Experience with AI award. ¢ Headquartered in Singapore and New York City, RESULTICKS is one of the top global martech solutions servicing both B2B/B2B2C and B2C segments. RESULTICKS global presence includes the United States, India, Singapore, Indonesia, Malaysia, Vietnam, Thailand, and the Philippines. Watch video on RESULTICKS - https://www.youtube.com/watch?v=G_OwGy6unP8 Copyright © RESULTICKS Solution Inc 3

We are seeking a skilled and motivated Python Developer with 4–9 years of hands-on experience in designing, developing, and deploying robust backend solutions. The ideal candidate will have a strong foundation in Python, a passion for clean code. Required Candidate profile AI Capabilities - NLPs & RAG - Fine-Tuning: PEFT - Transformers & Vectorization: Hugging Face, TF-IDF, Embeddings, Qdrant, Pinecode - LLMs: OpenAI, Claude - Interactive AI Apps: Streamlit, FastAPI

* If you are 5+ years experienced and Immediate joiner , please apply: https://docs.google.com/forms/d/e/1FAIpQLScorR1zEgu9FvDHO-4gjJEOPhk_2tJE6cgftARiy9rwcVcDHg/viewform 5+ years of experience as a backend or full-stack engineer with a strong backend focus Advanced proficiency in Python Practical experience integrating LLMs (e.g., RAG pipelines, agent frameworks, LangChain, LangGraph, or similar) Background in machine learning engineering is a strong plus Solid understanding of service architecture and production deployment workflows Hands-on LLM integration in production (not academic/chatbot-only experience) Expertise in designing production-grade APIs and backend services Strong knowledge of async workflows, deployment, observability, and performance *This is a software engineering role (not data science, analytics, or annotation)* Description: A complete remote role, you can use your own laptop. 8hrs/day, Mon-Fri required Eligibility: Candidates with 5+ years of relevant professional experience are eligible to apply.Must possess strong communication skills , both written and verbal.Should have proven expertise in the specific field or role being applied for. Interview Pattern: Screening Interview - 30 min on google meet Second Interview - 60 min Final Client Interview - 30 min Govt Id should be shown in all interviews and camera is a must. Timings: 8 hrs/day, Mon-Fri Salary will be competitive above the market standards and will be calculated on hourly basis. Role & responsibilities Preferred candidate profile : Immediate Joiners

Are you passionate about building cutting-edge AI applications that make real-world impact? We're looking for a skilled AI Engineer to join our team at a fast-growing SaaS-based company in Pune. Who Were Looking For: An experienced AI Engineer with 5+ years of hands-on experience in developing and deploying AI/ML solutions using the Python stack, with deep knowledge of modern AI/ML frameworks and agentic technologies like LangChain, LangGraph, AutoGen, CrewAI, Hugging Face, OpenAI APIs, and more. Educational Background: B.Tech/M.Tech in Computer Science from Tier 1 institutions only (IITs, NITs, IIITs, BITS Pilani) Key Responsibilities: Develop and deploy scalable, AI-powered applications using Python Build intelligent systems using advanced frameworks (LangChain, Hugging Face, PyTorch, TensorFlow, etc.) Create robust APIs for integrating AI into web and cloud applications Apply MLOps for streamlining model deployment, CI/CD, and monitoring Collaborate with cross-functional teams to align AI capabilities with business needs Manage deployments on AWS, Azure, or GCP, ensuring high performance and security Troubleshoot production issues and deliver timely resolutions Continuously explore and experiment with emerging AI technologies. Tech Stack & Skills: Python, REST APIs, AI/ML agentic frameworks PyTorch, TensorFlow, Hugging Face, OpenAI APIs Cloud: AWS, GCP, or Azure | Docker, Kubernetes MLOps, CI/CD, Git, automation frameworks Strong grasp of data processing and machine learning fundamentals. Soft Skills: Curious, self-driven, and collaborative mindset Passion for innovation in AI/ML Excellent problem-solving and communication skills. Location: Pune Mode: Full-time, 5-day Work from Office Client: Leading SaaS-based product company

