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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Forward Deployed Engineer I - **Company:** Kinaxis - **Location:** UK (Remote available) - **Experience:** Expert - **Salary:** £99,514.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Airflow, User Authentication, BigQuery, Information Engineering, Data Infrastructure, Programming Tools, Python (Programming Language), Software Engineering, Enterprise Software Applications, Large Language Models, Expertise in Kinaxis, Snowflake, Multi-Agent Systems, Backend, Apache Kafka, Virtual Agents, Databricks - **Published:** August 20, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5848542532 ## About the Role * Hands-on experience building LLM-based applications RAG systems, multi-agent workflows, tool-use patterns, prompt and context engineering. * Familiarity with modern AI-assisted development tools (Copilot, Claude Code, agentic IDE workflows) as daily practice, not novelty. * Understanding of agentic orchestration patterns when to use single vs. multi-agent architectures, how to handle memory and state. * Software Engineering * Solid, hands-on software engineering fundamentals: you have built and shipped real systems, not just scripts. * Proficiency in at least one backend language (Python strongly preferred) and the ability to read and contribute across a polyglot codebase. * Experience with REST and streaming APIs, authentication patterns, and integration with enterprise systems. * Data Engineering & Platforms * Ability to build and maintain data pipelines ingestion, transformation, serving, and monitoring using tools such as Airflow, Kafka, dbt, or equivalents. * Working familiarity with modern data platforms (Snowflake, Databricks, BigQuery, or similar), including data modeling and performance fundamentals. * Strong debugging instincts with imperfect, real-world data in production environments. * Supply Chain Domain (Nice to Have) + Prior exposure to supply chain planning, logistics, or operations domains is a genuine plus not a requirement * 2 - 5 years of professional experience in software engineering, data engineering, solutions engineering, or a technical-founder role. Strong candidates at either end of that range are welcome to apply. * Prior exposure to customer-facing technical roles solutions engineering, forward deployment, technical consulting, or a startup where you wore multiple hats is a strong signal, though not a requirement. ## Description You will work shoulder-to-shoulder with customers from warehouse floor to executive sponsor designing, building, and shipping Agentic AI solutions on the Kinaxis Maestro Platform. When a solution works, you abstract it into a reusable pattern. When something breaks in production, you own the fix. You operate in a POD team: tight, multi-disciplinary, and self-directed. We are scrappy, resourceful, and self-directed. We move fast, trade tasks to whoever is closest to the need, and stay relentlessly focused on customer impact. Attitude is the biggest asset. We hire for trajectory and mindset, not years on a resume. The right bias to action, ownership, and appetite to keep learning cannot be taught but every technical skill here can be. Bring those, and we will invest in the rest. Vacancy Status This is an existing job vacancy. What you will do * Own customer solutions end-to-end. Rapidly prototype, iterate, and deploy solutions in live operational environments where the stakes are real and the timeline is short. * Deliver relentless customer value. Build trusted relationships from the IC level to the executive sponsor and become the technical face of our company in the room. * Run multiple threads. Carry several customer engagements in parallel based on customer priorities and pod capacity. Set expectations early, renegotiate honestly when reality shifts, operate without close supervision, and own the outcome. * Operate as a SEAL team. A small, tight, multi-disciplinary unit with focus and urgency tasks are traded seamlessly to whoever is closest to the skills needed. * Make the product better. Partner with Product and Engineering to convert field learnings into durable platform capabilities not one-off scripts. * Drive adoption and lead the change. Mentor customer operators and guide their teams through solution transitions, so the new way of working actually sticks., * You measure your own success in business outcomes efficiency gains, exception reduction, SLA improvements not lines of code shipped. * You bring field learnings back into the platform, helping abstract what works into durable, scalable capabilities. * You operate with high agency: you unblock yourself, adapt when conditions change, and take ownership end-to-end without requiring close supervision. * You are curious and pragmatic you explore new tools and apply them where they create real value, not because they are new. * You communicate clearly across engineering, product, and business stakeholders written, verbal, and in the room. * You move on what matters. You finish what you start. The outcome is yours no waiting for perfect clarity. * You identify what matters, secure the help or learning you need, and deliver without being told. * Every customer, teammate, and new tool is a chance to level up. Not knowing something is fine; refusing to learn it is not. * You can sit with a frustrated VP, a skeptical architect, or a junior analyst and leave each one feeling heard, helped, and impressed. * Undefined problem, undefined scope, undefined success metric and you still ship. * You guide customers through transitions and mentor their teams to adopt new ways of working. * Ability to travel as required up to 50% ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [The Intent Engineer: Closing the Gap Between Business & Engineering - Manuel Klein](https://www.wearedevelopers.com/videos/1855-the-intent-engineer-closing-the-gap-between-business-engineering-manuel-klein) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Robots are coming into the wild! Full-Stack Robotics Engineers, be ready!](https://www.wearedevelopers.com/videos/479-robots-are-coming-into-the-wild-full-stack-robotics-engineers-be-ready) - [Making Data Warehouses fast. 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