AI-Powered Forward Deployed Engineer (Hybrid)

Invisible, Inc.; Greater London; Hybrid; GBP 56,000 - 132,000; Full time

Job summary

Invisible, Inc. is seeking a Software Engineer, Forward Deployed Engineer to work directly with clients and internal teams to build 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 our products — all while interfacing with technical and non-technical stakeholders. This is a hybrid role: equal parts AI engineer, software builder, and technical consultant.

Qualifications

• Hands-on experience in software engineering or ML engineering.
• Strong Python skills with experience in ML libraries.
• Understanding of data pipelines, APIs and production deployment.
• Experience building usable systems from messy data and ambiguous requirements.
• Strong communication skills and ability to explain technical decisions.
• Entrepreneurial mindset and comfort in fast-moving environments.
• Willingness to be on-call for customers.
• Ability to travel 25-50% for on-site client engagements.

Responsibilities

• Collaborate with delivery leaders to scope technical solutions to operational problems.
• Identify workflow optimizations and build scalable solutions.
• Design and implement AI-powered workflows using LLMs and related tools.
• Translate real-world constraints into elegant engineering solutions.
• Iterate quickly based on real-time feedback from operators and clients.
• Build reusable tooling and infrastructure to accelerate future deployments.

Skills

Python

PyTorch

Hugging Face

LangChain

OpenAI APIs

APIs

Docker

FastAPI

GCP/AWS

Communication skills

Entrepreneurial mindset

On-call readiness

Travel 25-50%

Tools

Docker

FastAPI

GCP/AWS

Job description

Invisible, Inc. is seeking a Software Engineer, Forward Deployed Engineer to work directly with clients and internal teams to build 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 our products — all while interfacing with technical and non-technical stakeholders. This is a hybrid role: equal parts AI engineer, software builder, and technical consultant.