21 Anthropic Jobs

DecisionX is pioneering a new category with the world's first Decision AI, an AI Super-Agent that assists high-growth teams in making smarter, faster decisions by transforming fragmented data into clear next steps. Whether it involves strategic decisions in the boardroom or operational decisions across various departments like Sales, Marketing, Product, and Engineering, down to the minutiae that drives daily operations, Decision AI serves as your invisible co-pilot, thinking alongside you, acting ahead of you, and evolving beyond you. We are seeking a dedicated and hands-on AI Engineer to join our Founding team. In this role, you will collaborate closely with leading AI experts to develop the intelligence layer of our exclusive "Agentic Number System." Key Responsibilities - Building, fine-tuning, and deploying AI/ML models for tasks such as segmentation, scoring, recommendation, and orchestration. - Developing and optimizing agent workflows using LLMs (OpenAI, Claude, Mistral, etc.) for contextual reasoning and task execution. - Creating vector-based memory systems utilizing tools like FAISS, Chroma, or Weaviate. - Working with APIs and connectors to incorporate third-party data sources (e.g., Salesforce, HubSpot, GSuite, Snowflake). - Designing pipelines that transform structured and unstructured signals into actionable insights. - Collaborating with GTM and product teams to define practical AI agent use cases. - Staying informed about the latest developments in LLMs, retrieval-augmented generation (RAG), and agent orchestration frameworks (e.g., CrewAI, AutoGen, LangGraph). Must Have Skills - 5-8 years of experience in AI/ML engineering or applied data science. - Proficient programming skills in Python, with expertise in LangChain, Pandas, NumPy, and Scikit-learn. - Experience with LLMs (OpenAI, Anthropic, etc.), prompt engineering, and RAG pipelines. - Familiarity with vector stores, embeddings, and semantic search. - Expertise in data wrangling, feature engineering, and model deployment. - Knowledge of MLOps tools such as MLflow, Weights & Biases, or equivalent. What you will get - Opportunity to shape the AI architecture of a high-ambition startup. - Close collaboration with a visionary founder and experienced product team. - Ownership, autonomy, and the thrill of building something from 0 to 1. - Early team equity and a fast growth trajectory.,

As a talented software developer at our company, you will have the opportunity to showcase your passion for coding and product building. Your problem-solving mindset and love for taking on new challenges will make you a valuable addition to our rockstar engineering team. You will be responsible for designing and developing robust, scalable, and secure backend architectures using Django. Your focus will be on backend development to ensure the smooth functioning of web applications and systems. Creating high-quality RESTful APIs to facilitate seamless communication between frontend, backend, and other services will also be a key part of your role. In addition, you will play a crucial role in designing, implementing, and maintaining database schemas to ensure data integrity, performance, and security. You will work on ensuring the scalability and reliability of our backend infrastructure on AWS, aiming for zero downtime of systems. Writing clean, maintainable, and efficient code while following industry standards and best practices will be essential. Collaboration is key in our team, and you will conduct code reviews, provide feedback to team members, and work closely with frontend developers, product managers, and designers to plan and optimize features. You will break down high-level business problems into smaller components and build efficient systems to address them. Staying updated with the latest technologies such as LLM frameworks and implementing them as needed will be part of your continuous learning process. Your skills in Python, Django, SQL/PostgreSQL databases, and AWS services will be put to good use as you optimize systems, identify bottlenecks, and resolve them to enhance efficiency. To qualify for this role, you should have a Bachelor's degree in Computer Science or a related field, along with at least 2 years of experience in full-stack web development with a focus on backend development. Proficiency in Python, Django, and experience with Django Rest Framework are required. Strong problem-solving skills, excellent communication, and collaboration abilities are also essential for success in this position.,

