Lead / Manager - AI Engineering

About the role

We are seeking GenAI and Agentic AI Engineering Hands-on Lead or a Manager with a focus on delivery, client excellence and innovation. As an experienced Agentic AI Engineer with deep expertise in LLM, Azure AI, Snowflake, and Machine Learning ecosystems, you are responsible to design and implement enterprise-grade AI solutions.

What you'll do

• Translate business needs into testable GenAI and Agentic Engineering solutions, clear outputs, and measurable success criteria
• Run feasibility assessments to choose the right approach: prompting vs RAG vs fine-tuning vs classical ML
• Select and develop models based on task requirements (reasoning vs extraction vs classification) working with AI Engineering to understand latency/cost, and risk profile
• Design prompting strategies: instruction design, few-shot sets, structured outputs, tool/agent prompts
• Establish prompt iteration methodology driven by evals (not anecdotal testing): prompt versioning, ablations, and change control

What you need

• 5–10 yrs of experience
• Machine learning
• Python
• LLMs
• Scikit-learn
• Snowflake
• AWS
• Any graduate

Good to have

• Prompt engineering
• ETL
• PyTorch
• TensorFlow
• Azure
• MLOps