Senior Python GenAI Engineer

Job Title: Senior Python GenAI Engineer

Location:

About the Role:

Senior Python GenAI Engineer

Key Responsibilities:

• Design and implement scalable GenAI applications using

  Python

  ,

  LangChain

  ,

  transformers

  ,

  LoRA

  , and other state-of-the-art libraries.
• Build, fine-tune, and deploy LLMs using

  AWS SageMaker

  ,

  Bedrock

  , and open-source models.
• Implement

  Retrieval-Augmented Generation (RAG)

  pipelines using vector stores, embedding models, and document retrievers.
• Develop and orchestrate multi-agent systems using frameworks like

  crewai

  and

  Autogen

  .
• Integrate automation workflows with tools like

  n8n

  to enhance pipeline productivity and AI task orchestration.
• Build and maintain scalable APIs and microservices using

  AWS Lambda

  ,

  Docker

  ,

  ECS/EKS

  , and

  boto3

  .
• Monitor, log, and debug models and infrastructure using

  AWS CloudWatch

  and

  Weights & Biases (wandb)

  .
• Collaborate with cross-functional teams including Data Scientists, ML Engineers, and DevOps to productize and scale GenAI solutions.
• Ensure best practices in security, performance, and maintainability of AI/ML systems.

Key Qualifications:

• 5+ years of Python development experience, with strong coding and software design skills.
• Hands-on experience with

  GenAI

  ,

  LLMs

  , and libraries like

  transformers

  ,

  LangChain

  , and

  LoRA

  .
• Experience building and fine-tuning models on

  AWS SageMaker

  and integrating with

  AWS Bedrock

  .
• Expertise in serverless computing and containerized deployments using

  AWS Lambda

  ,

  Docker

  ,

  ECS/EKS

  .
• Familiarity with

  multi-agent AI frameworks

  (e.g.,

  crewai

  ,

  Autogen

  ) and orchestrated automation using

  n8n workflows

  .
• Proficiency in

  RAG pipeline

  design with embeddings, vector databases, and hybrid retrieval methods.
• Strong understanding of

  boto3

  ,

  CloudWatch

  , and general AWS infrastructure.
• Experience with experiment tracking and visualization using

  wandb

  or similar tools.
• Strong problem-solving skills, communication, and ability to work independently or in a team.
• Bachelor's or Masters degree in Computer Science, AI/ML, or related field.