Agentic Developer

4 days ago

Pune, Maharashtra, India Hatchtra Innotech Pvt. Ltd. Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Role -: Agentic Developer

Exp Years

Location - Mumbai / Pune / Gurugram

Notice Period - Immediate Joiner - LWD 31 Oct ( If serving NP )

We seeking an innovative Agentic AI Developer to design, build, and deploy autonomous AI agents capable of reasoning, decision-making, and task automation. The role involves developing multi-agent systems using LLMs, integrating APIs and tools, and optimizing performance through reinforcement learning and memory-driven architectures. The ideal candidate combines strong software engineering skills with deep knowledge of AI frameworks, prompt engineering, and agent orchestration platforms.

Work Experience

· Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field.

·
5+ years of experience in AI/ML
or software development with
hands-on exposure to LLMs.

·
Strong proficiency
in
Python
and experience with
AI frameworks such as LangChain, LlamaIndex, AutoGen, or CrewAI or AutoGen, CrewAI, Agentic Ai AI Agents, Google ADK LangGraph and n8n

· Experience working with
LLM APIs (OpenAI, Anthropic, Google Gemini, etc.) and vector databases (Pinecone, Chroma, FAISS).

· Knowledge of agent orchestration, prompt engineering, and context memory management.

· Familiarity with cloud environments
(AWS, GCP, Azure)
and containerization
(Docker, Kubernetes).

Responsibilities

  • Design and Develop AI Agents:
    Build intelligent, autonomous agents leveraging LLMs, memory frameworks, and multi-agent coordination systems (e.g., LangChain, CrewAI, AutoGen).
  • Integrate APIs and Tools:
    Connect agents with third-party APIs, knowledge bases, and internal systems to enable dynamic data access and real-time task execution.
  • Optimize Agent Performance:
    Apply reinforcement learning, context management, and retrieval-augmented generation (RAG) techniques to enhance reasoning and accuracy.
  • Develop End-to-End Pipelines:
    Create scalable, production-ready pipelines for AI agent deployment, monitoring, and continuous improvement.
  • Collaborate with Cross-Functional Teams:
    Partner with product managers, ML engineers, and domain experts to translate business use cases into functional agentic systems

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