Backend Engineer (Gen AI)

Compensation: ₹1.2L – ₹1.8L • No equity

About Us

We're a fast-moving startup building innovative Gen AI solutions that scale. We're looking for a talented backend engineer who thrives in a dynamic environment and wants to make a real impact in the AI space.

The Role

We're seeking a Backend Engineer with Gen AI expertise to design, build, and maintain the core systems that power our AI-driven platform. You'll work closely with our product and engineering teams to create robust, scalable APIs and services that integrate cutting-edge language models and deliver exceptional performance.

What You'll Do

• Design and develop RESTful APIs using Python and FastAPI for AI-powered applications

• Integrate and optimize LLM APIs (OpenAI, Anthropic, AWS Bedrock, etc.)

• Build prompt engineering pipelines and manage context windows effectively

• Implement vector databases and semantic search capabilities

• Build and optimize PostgreSQL database schemas, queries, and migrations

• Implement and maintain authentication and authorization systems (JWT, OAuth 2.0, session management)

• Design and implement Redis caching strategies for LLM responses and high-performance data access

• Deploy and manage services on AWS (EC2, RDS, ElastiCache, S3, Lambda, Bedrock)

• Develop RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines

• Implement streaming responses and async processing for AI workloads

• Monitor LLM performance, costs, and implement usage tracking

• Write clean, maintainable, and well-tested code

• Collaborate with frontend engineers to define API contracts and integration patterns

• Implement security best practices including rate limiting, input validation, and secure token management

• Participate in code reviews and contribute to engineering standards

What We're Looking For

• 1+ years of professional backend development experience

• Already completed graduation

• Strong proficiency in Python and modern async frameworks (FastAPI preferred)

• Hands-on experience integrating LLM APIs (GPT-4, Claude, Llama, etc.)

• Understanding of prompt engineering, context management, and token optimization

• Solid understanding of PostgreSQL, including query optimization and database design

• Experience with version control (Git) and collaborative development workflows