We are seeking a highly skilled AI Engineer with strong hands-on experience in building, deploying, and scaling LLM-powered applications. The ideal candidate will have deep expertise in Python-based backend development and proven experience working with agent frameworks, API services, and AI orchestration pipelines.

This role involves designing intelligent systems that integrate large language models into real-world production workflows.

Key Responsibilities :

AI & LLM Engineering :

- Design, develop, and integrate LLM-powered systems using modern frameworks.

- Build intelligent agent workflows for reasoning, tool usage, memory, and orchestration.

- Implement prompt engineering, model evaluation, and inference pipelines.

- Optimize LLM workflows for performance, reliability, and cost.

Backend Development :

- Develop robust, scalable backend services using Python and FastAPI.

- Build secure and high-performance APIs and gateways.

- Handle async execution, background tasks, and API orchestration.

- Integrate AI services with existing data pipelines and systems.

Architecture & Delivery :

- Design production-grade AI architectures and microservices.

- Collaborate with product, frontend, and DevOps teams to deliver end-to-end solutions.

- Ensure reliability, monitoring, logging, and observability of AI services.

- Participate in code reviews, design discussions, and technical decision-making.

Required Skills & Experience :

Core Requirements :

- 5+ years of backend development experience.

- 1- 2+ years of hands-on experience working with AI/LLM systems.

- Strong proficiency in Python for backend and AI workflows.

- Hands-on experience with FastAPI (API design, async execution, services).

- Experience with LangChain and LangGraph (agents, tools, memory, orchestration).

- Strong understanding of LLM integration (prompting, orchestration, evaluation).

AI & Data Skills :

- Experience in building and deploying AI pipelines in production.

- Understanding of model evaluation, prompt optimization, and guardrails.

- Familiarity with vector databases and retrieval-based systems (nice to have).

Interview Process :

- HackerRank Assessment

- Technical Round(s) (1-2 rounds)

- HR Round

Why Join Us :

- Work on cutting-edge AI and LLM-powered products

- Opportunity to design real-world agent-based AI systems

- Competitive compensation and growth opportunities

- Collaborative, fast-paced engineering environment