306 Llms Jobs - Page 7

Roles and Responsibilities Lead a team of AI developers to design, develop, and deploy large language models (LLM) solutions using OpenAI's RAGBank. Collaborate with cross-functional teams to identify business requirements and translate them into technical specifications for LLM development. Develop and maintain high-quality codebase for deployed LLM models, ensuring scalability, reliability, and performance. Participate in code reviews to ensure adherence to coding standards and best practices. Provide guidance on data preprocessing techniques for text data ingestion from various sources. Desired Candidate Profile 5-10 years of experience in developing AI/ML applications with expertise in LLMs. Strong understanding of OpenAI's RAGBank architecture and its application in natural language processing tasks. Proficiency in programming languages such as Python or similar technologies; knowledge of TensorFlow or PyTorch is an added advantage.

Lead and scale Django backend features, mentor 2 juniors, manage deployments, and ensure best practices. Expert in Django, PostgreSQL, Celery, Redis, Docker, CI/CD, and vector DBs. Own architecture, code quality, and production stability.

What You ll Bring Education: Bachelors degree in Computer Science, Engineeringor a related field froma top university (IIT, or similar abroad). MBA (from top university, IIM or similar abroad) is strongly preferred. Experience: 5+ years of experience in product management, with experiencemanaging end customer products withAI and/or related technologies. Technical Proficiency: Strong understanding of AI technologies, including LLMs, machine learning, natural language processing, computer vision, and data analytics. Leadership Skills: Proven ability to lead and inspire cross-functional teams, manage complex projects, and drive strategic initiatives. Analytical Skills: Excellent analytical and problem-solving skills, with the ability to leverage data to inform product decisions. Communication: Exceptional verbal and written communication skills, with the ability to articulate complex technical concepts to diverse audiences. Customer Focus: Deep commitment to understanding and meeting customer needs, with a track record of delivering successful products. Innovation Mindset: Passion for innovation and staying ahead of industry trends and technological advancements.

As a Fullstack Engineer at our company, you will be an integral part of developing a new AI-driven product right from its inception. Your passion for innovation, prototyping, and product development will be key in shaping the technical direction and architecture of the product. This hands-on role will also involve mentoring and managing junior Engineers as the team expands. Your primary responsibilities will include designing, building, and iterating on Proof of Concepts for new AI-powered features, leading the development of scalable web applications from frontend to backend, integrating APIs and machine learning models in collaboration with product and AI/ML teams, and making strategic decisions regarding architecture, tooling, and infrastructure. You will also be responsible for deploying, monitoring, and maintaining applications in production environments, defining coding standards, documentation practices, and development workflows, and overseeing the full Software Development Life Cycle. To excel in this role, you should possess strong experience in fullstack development, a proven track record of building and deploying web applications, and familiarity with AI/ML product POCs, model integration, and API-based ML services. A solid understanding of RESTful APIs, JSON, and modern frontend frameworks such as React, Angular, or Vue is essential, along with proficiency in frontend and backend technologies, DevOps practices, and the ability to prototype and iterate quickly in a fast-paced environment. Strong problem-solving skills, a startup mindset, and leadership experience or potential to mentor and manage a small team will be valuable assets. Additionally, experience with MLOps or ML model lifecycle, familiarity with LLMs, vector databases, or AI service platforms like OpenAI, HuggingFace, Pinecone, exposure to data engineering and pipeline design, and previous involvement in startup or product development initiatives will be beneficial. Joining our team will offer you the opportunity to be a founding engineer on a product with exciting potential, work at the cutting edge of AI, product innovation, and software engineering, and contribute to building and shaping the tech stack, processes, and team culture right from the start.,

You are a talented and passionate RAG (Retrieval-Augmented Generation) Engineer with strong Python development skills, joining our AI/ML team in Bengaluru, India. Your role involves working on cutting-edge NLP solutions that integrate information retrieval techniques with large language models (LLMs). The ideal candidate will have experience with vector databases, LLM frameworks, and Python-based backend development. In this position, your responsibilities will include designing and implementing RAG pipelines that combine retrieval mechanisms with language models, developing efficient and scalable Python code for LLM-based applications, integrating with vector databases like Pinecone, FAISS, Weaviate, and more. You will fine-tune and evaluate the performance of LLMs using various prompt engineering and retrieval strategies, collaborating with ML engineers, data scientists, and product teams to deliver high-quality AI-powered features. Additionally, you will optimize system performance and ensure the reliability of RAG-based applications. To excel in this role, you must possess a strong proficiency in Python and experience in building backend services/APIs, along with a solid understanding of NLP concepts, information retrieval, and LLMs. Hands-on experience with at least one vector database, familiarity with Hugging Face Transformers, LangChain, LLM APIs, and experience in prompt engineering, document chunking, and embedding techniques are essential. Good knowledge of working with REST APIs, JSON, and data pipelines is required. Preferred qualifications for this position include a Bachelors or Masters degree in Computer Science, Data Science, or a related field, experience with cloud platforms like AWS, GCP, or Azure, exposure to tools like Docker, FastAPI, or Flask, and an understanding of data security and privacy in AI applications.,