As a Data Analytics focused Senior Software Engineer at PubMatic, you will be responsible for developing advanced AI agents to enhance data analytics capabilities. Your expertise in building and optimizing AI agents, along with strong skills in Hadoop, Spark, Scala, Kafka, Spark Streaming, and cloud-based solutions, will play a crucial role in improving data-driven insights and analytical workflows. Your key responsibilities will include building and implementing a highly scalable big data platform to process terabytes of data, developing backend services using Java, REST APIs, JDBC, and AWS, and building and maintaining Big Data pipelines using technologies like Spark, Hadoop, Kafka, and Snowflake. Additionally, you will design and implement real-time data processing workflows, develop GenAI-powered agents for analytics and data enrichment, and integrate LLMs into existing services for query understanding and decision support. You will work closely with cross-functional teams to enhance the availability and scalability of large data platforms and PubMatic software functionality. Participating in Agile/Scrum processes, discussing software features with product managers, and providing customer support over email or JIRA will also be part of your role. We are looking for candidates with three plus years of coding experience in Java and backend development, solid computer science fundamentals, expertise in developing software engineering best practices, hands-on experience with Big Data tools, and proven expertise in building GenAI applications. The ability to lead feature development, debug distributed systems, and learn new technologies quickly are essential. Strong interpersonal and communication skills, including technical communications, are highly valued. To qualify for this role, you should have a bachelor's degree in engineering (CS/IT) or an equivalent degree from well-known Institutes/Universities. PubMatic employees globally have returned to our offices via a hybrid work schedule to maximize collaboration, innovation, and productivity. Our benefits package includes paternity/maternity leave, healthcare insurance, broadband reimbursement, and office perks like healthy snacks, drinks, and catered lunches. About PubMatic: PubMatic is a leading digital advertising platform that provides transparent advertising solutions to publishers, media buyers, commerce companies, and data owners. Our vision is to enable content creators to run a profitable advertising business and invest back into the multi-screen and multi-format content that consumers demand.,

The position of Gen AI / AI Engineer (Mid-Level) in Hyderabad requires a candidate with at least 2 years of experience in developing and deploying AI/ML solutions, focusing particularly on Generative AI and RAG (Retrieval-Augmented Generation) architectures. As an AI Engineer, you will be involved in working with cutting-edge models, fine-tuning, and integrating systems to create scalable AI products. Your responsibilities will include fine-tuning and optimizing Large Language Models (LLMs) and generative models for both text and image data. You will also be responsible for designing and implementing RAG pipelines that incorporate knowledge bases, developing APIs, microservices, and scalable AI pipelines, collaborating with MLOps teams for production deployment, and staying updated on the latest AI trends to apply innovative techniques effectively. The ideal candidate should possess expertise in Python programming language, PyTorch or TensorFlow frameworks, Generative AI tools such as OpenAI, Anthropic, LLaMA, RAG architecture, Natural Language Processing (NLP), Computer Vision, API development, MLOps practices, and experience working with Cloud Platforms like AWS, Azure, or GCP. Qualifications for this role include a Bachelor's degree in Computer Science or a related field, a minimum of 2 years of experience in AI/ML with a focus on GenAI and RAG, and hands-on experience in deploying models at a production level. If you are enthusiastic about contributing to the development of next-generation AI solutions, we encourage you to apply for this exciting opportunity.,

As a Full Stack-Backend Engineer at an AI startup based in Abu Dhabi, you will be an integral part of a fast-scaling company with a strong revenue stream, developer traction, and global growth. Your primary responsibility will be to contribute to the development of the next-generation agent by building scalable APIs and services for agent-based applications. You will have the opportunity to lead engineering efforts in the region from Day One. Your key responsibilities will include developing RAG pipelines using LangChain or custom tools, working with distributed systems and databases, and optionally contributing to UI development with React. You will be expected to own features end-to-end and collaborate effectively with global teams. To excel in this role, you should possess strong Python skills or a similar backend language, with an experience range of 6-8 years. Experience with distributed systems, APIs, and databases is essential, along with familiarity with LLMs, RAG, and agent frameworks. Frontend experience with React is a bonus, but not mandatory. An independent and ownership-driven mindset will be crucial for success in this position. The tech environment you will be working in includes Backend technologies such as Python and FastAPI, infrastructure tools like AWS, Docker, and Kubernetes, and AI Stack components like LangChain, Pinecone/Weaviate, OpenAI, and Anthropic. DevOps practices involve GitHub Actions and CI/CD pipelines, with a focus on developer tools, AI agents, and real-time search APIs. Joining this role will allow you to work with a well-funded startup that is making a real-world impact with over $3M+ ARR, 200K+ users, and 5M+ downloads. You will have the opportunity to build solutions across AI, search, and distributed infrastructure, lead development strategies within a global team, and be part of the thriving tech and innovation ecosystem in Abu Dhabi.,

