Generative AI Engineer

Gen AI Engineer

Experience:

Location:

About the Role

Senior Generative AI Engineer

Key Responsibilities

• Design and implement

  Generative AI applications

  using

  Python

  and cloud-native AI/ML services.
• Collaborate with data scientists and product teams to build scalable

  RAG

  (Retrieval-Augmented Generation) systems.
• Integrate

  LLMs

  into production environments and optimize model performance.
• Build and deploy APIs/microservices for GenAI solutions.
• Write

  clean, efficient, and reusable Python code

  with proper testing.
• Ensure system reliability, logging, and monitoring in production.
• Stay current with emerging tools (LangChain, LLAMAIndex, VectorDBs, Bedrock, Vertex AI, Azure OpenAI, etc.).

Required Skills

• 4+ years of professional software development experience.

• Proficiency in Python

  and related ML/AI libraries.
• Hands-on with

  RAG frameworks

  and

  LangChain

  (or equivalent).
• Understanding of

  LLM fine-tuning

  ,

  prompt engineering

  , and

  vector databases

  .
• Familiarity with

  cloud ecosystems

  (AWS, Azure, or GCP).
• Excellent debugging, problem-solving, and collaboration skills.

Good to Have

• Experience with

  microservices

  ,

  RESTful APIs

  ,

  Docker

  ,

  Kubernetes

  .
• Exposure to

  Cloud Functions

  ,

  Cloud Logging

  , and

  Monitoring

  .
• Knowledge of

  LLMOps

  or

  Model Deployment pipelines

  .