AI Engineer

We are looking for a highly skilled and product-focused AI Engineer to build and scale next-generation AI-powered applications and services. The ideal candidate should have strong hands-on experience in GenAI, LLMs, RAG pipelines, and Agentic AI frameworks, along with solid software engineering fundamentals.
You will work closely with cross-functional teams to design, develop, and deploy AI-driven features into production-grade systems while ensuring scalability, reliability, and performance.
Responsibilities:
Design and develop AI-powered product features using LLMs, RAG pipelines, and Agentic AI frameworks.
Build scalable backend services and APIs for AI-based applications.
Integrate third-party and open-source AI models into production systems.
Develop and optimize retrieval pipelines, embeddings workflows, and vector search systems.
Work on prompt engineering, context handling, evaluation pipelines, and token optimization.
Collaborate with Data Science, Backend, and Product teams to productionize AI solutions.
Ensure reliability, observability, security, and scalability of AI services in production.
Implement logging, monitoring, feedback loops, and evaluation mechanisms for AI systems.
Contribute to reusable AI tooling, internal frameworks, and automation workflows.
Requirements:
3-6.5 years of software engineering / AI engineering experience.
Strong hands-on experience in Python, GenAI / LLMs, RAG (Retrieval-Augmented Generation), Prompt Engineering, Vector Databases, AI/ML APIs.
Hands-on experience with Agentic AI frameworks such as LangChain, LangGraph, and Multi-Agent workflows.
Strong understanding of: Embeddings, Context Engineering, Vector Search, Token Optimization, Evaluation Metrics, Latency & Cost Optimization.
Experience building and deploying AI-powered applications into production.
Good understanding of REST/gRPC APIs, Microservices, Queues, and Cloud Platforms.
Familiarity with OpenAI, Anthropic, or similar AI model providers.

Experience
3-5 yrs