Experience
4 - 9 yrs
Job Location
Noida, India
Vacancy
1
Designation
Artificial Intelligence Developer
Job Type
ONSITE
Job Description
Design, build, and deploy agentic AI systems capable of autonomous reasoning, tool use, and multi step task execution.
Develop and maintain RAG (Retrieval Augmented Generation) pipelines, including retrieval strategies, vector indexing, and knowledge grounded AI applications.
Build and orchestrate workflows using agentic frameworks such as LangGraph, LangChain (LCEL), AutoGen, crewAI, or similar platforms.
Implement Model Context Protocols (MCPs) for tool integrations, API orchestration, structured system interactions, and scalable agent execution.
Translate ambiguous business problems into robust, modular, and production ready agentic solutions.
Evaluate and optimize agent performance, memory, planning, reasoning depth, hallucination reduction, and cost efficiency.
Collaborate with ML engineers, platform engineers, and product teams to integrate agentic systems into enterprise platforms.
Establish LLMOps / AgentOps best practices, including monitoring, observability, versioning, guardrails, and safety policies.
Document system architectures, reasoning flows, and integration contracts for technical and non technical stakeholders.
Technical Skills Must Have:
Strong understanding of Agentic AI architectures, including planning, reflection, tool usage, multi agent collaboration, and decision loops.
Hands on experience with RAG systems: embeddings, chunking strategies, hybrid retrieval, reranking, and evaluation.
Advanced proficiency in Python, with experience building production grade AI services and automation layers.
Practical experience with LangGraph, LangChain, AutoGen, crewAI, or similar agentic frameworks.
Proven expertise in implementing MCPs, tool registries, API connectors, and external system integrations for agents.
Deep experience working with LLMs (OpenAI, Anthropic, Azure OpenAI, Llama), including prompt engineering, tool calling, and structured outputs.
Experience deploying and scaling agentic workloads on AWS, Azure, or GCP.
Experience with vector databases such as Pinecone, Weaviate, FAISS, Elastic, or MongoDB Atlas Vector Search.
Strong fundamentals in data structures, algorithms, system design, and distributed application architecture.
Experience designing and consuming RESTful and event driven APIs for AI system integration.
Knowledge of containerization, CI/CD pipelines, and production deployment best practices for AI systems.
Ability to collaborate with team members effectively with both technical and non technical stakeholders.
Preferred / Good to Have:
Experience building autonomous or semi autonomous agents for workflow automation, decision support, or internal tooling.
Familiarity with agent evaluation and observability tools.
Understanding of guardrails, safety frameworks, and governance in enterprise AI systems.
Exposure to knowledge graphs, symbolic reasoning, or graph based agent memory systems.
Contributions to open source AI, LLM, or agentic frameworks.
Basic Qualifications:
Bachelor s or Master s degree in Engineering, Computer Science, AI, or a related field.
4+ years of industry experience, focused on LLM based systems, RAG, or Agentic AI.
Strong communication skills and the ability to work in cross functional, fast moving teams.
No Referrers Available
There are currently no referrers available for this job. You can still apply, will let you know once there is any referrer available.