This is a full-time position with D Square Consulting Services Pvt Ltd based in Bangalore and requires 6-8 years of experience. The work mode for this role is Onsite and the candidate who can join within 15 days may only apply. As an AI/ML Engineer, you will be responsible for leading the end-to-end design, development, and deployment of advanced AI/ML solutions for digital marketing and analytics. Your role will involve driving innovation, leveraging cutting-edge techniques, and standardizing multi-cloud model deployment through collaboration to deliver profound data insights. To qualify for this role, you should have a Bachelor's degree in Computer Science, Data Science, ML, Mathematics, Statistics, Economics, or related fields with an emphasis on quantitative methods. Additionally, you should possess 6-7 years of experience in software engineering with expertise in the full lifecycle of ML model development, deployment, and operationalization. Your ability to write robust, efficient, and scalable Python, Java, Spark, and SQL code following industry best practices is crucial. You should have extensive experience with major ML frameworks such as TensorFlow, PyTorch, Scikit-learn, advanced deep learning libraries, and strong knowledge of diverse ML algorithms. Experience in deploying and managing AI/ML models on major cloud platforms like Azure, AWS, GCP is required. Experience with LLMs and generative AI is highly desirable. In this role, you will lead cross-functional teams to deliver and scale complex AI/ML solutions, architect, design, develop, train, and evaluate high-performance AI/ML models. You will drive implementation, deployment, and maintenance of AI/ML solutions, oversee data exploration, preprocessing, feature engineering, and data pipeline development. Furthermore, you will establish strategies for continuous testing, validation, and monitoring of deployed AI/ML models, collaborate with senior stakeholders to translate business requirements into scalable AI solutions, and champion the adoption of the latest AI/ML technologies and best practices. Your problem-solving skills, communication abilities, and experience in classification, time series forecasting, customer lifetime value models, LLMs, and generative AI from Retail, eCommerce, or CPG industry will be beneficial in this role. Join us in fostering innovative thinking and continuous improvement in AI/ML technologies to maximize business value.,

The project is expected to last for 6 months with a monthly rate of 1.60 Lac. The ideal candidate should have 4-7 years of experience and the work location will be in Bangalore with hybrid working options available. As a candidate, you are required to have a strong proficiency in Python, LLMs, Lang Chain, Prompt Engineering, and related Gen AI technologies. Additionally, you should have proficiency with Azure Databricks and possess strong analytical, problem-solving, and stakeholder communication skills. A solid understanding of data governance frameworks, compliance, and internal controls is essential. Your experience should include data quality rule development, profiling, and implementation, as well as familiarity with Azure Data Services such as Data Lake, Synapse, and Blob Storage. Preferred qualifications for this role include experience in supporting AI/ML pipelines, particularly with GenAI or LLM based models. Proficiency in Python, PySpark, SQL, and Delta Lake architecture is desired, along with hands-on experience in Azure Data Lake, Azure Data Factory, and Azure Synapse Analytics. A background in data engineering with a strong expertise in Databricks would be beneficial for this position.,

You are looking for a visionary Data Science Manager with expertise in Generative AI and Retrieval-Augmented Generation (RAG) to lead AI initiatives from both technical and business perspectives. In this role, you will lead a team of data scientists and ML engineers, design Generative AI models, develop statistical models, and integrate knowledge retrieval systems to enhance performance. Your responsibilities will include mentoring the team, designing scalable AI/ML solutions, implementing Generative AI models, and developing statistical models for forecasting and segmentation. You will also be responsible for integrating databases and retrieval systems, ensuring operational excellence in MLOps, and collaborating with various teams to identify high-impact use cases for GenAI. To qualify for this role, you should have a Masters in Computer Science or related fields, 10+ years of data science experience with 2+ years in GenAI initiatives, proficiency in Python and key libraries, and a strong foundation in statistical analysis and predictive modeling. Experience in cloud platforms, vector databases, and MLOps is essential, along with a background in sectors like legal tech, fintech, retail, or health tech. If you have a proven track record in building and deploying LLMs, RAG systems, and search solutions, along with a knack for influencing product roadmaps and executive strategy, this role is perfect for you. Your ability to translate complex AI concepts into actionable strategies and present findings to non-technical audiences will be crucial in driving AI/ML adoption and contributing to the company's innovation roadmap.,

