Lead AI/ML Engineer

What success looks like in this role:
• Works closely with cross-functional project team members to ensure an integrated approach to AI / ML model application.
Leading the design and development of Generative AI applications leveraging LLMs, embeddings, vector databases, RAG, and multi-agent frameworks
• Works with AI Engineers, AI experts and associated operations and other technical personnel to deliver end-to-end solutions designed to enhance user experience and deliver superior results.
• Collaborates on the definition of AI / ML model development and application standards.
• Employs creative and leading-edge thinking to reconcile end user requirements with technical feasibility and business viability.
• Collaborates with model builders and recommends architectures to ensure timely and quality service delivery.
• Provides targeted feedback and peer review for AI / ML and allied team members.
• Leverages current understanding of AI / ML and software engineering to transform ideas into specific model, development and product recommendations.
#LI-LS1
You will be successful in this role if you have:
BS/BE Degree with 8+ years of relevant experience.
Strong hands-on experience with Large Language Models (LLMs) and their application in agent-based and autonomous systems.
Solid understanding of Agentic AI concepts, including planning, reasoning, and multi-agent collaboration.
Solid understanding and hands-on experience agent orchestration frameworks and AI tooling ecosystems (e.g., CrewAI).
Proficiency with Azure AI Services, including Azure OpenAI, Azure AI Doc Intelligence, Translator, etc
Strong understanding of Azure OpenAI GPT models, including capabilities, limitations, prompt engineering, function calling, tool use, and structured outputs.
Strong programming skills in Python, with experience integrating AI services, APIs, and data pipelines.
Proficiency in back-end development using Python, and/or Golang, with a focus on API-driven architecture.
Experience with databases such as PostgreSQL, and familiarity with vector databases.
Working knowledge of at least one front-end framework such as React or Angular for UI
Hands-on experience with cloud-native development, containers, and microservices.
Demonstrated experience in cluster using Kubernetes, Docker, Helm & platforms like Rancher
Familiarity with UI/UX tooling such as Figma for rapid prototyping and design collaboration.
Cloud certifications (Azure Developer, Azure AI Engineer, or equivalent) are an added advantage.
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