What Were Looking For PM at a Consumer Startup (Pre-Series C) Youve built from scratch. Worked in lean teams. And you are a builder at heart. Launched & Scaled Something Real Youve taken something from v1 to real scaleDAUs, downloads, paid users. Your resume shows outcomes, not fluff. Growth DNA Youve worked on GTM, SEO, CRO, onboarding, referrals, or pricing. Youve shipped experiments and scaled what worked. Hands-On AI Application Youve integrated LLMs via APIs into actual products. Not prompt engineering, not AI curious. Youve built and shipped. Tools like OpenAI, Anthropic, LangChain, etc. Strong with Data You understand that insights are everything . You dont wait for dashboardsyou go hunting for truth in the numbers. Why Leap Work directly on 0-to-1s in a fast-growing, profitable company High ownership, fast decisions, no red tape A real shot at building products that scale to millions Work with founders and a high-velocity team that deeply cares Be at the front of building AI-native consumer experiences This is not a traditional PM job.

You are seeking a hands-on backend expert to elevate your FastAPI-based platform to the next level by developing production-grade model-inference services, agentic AI workflows, and seamless integration with third-party LLMs and NLP tooling. In this role, you will be responsible for various key areas: 1. Core Backend Enhancements: - Building APIs - Strengthening security with OAuth2/JWT, rate-limiting, SecretManager, and enhancing observability through structured logging and tracing - Adding CI/CD, test automation, health checks, and SLO dashboards 2. Awesome UI Interfaces: - Developing UI interfaces using React.js/Next.js, Redact/Context, and various CSS frameworks like Tailwind, MUI, Custom-CSS, and Shadcn 3. LLM & Agentic Services: - Designing micro/mini-services to host and route to platforms such as OpenAI, Anthropic, local HF models, embeddings & RAG pipelines - Implementing autonomous/recursive agents that orchestrate multi-step chains for Tools, Memory, and Planning 4. Model-Inference Infrastructure: - Setting up GPU/CPU inference servers behind an API gateway - Optimizing throughput with techniques like batching, streaming, quantization, and caching using tools like Redis and pgvector 5. NLP & Data Services: - Managing the NLP stack with Transformers for classification, extraction, and embedding generation - Building data pipelines to combine aggregated business metrics with model telemetry for analytics You will be working with a tech stack that includes Python, FastAPI, Starlette, Pydantic, Async SQLAlchemy, Postgres, Docker, Kubernetes, AWS/GCP, Redis, RabbitMQ, Celery, Prometheus, Grafana, OpenTelemetry, and more. Experience in building production Python REST APIs, SQL schema design in Postgres, async patterns & concurrency, UI application development, RAG, LLM/embedding workflows, cloud container orchestration, and CI/CD pipelines is essential for this role. Additionally, experience with streaming protocols, NGINX Ingress, SaaS security hardening, data privacy, event-sourced data models, and other related technologies would be advantageous. This role offers the opportunity to work on evolving products, tackle real challenges, and lead the scaling of AI services while working closely with the founder to shape the future of the platform. If you are looking for meaningful ownership and the chance to solve forward-looking problems, this role could be the right fit for you.,

The company is seeking a Gen AI / AI Engineer with at least 2 years of experience in the field of AI/ML solutions, specifically focusing on Generative AI and RAG (Retrieval-Augmented Generation) architectures. The role involves working on cutting-edge models, fine-tuning, and integrating systems to develop scalable AI products. Responsibilities include fine-tuning and optimizing Large Language Models (LLMs) and generative models for text and image, designing and implementing RAG pipelines with knowledge bases, developing APIs, microservices, and scalable AI pipelines, collaborating with MLOps teams for production deployment, and staying updated on the latest AI trends to apply innovative techniques. The ideal candidate should possess skills in Python, PyTorch/TensorFlow, Generative AI (OpenAI, Anthropic, LLaMA), RAG architecture, Natural Language Processing (NLP), Computer Vision, API development, MLOps, and have experience working with Cloud Platforms such as AWS/Azure/GCP. Qualifications include a Bachelors degree in Computer Science or a related field, at least 2 years of experience in AI/ML with a focus on GenAI & RAG, and hands-on experience with production-grade model deployment. If you are enthusiastic about contributing to the development of next-generation AI solutions, we encourage you to apply for this exciting opportunity now!,

