Python Developer

#PythonDeveloper #GenAI #GenerativeAI #LangChain #LLM #AWSBedrock #RAG #VectorDatabase #CloudNative #NowHiring #TechHiring

Job Title:

Experience:

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Job Summary

Python Developer with strong Generative AI expertise

This role focuses on developing scalable GenAI solutions, integrating retrieval-based AI workflows, and collaborating closely with AI/ML, product, and DevOps teams to deliver end-to-end intelligent applications.

Key Skills (Mandatory)

• Strong proficiency in

  Python backend development

• Experience building

  Python-based APIs and microservices

• Hands-on experience with

  Generative AI

  concepts and implementations
• Strong experience with

  LangChain

  and

  LLMs

  (Claude, GPT, etc.)
• Experience with

  RAG (Retrieval-Augmented Generation)

  architectures
• Hands-on experience with

  AWS Bedrock

  and

  Titan Embeddings

• Experience working with

  vector databases

  such as:
• pgvector
• Pinecone
• FAISS
• MongoDB Atlas
• Solid understanding of

  RESTful APIs, microservices, and cloud-native design

• Experience using

  AWS services

  :
• Lambda
• S3
• ECS
• SQS
• STS
• Experience with

  Agile / Scrum development environments

• Familiarity with AI coding assistants like

  GitHub Copilot, Windsurf

  , or similar tools

Responsibilities

• Build and deploy

  Generative AI applications

  using LangChain, LLMs, and AWS Bedrock
• Integrate

  Titan embeddings, vector databases, knowledge graphs, and query retrieval systems

• Design, develop, and maintain

  Python APIs and backend microservices

• Develop scalable

  serverless and cloud-native applications

  on AWS
• Collaborate with

  AI/ML engineers, product managers, and DevOps teams

• Write clean, testable, and maintainable code following best practices
• Participate in

  code reviews, agile ceremonies

  , and continuous improvement initiatives
• Contribute to building

  secure, reliable, and production-ready AI solutions

Preferred Skills (Good to Have)

• Frontend development experience with

  Angular or ReactJS

• Experience with

  Docker, CI/CD pipelines

  , and

  Infrastructure as Code

  (Terraform)
• Exposure to

  embedding pipelines

  , AI data privacy, and security considerations
• Experience building

  Agentic AI workflows

  using

  LangGraph

  for multi-step reasoning and orchestration

Qualifications

• Minimum

  1 year of hands-on software development experience

• Strong background in

  Python and backend engineering

• Demonstrated experience building

  real-world GenAI applications