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Urgent! Agentic AI Developer – LLM Systems & Automation (3 to 5 yrs) Job Opening In New Delhi – Now Hiring AIMLEAP

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



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.


Required Skill Profession

Computer Occupations



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