Were seeking a forward-thinking Gen AI Engineer to design, implement, and optimize cutting-edge agentic AI solutions using frameworks such as Crew.ai , LangChain , and LangGraph . You will work at the intersection of LLMs , Retrieval-Augmented Generation (RAG) systems, and NLP , enabling impactful AI applications across diverse domains. Key Responsibilities Design and deploy autonomous AI agents and multi-agent systems using LLMs such as GPT-4o, Claude, and LLaMA, leveraging Crew.ai, LangChain (and LangGraph). Own the AI solution lifecycle , including data acquisition, model experimentation, fine-tuning, deployment, and production monitoring. Develop scalable AI backends and pipelines using Python with frameworks like PyTorch or TensorFlow, deploying via REST APIs (FastAPI) on cloud platforms like AWS or Azure. Implement RAG-based systems by integrating open-source LLMs (via Hugging Face or Ollama) with vector databases (e.g., Pinecone, ChromaDB) and structured data stores (SQL/NoSQL). Collaborate with cross-functional teams to ensure reliable, maintainable, and impactful AI solutions. Required Skills & Experience 2 to 5 years of experience in AI/ML, NLP, Generative AI, with a focus on agentic AI systems . Strong proficiency in Python and hands-on experience building RAG systems and deploying open-source LLMs. Experience developing AI-driven backends and services with a strong understanding of scalability and performance. Familiarity with vector search technologies, database integration, and cloud-native architectures. Excellent communication and collaboration skills; ability to work effectively in a team environment. Education B.Tech/B.E. or M.Tech/M.E. in Computer Science, AI/ML, or a related field. Role: Gen AI Engineer Designation: AI Developer Experience: 2-5 Years (AI/ML, NLP, Generative AI): Location: Pune

Job Title: Senior Python Software Architect Job Type: Full-Time Experience Level: 10-15 Years Industry: Software Development / AI & Cloud Infrastructure Reports To: Director of Engineering / CTO Job Overview We are seeking a highly experienced and visionary Senior Python Software Architect to lead the design and development of scalable, secure, and high-performance backend systems. This role is ideal for someone with deep Python expertise, a strong grasp of modern API frameworks like FASTAPI, and a passion for building GenAI agentic systems. You will play a critical role in shaping the architecture of reusable microservices, guiding engineering best practices, and integrating advanced telemetry and observability into our platforms. Key Responsibilities Architect and develop robust Python-based backend systems using modern design patterns and best practices. Extend and customize FASTAPI internals to meet complex business requirements. Design and implement secure authentication flows using Azure AD, OAuth2, and API security best practices. Containerize applications using Docker and deploy them to Kubernetes-based environments. Integrate and extend GenAI frameworks such as LangChain and LangGraph, including agent creation and telemetry instrumentation. Lead architectural decisions for reusable microservice templates and backend infrastructure. Implement asynchronous programming models using async/await, event-driven patterns, and concurrency control. Collaborate with cross-functional teams to ensure scalable and maintainable system design. Mentor junior developers and contribute to code reviews, design sessions, and technical documentation. Must-Have Qualifications 1015 years of professional experience in Python development. Deep understanding of Python meta-programming (decorators, context managers, dynamic class creation). Expertise in software design patterns (Factory, Adapter, Faade, Iterator, etc.). Advanced knowledge of FASTAPI, including customization and internal extension. Experience with Azure Authentication, OAuth2, and secure API design. Proficiency in Docker and Kubernetes for container orchestration. Hands-on experience with LangChain or LangGraph, including telemetry integration (e.g., OpenTelemetry). Proven leadership in system architecture and reusable service design. Strong background in asynchronous programming and event-driven systems.

