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Salary: GBP 56,000 - 132,000 / annual
Invisible Technologies is an AI platform company that structures messy data, automates digital workflows, deploys agentic solutions, and integrates human expertise. The company is profitable, reached $134M in revenue, and ranked #2 fastest-growing AI company on the 2024 Inc. 5000 list. In September 2025, they raised $100M in growth capital.
As a Software Engineer, Forward Deployed (FDE), you will work directly with clients and internal delivery teams to build and deploy AI-powered solutions that transform how work gets done. You'll own projects end-to-end: scoping ambiguous problems, prototyping AI workflows, and deploying scalable systems on top of Invisible's platform—all while interfacing with technical and non-technical stakeholders.
This hybrid role combines AI engineering, software building, and technical consulting. You'll be hands-on with models and close to the impact they generate.
Key Responsibilities:
- Collaborate with delivery leaders to scope technical solutions to operational problems
- Identify workflow optimizations through deep engagement with customer problems and build them into stable, scalable solutions
- Design and implement AI-powered workflows using LLMs, embedding models, retrieval systems, and automation tools
- Translate messy real-world constraints (inconsistent data, latency requirements) into elegant engineering solutions
- Iterate quickly based on real-time feedback from operators and clients
- Build reusable tooling and infrastructure that accelerates future deployments
The role is based in London (hybrid) and requires 25–50% travel for on-site client engagements. You'll be on-call for customers when situations arise.
Requirements:
- Hands-on experience in software engineering or ML engineering through professional roles, internships, or coursework/research projects
- Strong Python skills and familiarity with libraries such as PyTorch, Hugging Face, LangChain, or OpenAI APIs
- Solid understanding of data pipelines, APIs, and production deployment (e.g., Docker, FastAPI, GCP/AWS)
- Experience building usable systems from messy data and ambiguous requirements
- Strong communication skills—ability to explain technical decisions to delivery teams and client stakeholders
- Entrepreneurial mindset and comfort working in fast-moving, unstructured environments
- Willingness to be on-call for customers
- Ability to travel 25–50% of the time for on-site client engagements
