About You
You are a technical leader and client-focused consultant who enjoys turning complex, ambiguous problems into robust, production-ready agentic systems. You are opinionated and prescriptive about how good agents are built, comfortable working across data, infrastructure, and application layers, and energized by a zero-to-one environment where you are the technical bar. You thrive in an outcomes-driven environment, partnering with clients to engineers to design and build architectures that are performant, secure, scalable, and maintainable.
Required Qualifications Experience
6+ years of experience as an AI Engineer, Machine Learning Engineer, Software Engineer, or Data Engineer building and deploying production AI/ML solutions, including recent hands-on experience building LLM-powered or agentic applications.
Technical / Functional Skills
- Hands-on understanding of Large Language Models, agentic architectures, and retrieval frameworks (RAG), including prompt design, context engineering, and tool/function calling
- Experience with LLM orchestration frameworks (e.g. LangChain, LlamaIndex) and the broader agentic stack, such as multi-agent patterns, memory, planning, and protocols (e.g. MCP)
- Experience designing evaluation, guardrail, and observability strategics for LLM and agent systems (LLMOps/AgentOps)
- Hands-on experience in modern programming languages, such as Python, including developing APIs
- Deep expertise in cloud-native AI/ML platforms (e.g. AWS Bedrock and SageMaker, Azure AI/ML, Snowflake Cortex) with proven experience deploying solutions into production
- Complete software development lifecycle experience including design, documentation, implementation, testing, deployment, and ongoing operations
- Demonstrated use of AI-assisted development tooling to accelerate delivery while maintaining quality
- Strong working knowledge of SQL and the ability to write, debug, and optimize complex and distributed queries.
Consulting / Delivery Skills
- Experience delivering projects for external or internal clients in a professional services or consulting environment, ideally in a fixed-bid capacity.
- Ability to break down ambiguous problems into structured, actionable steps and drive them through to completion. ● Excellent written and verbal communication English., with experience presenting technical solutions to clients and facilitating discussions with both technical and business stakeholders.
Education
- Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience preferred.
