Senior Forward Deployed Engineer

Independently deliver defined workstreams within your engagement, from prototype through to production.

Contribute to discovery and scoping sessions: ask strong clarifying questions and help frame the problem.

Build full-stack, AI-powered systems that deliver measurable client value.

Identify risks and dependencies early and raise them before they become blockers.

Proactively pick up unassigned work and drive it forward.

Work directly with client teams and build trust with technical and non-technical stakeholders.

Contribute ideas on how AI can improve the client’s product, not just deliver what was asked.

Communicate your thinking clearly: in the room, in writing, and in the code.

Bring field feedback to the team to sharpen how we deliver.

Champion AI-native ways of working, including AI-first development, testing, and documentation.

Apply prompt and context engineering, output validation, and critical review of AI-generated code.

Stay current with emerging GenAI tools and bring practical ideas back to the team.

Client-facing aptitude and a consulting posture are essential. You are comfortable engaging directly with client stakeholders, presenting your thinking, and working in the open. This is a non-negotiable requirement.

5+ years of hands-on software development experience, ideally including cross-functional or client-facing work.

Proven ability to independently deliver a defined workstream in a fast-moving or ambiguous environment.

Solid full-stack, generalist foundations. Preferred technologies include ReactJS for frontend and NodeJS/Java/Python for backend development.

You are open to learning new stacks. We work across different client environments, languages, frameworks, and cloud platforms (Azure, AWS, GCP), and with AI as a learning tool, picking up something new is easier than ever. You don’t need to tick every technology box; curiosity goes a long way.

Experience building with LLMs or generative models, professionally or through substantial personal projects.

Solid system design capability and a strong understanding of programming patterns and principles.

Clear communication skills with both technical and non-technical audiences.

Demonstrated initiative and ownership: you drive outcomes rather than wait for instructions.

Prior consulting or client-facing delivery experience.

Enterprise environment exposure.

Experience with AI/ML services and frameworks.

Experience with cloud computing platforms (Azure, AWS, GCP).

Our mission is to become the most advanced consulting company in AI-First product and software engineering. 100% of our projects deploy our Gen-e2 methodology to help clients accelerate delivery and scale these practices.