Auto-apply is a Pro feature

Let Findyet apply to this job for you:

  • Your CV is tailored to this posting.
  • The application form's questions are answered from your profile.
  • You review everything and approve before anything is sent.
  • Findyet submits the application and adds it to your tracker.

Available on Greenhouse postings today, up to 3 applications a day on Pro.

The first 100 verified accounts get Pro free for 90 days.

See plans

EaseOps

New

Backend Engineer (Gen AI)

Posted Updated
Discussion

Summary

Designs and builds backend APIs and services for a Gen AI platform using Python, FastAPI, PostgreSQL, Redis, and AWS, integrating LLM APIs (OpenAI, Anthropic, Bedrock) and implementing RAG, vector search, and caching for AI workloads.

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
  • Ability to write unit and integration tests
  • Strong problem-solving skills and attention to detail

Nice to Have

Understanding of microservices architecture Experience optimizing LLM costs and implementing smart caching strategies

What We Offer

  • Competitive salary and equity package
  • Flexible work arrangements
  • Modern tech stack and cutting-edge AI tools
  • Opportunity to shape our technical direction in the AI space
  • Fast-paced startup environment where your work matters
  • Work on real-world AI applications that impact users

Skills

Apply

See also

Backend jobs by country — openings, pay and top skills →

Tailor your CV for this role?

We couldn't check your fit for this role — add a CV to your profile to see it next time.