Python Developer

Senior Python + GenAI Engineer
Location: Remote
Experience: 6+ Years
About the Role
We are looking for a highly skilled Senior Python + GenAI Engineer with strong backend engineering expertise and hands-on exposure to modern Generative AI technologies.
The ideal candidate should have deep experience in Python development, FastAPI, asynchronous programming, microservices architecture, and scalable API development, along with practical exposure to GenAI technologies such as Agentic AI, LangChain, RAG pipelines, LLM integrations, and conversational AI systems.
This role is best suited for engineers who have built production-grade backend systems and have actively worked on AI-powered applications, chatbots, or intelligent automation platforms.
Key Responsibilities
Design and develop scalable backend systems using Python and FastAPI
Build high-performance REST APIs and microservices architectures
Develop asynchronous and event-driven backend applications
Create scalable and maintainable AI-integrated backend platforms
Build and integrate GenAI-powered applications and AI workflows
Develop conversational AI systems, chatbots, and AI assistants
Implement RAG (Retrieval-Augmented Generation) pipelines
Integrate LLMs such as GPT, Claude, Gemini, and open-source models
Work on Agentic AI workflows using LangChain and related frameworks
Optimize system performance, scalability, reliability, and latency
Deploy and manage applications on AWS cloud infrastructure
Collaborate with product, backend, AI, and DevOps teams
Required Skills
Python Backend Development
Strong Python programming expertise
Hands-on experience with FastAPI
Strong understanding of asynchronous programming
Experience with microservices architecture
REST API development
Software architecture and design patterns
Scalable backend application development
Generative AI / LLM
Minimum 2+ years of hands-on GenAI exposure
Experience with LangChain, Vector Db
Experience building RAG pipelines
Exposure to Agentic AI / AI Agents
LLM integrations (OpenAI, Claude, Gemini, open-source models)
Prompt engineering concepts
Conversational AI / Chatbot development
Context and memory handling concepts
Cloud & Infrastructure
Hands-on AWS cloud exposure
Understanding of scalable cloud-native applications
Docker exposure preferred
CI/CD understanding preferred
Nice to Have
Conversational AI platform experience
Voicebot or chatbot implementation exposure
AI observability exposure
Multi-agent AI workflow exposure
Experience with vector databases and semantic retrieval systems
Why Join Us
Work on cutting-edge GenAI and Agentic AI platforms
Exposure to enterprise-scale AI applications
Collaborative AI-first engineering environment
Opportunity to work on modern backend and AI architectures
Flexible work environment and strong growth opportunities