The company Raven, a YC-backed startup (S22), is dedicated to developing AI assistants for manufacturing plants by leveraging decades of manufacturing expertise combined with AI technology to address operational challenges. With strong support from top VCs, the team in Bangalore focuses on enhancing industrial operations to promote safety, intelligence, and efficiency within challenging work environments. As a part of the team, your key responsibilities will revolve around the core technical aspect of constructing AI-native applications and agents tailored for manufacturing workflows. Your tasks will include: - Building Python/Go backend services that seamlessly integrate with AI systems. - Enhancing multi-modal pipeline infrastructure to manage P&IDs, SOPs, sensor data, and technical documents effectively. - Developing agent memory systems utilizing knowledge graphs and event timelines. - Designing AI orchestration layers to facilitate decision-making workflows based on structured/unstructured plant data. - Rapid prototyping of new AI workflows and deploying them in real-world plant settings. The ideal candidate for this role should possess: - 2+ years of experience in constructing production systems. - Proficiency in Python/Go programming, with familiarity in LLMs, embeddings, and vector storage. - A keen interest in problem-solving and a proactive approach towards finding solutions. - A deep commitment to problem ownership throughout the entire process, from exploring potential solutions to implementing functional systems in production. - Comfort in handling ambiguity, adapting quickly, and delivering tangible value. A bonus would be past experience working in a startup environment and a willingness to take on various responsibilities. Joining Raven means being part of a team dedicated to developing fundamental systems that empower plant teams to make quicker and safer decisions. The role offers: - Impact: As one of the initial hires, you will play a pivotal role in shaping the product, culture, and trajectory of the company. - Ownership: You will be granted 0.1-1% equity, emphasizing the importance of feeling a sense of ownership in the company. - Focus: An opportunity to tackle significant, complex problems that directly influence real-world outcomes related to safety and efficiency. The company values the collaboration and fast iteration that come with working together in person, particularly at this stage of growth. The emphasis on teamwork and proximity aims to enhance collaboration and accelerate progress towards shared goals.,

What will you do 1. Dealer Platform Ownership (App, Web, API) Build smart, self-learning interfaces (mobile/web) that adapt to dealer behavior and drive outcomes Lead development of APIs and services that enable automation and intelligent interactions across systems Embed Agentic AI capabilities like proactive recommendations, real-time nudges, and conversational flows into the dealer experience Design systems that allow agents to act on behalf of usersautomating photo audits, inventory publishing, pricing optimizations, etc. 2. Build Core Business Platforms (Users, Billing, Revenue, Resellers) Architect modular and AI-augmented user, billing, and reseller systems Enable autonomous agent actions like: detecting billing anomalies, initiating upsell nudges, resolving credit issues, or suspending non-compliant accounts Power a reseller network with tools that drive self-service, policy enforcement, and scalable partner success via AI assistants 3. Drive Internal Automation with Agentic AI Build internal tools that function as co-pilots for Sales, CS, Marketing, Finance, and HR Enable AI agents to generate reports, schedule follow-ups, escalate risk, and suggest campaign ideas without human intervention Automate onboarding, revenue leakage tracking, payout reconciliations, and internal approvals through intelligent workflows 4. Platform Security, Performance & Scalability Define the framework for secure, scalable, and high-performing systems that support AI agents acting independently Collaborate with engineering to ensure observability, self-healing behaviors, and fail-safe mechanisms are in place for autonomous actions Ensure compliance, access controls, and audit trails are AI-aware and proactive in risk mitigation 5. Leadership and Execution Set product vision and roadmap aligned with Spyne's AI-first platform strategy Manage, mentor, and grow a world-class product team that thrives on innovation and speed Collaborate deeply with Engineering, Design, Data, and GTM leaders to execute rapidly with user-first thinking What you must have 8+ years of product management experience, with at least 5 years leading product teams Proven track record of successfully launching AI/ML products at scale Experience with Computer Vision and/or LLM technologies and their practical applications Strong technical background with ability to collaborate effectively with ML/AI engineering teams Outstanding leadership and communication skills Exceptional communication skills to explain technical AI concepts to non-technical stakeholders. Analytical mindset with the ability to define and measure success metrics. Hands-on experience with product development tools (e.g., Figma, Jira) and basic familiarity with LLM APIs (e.g., OpenAI, Anthropic, Hugging Face). Ability to thrive in a fast-paced, ambiguous environment.

The Data Science Analyst role at Citi, located in Gurgaon, is a developing professional position within the GWFO team. As a Data Science Analyst, you will utilize specialized knowledge in machine learning, statistical modeling, and data analysis to evaluate processes and data, identifying opportunities for leveraging advanced analytics to enhance business outcomes. You will play a key role in automating processes, generating actionable insights, and developing innovative AI solutions to contribute to the organization's success. Collaboration with cross-functional stakeholders is a fundamental aspect of this role. In this position, your responsibilities will include gathering and processing operational data from various stakeholders, applying machine learning techniques to identify data patterns and trends, developing and implementing machine learning models for predictive analytics, and designing Generative AI solutions to enhance customer experience. You will also experiment with agentic AI frameworks, develop tools to evaluate AI solutions" performance, and translate data into consumer insights to drive targeting and segmentation strategies. Effective communication of findings to business partners and senior leaders is essential for success in this role. The ideal candidate should possess 5+ years of relevant experience in data science or a related field, advanced process management skills, a curious mindset for learning new skill sets, and strong programming skills in Python. Proficiency in relevant data science libraries, experience with statistical modeling techniques, and familiarity with data visualization tools are required. Additionally, strong logical reasoning capabilities, willingness to learn new skills, and good communication and presentation skills are essential for this position. A Bachelor's/University degree or equivalent experience in a quantitative field is necessary, with a Master's degree being preferred. Working at Citi offers more than just a job it provides the opportunity to join a global family of dedicated individuals, grow your career, contribute to your community, and make a meaningful impact. If you require a reasonable accommodation due to a disability to access our search tools or apply for a career opportunity, please review the Accessibility at Citi information. For more details, you can refer to Citis EEO Policy Statement and the Know Your Rights poster.,