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a GenAI + Full-Stack Engineer to join our team in Bangalore, Karntaka (IN-KA), India (IN). 3-8 years of strong hands-on experience in software development, with a focus on AI/ML and Generative AI Hands-on with Generative AI technologies with at least one of the following experiences: Working with Large Language Models (LLMs) such as GPT, LLaMA, Claude, etc. Building intelligent systems using LangGraph, Agentic AI frameworks, or similar orchestration tools Implementing Retrieval-Augmented Generation (RAG), prompt engineering, and knowledge augmentation techniques Proficiency in Python, including experience with data processing, API integration, and automation scripting Demonstrated experience in end-to-end SDLC (Software Development Life Cycle): requirement gathering, design, development, testing, deployment, and support Proficient in CI/CD pipelines and version control systems like Git Experience with containerization technologies such as Docker, and orchestration using Kubernetes Strong problem-solving and debugging skills, with an ability to write clean, efficient, and maintainable code Excellent verbal and written communication skills, with the ability to collaborate effectively across technical and business teams About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click . If you'd like more information on your EEO rights under the law, please click . For Pay Transparency information, please click.

Data Scientist Responsibilities Design and implement AI agent workflows. Develop end-to-end intelligent pipelines and multi-agent systems (e.g., LangGraph/LangChain workflows) that coordinate multiple LLM-powered agents to solve complex tasks. Create graph-based or state-machine architectures for AI agents, chaining prompts and tools as needed. Build and fine-tune generative models. Develop, train, and fine-tune advanced generative models (transformers, diffusion models, VAEs, GANs, etc.) on domain-specific data. Deploy and optimize foundation models (such as GPT, LLaMA, Mistral) in production, adapting them to our use cases through prompt engineering and supervised fine-tuning. Develop data pipelines. Build robust data collection, preprocessing, and synthetic data generation pipelines to feed training and inference workflows. Implement data cleansing, annotation, and augmentation processes to ensure high-quality inputs for model training and evaluation. Implement LLM-based agents and automation. Integrate generative AI agents (e.g., chatbots, AI copilots, content generators) into business processes to automate data processing and decision-making tasks. Use Retrieval-Augmented Generation (RAG) pipelines and external knowledge sources to enhance agent capabilities. Leverage multimodal inputs when applicable. Optimize performance and safety. Continuously evaluate and improve model/system performance. Use GenAI-specific benchmarks and metrics (e.g., BLEU, ROUGE, TruthfulQA) to assess results, and iterate to optimize accuracy, latency, and resource efficiency. Implement safeguards and monitoring to mitigate issues like bias, hallucination, or inappropriate outputs. Collaborate and document. Work closely with product managers, engineers, and other stakeholders to gather requirements and integrate AI solutions into production systems. Document data workflows, model architectures, and experimentation results. Maintain code and tooling (prompt libraries, model registries) to ensure reproducibility and knowledge sharing. Required Skills & Qualifications Education: Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field analyticsvidhya.com (or equivalent practical experience). A strong foundation in algorithms, statistics, and software engineering is expected. Programming proficiency: Expert-level skills in Python coursera.org , with hands-on experience in machine learning and deep learning frameworks (PyTorch, TensorFlow) analyticsvidhya.com . Comfortable writing production-quality code and using version control, testing, and code review workflows. Generative model expertise: Demonstrated ability to build, fine-tune, and deploy large-scale generative models analyticsvidhya.com . Familiarity with transformer architectures and generative techniques (LLMs, diffusion models, GANs) analyticsvidhya.comanalyticsvidhya.com . Experience working with model repositories and fine-tuning frameworks (Hugging Face, etc.). LLM and agent frameworks: Strong understanding of LLM-based systems and agent-oriented AI patterns. Experience with frameworks like LangGraph/LangChain or similar multi-agent platforms gyliu513.medium.com . Knowledge of agent communication standards (e.g., MCP/Agent Protocol) gyliu513.medium.comblog.langchain.dev to enable interoperability between AI agents. AI integration and MLOps: Experience integrating AI components with existing systems via APIs and services. Proficiency in retrieval-augmented generation (RAG) setups, vector databases, and prompt engineering analyticsvidhya.com . Familiarity with machine learning deployment and MLOps tools (Docker, Kubernetes, MLflow, KServe, etc.) for managing end-to-end automation and scalable workflows analyticsvidhya.com . Familiarity with GenAI tools: Hands-on experience with state-of-the-art GenAI models and APIs (OpenAI GPT, Anthropic, Claude, etc.) and with popular libraries (Hugging Face Transformers, LangChain, etc.). Awareness of the current GenAI tooling ecosystem and best practices. Soft skills: Excellent problem-solving and analytical abilities. Strong communication and teamwork skills to collaborate across data, engineering, and business teams. Attention to detail and a quality-oriented mindset. (See Ideal Candidate below for more on personal attributes.) Ideal Candidate: Innovative, problem-solver: You are a creative thinker who enjoys tackling open-ended challenges. You have a solutions-oriented mindset and proactively experiment with new ideas and techniques analyticsvidhya.com . Systems thinker: You understand how different components (data, models, services) fit together in a large system. You can architect end-to-end AI solutions with attention to reliability, scalability, and integration points. Collaborative communicator: You work effectively in multidisciplinary teams. You are able to explain complex technical concepts to non-technical stakeholders and incorporate feedback. You value knowledge sharing and mentorship. Adaptable learner: The generative AI landscape evolves rapidly. You are passionate about staying current with the latest research and tools. You embrace continuous learning and are eager to upskill and try new libraries or platforms analyticsvidhya.com . Ethical and conscientious: You care about the real-world impact of AI systems. You take responsibility for the quality and fairness of models, and proactively address concerns like data privacy, bias, and security.

