You’ll join a newly formed forward-deployed engineering group that partners with high-priority enterprise clients to take AI from idea to production. This is a delivery-first role for engineers who enjoy being close to real users: you’ll uncover high-value use cases, prototype quickly and ship robust solutions that create measurable outcomes.

Think of it as a blend of product engineer, solutions architect and hands-on applied AI builder—working in small squads, owning end-to-end execution and operating comfortably in ambiguous environments.

What you’ll do

• Work directly with senior client stakeholders to understand objectives, constraints and success metrics
• Run discovery sessions (workshops, whiteboarding, rapid scoping) to identify practical AI opportunities
• Design and build PoCs and production-ready applications using LLMs, multimodal models, and agentic workflows
• Engineer end-to-end systems: data ingestion, orchestration, evaluation, deployment, monitoring, security and performance tuning
• Deploy to customer environments (cloud or on-prem), ensuring scalability, compliance and operational readiness
• Iterate fast: test hypotheses, measure impact, refine prompts/policies/tools and harden prototypes into durable services
• Build reusable templates, accelerators, and internal tooling to speed up delivery across industries
• Collaborate closely with commercial and delivery partners (solutions, product, research, customer success) to execute well
• Capture learnings, document patterns, and help mentor other engineers as the team grows

What we’re looking for

• 5+ years in software engineering, applied ML, or AI product delivery
• Strong coding ability in Python and/or JavaScript/TypeScript (clean APIs, production-grade practices)
• Practical experience with modern ML frameworks (e.g., PyTorch or TensorFlow) and deploying models into real systems
• Hands-on familiarity with LLM-powered applications: RAG, tool/function calling, workflow orchestration, evaluation, guardrails, or multi-agent patterns
• Experience deploying to AWS/Azure/GCP and/or working with enterprise/on-prem setups (networking, IAM, security considerations)
• Ability to translate vague business problems into well-scoped builds, with clear trade-offs and measurable results
• Confident communicator who can explain complex concepts to technical and non-technical audiences and build trust quickly
• Comfortable working across domains (e.g., healthcare, finance, retail, public sector) and adapting to different constraints
• Willingness to travel or spend time on-site with customers when needed

Nice to have

• Prior client-facing delivery experience (implementation, solutions engineering, consulting, or forward-deployed work)
• Exposure to NLP, computer vision, reinforcement learning, or multi-agent research methods
• Experience building internal platforms, deployment templates, or reusable delivery frameworks

Why this role

You’ll work on high-stakes, real-world implementations where customers matter. If you enjoy rapid experimentation, building reliable systems, and partnering directly with customers to turn cutting-edge AI into outcomes, this role will suit you.

Recruitment process

The role has recently opened so please apply. When your application is reviewed, you will be contacted if your profile meets the requirements. 

The customer will conduct both online and face-to-face interviews based on location and availability.