As the Senior Vice President, Data Management & Quantitative Analysis Manager at BNY, you will play a pivotal role in collaborating with desk strats and the quantitative analytics team to create and maintain C++/Python analytics libraries for pricing and risk analytics. Your responsibilities will involve developing pricing models for Rates, FX, and Equity models, as well as working closely with the platform engineering team to integrate analytics libraries into the firm's risk systems. You will also be tasked with exploring market data, pricing, and risk analytics issues, implementing AI-based quantitative workflow solutions, and leading a team of Quant Developers to drive quantitative business solutions. The ideal candidate will possess a Bachelor's/Master's degree in a relevant technical discipline such as Computer Science, Mathematics, or Financial Engineering. A finance-related qualification like CFA, FRM, or CQF would be advantageous. Proficiency in Python/C++ programming with a background in financial mathematics and quant development work is essential. Additionally, a strong understanding of FX and Fixed Income products pricing, yield curve construction, scenario analysis, sensitivities calculations, PFE, VaR, CCAR stress scenarios is required. Experience in developing pricing and risk analytics systems, familiarity with object-oriented analysis, and excellent analytical and problem-solving skills are key attributes for this role. Good communication skills and the ability to collaborate with trading desks and platform engineering teams are also essential. Previous front office experience involving FX and Rates, as well as knowledge about LLMs and AI-based quants workflow solutions, are preferred qualifications. Preferred candidates will have graduated from top-tier colleges such as IITs/BITs/NITs and possess professional experience with investment banking firms like Goldman Sachs, JP Morgan, Morgan Stanley, Deutsche Bank, etc. Professional certifications in finance such as FRM, CQF, or CFA are also desirable. Join BNY, an award-winning company recognized for its innovation, inclusivity, and commitment to excellence. Our accolades include being named America's Most Innovative Companies by Fortune in 2024, one of the World's Most Admired Companies, and achieving a 100% score on the Human Rights Campaign Foundation's Corporate Equality Index in 2023-2024. Additionally, we have been recognized as one of the Best Places to Work for Disability Inclusion, a Top Performing Company for Sustainability, and as part of the Bloomberg Gender Equality Index. At BNY, we value diversity and provide equal employment opportunities to underrepresented racial and ethnic groups, females, individuals with disabilities, and protected veterans.,

Job Description: As a Data Scientist at Hitachi Solutions India Pvt Ltd in Pune, India, you will be a valuable member of our dynamic team. Your primary responsibility will be to extract valuable insights from complex datasets, develop advanced analytical models, and drive data-driven decision-making across the organization. With 8-14 years of experience, your primary skills should include Data Science, with secondary skills in Data Engineering/Data Analytics. You will play a pivotal role in working on cutting-edge AI applications with a focus on Natural Language Processing (NLP), Time Series Forecasting, and a working knowledge of Computer Vision (CV) techniques. Your role will involve collaborating with a diverse team of engineers, analysts, and domain experts to build holistic, multi-modal solutions. Your expertise in Python and libraries like Pandas, NumPy, Scikit-learn, HuggingFace Transformers, and Prophet/ARIMA will be essential. Additionally, you should have a strong understanding of the model development lifecycle, from data ingestion to deployment, and hands-on experience with SQL and data visualization tools like Seaborn, Matplotlib, and Tableau. Experience in handling retail-specific data, familiarity with cloud platforms like AWS, GCP, or Azure, and exposure to API development (FastAPI, Flask) for ML model deployment will be beneficial. Knowledge of MLOps practices, previous experience in fine-tuning language models, and expertise in Data Engineering using Azure technologies are desirable skills for this role. Key responsibilities will include applying NLP techniques to extract insights from text data, analyzing historical demand data for Time Series Forecasting, and potentially contributing to Computer Vision projects. Collaboration with cross-functional teams and developing scalable ML components for production environments will be crucial aspects of your role. Qualifications required for this position include a Master's degree in Computer Science, Data Science, Statistics, or a related field, proven experience in data science or machine learning, strong proficiency in Python and SQL, and familiarity with cloud technologies like Azure Databricks and MLflow. Excellent problem-solving skills, strong communication abilities, and the capability to work independently and collaboratively in a fast-paced environment are essential for success in this role. Please be cautious of potential scams during the recruitment process, and all official communication regarding your application and interview requests will be from our @hitachisolutions.com domain email address.,

