About the role
We are looking for a Forward Deployed Engineer to help bring AI systems into real customer workflows.
This role sits at the intersection of product, engineering, and customer deployment. You will work directly with customers to understand their operations, identify high-value workflow opportunities, design technical solutions, build working prototypes, and help turn successful deployments into repeatable product patterns.
We are looking for someone who is comfortable operating in ambiguous environments, moving quickly from customer conversations to working systems, and making practical tradeoffs between speed, reliability, customization, and scalability.
What will you do
- Work directly with customers to understand their business processes, operational pain points, data sources, tools, and internal system
- sRun technical discovery and translate customer needs into clear workflow designs, implementation scopes, and deployment plan
- sDesign and build AI-powered workflows using LLMs, agents, tools, APIs, databases, and human-in-the-loop revie
- wIntegrate AI systems with customer environments, including CRMs, ERPs, ticketing systems, internal databases, Slack, Teams, email, spreadsheets, and custom API
- sBuild prototypes quickly to validate customer value, then harden successful prototypes into production-ready system
- sDefine automation boundaries, approval flows, exception handling, permissions, and auditability requirement
- sPartner with product and engineering teams to convert customer-specific deployments into reusable templates, product modules, and implementation playbook
- sWork with go-to-market teams to support customer evaluations, pilots, technical demos, and deployment plannin
- gCreate documentation, deployment notes, customer-facing technical materials, and internal learnings from each projec
- tHelp shape our product roadmap based on repeated customer needs and deployment patterns
What we are looking for
- 3+ years of experience in software engineering, AI engineering, solutions engineering, implementation engineering, technical consulting, or a similar customer-facing technical ro
- leExperience building and shipping software systems used by real custome
- rsStrong ability to understand ambiguous business problems and turn them into concrete technical desig
- nsExperience working with APIs, databases, workflow automation, internal tools, or enterprise integratio
- nsFamiliarity with LLMs, AI agents, prompt engineering, RAG, tool calling, workflow orchestration, or AI application developme
- ntAbility to communicate clearly with both technical and non-technical stakeholde
- rsStrong product judgment and a practical bias toward delivering working syste
- msComfort working across customer conversations, system design, implementation, debugging, and deployme
- ntAbility to operate independently in early-stage, fast-changing environments
Nice to have
- Experience deploying LLM-powered applications or AI agents in product
- ionExperience working with enterprise customers or complex business workfl
- owsExperience with workflow automation tools, internal tool builders, CRM systems, support systems, legal tech, finance operations, logistics systems, or sales operations to
- olsExperience with security, permissions, audit logs, data access control, or enterprise deployment requireme
- ntsExperience working in startups, consulting environments, or field engineering te
- amsExperience turning one-off customer projects into reusable product patterns or implementation frameworks
You might be a strong fit if
- You enjoy being close to customers, not just writing code behind a ticket q
- ueueYou can quickly understand how a business process works and identify where software or AI can create real leve
- rageYou are comfortable building the first version yourself, even when requirements are incomp
- leteYou know when to customize for a customer and when to push for a reusable product pat
- ternYou care about whether the system actually works in production, not just whether the demo looks impres
- siveYou can move between business context, technical architecture, implementation details, and product thinking
