Why this opportunity stands out
Five Forward Deployment Engineer roles open across the UK - remote or hybrid from Manchester, London, Birmingham or Edinburgh. Mid-level and senior candidates welcome, with generative AI and agent orchestration at the core.
About the role
167 Solutions is a specialist recruitment and consulting business connecting exceptional talent with ambitious organisations across AI, technology, finance, HR and sales. We combine deep market knowledge with a practical, relationship-led approach, helping clients build teams and deliver meaningful change.
We are recruiting five Forward Deployment Engineers to work on customer-facing engagements where the problem is still taking shape. You will embed with a client, find the operational problem worth solving, and build the software that solves it - going from discovery to something running in production.
This is a delivery role rather than a product role. You will spend real time with the people who own the problem, and much of the work will be delivered inside the client's environment and to the client's standards. The stack is modern and open source, with generative AI and agent orchestration increasingly central to what we build.
The roles are open to both mid-level and senior candidates. For a mid-level engineer this is a chance to own a customer problem end to end early in your career; for a senior engineer it is the chance to lead the engagement and raise the standard for how we deliver. The same brief applies to both - what changes is the depth of ownership and the size of the team you lead.
You will work across enterprise and published-product work: modernising internal systems, building the services behind them, and taking products to market. AI is not a side project here - generative AI and agent orchestration are part of the day-to-day engineering, used where they genuinely help and left out where they do not.
Key responsibilities
• Design, build and ship production software - APIs, data pipelines, integrations, user-facing applications and automation - using a modern open-source stack.
• Own deployments from prototype through production launch, adoption and iteration, including the handover when the work becomes the client's own.
• Build on generative AI and agent orchestration where it delivers real value, from assistant and copilot features through to multi-step agents and the tooling around them.
• Work across enterprise modernisation and published products, from internal platforms and services through to products that ship to customers.
• Establish solid engineering practices - security, testing, observability, CI/CD and documentation - and hold them on every engagement.
• Navigate customer infrastructure, data and governance constraints while keeping delivery moving.
• Diagnose critical issues in live environments and lead resolution with technical and stakeholder teams.
• Mentor engineers, review designs and code, and raise the quality of delivery across engagements.
• Convert recurring customer needs into reusable product and platform capabilities rather than starting from scratch each time.
What they're looking for
• Hands-on experience with an open-source stack, ideally including Python, FastAPI or Django, TypeScript, React, PostgreSQL, Linux, Git, Docker and Kubernetes.
• Experience building and consuming REST APIs, integrating third-party systems and working with structured data.
• Familiarity with cloud infrastructure, CI/CD pipelines, observability and secure deployment practices.
• Experience with generative AI in production - working with LLM APIs, designing agentic workflows and orchestrating multi-step agents - and judgement about where it genuinely helps.
• Practical experience with enterprise systems and published products: modernising internal platforms, integrating with enterprise data, or building and shipping a product to customers.
• Experience designing APIs, distributed services, data integrations and cloud-native applications.
• Ability to work directly with customers and explain technical decisions to non-technical stakeholders.
• Clear, confident communication with senior stakeholders - the kind that can hold a room, answer the question that was actually asked, and be trusted on a hard call.
• A pragmatic approach to problem solving, able to make progress when requirements are ambiguous or change rapidly.
• Experience mentoring engineers and influencing technical standards without losing hands-on involvement.
Benefits
• Five roles open, so there are multiple ways in and teams are being built rather than backfilled.
• UK-wide flexibility - fully remote, or hybrid from Manchester, London, Birmingham or Edinburgh.
• Open to mid-level and senior candidates, with the scope of ownership and leadership to grow as you do.
• Generative AI and agent orchestration as part of the core engineering work, not a bolt-on.
• A mix of enterprise modernisation and published product work, so the breadth is real.
• High ownership: you take a customer problem from discovery through to production and see the result used.
• Exposure to modern open-source technologies and applied AI delivery.
• Supportive, specialist team with scope to shape delivery practices as the function grows.