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Position Details: Lead - AI Engineer

Location: Chennai, Tamil nadu
Openings: 1
Salary Range:

Description:

Job Title:  Lead - AI Engineer

Location: Chennai

Experience: 3-4 years 

Employment Type: Full-Time

Job Summary:

We are seeking an AI Engineer with strong proficiency in Python and hands-on experience in building AI-powered applications. The ideal candidate should have experience working with FastAPI, Langchain, and Pydantic, along with a solid understanding of Generative AI concepts, Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG).

 

Key Responsibilities:

  • Develop, integrate, and optimize AI-powered applications using FastAPI and Langchain.
  • Design and deploy APIs using FastAPI with Pydantic for data validation.
  • Implement and fine-tune solutions leveraging Large Language Models (LLMs).
  • Build and optimize Prompt Engineering pipelines for LLM interactions.
  • Design and implement Retrieval-Augmented Generation (RAG) solutions for enhanced contextual responses.
  • Collaborate with data scientists, product managers, and engineers to deliver high-quality AI applications.
  • Continuously research and experiment with advancements in Generative AI technologies.

Key Skills & Technologies:

  • Programming: Python (Intermediate to Advanced)
  • Frameworks & Libraries:
    • FastAPI (API development)
    • Langchain (LLM integrations & workflows)
    • Pydantic (Data validation and settings management)
  • AI/ML Concepts:
    • Generative AI (Basics)
    • Large Language Models (LLM) – Understanding architecture, capabilities, and limitations
    • Prompt Engineering – Techniques for effective LLM interactions
    • Retrieval-Augmented Generation (RAG) – Building hybrid retrieval-generation systems
  • Version Control: Git, GitHub/GitLab
  • CI/CD: Familiarity with deployment pipelines (optional)

Preferred/Optional (Good to Have):

  • Experience with AI Agent Frameworks such as:
    • LangGraph
    • CrewAI
  • Knowledge of Vector Databases (e.g., FAISS, Chroma)
  • Cloud Platforms (AWS, Azure, GCP)
  • Containerization (Docker)

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