We are seeking a skilled and innovative AI Agent Developer to design, build, and maintain autonomous AI agents capable of performing complex tasks using large language models (LLMs), APIs, and structured environments. The ideal candidate will have a strong foundation in software engineering, experience with AI frameworks, and a passion for building intelligent, adaptive systems. Immediate joiners will be preferred. Key Responsibilities: • Design, develop, and deploy AI agents capable of autonomous decision-making and task execution. • Integrate agents with LLMs (e.g., OpenAI GPT, Claude, Mistral) and external APIs for dynamic reasoning and action. • Implement memory, planning, and tool-use capabilities in agent architectures. • Collaborate with data scientists and backend engineers to optimize performance and scalability. • Monitor and evaluate agent behavior, adapting systems based on real-world feedback. • Contribute to research and innovation on agent frameworks and human-AI interaction models. Required Skills & Qualifications: • Bachelors or Masters degree in Computer Science, Artificial Intelligence, or related field. • 5+ years of experience with Python, AI/ML frameworks (LangChain, AutoGen, etc.), or agent-based modeling. • Experience with RESTful APIs, cloud platforms (AWS, Azure, GCP), and vector databases (e.g., Pinecone, Weaviate). • Understanding of reinforcement learning, planning algorithms, and prompt engineering. • Excellent problem-solving and communication skills. Preferred Qualifications: • Experience building agents in environments like ReAct, AutoGPT, BabyAGI, or custom frameworks. • Background in cognitive architectures, multi-agent systems, or human-in-the-loop systems. • Exposure to ethical considerations and safety in autonomous AI systems. Interested candidates share resume at meenakshi.middha@alcortech.com with CCTC,ECTC and notice period details.

