AI Engineer

Unify Consulting is a leading AI management consulting firm designed to help clients overcome challenges and achieve their goals through an agile, modular, and bespoke approach. We’re a collective of curious, seasoned consultants who build meaningful connections and deliver with purpose and authenticity. Why we’re hiring Demand for GenAI and Agentic AI solutions is accelerating across our client pipeline, and we’re proactively building a strong bench of AI Engineers who can help architect, build, and scale real production systems — not demos. The Role As an AI Engineer (GenAI / Agentic AI) , you’ll design and build LLM-powered applications and agentic systems that plan, reason, and take action — often by securely interacting with enterprise systems and APIs. You’ll work across discovery → rapid prototypes → pilot and scale, with a strong emphasis on quality, safety, latency, cost, and user feedback loops . Location Requirement Candidates must currently reside in the Greater San Francisco, Greater Seattle, Greater Chicago, or DFW metro areas. Relocation (now or in the future) is not supported for this role. Please note: We are unable to sponsor or transfer visas for this position . You must be authorized to work in the United States for any employer without requiring sponsorship or visa transfer now or in the future. Please no resumes from third-party agencies or recruiters What We're Looking For (Must-Have) 1–2+ years hands-on GenAI / Agentic AI experience building LLM apps on enterprise platforms (AWS Bedrock / Vertex AI / Azure AI platforms) in a professional setting. Strong backend engineering experience (Python preferred) delivering production-grade systems. Hands on professional experience with RAG patterns and implementation. Ability to communicate clearly and contribute in fast-moving, cross-functional teams. Computer Science / strong CS fundamentals Levels We’re hiring across multiple levels (entry/junior through senior/principal). How You’ll Work You’ll collaborate in agile delivery pods alongside product, architecture, engineering, and ops roles to build and scale agentic AI solutions. Projects may include discovery workshops, rapid prototyping, and production pilots with measurable outcomes. Apply Send your application (or resume) and include: 1–2 examples of LLM apps/agentic systems you built (even internal or side projects) The platform(s) you used (e.g., Bedrock / Vertex / Azure) and how you handled RAG, evaluation, and production concerns