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

Hiring AI Engineers | Multiple Roles | Hybrid/ WFH | Immediate| Apply Today Watch JD for more details: https://youtu.be/-YzVGtZ01SQ Unlock Your Future with Expert Recruitment! Explore Active Open Roles: Job's Portfolio : www.youtube.com/@vikranthodage7217

You will work closely with data scientists, product teams, and developers to fine-tune LLM behavior for diverse applications including chatbots, code generation, creative writing, and data extraction.

Role Overview :- Monitor, evaluate, and optimize AI/LLM workflows in production environments. Ensure reliable, efficient, and high-quality AI system performance by building out an LLM Ops platform that is self-serve for the engineering and data science departments. Key Responsibilities:- Collaborate with data scientists and software engineers to integrate an LLM Ops platform (Opik by CometML) for existing AI workflows Identify valuable performance metrics (accuracy, quality, etc) for AI workflows and create on-going sampling evaluation processes using the LLM Ops platform that alert when metrics drop below thresholds Cross-team collaboration to create datasets and benchmarks for new AI workflows Run experiments on datasets and optimize performance via model changes and prompt adjustments Debug and troubleshoot AI workflow issues Optimize inference costs and latency while maintaining accuracy and quality Develop automations for LLM Ops platform integration to empower data scientists and software engineers to self-serve integration with the AI workflows they build Requirements:- Strong Python programming skills Experience with generative AI models and tools (OpenAI, Anthropic, Bedrock, etc) Knowledge of fundamental statistical concepts and tools in data science such as: heuristic and non-heuristic measurements in NLP (BLEU, WER, sentiment analysis, LLM-as-judge, etc), standard deviation, sampling rate, and a high level understanding of how modern AI models work (knowledge cutoffs, context windows, temperature, etc) Familiarity with AWS Understanding of prompt engineering concepts People skills: you will be expected to frequently collaborate with other teams to help to perfect their AI workflows Experience Level 3-5 years of experience in LLM/AI Ops, MLOps, Data Science, or MLE

Key Responsibilities: Fine-tune and deploy LLMs (e.g., GPT, LLaMA, Mistral) using frameworks like Hugging Face Transformers and LangChain. Build and optimize RAG pipelines with vector databases (e.g., Pinecone, FAISS, Weaviate). Engineer prompts for structured and reliable outputs across diverse use cases such as chatbots, summarization tools, and coding assistants. Implement scalable inference pipelines; optimize for latency, throughput, and cost using quantization, distillation, and other model optimization techniques. Collaborate with product, design, and engineering teams to integrate generative AI capabilities into user-facing features. Monitor and improve model performance, accuracy, safety, and compliance in production. Ensure responsible AI practices through content filtering, output sanitization, and ethical deployment. Required Skills: Proficiency in Python and familiarity with modern machine learning tools and libraries. Hands-on experience with LLM development using Hugging Face Transformers, LangChain, or LlamaIndex. Experience building and deploying RAG pipelines, including managing embeddings and vector search. Strong understanding of transformer architectures, tokenization, and prompt engineering techniques. Comfortable working with LLM APIs (e.g., OpenAI, Anthropic, Cohere) and serving models with FastAPI, Flask, or similar frameworks. Familiarity with deploying ML systems using Docker, Kubernetes, and cloud services (AWS, GCP, Azure). Experience with model evaluation, logging, and inference pipeline troubleshooting. Nice to Have: Exposure to multimodal models (e.g., text-to-image, video generation, TTS). Experience with reinforcement learning from human feedback (RLHF) or alignment techniques. Familiarity with open-source LLMs (e.g., Mistral, Mixtral, LLaMA, Falcon) and optimization tools (LoRA, quantization, PEFT). Knowledge of LangChain agents, tool integration, and memory management. Contributions to open-source GenAI projects, public demos, or blogs in the generative AI space. Basic proficiency in frontend development (e.g., React, Next.js) for rapid prototyping.