As a Senior Director at Accordion, you will play a crucial role in designing, developing, and maintaining complex web applications using the MERN stack (MongoDB, Express.js, React.JS, and Node.js). Your expertise in Azure/AWS Web Application Development will be essential in collaborating with cross-functional teams to deliver high-quality web applications that meet client requirements. You will have the opportunity to integrate generative AI models and tools into applications, ensuring enhanced user experiences and innovative features. Your responsibilities will include researching and evaluating new technologies to stay up-to-date with industry trends, providing technical leadership and mentorship to junior team members, and demonstrating strong experience in developing and implementing Gen AI based applications. Your proficiency in software architecture principles, including microservices, API management, and data integration, will be crucial in designing microservices-based systems and integrating Gen AI models into enterprise applications. Ideally, you will have a strong proficiency in the MERN stack, including JavaScript, TypeScript, HTML, CSS, and MongoDB. Experience with designing and developing scalable web applications, serverless computing, containerization technologies, and DevOps practices and tools will be beneficial. Your knowledge of data visualization and analytics tools will further enhance your capabilities in this role. Exploring a career at Accordion means being part of a high-growth environment with semi-annual performance management and promotion cycles that enable a fast track to leadership responsibility. You will have exposure to interesting and challenging work streams across industries, an entrepreneurial environment that fosters intellectual freedom, and a fun culture with a strong peer group that accelerates your learning curve. Additionally, you will have access to health and wellness programs, corporate meal card options, team outings, robust leave policies, and various employee engagement initiatives to support your personal and professional development. Join Accordion and experience a better way to work!,

As a Full Stack AI Developer, you will be responsible for designing, developing, and maintaining AI-powered full stack applications. Your key responsibilities will include building and optimizing REST APIs using FastAPI/Flask, integrating advanced LLM capabilities, creating backend services, implementing Generative AI features, developing front-end interfaces with Streamlit or React, and applying best practices in software engineering. You will also work with cloud platforms like AWS, Azure, and GCP to monitor AI systems in production environments. Required Technical Skills: Core Python Development: Proficiency in Python 3, including syntax, control flow, data structures, functions, error handling, file I/O, modules, decorators, list/dict comprehensions, and exception management. Scientific & Data Libraries: NumPy for array operations, broadcasting; Pandas for data manipulation, aggregation, data cleaning; Database Integration with SQL, SQLite, MongoDB, Postgres, vector DBs (Chroma, PGVector, FIZZ). API Development: RESTful API design with FastAPI or Flask, async/await, dependency injection, request validation, JWT/OAuth2 auth, vector DB integration, and streaming LLM responses. Generative AI / LLMs: Understanding of Transformer architectures, LLMs (GPT, BERT, LLaMA), LangChain, LlamaIndex, Hugging Face Transformers, prompt engineering, parameter tuning, RAG, and agent-based workflows. Deployment & Containerization: Proficiency in Docker, Dockerfiles, Docker Compose, CI/CD pipelines, GitHub Actions, and deploying containerized services. Frontend Development: HTML5, CSS3, modern JavaScript (ES6+), Streamlit, React.js (with TypeScript), building conversational UIs, integrating streaming outputs via WebSockets/SSE. Desirable Skills: Experience with cloud services (AWS, Azure, GCP), monitoring and logging for AI systems, testing frameworks like pytest, httpx, React Testing Library, PDF extraction, OCR tools, frontend accessibility, and performance optimization. Soft Skills: Strong communication and documentation skills, problem-solving mindset, ability to collaborate across cross-functional teams. Educational Qualification: Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or related field. Certifications or hands-on experience in Generative AI/LLMs is a plus. In summary, this role is ideal for individuals passionate about developing end-to-end AI applications using GenAI products, LLMs, APIs, Vector Databases, and modern front-end stacks in a production-ready environment.,

About Vivriti Group Vivriti Group is a trailblazer in the mid-market lending space, offering customized debt solutions to mid-sized enterprises. The group operates through two core businesses: Vivriti Capital Limited, a systematically important Non-Banking Financial Company (NBFC ND-SI) regulated by the Reserve Bank of India (RBI), and Vivriti Asset Management, a fixed-income fund manager managing multiple Alternative Investment Funds (AIFs). Vivriti Capital has disbursed over USD 3 billion to 300+ enterprise borrowers with a CRISIL rating of A+. Vivriti AMC has over USD 550 million in commitments from 900+ institutional and private contributors and has invested more than USD 600 million across 90+ entities. Job Title: Manager - AI Product Location: Chennai / Bangalore Employment Type: Full-time Department: Product Management Role Overview As an AI Product Manager at Vivriti Group, you will be responsible for owning the end-to-end lifecycle of AI/ML products focused on wholesale lending. This includes activities from ideation and strategy to development, launch, and iteration. Collaboration with data scientists, engineers, designers, credit, risk, and business stakeholders is crucial to ensure that AI initiatives align with user needs and business goals. Key Responsibilities - Define and execute the AI product roadmap in collaboration with leadership and cross-functional teams. - Translate business problems into clear AI/ML product requirements. - Collaborate with data scientists and engineers to define success metrics, datasets, and model evaluation frameworks. - Prioritize product features and improvements based on user research, data analysis, and business value. - Ensure model performance, explainability, fairness, and compliance with ethical standards. - Drive experimentation, A/B testing, and iteration cycles for continuous product improvement. - Act as the liaison between engineering, data science, design, and stakeholders to ensure timely and high-quality delivery. - Stay updated on emerging AI trends, technologies, and best practices. User Experience (UX) Champion a user-centric design approach by working with UX/UI designers to create intuitive, efficient, and delightful user experiences for complex financial workflows. Performance & Metrics Define key performance indicators (KPIs) for product success and provide regular reports on product performance to stakeholders. Requirements Must-Have: - Up to 3 years of product management experience, preferably with AI/ML-based products. - Basic understanding of machine learning concepts, model lifecycle, and data infrastructure. - Proven experience in translating complex technical requirements into scalable product solutions. - Familiarity with MLOps, model evaluation metrics, and deployment pipelines. - Exceptional communication and stakeholder management skills. - Experience with agile product development and tools (e.g., Jira, Confluence, Figma, GitHub). Nice-to-Have: - Hands-on experience with data analysis tools (e.g., SQL, Python, Jupyter). - Experience with LLMs, generative AI, or AI applications in NLP, computer vision, or recommendation systems. - Background in computer science, engineering, data science, or a related field. - Prior startup or high-growth environment experience.,

