AI Engineer

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

Desired Candidate Profile

Bachelor's degree in Computer Science, Engineering, or a related field. Senior professional with around 10 years of experience. 3+ years of relevant experience in AI Engineering Working experience in an agile software development environment with a good understanding of the principles of agile architecture. Strong collaborative mindset for collective decentralized decision making. Demonstrate strong technical skills with a deep understanding of modern architectural styles and practices such as Microservices, Containers, Cloud (AWS, Azure), APIs, Continuous Delivery, Event-driven architecture, Evolutionary architecture, etc., with a passion for hands on coding. Strong foundation knowledge of software architecture concepts, patterns, principles, and quality attributes. Ability to consistently apply them in real-world scenarios with a pragmatic, system thinking, and problem-solving mindset by analyzing architecture trade-offs for delivering high-quality, sustainable solution architecture. Proven leadership skills with a proactive, positive, and growth mindset. Ability to foster and motivate programmers for delivering with craftsmanship. Good personal skills to continuously engage and communicate with an egoless empathetic mindset. Experience and expertise in delivering architecture for large software solutions meeting critical business purposes. Ability to proactively discover technical debts and continuous improvement opportunities of existing live systems. Work closely with the product owner and enterprise architects to influence and prioritize technical backlog items.