Backend Developer & LLM Engineer (AI-Driven, Agentic Workflows)

Super Claims is an AI-powered health tech startup transforming insurance claim processing—cutting down manual work and turning hours-long processes into minutes using automation, intelligent agents, and structured data pipelines.

We're looking for a Backend Developer who thrives at the intersection of AI tooling and systems engineering. If you’re someone who uses tools like Cursor, Claude, GPT-4, and Lang Graph to move fast, build smart, and solve complex backend challenges with minimal hand-holding, this is for you.

What You’ll Work On:

• Design and implement scalable backend systems that support agentic workflows
• Build modular agentic pipelines using frameworks like Lang Graph, CrewAI, AutoGen, etc.
• Integrate LLMs and AI tools directly into production APIs
• Work closely with the founder and AI team to automate insurance workflows
• Write clean, testable code with an eye for simplicity and speed
• Deploy and monitor systems in a real-world environment (TPAs, hospitals, insurers)

Who We’re Looking For:

• Strong grasp of Python (Fast API, Lang Chain, async frameworks)
• Hands-on experience with LLMs and tools like GPT-4, Claude, and Mistral
• Experience using AI-first developer tools (e.g., Cursor, GPT Copilot, Cody)
• Interest in building multi-agent systems, memory, stateful execution, and orchestration
• Comfortable with microservices, APIs, and asynchronous programming
• High agency, fast learner, and someone who loves to ship
• Bonus if you have:
• Experience with ETL pipelines, vector stores, and document processing
• Exposure to healthcare, insurance, or finance domains
• Familiarity with tools like Redis, PostgreSQL, Docker.

What We Offer:

• Ownership and autonomy from Day 1
• Access to cutting-edge AI tools and real-world use cases
• Direct mentorship from the founding team
• Opportunity to shape the core architecture of a fast-growing AI company
• Flexible working model with performance-based equity possibilities

Job Type: Full-time

Pay: ₹400,000.00 - ₹500,000.00 per year

Work Location: In person