Python Developer - Agentic AI & Multi-Agent Systems in Bengaluru, India
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Python Developer - Agentic AI & Multi-Agent Systems in Bengaluru, India is listed on Jobeax. Browse 30,000+ vacancies available.
Role : Python Developer Agentic AI & Multi-Agent SystemsPosition : Software Engineer / Senior Software Engineer Python, FastAPI & Agentic AIExperience : 3 to 8+ YearsLocation : Hyderabad, Chennai, Bangalore, PuneWork Mode : On-site / Hybrid as per project requirementsJob Summary : We are looking for a hands-on Python Developer / Software Engineer with strong experience in building Agentic AI, LLM-powered applications, and multi-agent systems. The ideal candidate should have practical experience with Python, FastAPI, MCP, Agent-to-Agent (A2A) communication, and multi-agent orchestration frameworks. The candidate will be responsible for designing scalable backend services, developing autonomous AI workflows, integrating LLMs, and building production-ready agentic https://jobeax.com/link/wXURIxgrAfa888Pf Responsibilities : - Design, develop, and maintain scalable backend services and REST APIs using Python and FastAPI.- Build production-ready Agentic AI applications capable of reasoning, planning, tool usage, and autonomous task execution.- Design and implement Agent-to-Agent (A2A) communication to enable collaboration, context sharing, task delegation, and state management between AI agents.- Implement Model Context Protocol (MCP) to expose tools, resources, and data sources to LLM-powered agents.- Design multi-agent orchestration workflows covering task delegation, sequencing, parallel execution, fallback mechanisms, and error recovery.- Integrate LLMs such as OpenAI, Anthropic Claude, and open-source models into agent pipelines.- Implement tool calling, function calling, RAG, memory, and contextual workflows within AI applications.- Build APIs and microservices supporting agent orchestration, state management, inter-agent communication, and workflow execution.- Work with frameworks such as LangGraph, LangChain, CrewAI, AutoGen, and Semantic Kernel.- Develop asynchronous services and workflows using Python Asyncio.- Implement authentication and authorization using OAuth2, JWT, and secure API practices.- Collaborate with Product, ML, Data, and Platform teams to define agent capabilities, memory strategies, tool interfaces, and communication contracts.- Write clean, scalable, testable, and well-documented production-grade code.- Develop unit and integration tests for APIs, agent workflows, tools, and orchestration components.- Monitor, debug, and optimize agent performance, latency, reliability, and resource utilization in production.- Ensure secure handling of credentials, sensitive data, tools, APIs, and agent https://jobeax.com/link/UjW9DF3udQE7tnOj Skills : - Strong hands-on experience with Python- FastAPI and REST API development- Practical experience in Agentic AI / LLM-based applications- Model Context Protocol (MCP)- Agent-to-Agent (A2A) communication- Experience with one or more : LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel- Strong understanding of Asyncio / asynchronous programming- Experience with LLM integration, tool calling, function calling, and RAGSecondary Skills : - OpenAI / Anthropic APIs- REST API design- OAuth2 / JWT- Microservices architecture- Unit and integration testing- Docker / Kubernetes- AWS / Azure / GCP- Distributed systems- Workflow orchestration tools such as Airflow, Temporal, or PrefectQualifications : - Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.- 3 to 8+ years of professional software development experience.- Demonstrable experience building and deploying AI/LLM-based applications is highly preferred. (ref:hirist.tech)
... that AI-driven outputs align with specific industry requirements and regulatory standards.- Establish rigorous evaluation frameworks and monitoring protocols to maintain model accuracy, mitigate hallucinations, and ensure the ethical deployment of AI systems.- Mentor junior engineers and foster a culture of technical excellence ...
... LLMs, SLMs, agentic AI, machine learning, AI safety, and responsible AI . WHAT MAKES YOU A GREAT FIT - 3+ years of professional experience in Machine Learning, AI/ML Engineering, Data Science, or a related field. - Strong hands-on experience with Machine Learning, LLMs, and SLMs . - Mandatory experience with LangChain and ...
... for a Generative AI / Agentic AI Developer with strong experience in Large Language Models (LLMs), AI Agents, RAG architectures, and intelligent automation systems. The role involves designing, developing, and deploying next-generation AI-powered applications using modern GenAI frameworks and multi-agent architectures. ...
... and efficiency Software Engineering Develop production-grade APIs and backend services Apply Clean Architecture / DDD principles Write maintainable, testable Python code Contribute to CI/CD, deployment, and observability systems Stakeholder Collaboration Act as a bridge between business stakeholders and AI systems Translate ...
