GEN AI Engineer

We’re Hiring: AI Engineer – Generative AI, LLMs, Python, FastAPI

Experience:

Location:

About the Role

AI Engineer (Generative AI)

GenAI-powered solutions

You will collaborate with data scientists, ML engineers, and backend teams to turn advanced research into scalable production systems that deliver real-world impact.

What You’ll Do

• Design and implement

  Generative AI applications

  powered by Large Language Models (LLMs) such as GPT, Claude, LLaMA, or Gemini.
• Develop

  FastAPI-based microservices

  for AI model inference, orchestration, and integration with product backends.
• Fine-tune and optimize pre-trained LLMs for domain-specific use cases using

  RAG, LoRA, or PEFT

  .
• Implement pipelines for

  prompt engineering, embeddings, and context retrieval

  to enhance model accuracy and response quality.
• Collaborate with data scientists to evaluate model outputs, refine responses, and ensure alignment with business logic.
• Integrate external APIs (OpenAI, Anthropic, HuggingFace, Azure AI, etc.) into scalable production systems.
• Develop secure, high-performance AI endpoints with proper monitoring, caching, and load management.
• Research and experiment with new architectures, frameworks, and techniques to continuously improve GenAI capabilities.
• Partner with cross-functional teams to deliver innovative AI-driven features in production environments.

What You’ll Need

• 3–7 years of hands-on experience in

  AI/ML engineering

  or backend development with strong exposure to

  Generative AI

  .
• Proficiency in

  Python

  ,

  FastAPI

  , and RESTful API development.
• Solid understanding of

  LLMs

  ,

  prompt design

  ,

  vector databases

  (like Pinecone, FAISS, or Chroma), and

  retrieval pipelines

  .
• Experience with

  HuggingFace Transformers

  ,

  LangChain

  ,

  LlamaIndex

  , or similar frameworks.
• Working knowledge of

  model fine-tuning

  ,

  embeddings

  , and

  RAG-based systems

  .
• Familiarity with cloud environments (AWS, GCP, or Azure) and MLOps tools for model deployment.
• Strong problem-solving mindset with a focus on scalability, reliability, and maintainability.
• Excellent collaboration skills and ability to work in an agile, fast-paced environment.

Nice to Have

• Experience integrating

  OpenAI API

  ,

  Anthropic

  , or

  Vertex AI

  models.
• Knowledge of

  Docker

  ,

  Kubernetes

  , or CI/CD for AI services.
• Exposure to

  frontend integration

  for AI-powered user interfaces (Streamlit, React, or similar).
• Experience working with

  RAG pipelines

  using

  FAISS

  ,

  Pinecone

  , or

  Weaviate

  .