449 Autogen Jobs - Page 3

Role Overview: As an experienced AI/ML Engineer with a strong background in Machine Learning and Artificial Intelligence, you will be responsible for working on Generative AI projects. Your expertise in Python, LLM Models, and emerging techniques like Retrieval-Augmented Generation (RAG) will be crucial for designing, developing, and deploying AI/ML solutions. Key Responsibilities: - Design, develop, and deploy AI/ML solutions focusing on generative models and LLMs. - Implement and optimize RAG pipelines for knowledge-aware AI systems. - Fine-tune and customize models for specific domains. - Build and manage agentic AI systems capable of autonomous planning and decision-making. - Collaborate...

You will be responsible for designing, developing, and deploying AI agents powered by LLMs such as GPT-4 Claude and Gemini. Your role will involve integrating AI agents with various tools, APIs, databases, and automation frameworks. You will be required to develop reusable prompt chains and workflows for common tasks and decision-making processes. Additionally, you will utilize frameworks like LangChain, AutoGen, CrewAI, or Semantic Kernel to manage multi-agent architectures. Your tasks will also include fine-tuning or instructing LLMs for specific use-cases or industry applications, as well as optimizing performance, reliability, and cost-efficiency of AI workflows. Collaboration with data ...

As an AI Agent Developer for our company, your role will involve building intelligent agents powered by advanced language models (LLMs) such as GPT and utilizing automation tools like n8n, Loveable, LangChain, Supabase, and external APIs. If you are passionate about AI workflows, prompt engineering, autonomous agents, and real-world use cases, then this position is an ideal fit for you. **Key Responsibilities:** - Building and deploying AI agents that leverage LLMs for autonomous decision-making. - Integrating APIs, databases, and business logic into agent workflows. - Developing RAG (Retrieval Augmented Generation) pipelines using vector databases like Pinecone, Supabase, and Weaviate. - Fi...

Role Overview: As an AI Research Scientist, you will be responsible for developing the overarching technical vision for AI systems that meet both current and future business needs. Your role will involve architecting end-to-end AI applications, collaborating with business analysts and domain experts to translate business objectives into technical requirements, and designing agile project roadmaps in alignment with market needs. Additionally, you will work closely with product management to ensure smooth data flows, quality, and governance across various data sources. Key Responsibilities: - Lead the design of reference architectures, roadmaps, and best practices for AI applications - Evaluat...

Introduction IBM Consulting drives business and technology transformation globally. Asset Engineering seeks an experienced Data Scientist to develop scalable AI solutions supporting multiple clients and internal initiatives. Your Role And Responsibilities Build GenAI solutions using LLMs, embeddings, vector DBs, and RAG pipelines. Create AI agents that can perform multi-step tasks reliably. Write strong, clean Python code for data processing, modelling, APIs, and pipelines. Design and manage vector search systems (FAISS, Pinecone, Weaviate, etc.). Work with product and engineering teams to ship AI features into production. Evaluate models, improve accuracy, reduce latency, and monitor perfor...

About the Role: 10 Key Responsibilities As an Agentic AI Senior Developer, you will: Framework and Platform Expertise: Evaluate, recommend, and implement leading AI tools and frameworks, with a strong focus on autonomous AI solutions (e.g., multi-agent frameworks, self-optimizing systems, LLM-driven decision engines). Drive the selection and utilization of cloud platforms (AWS preferable) for scalable AI deployments. Customization and Optimization: Design strategies for optimizing autonomous AI models for domain-specific tasks (e.g., real-time analytics, adaptive automation). Define methodologies for fine-tuning LLMs, multi-agent frameworks, and feedback loops to align with overarching busin...

Hiring for: Strong: Python (Backend & AI) Experience: AI/ML, GenAI Agents, RAG Pipelines & LLM Orchestration Cloud: AWS (Bedrock, SageMaker, Inferentia) or Azure OpenAI, or Google Vertex AI Mandatory AIML Certification: AWS, Azure, or GCP Required Candidate profile Agentic: LangGraph, AutoGen, CrewAI Evaluation: Agent Evaluation & Debugging Data Engineering: Vector Database, Graph Database, Ingestion Pipeline Containerization: Docker, Kubernetes & CI/CD pipeline Perks and benefits Excellent Perks & Benefits

