Agentic AI Developer

Agentic AI Developer

Work Type: Contract (12 Months)

Immediate joiners only

Location: Anywhere in India (Hybrid)

Skills:

Role:

Agentic AI Developer : Responsible for designing and implementing autonomous AI agents and multi-agent systems. Should be able to build systems capable of reasoning, planning, and executing complex tasks by connecting LLMs with enterprise tools and APIs.

Should have hands-on experience in Python and cloud platforms (GCP & AWS).

Design and develop agentic workflows using frameworks like LangChain, LangGraph, CrewAI, or AutoGen.

Build, test, and deploy autonomous agents capable of multi-step planning, tool invocation, and memory management.

Deploy and manage AI services on GCP (Vertex AI) and AWS (Bedrock, SageMaker, or Lambda).

Develop and optimize robust RESTful APIs (FastAPI/Flask) to integrate AI agents with internal databases and third-party services.

Implement Retrieval-Augmented Generation (RAG) systems using vector databases (e.g., Pinecone, Weaviate, or ChromaDB) to provide agents with domain-specific context.

Work with cross-functional teams to translate business requirements into technical AI architectures.

Technical Skills

Proficiency in Python is required, including experience with async programming, modular architectures, and AI libraries.

Experience is required when working with LLMs from OpenAI, Anthropic, or Google (Gemini).

Experience in GCP and AWS cloud environments is required.

Experience in API design and securing tool-use for agents is required.

Additional Advantages (Nice-to-Have)

Knowledge of the Google Agent Development Kit (ADK) for building and managing complex agent workforces.

Experience in designing specialized agent teams that collaborate to solve high-complexity problems.