Agentic AI Developer – LLM Systems

2 days ago

Remote, India FullStackTechies Full time ₹ 24,00,000 - ₹ 36,00,000 per year

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.

Job Type: Full-time

Pay: ₹40, ₹50,000.70 per month

Benefits:

  • Health insurance
  • Paid sick time
  • Provident Fund
  • Work from home

Application Question(s):

  • How many years of hands-on experience do you have in AI/ML or LLM-based development?
  • How many Agentic AI projects have you built or contributed to using frameworks like LangChain, LlamaIndex, DSPy, or AutoGen?
  • How many years of Python backend development experience do you have with FastAPI, Django, or Flask?
  • How many projects involved implementing memory, reasoning, or tool-chaining capabilities in LLM workflows?
  • How many years of hands-on experience do you have working with Docker, Kubernetes, or cloud platforms (AWS/GCP/SageMaker)?
  • How many projects have you handled independently from concept to production?
  • Notice period (days)
  • Current CTC (monthly)

Work Location: Remote

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