Senior Forward Deployed Engineer
Employment Info
JOB DETAILS
Requirements
- Client-facing aptitude and a consulting posture are essential.
- 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). 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.
- Hands-on, daily use of AI tools across your engineering workflow.
- Working grasp of prompt and context engineering for engineering workflows.
- Demonstrated use of AI tools in day-to-day engineering work, not just theoretical exposure.
- Critical thinking to validate and verify AI-generated code and solutions.
Responsibilities
- 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.
Desired Qualifications
- 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).
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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