Key Responsibilities: Fine-tune and deploy LLMs (e.g., GPT, LLaMA, Mistral) using frameworks like Hugging Face Transformers and LangChain. Build and optimize RAG pipelines with vector databases (e.g., Pinecone, FAISS, Weaviate). Engineer prompts for structured and reliable outputs across diverse use cases such as chatbots, summarization tools, and coding assistants. Implement scalable inference pipelines; optimize for latency, throughput, and cost using quantization, distillation, and other model optimization techniques. Collaborate with product, design, and engineering teams to integrate generative AI capabilities into user-facing features. Monitor and improve model performance, accuracy, safety, and compliance in production. Ensure responsible AI practices through content filtering, output sanitization, and ethical deployment. Required Skills: Proficiency in Python and familiarity with modern machine learning tools and libraries. Hands-on experience with LLM development using Hugging Face Transformers, LangChain, or LlamaIndex. Experience building and deploying RAG pipelines, including managing embeddings and vector search. Strong understanding of transformer architectures, tokenization, and prompt engineering techniques. Comfortable working with LLM APIs (e.g., OpenAI, Anthropic, Cohere) and serving models with FastAPI, Flask, or similar frameworks. Familiarity with deploying ML systems using Docker, Kubernetes, and cloud services (AWS, GCP, Azure). Experience with model evaluation, logging, and inference pipeline troubleshooting. Nice to Have: Exposure to multimodal models (e.g., text-to-image, video generation, TTS). Experience with reinforcement learning from human feedback (RLHF) or alignment techniques. Familiarity with open-source LLMs (e.g., Mistral, Mixtral, LLaMA, Falcon) and optimization tools (LoRA, quantization, PEFT). Knowledge of LangChain agents, tool integration, and memory management. Contributions to open-source GenAI projects, public demos, or blogs in the generative AI space. Basic proficiency in frontend development (e.g., React, Next.js) for rapid prototyping.

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

AI Engineer About the Role We are looking for an AI Engineer with the ability to transform proven AI and GenAI concepts and prototypes developed by data scientists into scalable, and production-grade AI applications. This position sits at the critical intersection of software development and data science, requiring both technical depth in AI/ML technologies and strong software engineering fundamentals. Key Responsibilities Transform data science prototypes and concepts into production-ready applications with a focus on scalability, stability, and performance Design and implement robust AI systems leveraging modern LLM technologies, including API integrations, Retrieval Augmented Generation (RAG), and embedding models Develop and maintain backend services and APIs that support AI functionality Implement efficient data pipelines and storage solutions for AI applications Implement comprehensive testing and monitoring for AI systems Required Qualifications Bachelor's degree in computer science, Software Engineering, or related technical field 3+ years of experience in software development with a focus on backend systems Strong proficiency in Python and its ecosystem for AI/ML development Experience with LLM technologies, including API integrations (OpenAI, Anthropic, etc.) Knowledge of RAG architectures, vector databases, and embedding models Clear understanding of software design patterns and principles Experience with Docker Understanding of CI/CD pipelines and DevOps practices Preferred Qualifications Masters degree in computer science, AI, or related field Experience with cloud platforms (AWS, Azure or GCP) Knowledge of AI agent frameworks and orchestration Experience with function calling, tool integration, and AI system planning Experience with monitoring and observability tools for AI systems Contributions to open-source AI/ML projects Experience with model optimization and deployment strategies Skills & Competencies Strong problem-solving abilities and analytical thinking Excellent communication skills to collaborate with both technical and non-technical stakeholders Ability to balance technical debt and delivery timelines Attention to detail, particularly regarding system reliability and security Passion for staying current with rapidly evolving AI technologies Top three skills looking in profiles: Proficiency in Python for AI/ML Development Strong command of Python and its ecosystem is essential for building and scaling AI applications. Experience with LLM Technologies and Architectures Includes API integrations (e.g., OpenAI, Anthropic), Retrieval Augmented Generation (RAG), vector databases, and embedding models. Backend Development and API Engineering Ability to develop and maintain backend services and APIs that support AI functionality. Role & responsibilities Preferred candidate profile

Roles and Responsibilities Design and develop data science solutions using Python. Experience in machine learning and deep learning frameworks (PyTorch, TensorFlow) Develop machine learning models using TensorFlow or PyTorch and deploy them on Kubernetes, MLflow, and KServe clusters. Familiarity with machine learning deployment and MLOps tools Experience working with model repositories and fine-tuning frameworks like Hugging Face. Experience with frameworks like LangGraph/LangChain. 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.

