Role Overview
We are looking for a Senior AI Engineer to lead identification, structuring, and solutioning of AI/GenAI use cases, working closely with stakeholders to translate business problems into scalable AI solution approaches.

Key Responsibilities
•Lead problem discovery and use-case identification across client or internal contexts
•Define solution approaches using AI/ML/LLMs, balancing feasibility, impact, and scalability
•Build and guide prototypes / POCs to validate solution hypotheses
•Design LLM-based applications, including prompt strategies, orchestration, and evaluation
•Collaborate with stakeholders to refine requirements and align on solution direction
•Work closely with delivery teams to ensure smooth transition from prototype to production
•Contribute to playbooks, frameworks, and reusable solution patterns
•Mentor junior engineers and drive structured thinking in problem-solving

Required Skills
•Strong experience in Python and ML/DL frameworks (PyTorch / TensorFlow)
•Hands-on experience with LLM applications and APIs
•Ability to translate ambiguous problems into structured solutions
•Strong understanding of AI solution design and trade-offs

Good to Have
•Experience with LangChain or similar orchestration frameworks
•Familiarity with MLflow or experimentation tracking tools
•Exposure to Docker / Kubernetes (from a feasibility lens, not deep infra)
•Awareness of CI/CD workflows

What We’re Looking For
•Strong problem structuring and solutioning ability
•Ability to operate in ambiguous, exploratory environments
•Comfort with stakeholder interaction and iterative refinement
•Balance of technical depth and practical application thinking