Job Description: ML Frameworks: TensorFlow, PyTorch, Scikit-learn, XGBoost, LightGBM GenAI & Agentic Tools: Lang Chain, Llama Index, Haystack, Crew AI, Autogen LLMs & APIs: Hugging Face, OpenAI, Azure OpenAI, Cohere, Anthropic Claude, Gemini Embeddings & Vectors: Sentence Transformers, FAISS, Pinecone, Azure Cosmos DB (Vector Search) Infrastructure Tools: Docker, Kubernetes, MLflow, Fast API/Flask, Git Azure Machine Learning, Azure Functions, AKS, Blob Storage, Cosmos DB CI/CD for ML Experience integrating LLMs into enterprise workflows via APIs or agent frameworks. Prior experience in data engineering is an add-on. Roles and Responsibilities: Work with the team to build and create an AI pra...

Capgemini is hiring for Agentic AI Developer role Locations: Mumbai/ Pune/Chennai/Hyderabad/Bangalore/Noida/Gurugram Work mode: Hybrid Experience range: 2 years to 13 years Job Description We are looking for a Agentic AI Developer with 2+ years of hands-on experience in designing, developing, and deploying intelligent, autonomous AI agents that can plan, reason, and act toward achieving complex goals. This role blends expertise in Generative AI, Large Language Models (LLMs), and orchestration frameworks to build systems that go beyond static responsesenabling dynamic, goal-driven behavior. Key responsibilities Build autonomous agents using frameworks like LangChain, LangGraph, AutoGen, and C...

Overview Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft's mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered ...

Title - AI Engineer Type - Contract Location - Hybrid, Chennai Roles and Responsibilities: Architect and implement end-to-end full-stack solutions for Agentic AI applications that integrate real-time and historical data to facilitate autonomous decision-making. Design, develop, and deploy intelligent agents using frameworks such as LangChain and LangGraph , leveraging large language models (LLMs) for document authoring, semantic search, and recommendation systems. Build scalable, secure, and compliant chatbot interfaces that serve enterprise needs. Develop and maintain robust data pipelines using Python , Snowflake SQL , and various AWS-native services to ensure seamless data flow and proces...

Develop generative AI solutions on AWS, focusing on LLMs, prompt engineering, RAG, and agentic AI using n8n and Python libraries like LangChain. Key Requirements (8 Points): Build LLMs (e.g., Anthropic Claude) on AWS Bedrock with boto3. Fine-tune LLMs on AWS SageMaker using transformers and LoRA. Create prompts with langchain for optimized LLM outputs. Develop RAG pipelines with AWS OpenSearch and langchain. Build AI agents with crewai or autogen on AWS Lambda. Implement agentic workflows in n8n (e.g., n8n.io/workflows/6270). Deploy apps with Docker on Amazon ECS/EKS. Monitor performance with Amazon CloudWatch and wandb. Must-Have Skills: 5+ years Python experience with 2+years in GenAI/LLMs...

Role- Responsibilities Implement agentic workflows in Python using an agent framework. Semantic Kernel is preferred. Experience with LangGraph, AutoGen, CrewAI, or equivalent is valuable. Build reliable tool and function calling flows with planning, memory, and conversation orchestration. Develop retrieval pipelines for RAG and hybrid search including ingestion, chunking, embeddings, ranking, query planning, grounding, and caching. Ship agents to production on cloud platforms. Integrate identity, networking, cost controls, and runtime observability. Instrument applications with tracing, metrics, and logs. Establish evaluation workflows using prompt and flow tests for offline, batch, and A/B ...

Overview The Data Security team's mission is to building cloud solutions to support premium features that provide security, compliance, data governance, data loss prevention, and more, in a fully integrated manner from services to clients of Office 365 as well as Windows. We create global scale services to transport, store, secure and manage some of the most sensitive data on the planet and build our services on top of Azure, Exchange and other cloud platforms, and our experiences in Office applications like Outlook. The IDC arm of the team is expanding substantially and is looking for talented and highly motivated engineers. This is an excellent opportunity for anyone who has, or wants to b...

Overview Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft's mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered ...

As an experienced Python developer with 7+ years of overall experience, you have expertise in API development and have integrated LLM for at least 2 years. Your hands-on experience includes developing RESTful APIs and WebSockets using Python frameworks, preferably FastAPI or Flask. You have implemented event-driven architectures such as Kafka or Pub/Sub to enable low-latency data processing. Additionally, you have designed, implemented, and deployed microservice architecture-based applications. Key Responsibilities: - Troubleshoot and resolve backend issues, optimizing application performance, and ensuring reliability - Stay updated with industry trends and best practices in backend developm...

