Senior Python Developer

About the Role

We are looking for a highly skilled
Senior Python Developer
with strong expertise in
AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG)
. The ideal candidate will have a solid background in backend development, advanced Python programming, and hands-on experience building intelligent, scalable, and production-grade AI systems.

You will work closely with our engineering and product teams to design, develop, and optimize AI-driven applications, ensuring high performance, reliability, and accuracy.

Key Responsibilities

• Develop, optimize, and maintain
  Python-based AI/ML pipelines
  and backend services.
• Build and implement
  RAG pipelines
  , vector search workflows, and context retrieval systems.
• Integrate and fine-tune
  LLMs (OpenAI, Anthropic, Llama, Mistral, etc.)
  for production applications.
• Work with
  vector databases
  (Pinecone, Weaviate, Chroma, FAISS) to create efficient embedding stores.
• Design scalable APIs and microservices for AI-driven features.
• Implement prompt engineering, model evaluations, and LLM performance benchmarking.
• Optimize model inference speed, cost, and reliability.
• Work with cloud platforms (AWS / GCP / Azure) to deploy AI applications in production.
• Collaborate with cross-functional teams (ML engineers, frontend, product) to deliver robust solutions.
• Maintain code quality via version control, testing, and documentation.

Required Skills & Experience

• 4+ years of professional Python development experience
  (as a core language).
• Strong expertise with
  AI/ML
  , including working with LLMs and embeddings.
• Hands-on experience building
  RAG architectures
  :
• Chunking
• Embedding generation
• Vector search
• Context injection
• Hybrid retrieval (keyword + semantic)
• Experience with
  LLM providers/APIs
  :
• OpenAI
• Anthropic
• Cohere
• HuggingFace
• Familiarity with
  Python frameworks
  (FastAPI, Django, Flask).
• Experience with
  vector DBs
  (Pinecone, Weaviate, FAISS, Chroma).
• Good understanding of
  data structures, algorithms, and API development
  .
• Experience with
  Docker, CI/CD pipelines, and cloud infrastructure
  .
• Strong debugging, problem-solving, and architectural design skills.

Nice-to-Have Skills

• Experience with
  LangChain, LlamaIndex
  , or similar orchestration frameworks.
• Knowledge of
  model fine-tuning
  , LoRA, QLoRA, or prompt tuning.
• Experience building chatbot frameworks or agentic workflows.
• Background in
  NLP, vector similarity search, or distributed systems
  .
• Experience deploying models on
  GPU instances
  (AWS EC2, Lambda, Vertex AI, Azure ML).