Senior AI Engineer

About the Role We are seeking an experienced Senior AI Engineer to design, develop, and deploy enterprise-grade AI solutions leveraging Large Language Models (LLMs), Generative AI, Machine Learning, and Agentic AI technologies. The ideal candidate will have strong software engineering fundamentals, hands-on experience building production AI systems, and the ability to translate complex business requirements into scalable, reliable, and secure AI solutions.

Key Responsibilities • Design and develop scalable, production-ready AI applications for enterprise use cases. • Develop and integrate solutions using leading LLM platforms, including OpenAI, Azure OpenAI, Gemini, Claude, and Llama. • Design and implement AI agents using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, and MCP. • Architect and develop Retrieval-Augmented Generation (RAG) solutions using vector databases and advanced retrieval techniques. • Develop REST APIs, microservices, and backend services supporting AI applications. • Integrate AI capabilities with enterprise applications, platforms, and business workflows. • Optimize AI systems for performance, scalability, reliability, cost, and latency. • Implement MLOps practices, CI/CD pipelines, monitoring, evaluation, and observability for production AI systems. • Contribute to system architecture, technical design, and engineering standards. • Conduct code reviews and mentor junior engineers. • Collaborate with product, engineering, and business stakeholders to deliver high-quality AI solutions.

Required Qualifications • Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related discipline. • 5–7+ years of professional software engineering experience. • 3+ years of hands-on experience in AI/ML development. • Strong proficiency in Python and backend application development. • Strong understanding of LLMs, Generative AI, RAG, Machine Learning, and AI Agent architectures. • Experience designing and deploying production-grade AI applications. • Strong understanding of software architecture, APIs, databases, and distributed systems.

Technical Skills • Programming: Python, SQL, JavaScript/TypeScript • LLMs & Generative AI: OpenAI, Azure OpenAI, Gemini, Claude, Llama • Agentic AI: LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen, MCP • Machine Learning: Scikit-learn, TensorFlow, PyTorch • Cloud & MLOps: Azure AI Foundry, Azure ML, Docker, Kubernetes, GitHub, Azure DevOps • Databases: PostgreSQL, MongoDB, Cosmos DB, Vector Databases • Backend: REST APIs, Microservices

Preferred Qualifications • Experience developing and deploying enterprise AI solutions. • Knowledge of Responsible AI, AI governance, and security considerations. • Experience with Graph Databases and Document Intelligence. • Experience integrating AI solutions with ERP, CRM, or other enterprise platforms. • Experience working with cloud-native architectures and distributed systems.

Key Competencies • Strong analytical and problem-solving abilities. • Excellent communication and collaboration skills. • Strong ownership and accountability. • Ability to work effectively in cross-functional teams. • Ability to mentor engineers and contribute to technical decision-making. • Strong focus on engineering quality, scalability, and maintainability.

Success Measures Success in this role will be measured by: • Delivery of reliable, production-ready AI solutions. • Scalability, performance, and maintainability of AI systems. • Optimization of model cost and latency. • Quality and timeliness of technical delivery. • Customer and stakeholder satisfaction. • Contribution to engineering standards and team capability development. ***Immediate joiners preferred****