Forward Deployed Software Engineer

Forward Deployed Software Engineer role at Senovo IT Ltd, based in Poland. The role involves embedding with clients, building full-stack applications and AI-powered workflows, using agentic development tools, and coaching a less experienced engineer.

• Embed with client teams, pull requirements out of incomplete or shifting specs, and turn them into a working technical direction
• Do the majority of the hands-on build: applications, workflows, and interfaces across the full stack, from front end to back end, APIs, and integrations
• Use agentic development frameworks and AI coding assistants (Claude Code, Cursor, Copilot) to prototype and ship at engagement speed
• Stand up and integrate MCP servers and LLM-powered features that connect client data and tools to AI workflows
• Demo early and often, take feedback directly from stakeholders, and iterate in tight loops
• Coach the second engineer on your pod, teaching as you build and reviewing their work
• Set the architecture and make practical build-vs-buy and technology calls for each problem
• Promote reusable patterns back to the core platform where they generalize
• Keep quality fit for purpose: solid enough to prove value, with polish where it counts
• Plan for handoff or retirement of engagement-built software from the start

• Bachelor's Degree
• At least 4 years of experience
• Master's Degree preferred
• Using agentic development frameworks and AI coding assistants fluently to move faster
• Building with LLMs and MCP server architectures to wire client data and tools into AI applications
• Delivering against ambiguous, shifting requirements and reframing the problem when the first spec is wrong
• Staying hands-on as a senior engineer while coaching a less experienced teammate
• Working directly with non-technical stakeholders: demoing, aligning, and translating between technical and business concerns
• Listening closely to learn a new domain quickly and build what the client actually needs
• Using good judgment on architecture, build-vs-buy, and where to spend effort under time pressure
• Understanding responsible AI practices and sound data handling in client environments