Recruiter for this role:
Britney Dias
Key Responsibilities
· AI Feature Design & Delivery – Design, build and run AI powered features using large language models, translating product ideas into reliable, scalable production systems that deliver measurable impact.
· LLM Integration & System Architecture – Integrate LLMs into existing applications and services, shaping backend architectures and APIs that balance performance, cost, security and maintainability.
· Prompt Engineering & Model Optimisation – Develop, test and refine prompt strategies to improve model accuracy, safety, latency and cost efficiency across different use cases.
· Hands-On Engineering – Build and maintain backend services and APIs using TypeScript and contemporary frameworks, contributing clean, well documented and maintainable code aligned with engineering best practice.
· Cross-Functional Collaboration – Work closely with product, data and design partners to identify high value AI opportunities and shape solutions that are feasible, testable and aligned to user needs.




· Evaluation & Monitoring – Define and implement evaluation approaches for LLM based systems, including logging, metrics and experimentation, to continuously improve quality and reliability in production.
· Scalable AI Patterns – Contribute to shared approaches, architectural patterns and standards for building AI driven features across the platform.
· Risk, Privacy & Cost Awareness – Make informed engineering decisions that consider data privacy, model risk, operational resilience and commercial constraints.
· Continuous Learning & Innovation – Stay current with emerging AI technologies, tools and techniques, proactively recommending improvements that enhance outcomes for users and teams.
Knowledge, skills and experience required
Our tech stack includes Typescript (Node.js and React), AWS, Kubernetes, DataDog, GraphQL, PostgreSQL, Mongo, and Kafka.
We’re looking for someone who brings:
· A strong foundation in software engineering, wi

📌 AI Engineer (Mumbai)
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