Job Title: ML Prompt Engineer Location - Bangalore Hybrid . Job Description: Principle Developer - ML/Prompt Engineer Technologies: Amazon Bedrock, RAG Models, Java, Python, C or C++, AWS Lambda Responsibilities: Responsible for developing, deploying, and maintaining a Retrieval Augmented Generation (RAG) model in Amazon Bedrock, our cloud-based platform for building and scaling generative AI applications. Design and implement a RAG model that can generate natural language responses, commands, and actions based on user queries and context, using the Anthropic Claude model as the backbone. Integrate the RAG model with Amazon Bedrock, our platform that offers a choice of high-performing foundation models from leading AI companies and Amazon via a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI. Optimize the RAG model for performance, scalability, and reliability, using best practices and robust engineering methodologies. Design, test, and optimize prompts to improve performance, accuracy, and alignment of large language models across diverse use cases. Develop and maintain reusable prompt templates, chains, and libraries to support scalable and consistent GenAI applications. Skills/Qualifications: Experience in programming with at least one software language, such as Java, Python, or C/C++. Experience in working with generative AI tools, models, and frameworks, such as Anthropic, OpenAI, Hugging Face, TensorFlow, PyTorch, or Jupyter. Experience in working with RAG models or similar architectures, such as RAG, Ragna, or Pinecone. Experience in working with Amazon Bedrock or similar platforms, such as AWS Lambda, Amazon SageMaker, or Amazon Comprehend. Ability to design, iterate, and optimize prompts for various LLM use cases (e.g., summarization, classification, translation, Q&A, and agent workflows). Deep understanding of prompt engineering techniques (zero-shot, few-shot, chain-of-thought, etc.) and their effect on model behavior. Familiarity with prompt evaluation strategies, including manual review, automatic metrics, and A/B testing frameworks. Experience building prompt libraries, reusable templates, and structured prompt workflows for scalable GenAI applications. Ability to debug and refine prompts to improve accuracy, safety, and alignment with business objectives. Awareness of prompt injection risks and experience implementing mitigation strategies. Familiarity with prompt tuning, parameter-efficient fine-tuning (PEFT), and prompt chaining methods. Familiarity with continuous deployment and DevOps tools preferred. Experience with Git preferred Experience working in agile/scrum environments Successful track record interfacing and communicating effectively across cross-functional teams. Good communication, analytical and presentation skills, problem-solving skills and learning attitude