Overview Design, build, and operate production AI agents and tool using Agentic AI frameworks in Python. Own agentic workflows end to end across planning, reasoning, tool calling, retrieval, evaluation, security, and observability. Responsibilities Implement agentic workflows in Python using an agent framework. Semantic Kernel is preferred. Experience with LangGraph, AutoGen, CrewAI, or equivalent is valuable. Build reliable tool and function calling flows with planning, memory, and conversation orchestration. Develop retrieval pipelines for RAG and hybrid search including ingestion, chunking, embeddings, ranking, query planning, grounding, and caching. Ship agents to production on cloud pla...

Area(s) of responsibility Job Title: Generative AI Developer Experience Level: 5 Years Location: Any Account: NVIDIA Role Overview We are seeking a highly skilled and motivated Generative AI Developer with 5 years of experience to join our AI innovation team. The ideal candidate will have strong proficiency in Python, hands-on experience with Large Language Models (LLMs), and a deep understanding of AI agent orchestration frameworks. You will be responsible for designing, building, and optimizing GenAI workflows that drive intelligent automation and enhance user experiences. Key Responsibilities Develop, integrate, and deploy AI-driven solutions using Python. Work with LLM APIs such as OpenA...

Job Description Looking to make an impact in AI for telecom As an AI Architect, you'll drive the design and deployment of innovative AI/ML frameworks and solutions tailored for the telecom industry. You'll define architecture blueprints, choose the right tools and platforms, and partner with cross-functional teams to build scalable, high-impact AI systems. If you're passionate about driving real-world transformation through AI, this role is for you. How You Will Contribute And What You Will Learn Design end-to-end AI architecture tailored to telecom services business functions (e.g., Service assurance, Orchestration and Fulfilment). Define data strategy and AI workflows including Inventory M...

About Srotas Health Srotas Health is an AI-first company building next-generation agentic and generative AI systems. Our core platform, SrotasIQ, leverages proprietary LLMs, multi-agent reasoning, and dynamic orchestration frameworks to deliver adaptive, high-performance AI solutions across diverse real-world use cases. Role Summary We're looking for a Senior AI Engineer who thrives on solving hard problems and scaling ambitious ideas. You'll lead the architecture and development of advanced AI systems from fine-tuning and prompt optimisation to building agentic frameworks and multi-model orchestration. This is a hands-on role for a go-getter and problem solver who's excited to work across m...

Overview Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft's mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered ...

Minimum 8 to 10 years of experience as Data migration consultant and having atleast worked on two end to end ADM SYNITI full lifecycle implementations. Expertise in Enriching the Construct is a must. Expertize in Syniti ADM Collecting the Data, Mapping the data and data Constructs. Good experience in Data modelling, extraction and report creation. Hands-on experience in data extraction setup in Syniti Common, Collect, Construct, Autogen, DataConstructionServer, Integrate, MDM, Mapping and Transformation modules of Syniti ADM DSP. Data migration experience including proficiency in data analysis, data profiling and conversion planning for data migration activities using SAP ADM by Syniti tool ...

Roles and Responsibility Design and develop innovative AI solutions using various agent frameworks. Collaborate with cross-functional teams to integrate AI models into existing systems. Develop and implement automated testing scripts to ensure high-quality AI solutions. Troubleshoot and resolve complex technical issues related to AI model integration. Work closely with data engineers to design and implement data pipelines for AI model training. Develop and maintain technical documentation for AI models and integrations. Job Requirements Strong understanding of artificial intelligence concepts, including machine learning and deep learning. Experience with agent frameworks such as CrewAI, Lang...

Extensive experience in designing and implementing scalable, maintainable and reliable software solutions Working knowledge of AI/ML and Gen AI applications and how they can enhance software engineering processes to improve productivity Experience building RAGs using LlamaIndex, LangChain, or similar frameworks. Experience building Agentic AI systems using AutoGen, SemanticKernel, Pydantic, or similar frameworks is preferred Proficiency in one or more programming languages (e.g., Python, TypeScript or C#) and experience developing microservices architecture on cloud platforms (AWS Azure) A keen interest in researching new AI tooling and you are a daily user of AI coding assistants such as Cu...

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III - AI ML + Python at JPMorgan Chase within the Asset & Wealth Management, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. At JPMorgan Chase, we are reimagining software engineering itself - by building an AI-Native SDLC Agent Fabric, a next generated ecosystem of autonomous, c...