
Overview
Job Title: Senior Backend / Python Developer – AI & GenAI Systems
Location: Chennai/Remote
Employment Type: Full-time
Experience Level: 5+ years (Senior Level)
About the Role
We are seeking a Senior Backend / Python Developer to join our cross-functional team of AI engineers and GenAI data scientists. You will be responsible for building and maintaining scalable backend systems that power intelligent applications—ranging from model inference APIs to retrieval-augmented generation (RAG) pipelines and data transformation workflows.
This role requires real-world, hands-on experience with FastAPI, Docker, and AWS, along with a strong foundation in backend systems, data engineering, and collaboration with AI/ML teams.
Key Responsibilities
1. Design and implement high-performance REST and WebSocket APIs using FastAPI
2. Collaborate with AI and data science teams to serve models and orchestrate GenAI workflows
3. Build robust microservices and deploy them using Docker on AWS (ECS, Lambda, EC2, S3, etc.)
4. Develop and optimize data ingestion, transformation, and delivery pipelines
5. Design backend components for RAG architectures, chat systems, and vector search integrations
6. Use Redis, where appropriate, for caching, pub/sub, or task queues (optional but preferred)
7. Monitor and tune system performance, latency, and fault tolerance in production environments
8. Work in an agile development cycle with code reviews, CI/CD, and test coverage
9. Document and communicate backend designs and decisions clearly within a team
Required Skills & Experience
1. 5+ years of backend development experience with Python in production environments
2. Strong experience with FastAPI or similar async frameworks (e.g., Starlette, Sanic)
3. Deep proficiency with Docker and modern cloud deployments on AWS
4. Solid understanding of RESTful API design, asynchronous programming, and API performance tuning
5. Familiarity with SQL and NoSQL databases (e.g., PostgreSQL, DynamoDB, etc.)
6. Experience integrating with AI/ML pipelines or deploying GenAI systems in real-world applications
7. Good software engineering practices: testing, logging, monitoring, and CI/CD
8. Effective communicator and team player, able to work cross-functionally with AI/ML engineers
Nice to Have
1. Experience using Redis for caching, streaming, or message brokering
2. Background in data engineering (ETL/ELT pipelines, large-scale data handling, Airflow/Dask)
3. Familiarity with vector databases (Qdrant, FAISS) and LLM APIs (OpenAI, HuggingFace, Ollama)
4. Exposure to event-driven architectures, async task queues, or pub/sub systems
5. Knowledge of infrastructure-as-code tools like Terraform or AWS CDK
6. Prior contributions to AI-centric applications such as chatbots, search systems, or recommendation engines
What We Offer
1. Work on cutting-edge systems at the intersection of backend engineering and Generative AI
2. High-impact role in a collaborative, research-driven, and product-focused team
3. Competitive compensation, flexible hours, and a remote-friendly culture
4. Opportunities for continuous learning and hands-on experience with advanced AI tooling
5. A flat, fast-paced environment where your contributions directly shape product and architecture
Job Types: Full-time, Permanent
Pay: ₹857,194.25 - ₹2,066,234.00 per year
Benefits:
- Health insurance
- Provident Fund
- Work from home
Work Location: In person