Proxify
Forward Deployed AI Engineer
- Location
- SwedenStockholm, Sweden; Stockholm preferred in the role copy.
- Work setup
- Hybrid
- Employment
- Full-time in official JobPosting metadata; contract duration not stated.
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At a glance
Build AI agents inside client environments and own the journey from scoped brief to production. Set technical direction and lead project engineers across complex data, integration and security constraints. Around 80% of the week is hands-on engineering. Work spans several client builds, with occasional site visits and a practical AI assessment in the hiring process.
The work
- Turn scoped briefs into agentic systems running in client environments, end to end.
- Set technical direction and lead Proxify engineers on each project.
- Investigate client architecture, data, integrations and security constraints.
- Act as the day-to-day technical contact and communicate progress and technical decisions.
- Keep several projects moving and escalate scope changes to the product manager.
Core Stockholm team delivering AI agents for external clients. Around 80% hands-on building and 20% client updates and collaboration. The Senior AI Product Manager owns discovery, commercials and scoping; this role owns technical calls and implementation. Project engineering leadership is explicit; line management is not.
What you bring
- Required: 5+ years in software engineering, with a background in computer science, machine learning and generative AI.
- Required: a track record shipping LLM, RAG and agentic systems to production and keeping them running.
- Required: hands-on RAG pipelines including vector databases, streaming and multi-tenancy, multiple LLM providers, and frameworks such as LangChain, vLLM and PyTorch or TensorFlow.
- Required: strong Python, version control, testing, code review and containerized deployments on AWS, GCP or Azure.
- Required: ability to work inside unfamiliar codebases and client stacks, consultative problem solving and self-direction.
- Required: professional English and ability to lead client conversations and explain technical decisions.
- Preferred: side projects, open source or agent experiments.
- Preferred: real experience with LangGraph, CrewAI, AutoGen or the OpenAI Agents API.
- Preferred: startup or scale-up experience.
Practical details
- Work setup
- Hybrid; office attendance frequency and remote eligibility outside Sweden are not stated
- Salary
- Amount not disclosed.
- Language
- Professional English required; no Swedish requirement stated.
- Travel
- Occasional client site visits.
- Selection
- Talent Acquisition call, hiring manager interview, practical AI engineering assessment, final interview.
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