Generative AI Engineer

1 day ago

Chennai, India Fastack Technologies Full time

Company Description

Fastack.AI is dedicated to empowering small and medium-sized enterprises (SMEs) with advanced AI and software development services. With a team of experts boasting over 100 years of combined experience, we focus on creating tailored solutions that improve operational efficiency, enhance customer experiences, and drive growth. By understanding your goals, workflows, and pain points, we deliver customized solutions to meet your specific needs. Our mission extends from automating tasks to building user-friendly applications, aiding businesses in thriving within today's competitive market.

Role Description

We are seeking a
Generative AI Engineer
with a strong background in large language models and AI agent development. This is a full-time
on-site
role based in
Chennai
.

You'll be responsible for designing and deploying intelligent AI agents powered by LLMs, integrating tools and APIs, and building agent workflows that solve real-world business problems. You will work closely with product, engineering, and design teams to turn ideas into production-ready systems.

Location :
Chennai,Tamil Nadu (on-site)

Key
Responsibilities
:

  • Build and deploy LLM-powered AI agents using frameworks like
    LangChain
    ,
    CrewAI
    , or
    AutoGen
  • Integrate agents with external tools, APIs, databases, and real-time systems
  • Implement
    Retrieval-Augmented Generation (RAG)
    and vector search pipelines
  • Fine-tune models or apply adapters (e.g., LoRA, PEFT) where ever needed
  • Develop robust prompt strategies and manage agent memory and context
  • Analyze performance and continuously optimize for speed, reliability, and accuracy
  • Stay updated with the latest advancements in GenAI and apply them in production
  • Document technical approaches and contribute to internal knowledge sharing
  • Research on new architectures and Agent Development approach

Qualifications

  • Solid understanding of
    LLMs
    , prompt engineering, and multi-agent architecture
  • Proficiency in
    Python
    , and familiarity with
    LangChain
    ,
    LlamaIndex
    , or similar libraries
  • Experience with
    vector databases
    (e.g., Pinecone, ChromaDB, FAISS)
  • Strong foundation in
    machine learning
    ,
    deep learning
    , and
    NLP
  • Experience working with APIs, webhooks, and third-party integrations
  • Hands-on knowledge of model training, fine-tuning, or open-source LLMs is a must
  • Prior experience building or integrating chatbots, virtual assistants, or autonomous agents
  • Bachelors/Master's degree or equivalent in Computer Science, AI, or related field preferred

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