Way of working - Work from office (5 days a week) Job Title: Software Development Engineer III Location: Bangalore Tenure: 5 to 7 years Position Overview: As an SDE III at Swiggy, you will play a pivotal role in designing and architecting intelligent systems with a strong emphasis on Agentic AI and multi-agent frameworks. You will contribute to the development of cutting-edge Conversational AI platforms using technologies like Langchain, Langraph, and LLMs from providers such as OpenAI, Anthropic (Claude), Bedrock, Azure, and others. Your responsibilities include owning end-to-end architecture for your team's systems, co-driving the team's technical vision, and transforming product requirements into scalable, production-grade AI solutions. Collaboration with cross-functional product and business teams will be essential to translate product features into intelligent, agent-driven designs and drive the delivery of high-impact applications. What qualities are we looking for . B Tech/M Tech in Computer Science or equivalent from a reputed college with minimum 5+ years of Experience in Product Development Company . Experience working with AI agents, including multi-agent architectures. . Familiarity with agentic AI systems and conversational AI platforms. . Practical knowledge of LLMs (Large Language Models), including integration with providers like OpenAI, Anthropic (Claude), Bedrock, Falsh, and Azure OpenAI. . Strong design skills involving data modeling and low level class design . Good knowledge of object oriented programming and design pa erns . Proficiency in at least one programming language - Python, Java, Golang . Follow industry coding standards and responsible for writing maintainable/scalable/efficient code to solve business problems . Hands-on experience of working with Databases and Linux/Unix platform . Hands-on experience with Langchain or LangGraph for building AI-driven workflows and orchestration. . Strong technical aptitude and good knowledge of CS fundamentals . What will you get to do here . Coming up with best practices to help the team achieve their technical tasks and continually thrive in improving the technology of the product/team. . Driving the adoption of best practices & regular Participation in code reviews, design reviews, architecture discussions. . Experiment with new & relevant technologies and tools, and drive adoption while measuring yourself on the impact you can create . Implementation of long term technology vision for your team. . Creating architectures & designs for new solutions around existing/new areas . Decide technology & tool choices for your team & be responsible for them. Visit our tech blogs to learn more about some of the challenging Problem Statements the team works at:- . https://bytes.swiggy.com/engineering-challenges-at-swiggy-430dea6c86a3 . https://bytes.swiggy.com/the-swiggy-delivery-challenge-part-one-6a2abb4f82f6 . https://bytes.swiggy.com/what-serviceability-means-at-swiggy-c94c1aad352a . https://bytes.swiggy.com/architecture-and-design-principles-behind-the-swiggys-delivery-partner s-app-4db1d87a048a . https://bytes.swiggy.com/swiggy-distance-service-9868dcf613f4 . https://bytes.swiggy.com/the-tech-that-brings-you-your-food-1a7926229886 We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, disability status, or any other characteristic protected by the law.

