Forward Deployed Engineer

We’re a boutique AI firm building production AI systems for regulated industries, including insurance, banking, healthcare and legal, for clients across the US, Latam, Europe and the GCC.We also build and scale our own AI-native products through our Venture Builder.AI isn’t a layer we add on top.It’s how we work and what we ship.At The Agile Monkeys, we think of this way of working as Discovery-to-Delivery Engineering : owning the journey from understanding a complex problem to getting the right solution into production.The role You’ll lead a small, senior pod embedded inside one of our largest enterprise engagements.A big part of the role is discovery: understanding how the business and its systems really work, identifying where AI can create measurable impact, and turning those opportunities into production solutions.You’ll work across complex and sometimes unfamiliar environments, so we’re looking for someone who can move between technologies and domains rather than someone defined by a particular stack.AI is both part of what we build and a tool we use to understand systems, prototype faster and increase the team’s leverage.This is a senior, hands?on engineering role.You’ll be expected to make technical decisions, create structure when there isn’t much of it, and take ownership well beyond the code you personally write.What the work actually looks like Understand the problem before solving it.Get into the client’s workflows, systems and constraints, and work out what is actually happening.Find the opportunities.Identify where AI can remove meaningful work, improve a process or unlock something that wasn’t possible before.Lead the pod technically.Set direction, prioritize the work and make the calls when there isn’t an obvious answer.Turn ambiguity into something buildable.Translate business problems into technical approaches, experiments and production plans.Stay hands?on.Get into unfamiliar systems and technologies yourself, using AI to become productive quickly.Work directly with the client.Challenge assumptions, explain technical decisions and keep the conversation focused on outcomes.Own the result.Take ideas from discovery through implementation and make sure what reaches production actually changes something.Increase the team’s leverage.Use AI tools and agents deeply in your own work and help the team figure out where they genuinely make us better.Who this is for If you want a role where someone else defines the problem, chooses the technology and hands you a backlog, this probably isn’t it.Here, figuring out what to build is part of the engineering work.You’ll fit if:You’re a strong software engineer with deep, hands?on experience building with modern AI.You’ve shipped real systems and owned outcomes beyond the code you personally wrote.You’re comfortable moving between technologies, codebases and domains rather than defining yourself by one stack.You’ve built real things with LLMs, agents or other AI tooling, and you know where they help and where they don’t.You get productive quickly in systems you don’t know yet.You can sit with business stakeholders, understand their world and turn it into something technical.You communicate comfortably in English with both clients and engineers.Ambiguity doesn’t throw you off.You create structure and move.You care about measurable impact, not just whether the technology works.You make decisions with judgment, stay humble and bring the team with you.Good to have, not required Experience with large enterprise or regulated-industry environments.Cloud platforms such as Azure.Distributed systems or large API ecosystems.Experience leading distributed teams.AI?assisted development tools such as Claude Code, Codex, Copilot or similar.On your background Skip the CV that lists every framework you’ve touched.We’d rather hear about a project you entered without knowing the system, how you got up to speed, what you discovered and what you ended up building.Tell us about an AI opportunity you found by understanding the business rather than being handed a use case, and what actually changed once it reached production.Links to GitHub projects, architecture work or technical writing are very welcome.What you get Fully remote, with our Las Palmas, Tenerife and Madrid offices open to you whenever you want them.If you’ve been looking for a role where understanding the problem, proposing the solution and building it are all part of the same job, we’d like to meet you!#J-*****-Ljbffr

Use AI tools and agents deeply in your own work and help the team figure out where they genuinely make us better.Who this is for If you want a role where someone else defines the problem, chooses the technology and hands you a backlog, this probably isn’t it.Here, figuring out what to build is part of the engineering work.You’ll fit if:You’re a strong software engineer with deep, hands?on experience building with modern AI.You’ve shipped real systems and owned outcomes beyond the code you personally wrote.You’re comfortable moving between technologies, codebases and domains rather than defining yourself by one stack.You’ve built real things with LLMs, agents or other AI tooling, and you know where they help and where they don’t.You get productive quickly in systems you don’t know yet.You can sit with business stakeholders, understand their world and turn it into something technical.You communicate comfortably in English with both clients and engineers.Ambiguity doesn’t throw you off. You create structure and move.You care about measurable impact, not just whether the technology works.You make decisions with judgment, stay humble and bring the team with you.Good to have, not required Experience with large enterprise or regulated-industry environments. Cloud platforms such as Azure. Distributed systems or large API ecosystems. Experience leading distributed teams. AI?assisted development tools such as Claude Code, Codex, Copilot or similar.On your background Skip the CV that lists every framework you’ve touched.We’d rather hear about a project you entered without knowing the system, how you got up to speed, what you discovered and what you ended up building.Tell us about an AI opportunity you found by understanding the business rather than being handed a use case, and what actually changed once it reached production.Links to GitHub projects, architecture work or technical writing are very welcome.What you get Fully remote, with our Las Palmas, Tenerife and Madrid offices open to you whenever you want them.If you’ve been looking for a role where understanding the problem, proposing the solution and building it are all part of the same job, we’d like to meet you!

Madrid, España

We’re a boutique AI firm building production AI systems for regulated industries, including insurance, banking, healthcare and legal, for clients across the US, Latam, Europe and the GCC.We also build and scale our own AI-native products through our Venture Builder.AI isn’t a layer we add on top. It’s how we work and what we ship.At The Agile Monkeys, we think of this way of working as Discovery-to-Delivery Engineering : owning the journey from understanding a complex problem to getting the right solution into production.The role You’ll lead a small, senior pod embedded inside one of our largest enterprise engagements.A big part of the role is discovery: understanding how the business and its systems really work, identifying where AI can create measurable impact, and turning those opportunities into production solutions.You’ll work across complex and sometimes unfamiliar environments, so we’re looking for someone who can move between technologies and domains rather than someone defined by a particular stack.AI is both part of what we build and a tool we use to understand systems, prototype faster and increase the team’s leverage.This is a senior, hands?on engineering role.