Full-Stack Developer (AI Engineering)

Full-Stack Developer (AI Engineering) Job Specification | Skreen.ai * Job title: Full-Stack Developer (AI Engineering) * Company: Skreen.ai * Primary focus: Building AI-powered features — intelligent automation, voice AI, and smart search — across our recruitment platform * Seniority: Junior–Mid, individual contributor. First engineering hire alongside our CTO, with room to grow into a senior/ownership role as the team scales. Candidate profile summary We're looking for a full-stack developer who is genuinely excited about applied AI — someone who has already built solutions with LLMs, voice APIs, or coding agents (not just experimented with them), and who wants to bring that experience into a real product used by hundreds of companies. You'll work directly with our CTO, move fast, and have real ownership over features from idea to production. The Role Skreen.ai is hiring our first full-stack engineer to help build the next generation of AI-powered recruitment tools — smarter candidate screening, automated workflows, voice-driven interview experiences, and intelligent search across candidates and jobs. This is a hands-on, end-to-end role. You won't be handed fully-specced tickets — you'll work closely with the CTO to scope features, build them across the frontend and backend, and ship them to real customers quickly. Responsibilities (what you'll do) * Design and build AI-powered features end-to-end — from UI through to backend logic — across our web application. * Build and integrate voice AI experiences for candidate- and recruiter-facing interactions. * Develop LLM-powered functionality: prompt design, structured outputs, tool/function calling, and simple agentic workflows (e.g. automated screening, question generation, content generation). * Contribute to our smart search and matching capabilities as we extend the platform with semantic/AI-driven search. * Write tests, monitor the performance/cost of AI features in production, and iterate based on real usage. * Collaborate directly with the CTO and, as the team grows, help mentor future junior hires. Must-have skills and experienc * eDegree in Computer Science, Mathematics, Physics, Engineering, or a related quantitative/technical discipline; Master’s and/or PhD preferred * .~1-3 years of professional software development experience * .Real production experience building full-stack web applications (a modern frontend framework, e.g. React, plus a backend/API layer) * .Hands-on experience building features powered by LLMs — prompt engineering, structured/function outputs, memory/context management, guardrails, and tool-calling patterns (e.g. with OpenAI or similar providers) * .Comfortable working with relational/SQL databases (PostgreSQL) — schema design, queries, and data modelling * .Strong TypeScript/JavaScript fundamentals * .Clear written communication — able to explain technical trade-offs to a non-technical audience when needed . Nice-to-have skil * lsA self-starter who's comfortable with ambiguity and enjoys working closely within a small, fast-moving tea * m.Ability to use AI development tools effectively while personally owning correctness, security, maintainability, and production readines * s.Experience integrating third-party AI or voice APIs (e.g. ElevenLabs, Deepgram or comparable STT/TTS/voice platforms * ).Experience with automated testing and CI/CD pipeline * s.Familiarity with modern frontend tooling (e.g. Tailwind CSS, shadcn/ui, React Query, npm, bun, next.js * ).Experience with LangChain, LangGraph or a similar LLM orchestration framework for multi-step agent workflow * s.Experience with MCP (Model Context Protocol), tool registries, or similar protocol-based tool-access patterns for agent * s.Experience with Supabase or a comparable backend-as-a-service (auth, serverless/edge functions, storage * ).Exposure to Python for backend development, including frameworks and libraries such as FastAPI, SQLAlchemy and pydanti * c.Experience with vector/semantic search and embedding * s.Exposure to AWS infrastructure including EKS/Kubernetes, S3, EC2, RDS, CloudWatch, Secrets Manager, and containerised deployment (Docker) patterns or equivalent in GCP or Azur * e.Experience in recruitment-tech, HR-tech, or related SaaS product * s.Experience with authentication/authorisation, security, or compliance and data privacy practices (e.g. SOC 2, ISO 27001, GDPR ). Skreen (what we off er)Founded in 2024, Skreen.ai helps forward-thinking companies build diverse, high-performing teams through AI-powered insights — replacing biased, inefficient CV screening and painful interview scheduling with smarter, fairer tools. We already serve hundreds of companies worldwide, and we're investing heavily in AI to make hiring faster, fairer, and more hum * an.Sala ry: £40,000–£60,000, depending on experien * ce.Impa ct: You'll directly shape our AI features, engineering practices, and the team we build from he * re.Grow th: A clear path to a more senior/lead role as the engineering team scales (we're planning to grow from 1 to 4-5 engineers over the next phas * e).Working sty le: Mainly remote, with occasional visits to our Bath office for team get-togethers and planning sessio * ns.Holid ay: 25 days annual leave, plus bank holida * ys.Equipme nt: MacBook Pro provided, along with whatever else you need to do your best wo * rk.Too ls: Access to the latest AI coding and AI product tooling — you'll be encouraged to work at the frontier of how AI tools build AI produc ts.