Nimap Infotech

AI/ML Developer
Mumbai
May 27, 2026
Full Time Training

Job Description

About Company:

Nimap Infotech is a 15+ years old end to end fastest growing software development company with around 400 + people team size and having offices in NewYork, Mumbai, Pune, and future plans to open offices in Ahmedabad and Bengaluru.
With 15+ years of outsourcing software development services, we have served over 500+ clients globally. It makes Nimap a global leader in technology, marketing, and outsourcing services.
We would like to offer students an opportunity to learn and develop the skills to become the next big tech innovator and the future of the cyber age with Nimap’s flagship internship program. This program provides an opportunity for students to learn the technical skills required to get their dream job and also gain experience by working on live projects under the same roof.
At Nimap Infotech, we believe that our greatest strength lies in our people — their passion, dedication, and creativity are the foundation of everything we build.
Our people-first culture emphasizes trust, transparency, and teamwork, empowering every team member to grow both personally and professionally.
We foster an environment where innovation is encouraged, collaboration is celebrated, and every idea has the potential to shape the future.
Together, we don’t just work — we build dreams, forge careers, and create lasting success stories.

Company Name: Nimap Infotech.

Experience: 0 – 1 Year.

Role: AI/ML Developer.

Job Location: Mumbai.

Eligibility Criteria:  

  • Qualification:  BE/BTech(AI/ML/DS)/MCS/MCA.
  • Pass out Year: 2025/2026.
  • Percentage Criteria: NA.
  • Any Bond: 2 or 3Years.
  • Certificate(If Any): AI/ML.

Package Details:

  • Stipend During 3 to 6 Months of Training Period: Rs.10,000/- Per Month + Rs.5,000/- Variable (Based on your Performance).
  • Approx Package For 2-Year Commitment: Rs.2,64,000/- Per Annum for the First Year and Rs.3,48,000/- Per Annum For the Second Year.
  • Approx Pakage For 3-Year Commitment: Rs.2,40,000/- Per Annum to Rs.5,40,000/- Per Annum with Increments Every 6 Months.

Roles and Responsibilities:

  1. Assist in developing and maintaining AI Agent architectures using LangChain and LangGraph.
  2. Implement backend services and APIs using FastAPI for LLM and agent interactions.
  3. Work with vector databases such as Chroma, Pinecone, and FAISS for document retrieval and memory management.
  4. Design, optimize, and fine-tune prompt templates for multi-agent workflows and reasoning tasks.
  5. Integrate external tools and third-party APIs including Google APIs, email systems, and calendar services into AI agent pipelines.
  6. Assist in building Retrieval-Augmented Generation (RAG) systems for domain-specific AI intelligence.
  7. Write clean, modular, scalable, and well-documented Python code following modern development and MLOps practices.
  8. Collaborate with senior developers and AI engineers on testing, debugging, optimization, and performance monitoring of AI systems.
  9. Support the development of autonomous and multi-agent workflows using modern LLM orchestration frameworks.
  10. Participate in code reviews, version control management using Git, and continuous improvement of AI development processes.

Skills Required:

  1. Strong proficiency in Python programming.
  2. Basic understanding of Machine Learning concepts including transformers, embeddings, and Large Language Models (LLMs).
  3. Familiarity with FastAPI or similar Python web frameworks.
  4. Working knowledge of or interest in LangChain and LangGraph.
  5. Understanding of prompt engineering techniques and AI agent workflows.
  6. Knowledge of Retrieval-Augmented Generation (RAG) concepts and vector databases.
  7. Familiarity with vector databases such as Chroma, Pinecone, FAISS, or Weaviate.
  8. Experience with REST APIs, third-party API integrations, and backend development.
  9. Knowledge of Git, version control systems, and Python virtual environments.
  10. Familiarity with LLM APIs such as OpenAI, Anthropic, or Ollama.
  11. Basic understanding of databases like PostgreSQL and MongoDB.
  12. Strong analytical thinking, debugging, and problem-solving skills.
  13. Ability to write clean, modular, and well-documented code.
  14. Interest in autonomous AI systems and multi-agent architectures.


Location