As a Senior AI Engineer - Voice AI / Autonomous Agents at Spyne, you will have the opportunity to own and build Spynes in-house voice bot stack. In this high-impact individual contributor role, you will be at the intersection of LLMs, ASR/TTS, and voice UX, focusing on creating deeply human, latency-optimized conversations between auto dealerships and their customers. Your main responsibilities will include: Voice AI Stack Ownership: Building and owning the end-to-end voice bot pipeline, including ASR, NLU, dialog state management, tool calling, and TTS to deliver a natural, human-like conversation experience. LLM Orchestration & Tooling: Architecting systems using MCP (Model Context Protocol) to mediate structured context between real-time ASR, memory, APIs, and the LLM. RAG Integration: Implementing retrieval-augmented generation to ground responses using dealership knowledge bases, inventory data, recall lookups, and FAQs. Vector Store & Memory: Designing scalable vector-based search for dynamic FAQ handling, call recall, and user-specific memory embedding. Latency Optimization: Engineering low-latency, streaming ASR + TTS pipelines and fine-tuning turn-taking models for natural conversation. Model Tuning & Hallucination Control: Using fine-tuning, LoRA, or instruction tuning to customize tone, reduce hallucinations, and align responses to business goals. Instrumentation & QA Looping: Building robust observability, running real-time call QA pipelines, and analyzing interruptions, hallucinations, and fallbacks. Cross-functional Collaboration: Working closely with product, infra, and leadership to scale this bot to thousands of US dealerships. To be successful in this role, you should possess: Architect-level thinking: Understanding how ASR, LLMs, memory, and tools fit together and having the ability to design modular, observable, and resilient systems. LLM Tooling Mastery: Implementing tool calling, retrieval pipelines, function calls, or prompt chaining across multiple workflows. Fluency in Vector Search & RAG: Knowing how to chunk, embed, index, and retrieve, while avoiding prompt bloat and token overflow. Latency-First Mindset: Debugging token delays, understanding the cost of each API hop, and optimizing round-trip time to maintain human-like interactions. Grounding > Hallucination: Tracing hallucinations back to weak prompts, missing guardrails, or lack of tool access and effectively addressing them. Prototyper at heart: Being unafraid of building from scratch and iterating quickly, utilizing open-source or hosted tools as necessary. The ideal candidate will have: 5+ years of experience in AI/ML or voice/NLP systems with real-time experience. Deep knowledge of LLM orchestration, RAG, vector search, and prompt engineering. Experience with MCP-style architectures or structured context pipelines between LLMs and APIs/tools. Experience integrating ASR (Whisper/Deepgram), TTS (ElevenLabs/Coqui), and OpenAI/GPT-style models. Solid understanding of latency optimization, streaming inference, and real-time audio pipelines. Hands-on experience with Python, FastAPI, vector DBs (Pinecone, Weaviate, FAISS), and cloud infra (AWS/GCP). Strong debugging, logging, and QA instincts for hallucination, grounding, and UX behavior. Working at Spyne offers real-world AI impact at scale, a high-performing team that balances speed with technical depth, high autonomy and visibility from day one, rapid career acceleration, access to MacBook and all necessary tools and compute, a flat structure with real work focus, and no BS. Join us in redefining how cars are marketed and sold with cutting-edge Generative AI.,

As an AI Developer, you will be responsible for designing and developing AI/ML models focused on natural language understanding, intelligent automation, and real-time decision-making utilizing NLP, LLMs, and RAG techniques. Your role will involve collaborating with cross-functional teams to seamlessly integrate AI models into platforms, ensuring scalability, accuracy, and efficiency. Additionally, you will support training and development programs across various locations in India, including client sites, academic institutions, and partner locations. Your responsibilities will include the continuous testing, refinement, and documentation of AI systems using tools such as Python, TensorFlow, Hugging Face, and cloud services. You will also be expected to engage in knowledge sharing activities, conduct technical workshops, and deliver on-site demos to promote AI solutions and drive adoption. This is a full-time position with benefits including cell phone reimbursement, provided meals, health insurance, paid sick time, and Provident Fund. The work schedule is during day shift hours. The ideal candidate should hold a Bachelor's degree and have a total of 1 year of experience, with specific experience as an AI Developer preferred. The work location for this role is in person. Join us in this exciting opportunity to contribute to cutting-edge AI projects and make a meaningful impact in the field of artificial intelligence.,

