
Lead AI Product Engineer
Solvd, Inc.
full-time
Posted on:
Location Type: Remote
Location: Poland
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Job Level
Tech Stack
About the role
- Partner with Pre-sales, GTM, and product discovery teams to define the right problem, success criteria, and constraints.
- Break ambiguous client needs into focused increments deliverable in days, each with a clear hypothesis to test.
- Deliver end-to-end increments by combining your own work, team delegation, and coding agents working in parallel.
- Own final quality. Agents accelerate the work, but you're accountable for what ships.
- Evolve our tooling and workflows so the team ships faster each month.
- Spot patterns across client work and turn them into reusable building blocks.
- Define handoff standards when increments mature into v1 products or move to delivery teams.
- Mentor builders toward high ownership, pragmatic shipping, and continuous reuse.
- Create a culture where speed comes from better systems, not longer hours.
Requirements
- Strong full-stack engineering ability. You’ve shipped end-to-end solutions independently, not just contributed to pieces.
- Fluency with coding agents and LLM tooling. Daily use of coding agents, experience with multi-agent orchestration, context engineering, and LLM APIs.
- Curiosity and creativity. Side projects, experimentation, connecting dots others miss, staying current with a space that changes weekly.
- Clear communication with non-technical stakeholders. You can frame problems, explain tradeoffs, and keep clients aligned without jargon.
- Problem discovery instincts. You know how to ask the right questions, identify problems worth solving, and push back when a client's assumed solution isn't the real answer.
- Client-facing confidence. You can run demos, navigate feedback, and hold your own in client conversations.
- Comfort with ambiguity, speed, and context switching. You thrive with tight timeboxes, imperfect information, and multiple projects in flight. You can shift gears between different client problems without losing momentum.
- Product and UX sensibility. You build things that are coherent and usable, not just technically correct.
- Familiarity with enterprise constraints: identity/permissions, secure data handling, integration complexity.
Benefits
- Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation.
- Be part of a global team with equal opportunities for collaboration across continents and cultures.
- Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
full-stack engineeringend-to-end solutionscoding agentsmulti-agent orchestrationcontext engineeringLLM APIsproblem discoveryproduct developmentUX designsecure data handling
Soft Skills
clear communicationclient-facing confidencecuriositycreativityproblem-solvingmentoringadaptabilityteam collaborationownershipspeed in delivery