Responsibilities:

AI & LLM Engineering

Build and maintain LLM pipelines, model integrations, and inference workflows.

Develop APIs and microservices that interact with AI/ML models.

Optimize model performance, latency, and throughput for production use.

Backend Development

Architect, design, and implement scalable backend systems for AI products.

Create robust RESTful/GraphQL APIs and internal services.

Ensure high system performance, uptime, monitoring, and logging.

Infrastructure & System Design

Work with cloud platforms (AWS/GCP/Azure) for deployments.

Implement CI/CD pipelines, containerization (Docker, Kubernetes), and automation.

Manage databases (SQL/NoSQL) and distributed system components.

Collaboration & Leadership

Collaborate with cross-functional teams (AI, product, frontend).

Provide technical leadership, code reviews, and mentorship to junior developers.

Take ownership of end-to-end features from design to deployment.

Technical Skills:

410 years of backend development experience.

Strong skills in Python / Node.js.

Hands-on experience with:

LLM integrations, AI APIs, or conversational AI workflows.

Distributed systems, microservices, and event-driven architecture.

Databases like MongoDB, Redis, etc.

Cloud platforms (AWS/GCP/Azure).

Experience with system scaling, performance tuning, and production architecture.

Strong problem-solving skills and ownership mindset.

conversational AI developer