As an AI Specialist at our company based in Hyderabad, you will be responsible for training and fine-tuning LLMs such as LLaMA and Mistral to cater to company-specific use cases. You will play a vital role in customizing and optimizing model performance for seamless production deployment. Collaboration with internal teams for model integration and data pipelines will be a key aspect of your role. It is imperative that you stay abreast of the latest advancements in GenAI and LLM techniques to contribute effectively. To excel in this role, you must possess hands-on experience with LLMs and fine-tuning techniques. Your expertise in the specifics of vector database indexing will be highly beneficial. We are looking for someone with a robust background in advanced AI/ML techniques and database indexing, particularly in the context of production projects. Familiarity with technologies such as LoRA, QLoRA, RAG, and PEFT is desirable. Additionally, your knowledge of model evaluation, optimization, and GPU training will be crucial for success in this position.,

At InnovationM , we're shaping the future of enterprise AI and are looking for a Senior Agentic AI Engineer to lead the design and development of cutting-edge agentic frameworks. Youll help build a scalable AI foundation that empowers multiple teams to deploy intelligent agents with autonomy, memory, and reasoning capabilities. Key Skills: Python | LangGraph | CrewAI | RAG | LLMs | Agentic Frameworks Tool Integration | Vector Databases | Autonomous Decision-Making Human-in-the-Loop | Secure, Scalable Architectures What Youll Do: Architect enterprise-grade AI frameworks Build reusable agentic patterns using LangGraph, CrewAI, AutoGPT Enable tools like APIs, vector stores, RPA, and internal services Collaborate across teams to bring autonomy into complex workflows Mentor and guide teams on the future of agentic AI Why Join Us? Work on the latest in AI/ML and agentic systems Engage with large-scale clients and impactful projects Thrive in a culture of innovation, learning & development Location: Noida Sec-126 l 5 Days work from Office Apply now: neha.sharma@innovationm.com

Role and Responsibilities Develop and fine-tune LLMs using techniques like RAG, transfer learning, or domain-specific adaptation Build AI agents using frameworks like LangChain or CrewAI to manage dynamic and multi-step workflows Work with vector databases (e.g., Pinecone) to enable semantic search and retrieval Design and maintain ETL pipelines and ensure smooth data preprocessing and transformation Implement NLP solutions for tasks like intent detection, sentiment analysis, and content generation Develop backend APIs and services using Python frameworks like FastAPI or Flask Contribute to scalable microservice-based architectures Requirements Bachelor's degree in Computer Science, Information Technology, or a related field. 2 to 4 years in AI/ML development and backend system Machine Learning Fundamentals: Strong grasp of algorithms, model training, evaluation, and tuning Generative AI Models: Experience working with LLMs, RAG architecture, and fine-tuning techniques LangChain or Similar Frameworks: Hands-on experience building AI workflows using toolkits like LangChain Natural Language Processing (NLP): Proficiency in text analytics, classification, tokenization, embeddings Vector Databases: Practical use of tools like Pinecone, FAISS, or similar for retrieval-augmented generation Big Data Handling: Ability to work with large datasets, optimize storage, and processing pipelines SQL/NoSQL: Experience in querying and managing structured and unstructured data Python & API Development: Proficiency in Python and frameworks like FastAPI or Flask ETL & Data Preprocessing: Strong understanding of building pipelines for clean and efficient data processing Soft Skills: Strong problem-solving, communication, and collaboration abilities Good-to-Have Skills: Agentic AI Tools: Exposure to CrewAI or similar platforms for orchestrating multi-agent interactions Content Structuring: Experience in clustering, topic modeling, or organizing unstructured data ETL Enhancements: Advanced optimization techniques for faster and more efficient pipelines Domain Exposure: Prior work on projects involving customer insights, chat summarization, or sentiment analysis Role & responsibilities

Responsibilities: Collect and analyze large datasets to identify trends and patterns. Use LLMs to identify trends in data and leverage intuition to find opportunities to improve the user experience in data-related features. Build POCs to demonstrate the feature opportunities identified during data analysis. Create and maintain dashboards and reports to communicate findings. Collaborate with cross-functional teams to understand their data needs and provide actionable insights. Use statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts. Develop and implement data collection systems and other strategies that optimize statistical efficiency and quality. Requirements: Bachelors degree in Computer Science, or a related field. Proven experience as a Data Analyst or similar role. Good exposure to prompt engineering and building POCs that are LLM-wrapped. Proficiency in data analysis tools and software such as SQL, R, Python, Excel, etc. Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy Excellent communication and presentation skills. Ability to work independently and as part of a team. Preferred Qualifications: Experience in the voice analytics domain. Familiarity with machine learning and predictive modelling techniques.