... single-agent and multi-agent AI systems capable of reasoning, tool usage, planning, and task execution.- Own the complete AI solution lifecycle : data pipeline, RAG/agent development, evaluation, deployment, monitoring, and optimization.- Build scalable APIs and backend services using Python and FastAPI.- Deploy AI applications ...
... single-agent and multi-agent AI systems capable of reasoning, tool usage, planning, and task execution.- Own the complete AI solution lifecycle : data pipeline, RAG/agent development, evaluation, deployment, monitoring, and optimization.- Build scalable APIs and backend services using Python and FastAPI.- Deploy AI applications ...
... Architectures and Microservices, with a proven track record of managing distributed systems in high-traffic cloud environments.- Advanced proficiency in Python and modern AI frameworks, specifically leveraging LangChain and LLM-based architectures to build autonomous agentic solutions.- Strong command over Kubernetes and container ...
... LangChain, AutoGen or CrewAI- Strong Python, FastAPI and asynchronous programming skills- Hands-on experience with RAG pipelines and Vector Databases such as FAISS, Pinecone or pgvector- Experience with Prompt Engineering and LLM evaluations- Strong understanding of Agentic AI / Multi-Agent architectures- Experience with ...
... understanding of GenAI, LLMs, embeddings, chunking, and vector https://jobeax.com/link/OTrFdpEbQuhkILvE Responsibilities :- Design, develop, and deploy end-to-end AI-powered features, including intelligent agentic workflows using frameworks like LangChain, LangGraph, or LlamaIndex.- Build and maintain robust Python-based backend ...
... and GraphRAG solutions.- Develop Agentic AI and Multi-Agent systems.- Implement prompt engineering, prompt optimization, tool calling, memory management, and agent workflows.- Work with LLMs such as OpenAI GPT, Claude, Gemini, Llama, and Mistral.- Develop scalable and maintainable applications using Python.- Work with vector ...
Role Summary :We are seeking a highly experienced Agentic AI Solution Architect to design and scale autonomous AI systems on AWS. This role will architect multi-agent frameworks, LLM-powered decision systems, and enterprise-grade AI platforms that integrate with data warehouses, MarTech ecosystems, and business applications. ...
... agentic workflows. You enjoy working with product owners to define problems, proposing architectures, building alignment, and then delivering. Experience building agentic developer platforms, internal tooling, or app builder/low-code systems. MarTech or AdTech domain knowledge (DSPs, bid stream processing, data-intensive platforms). ...
About the Role:We are looking for a Senior AI Developer Engineer with strong hands-on experience in AI, Generative AI, Agentic AI, and intelligent automation. The ideal candidate should be proficient in Python and experienced in building secure, scalable, production-grade enterprise AI solutions using modern AI frameworks ...
About the Role:We are looking for a Senior AI Developer Engineer with strong hands-on experience in AI, Generative AI, Agentic AI, and intelligent automation. The ideal candidate should be proficient in Python and experienced in building secure, scalable, production-grade enterprise AI solutions using modern AI frameworks ...
About the Role:We are looking for a Senior AI Developer Engineer with strong hands-on experience in AI, Generative AI, Agentic AI, and intelligent automation. The ideal candidate should be proficient in Python and experienced in building secure, scalable, production-grade enterprise AI solutions using modern AI frameworks ...
... for a Generative AI / Agentic AI Developer with strong experience in Large Language Models (LLMs), AI Agents, RAG architectures, and intelligent automation systems. The role involves designing, developing, and deploying next-generation AI-powered applications using modern GenAI frameworks and multi-agent architectures. ...
... efficiency. Fluency in at least one of the following languages: Python or Go. - Strong background in software engineering with experience building internal tools, developer platforms, or complex integrations. - Familiarity with structured/agentic AI workflow frameworks, LLMs, RAG architectures, and the MCP. - Experience working ...
... enterprise AI frameworks, and AI-adopted development practices, including familiarity with Adobe Experience Platform AI Assistant, AEP Agent Orchestrator, and agentic workflows within the Adobe tech stack. Good To Have Skills: Proficiency in Python and familiarity with LangGraph for building agentic and multi-step AI workflows. ...
... Have: - Experience working with Docker and cloud platforms (AWS/GCP/Azure) is good to have - Familiarity with ML model serving is Nice to have. - Exposure to GenAI (e.g., llama, OpenAI, HuggingFace, LangChain, Agentic AI etc) or Data Engineering (e.g., Data platforms, pandas, numpy) is a strong advantage. Benefits Work on ...