Job Description

Roles & Responsibilities

We are looking for an experienced AI Engineer responsible for designing, developing, and deploying Generative AI and Agentic AI solutions that support enterprise-scale business use cases. This role includes building intelligent systems that integrate complex backend services and client-facing applications across web, mobile, and enterprise platforms.

The primary responsibility will be to design and develop AI-powered applications, autonomous agents, and multi-agent workflows, while coordinating with cross-functional teams across architecture, engineering, product, and business functions. Thus, a commitment to collaborative problem solving, sophisticated design, and product quality is essential.

KEY ACCOUNTABILITIES:

• Designing and building Generative AI applications using Large Language Models (LLMs)
• Developing Agentic AI solutions, including autonomous agents, multi-agent orchestration, and workflow-driven decision systems
• Building solutions using frameworks such as LangChain, LangGraph or similar agent frameworks
• Implementing RAG architecture with vector databases
• Knowledge of embeddings, vector DBs, and model evaluation.
• Implement various Context Engineering strategies to reduce Token Utilization & Latency.
• Implement RAG Strategies to reduce retrieval latency and answer relevancy.
• Prompt engineering, tool calling, memory management, and agent orchestration
• Integrating AI services with enterprise APIs, middle ware, and backend systems
• Evaluated & Improvise AI Agent Performance using several metrics
• Deploying scalable AI solutions on Azure / AWS cloud platforms.
• Working with model evaluation, guardrails, observability, and AI governance