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Salary: GBP 110,000 - 162,000 / 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, ranked #2 fastest-growing AI company on the 2024 Inc. 5000, and recently raised $100M in growth capital.
As a Senior Software Engineer, Forward Deployed Engineer (FDE), you will work directly with clients and internal delivery teams to build and deploy AI-powered solutions that transform how work gets done. This hybrid role combines AI engineering, software development, and technical consulting. You will own projects end-to-end: scoping ambiguous problems, prototyping AI workflows, and deploying scalable systems on top of the company's products while interfacing with technical and non-technical stakeholders.
Key responsibilities include:
- Collaborating with delivery leaders to scope technical solutions to operational problems
- Identifying workflow optimizations through deep engagement with customer problems and building stable, scalable solutions
- Designing and implementing AI-powered workflows using LLMs, embedding models, retrieval systems, and automation tools
- Translating messy real-world constraints (inconsistent data, latency requirements) into elegant engineering solutions
- Iterating quickly based on real-time feedback from operators and clients
- Building reusable tooling and infrastructure that accelerates future deployments
- Being on-call for customers when situations arise
- Traveling for on-site client engagements as needed
- Working from the office a few days per week depending on team needs
The role is ideal for someone who wants to be hands-on with models and close to the impact they generate. Invisible operates at the intersection of advanced AI and human ingenuity, emphasizing ownership, bold ideas, and the ability to turn ambiguity into opportunity.
REQUIREMENTS:
- 6+ years of software engineering experience, including significant time spent building data, ML, or backend systems
- Deep proficiency in Python with hands-on experience using Hugging Face, LangChain, OpenAI, Pinecone, and related ecosystems
- Skilled in full-stack and API-based deployment patterns, including Docker, FastAPI, Kubernetes, and cloud environments (GCP, AWS)
- Experienced with workflow orchestration libraries, pub/sub systems (Kafka), and schema governance
- Expertise in data governance and operations, including Unity Catalog and policy management, cluster/job orchestration, data contracts and quality enforcement, Delta/ETL pipelines, and replay processes
- Strong product and system design instincts; ability to understand business needs and translate them into technical architecture
- Experience building usable systems from messy data and ambiguous requirements
- Excellent communication and client-facing skills; proven ability to lead conversations with technical and non-technical stakeholders
- Proven experience owning projects from scoping through deployment in ambiguous, high-stakes environments
- Willingness to be on-call for customers and to travel for on-site client engagements
