Gen AI Engineer

We are seeking a full-stack GenAI engineer who will work directly with clients to design, build, and refine AI solutions in real time, addressing live business challenges rather than simply delivering code from a backlog. This role uniquely blends backend engineering expertise with applied artificial intelligence, requiring hands-on involvement throughout the project lifecycle and close collaboration with client stakeholders.

Key Responsibilities

- Design and develop production-grade GenAI systems, including multi-agent architectures, retrieval-augmented generation (RAG) pipelines over large-scale or enterprise document stores, and real-time systems integral to daily business operations.
- Build agentic systems capable of reasoning, retrieving information, and taking actions, moving beyond simple conversational AI.
- Collaborate directly with client stakeholders to translate ambiguous business problems into clearly defined, deployable AI use cases.
- Rapidly prototype and iterate on solutions while embedded with clients, shortening the feedback loop between concept and working implementation.
- Take full ownership of solutions from architecture and implementation through evaluation and handoff, rather than working solely from fixed specifications.
- Serve as a bridge between technical teams and business stakeholders by explaining trade-offs in accessible terms and translating business priorities into technical decisions.

Required Qualifications

- Strong expertise in GenAI, with hands-on experience in large language models (LLMs), prompt engineering, RAG techniques, agentic frameworks, and multi-agent system design. Comfortable working with multiple AI model providers.
- Proficiency in the core technology stack, including Python, FastAPI or Django, and cloud platforms such as Azure or AWS.
- Deep applied knowledge in complex areas such as permission-aware retrieval at scale, asynchronous task orchestration, and LLM evaluation and observability.
- Solid business acumen, with the ability to understand a client’s operating model and critically assess whether an AI use case delivers measurable value beyond technical innovation.
- A forward-deployed mindset, thriving in client-embedded roles that require comfort with ambiguity, direct client interaction, and rapid iteration cycles typical of forward-deployed engineering (FDE).
- Strong communication skills, capable of leading discovery sessions, presenting to leadership, and documenting decisions clearly and effectively.

This role offers the opportunity to work at the cutting edge of AI technology while engaging directly with clients to solve meaningful business problems. If you enjoy a dynamic environment where technical depth meets real-world impact, this position provides a unique platform to contribute and grow.