About the Role As a Data Science Engineer, you will need strong technical skills in data modeling, machine learning, data engineering, and software development. You will have the ability to conduct literature reviews and critically evaluate research papers to identify applicable techniques. Additionally, you should be able to design and implement efficient and scalable data processing pipelines, perform exploratory data analysis, and collaborate with other teams to integrate data science models into production systems. Passion for conversational AI and a desire to solve some of the most complex problems in the Natural Language Processing space are essential. You will work on highly scalable, stable, and automated deployments, aiming for high performance. Taking on the challenge of building and scaling a truly remarkable AI platform to impact the lives of millions of customers will be part of your responsibilities. Working in a challenging yet enjoyable environment, where learning new things is the norm, you should think of solutions beyond boundaries. You should also drive outcomes with full ownership, deeply believe in customer obsession, and thrive in a fast-paced environment of learning and innovation. You will work in a challenging, consumer-facing problem space, where you can make an immediate impact. You will get to work with the latest technologies, learn to use new tools and get the opportunity to have your say in the final product. Youll work alongside a great team in an open, collaborative environment. We are part of Vimo, a well-funded, stable mid-size company with excellent salaries, medical/dental/vision coverage, and perks. Vimo is an Equal Opportunity Employer. Data Science Engineer Responsibilities: Build and maintain robust data pipelines to process data from varied sources like databases, APIs, and file systems. Harness data science tools and techniques to develop proof of concepts, evolving solutions through adept prompt engineering and fine-tuning of models like GPT. Conduct comprehensive literature reviews and critically evaluate research papers to identify innovative techniques, focusing on the latest advancements in LLM/Generative AI. Create and manage JSON APIs to expose data, machine learning services, and AI models to other systems and applications. Ensure data accuracy, completeness, and reliability through stringent quality control measures and data validation techniques. Optimize existing language models for generative AI tasks, focusing on enhancing their application across various platforms. Work in tandem with product teams to seamlessly integrate cutting-edge AI technologies, upholding the highest quality standards in product execution. Fine-tune and deploy LLMs, ensuring they are meticulously adjusted and ready for release. Engage in ongoing research and application of new methodologies to bolster the efficiency and output quality of our LLM operations. Design and develop LLMs dedicated to a range of content generation tasks, pushing the boundaries of AI's creative capabilities. Keep up to date of the latest trends and breakthroughs in NLP and large language model technology, incorporating novel approaches to refine our models. Lead experiments and analyses to fine-tune model designs and hyperparameters, ensuring superior model performance with continuous monitoring using KPIs and metrics. Demonstrate strong analytical and troubleshooting skills; and someone who enjoys owning and solving problems end-to-end. Excellent communication skills. Comfortable interacting with remote teams in multiple offices that practice agile methodologies. Requirements & Qualifications: Bachelors or masters degree in computer science, Engineering, Mathematics, Statistics, or a related field. Minimum of 2 years of experience in NLP oriented data engineering or data science roles with a significant emphasis on working with LLM/Generative AI models. Robust understanding of NLP concepts, with hands-on experience in conversational AI and expertise in natural language understanding and generation. Proficiency in Python programming and familiarity with libraries and frameworks such as Pandas, NumPy, Scikit-learn, Tensor flow, transformers, PyTorch, and Keras. Solid experience in building, maintaining, and fine-tuning large language models, with a keen understanding of prompt engineering techniques. Strong grasp of data architecture, database design, data modeling principles, and the integration of AI models into scalable systems. Experience with JSON APIs and building RESTful & GRPC web services. Excellent analytical and problem-solving skills, capable of working independently and collaboratively in a team-oriented environment. Showcase proven expertise in working with deep learning frameworks and LLMs, with a strong foundation in prompt engineering, tokenization, embeddings, model optimization, and deployment strategies. Demonstrate previous involvement in creating user-centric products leveraging ML/AI technologies, with a good understanding of predictive modeling, meta-learning, and transfer learning. Excellent problem-solving and communication skills BS degree in Information Technology, Computer Science, or relevant field Additional Experience We Would Love to Have Experience with cloud technologies such as AWS is a plus. Background in design and development of Technology for Government Health and Human Services Experience with design and development of SaaS solutions.

Required Qualifications, Capabilities, and Skills: Solid understanding of backend performance optimization and debugging. Formal training or certification on software engineering concepts and proficient applied experience • Strong hands-on experience with Python Experience in developing microservices using Python with FastAPI. Commercial experience in both backend and frontend engineering Hands-on experience with AWS Cloud-based applications development, including EC2, ECS, EKS, Lambda, SQS, SNS, RDS Aurora MySQL & Postgres, DynamoDB, EMR, and Kinesis. Strong engineering background in machine learning, deep learning, and neural networks. Experience with containerized stack using Kubernetes or ECS for development, deployment, and configuration .Experience with Single Sign-On/OIDC integration and a deep understanding of OAuth, JWT/JWE/JWS. Knowledge of AWS SageMaker and data analytics tools. Proficiency in frameworks TensorFlow, PyTorch, or similar. Preferred Qualifications, Capabilities, and Skills: Familiarity with LangChain, Langgraph, or any Agentic Frameworks is a strong plus. Python engineering experience.