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Agentic AI Developer – LLM Systems & Automation (3 to 5 yrs)

Agentic AI Developer – LLM Systems & Automation (3 to 5 yrs)

AIMLEAPPune, IN
1 day ago
Job description

Agentic AI Developer – LLM Systems & Automation

Experience :   3–5 Years

Location :  Remote (WFH)

Mode of Engagement :   Full-time

No of Positions :  4

Educational Qualification :   B.E. / B.Tech / M.E. / M.Tech in Computer Science, AI / ML, or related

Industry :  IT – AI / ML & Automation Services

Notice Period :   Immediate Joiner

What We Are Looking For

  • AI & LLM Development :  Strong hands-on experience in building and fine-tuning LLM-driven and agentic AI systems using frameworks like LangChain, LlamaIndex, or DSPy, with focus on reasoning, memory, and tool chaining.
  • Backend Engineering :   Solid Python development skills with expertise in designing FastAPI / Django-based APIs, managing data pipelines, and integrating LLM modules into scalable backend systems.
  • Autonomous Execution :   Proven ability to independently design, implement, and deploy GenAI workflows — taking ownership from prototype to production without senior handholding.

Responsibilities

  • Design, build, and optimize LLM-powered agentic systems that leverage memory, context reasoning, and dynamic tool invocation.
  • Implement multi-agent orchestration workflows integrating APIs, databases, and scrapers using frameworks like LangChain, LlamaIndex, or AutoGen.
  • Develop modular AI pipelines and integrate them with backend services using Python, FastAPI, or Flask.
  • Work on model evaluation, context handling, and prompt engineering to enhance reasoning and accuracy.
  • Deploy, test, and scale models on Dockerized or cloud environments (AWS / GCP).
  • Stay aligned with emerging trends in LLM reasoning frameworks, agentic design, and open-source AI ecosystems.
  • Qualifications

  • 3–5 years of experience in AI / ML, backend, or applied LLM system development.
  • Strong Python programming skills with exposure to Transformers, LangChain, LlamaIndex, or DSPy.
  • Understanding of LLM architectures, tool chaining, context memory, and reasoning strategies (ReAct, Tree of Thought, etc.).
  • Experience with FastAPI, Docker, PostgreSQL, Git, and production-grade code practices.
  • Ability to independently manage AI projects from concept to deployment.
  • Strong analytical, debugging, and problem-solving skills.
  • Good communication and collaboration skills in distributed environments.
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