At OP, we are a people-first, high-touch organization committed to delivering cutting-edge AI solutions with integrity and passion. We are looking for a Senior AI Developer with expertise in AI model development, Python, AWS, and scalable tool-building. In this role, you will be responsible for designing and implementing AI-driven solutions, developing AI-powered tools and frameworks, and integrating them into enterprise environments, including mainframe systems. As a Senior AI Developer at OP, your key responsibilities will include developing and deploying AI models using Python and AWS for enterprise applications, building scalable AI-powered tools, designing and optimizing machine learning pipelines, implementing NLP and GenAI models, developing and integrating RAG systems for enterprise knowledge retrieval, maintaining AI frameworks and APIs, architecting cloud-based AI solutions using AWS services, writing high-performance Python code for AI applications, and ensuring scalability, security, and performance of AI solutions in production. The required qualifications for this role include 5+ years of experience in AI/ML development with expertise in Python and AWS, a strong background in machine learning and deep learning, experience in LLMs, NLP, and RAG systems, hands-on experience in building and deploying AI models in production, proficiency in cloud-based AI solutions, experience in developing AI-powered tools and frameworks, knowledge of mainframe integration and enterprise AI applications, and strong coding skills with a focus on software development best practices. Preferred qualifications for this role include familiarity with MLOps, CI/CD pipelines, and model monitoring, a background in developing AI-based enterprise tools and automation, and experience with vector databases and AI-powered search technologies. At OP, we offer health insurance, accident insurance, and competitive salaries based on various factors including location, education, qualifications, experience, technical skills, and business needs. In addition to the core responsibilities, you will also be expected to participate in OP monthly team meetings, contribute to technical discussions, peer reviews, and collaborate via the OP-Wiki/Knowledge Base, as well as provide status reports to OP Account Management as requested. OP is a technology consulting and solutions company that offers advisory and managed services, innovative platforms, and staffing solutions across various fields, including AI, cyber security, and enterprise architecture. Our team consists of dynamic, creative thinkers who are passionate about quality work, and as a member of the OP team, you will have access to industry-leading consulting practices, strategies, technologies, training, and education. An ideal OP team member is a technology leader with a proven track record of technical excellence and a strong focus on process and methodology.,

Were Hiring | Python Developer – Generative AI Location: Pune/Hyderabad Experience: 4–5 Years Join Us at the Cutting Edge of AI Innovation! Are you passionate about building products powered by Generative AI and LLMs? Do you enjoy working with cutting-edge tools like OpenAI, LangChain, and vector databases to bring AI ideas to life? We’re looking for a Python Developer (GenAI) who is ready to innovate, collaborate, and help us scale real-world AI solutions from prototype to production. Key Responsibilities: • Build scalable Python applications leveraging LLMs, prompt engineering, and RAG pipelines • Develop REST APIs using FastAPI/Flask for GenAI applications • Collaborate across teams to deploy LLM-powered tools (chatbots, assistants, summarizers) • Work with frameworks like LangChain, Hugging Face, and vector DBs like Pinecone, FAISS • Write clean, modular code with performance optimization in mind Skills We’re Looking For: • 4–5 years in Python development • Proven experience building LLM-based applications • Familiarity with OpenAI, Anthropic, Hugging Face, LangChain • Strong knowledge of REST APIs, microservices, and prompt engineering • Exposure to Git, CI/CD workflows, and agile environments Nice-to-Have: • Cloud exposure (AWS, Azure, GCP) • Experience with Docker/Kubernetes • Understanding of RAG pipelines, semantic search, or fine-tuning models Interested or know someone who fits? Drop your resume or referrals in the comments or send us a message! Thanks Dan - Dan@therxcloud.com

We are seeking a Senior Python Backend Developer to join our team and take charge of building REST APIs and serverless functions in Azure using Python. As a Senior Python Backend Developer, your main responsibility will be developing high-performance and responsive REST APIs to cater to front-end requests. It will be essential for you to collaborate with team members working on various layers of the application and integrate front-end elements provided by co-workers. Therefore, having a basic understanding of front-end technologies is crucial for this role. Your duties will include delivering top-quality working software independently, writing secure and efficient code, and designing low-latency, high-availability applications. You will also be tasked with integrating user-facing elements developed by front-end developers, implementing security measures, and ensuring data protection. Additionally, your role will involve working with various Azure services like Azure Functions, APIM, Azure storage, SQL, and NoSQL databases, as well as writing automated tests and integrating with Azure APIM, Tracing, and Monitoring services. To excel in this role, you should have experience in building Azure Functions with Python, be proficient in Python with knowledge of at least one Python web framework, and have familiarity with ORM libraries. You should also be capable of integrating multiple data sources and databases into a cohesive system, possess a basic understanding of front-end technologies like JavaScript, HTML5, and CSS3, and have experience with OAuth2/OIDC for securing the backend using Azure AD B2C. Additionally, expertise in Azure services such as Key Vaults, Cost Management, Budgets, Application Insights, Azure Monitor, VNet, etc., fundamental design principles for scalable applications, database schema creation, unit testing, debugging, Git, Postman, Swagger/OpenAPI, Gen-AI, Langchain, Vectorization, LLMs, NoSQL databases like MongoDB, REST APIs, Microservices, and Azure DevOps for CI/CD will be beneficial for this role. If you are passionate about backend development, have a knack for problem-solving collaboratively, and are committed to delivering high-quality software, we invite you to apply for this exciting opportunity to contribute to our team. (Note: This job description is sourced from hirist.tech),