The GN Song C&S Senior Manager, Lifesciences Join our team of Strategy & Consulting Global Network Song who solve customer facing challenges at clients spanning Sales, Service and Marketing to accelerate business change. Practice:Strategy & Consulting Global Network Song I Areas of Work:Life science industry, Commerce & Sales, Platform Enablement viz. Veeva CRM, Salesforce Health Cloud, etc. | Level:Senior Manager | Location:Bengaluru, Gurgaon, Mumbai, Chennai, Kolkata Hyderabad | Years of Exp:12+ years Are you passionate about scaling businesses using in-depth Customer Sales and Strategy techniques? Do you want to design, build and implement strategies to enhance business performance? Does working in an inclusive and collaborative environment spark your interest? Then, this is the right place for you! Welcome to a host of exciting global opportunities in Accenture GN Song team. The Practice A Brief Sketch The Global Network Song functional team is aligned to the S&C- Global Network division of Accenture and works with clients across its marketing, sales and services department. As part of the team, you will provide transformation services across key offerings like Marketing Transformation, Commerce & Sales and Advanced Customer Engagement. These services help our clients become living businesses by optimizing their marketing and sales strategies and thereby optimizing their cost to serve, thus improving revenue per customer. The Life Sciences & Healthcare Senior Manager position is within the Commerce & Sales practice of Accenture GN Song. The individual would work at the heart of the top global Life Sciences (Pharmaceuticals, Biotechnology and Medical Technology) organizations and would collaborate on innovative projects while bringing in deep industry knowledge to enhance Patient and HCP and consumer experience. You will work closely with our clients as Consulting Professionals who design, build and implement strategies that can help enhance business performance. As part of leading the project teams, you will drive the following:Consulting & Advisory service Lead a team responsible for designing, developing and implementing plans on Sales Transformation solutions across scope of sales strategy and sales operations, sales operating model design, channel strategy and design, HCP partner management, MR Portal Enablement, Consumer Engagement, Route-to-Market (RTM) Strategy, Optimization & implementation, sales force effectiveness, Territory Alignment, business process optimization, incentive compensation management including diagnostics and business case development. Work as an integral part of the client's sales / channel development organization. Work towards driving sales and revenue numbers with a structured, logical and dataoriented approach, conducting Market Opportunity Assessment. Work on diagnostics on client data and processes to understand gaps, in the current state processes to help improve client processes as part of future state recommendations Additional Engagement Opportunities Include:Market entry strategy development, Product launch strategy, Economics of Selling, Optimizing Return on Sales/ Channel Spends, Channel mix assessment and strategy, Sales channel optimization, Process Assessment & Improvisation, Sales Data Analysis, Marketing Planning, Assessment & Sales Enhancement Strategy, GenAI use cases specific to LS in sales and marketing. Sales & Business Development Generating new business engagements:Drive new business opportunities by identifying and pursuing new leads, defining GTM strategy, facilitate client discussions and presentations to drive new business and client relationships. Own and drive Sales transformation RFP/ RFI response coming in from Life Science customers for business transformation or platform enablement projects Practice Development Take on leadership role:Support overall growth of practice area through a combination of business development, talent management, oversight of delivery work, and thought leadership. Collaborate with Salesforce, Veeva, MS Dynamics, etc. business groups, to enable business capabilities with agility, velocity, and quality while optimizing costs. Lead and motivate teams with diverse skills and backgrounds. Manage and mentor talented teams of consultants and technologists supporting, providing input and guidance into the talent strategy and actively participate in engagement, capability development activities. Bring your best skills forward to excel at the role: Strong consulting and advisory experience in Life Sciences industry with deep industry knowledge and understanding of key trends. Deep understanding of Life Science processes, performance drivers & industry leading practices, regulatory and compliance requirements Experience in working as an advisory lead in designing next gen sales transformation solution on digital technologies like Veeva CRM and Salesforce Health Cloud, Data automation and AI tools. Adept with working knowledge of Gen AI based technologies and tools such as ChatGPT, Gemini, DallE, Midjourney, Anthropic, Amazon Bedrock, LLama etc. Capable of using GenAI within applications such as Salesforce, Adobe and MS Dynamics. Implementation experience of Gen AI will be an added advantage. Seasoned professional with significant experience working on a large-scale Business / Operational Transformation project with a significant focus on B2B/ enterprise clients. Strong program management/ people management skills Experience working with "C" level executives Can work in high-paced and complex projects and understand industry-specific sales processes, operations and functional needs Skills to manage stakeholder expectations Ability to work on business proposals from solutioning and effort estimation standpoint and to demonstrate solutions during client orals Excellent communications and presentation skills Performance and status reporting Problem solving and conflict management Ability to work effectively in a remote, virtual and global environment Qualifications Your experience counts! MBA from a premium institute A minimum of 12 15 years of progressive industry and consulting experience with minimum 8+ years of relevant experience in Life Science industry Global exposure is desirable. Working knowledge of Veeva CRM or Salesforce Health cloud and AI tools. Implementation experience is highly desirable. Experience in scoping and aid in designing platform solutions, and extensive experience in implementing it in projects. Demonstrated sustained client relations management experience at a C-suite level or operated at a senior management level in the industry role. Good To Have - Certification in Veeva CRM and/or Salesforce Health Cloud or any other relevant industry leading platform tools. Travel may be required for this role. The amount of travel will vary from 25% to 100% depending on business need and client requirements

Job Title: Technology AI Engineer Location: Gurugram (Onsite) Experience: 2+ Years Budget: Open Job Overview: We are looking for a highly skilled Technology AI Engineer who is proficient in both front-end and back-end development. The ideal candidate should have hands-on experience working with Large Language Models (LLMs), AI architecture, data structures, and AI prompt engineering . The role requires expertise in building APIs , working with OpenAI, Llama, and Anthropic models , and creating scalable AI-powered applications. Key Responsibilities: Develop and optimize AI-based applications leveraging LLMs. Design and implement scalable AI architectures and data structures to support AI functionalities. Build and manage AI-driven APIs for back-end integration. Work with OpenAI, Llama, and Anthropic models to develop AI solutions. Collaborate with data scientists and AI researchers to fine-tune and deploy models. Develop secure and efficient backend services using modern frameworks. Implement front-end components to integrate AI capabilities into user interfaces. Monitor and improve the performance of AI-driven applications. Required Skills & Qualifications: 2+ years of experience in Full Stack Development (Frontend & Backend) Strong experience in AI Model Integration (OpenAI, Llama, Anthropic) Solid understanding of AI architecture and data structure development Expertise in API Development and AI-driven applications Proficiency in Python, JavaScript, or similar technologies Hands-on experience with cloud platforms (AWS, GCP, or Azure) Experience with Vector Databases and Retrieval-Augmented Generation (RAG) is a plus Strong problem-solving skills and ability to optimize AI workflows