Senior Forward Deployed Engineer (Remote Build)
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Key skills for this role
About the Role
Our partner is looking for a Senior Forward Deployed Engineer to work at the intersection of engineering, customer delivery, and applied AI. You will partner with enterprise clients to design and deploy integrations, automations, and AI-powered workflows, owning the full lifecycle from discovery to production.
Key Skills for This Role
Responsibilities
- Partner with customers to deeply understand business challenges, define success criteria, and run structured technical discovery sessions that translate needs into clear 'definition of done' outcomes
- Design and implement end to end technical solutions including APIs, data pipelines, integrations, and workflow automations that integrate customer systems with internal platforms
- Own production deployments, ensuring reliability, observability, performance, incident response readiness, and continuous improvement of delivered systems
- Build and maintain AI enabled systems using LLMs, agentic workflows, retrieval patterns, and evaluation frameworks to ensure safe, accurate, and efficient outputs
- Develop measurement frameworks including KPIs, test suites, regression checks, and guardrails to evaluate system quality and business impact
- Collaborate cross functionally with Product, Engineering, Sales, and Customer Success teams to refine architecture, improve reusable components, and scale solutions
- Translate field insights into scalable patterns, playbooks, and product feedback to improve platform capabilities over time
Requirements
- 5+ years of experience shipping production grade software as a backend or full stack engineer, with ownership of systems in live environments (including debugging and on call responsibility)
- Strong systems design and integration expertise including APIs, webhooks, authentication (OAuth/service accounts), event driven architectures, data modeling, and failure handling
- Hands on experience building with applied AI/LLMs in production, including prompt design, tool use, RAG, evaluation methods, and performance trade offs
- Ability to operate independently in ambiguous environments, translating undefined problems into structured technical solutions and execution plans
- Excellent communication skills, with the ability to explain complex technical concepts clearly to both technical and non technical stakeholders
- Experience working with enterprise grade environments is a plus, including compliance, security reviews, and large scale system constraints
- Familiarity with HRIS, payroll, IAM systems, multi tenant SaaS, or similar enterprise domains is highly desirable
- Strong programming proficiency and ability to work across multiple languages and modern backend frameworks
Full Job Posting
Role Overview
- This role sits at the intersection of engineering, customer delivery, and applied AI, where you will directly partner with enterprise clients to turn complex operational challenges into reliable, production grade systems.
- You will design and deploy integrations, automations, and AI powered workflows that connect enterprise tools with modern platforms.
- The position requires strong ownership across the full lifecycle—from discovery and architecture to deployment, monitoring, and iteration.
Accountabilities
- Partner with customers to deeply understand business challenges, define success criteria, and run structured technical discovery sessions that translate needs into clear 'definition of done' outcomes.
- Design and implement end to end technical solutions including APIs, data pipelines, integrations, and workflow automations that integrate customer systems with internal platforms.
- Own production deployments, ensuring reliability, observability, performance, incident response readiness, and continuous improvement of delivered systems.
- Build and maintain AI enabled systems using LLMs, agentic workflows, retrieval patterns, and evaluation frameworks to ensure safe, accurate, and efficient outputs.
- Develop measurement frameworks including KPIs, test suites, regression checks, and guardrails to evaluate system quality and business impact.
- Collaborate cross functionally with Product, Engineering, Sales, and Customer Success teams to refine architecture, improve reusable components, and scale solutions.
- Translate field insights into scalable patterns, playbooks, and product feedback to improve platform capabilities over time.
Requirements
- 5+ years of experience shipping production grade software as a backend or full stack engineer, with ownership of systems in live environments (including debugging and on call responsibility).
- Strong systems design and integration expertise including APIs, webhooks, authentication (OAuth/service accounts), event driven architectures, data modeling, and failure handling.
- Hands on experience building with applied AI/LLMs in production, including prompt design, tool use, RAG, evaluation methods, and performance trade offs.
- Ability to operate independently in ambiguous environments, translating undefined problems into structured technical solutions and execution plans.
- Excellent communication skills, with the ability to explain complex technical concepts clearly to both technical and non technical stakeholders.
- Experience working with enterprise grade environments is a plus, including compliance, security reviews, and large scale system constraints.
- Familiarity with HRIS, payroll, IAM systems, multi tenant SaaS, or similar enterprise domains is highly desirable.
- Strong programming proficiency and ability to work across multiple languages and modern backend frameworks.
Benefits
- Fully remote first working model with flexibility to work from anywhere
- Flexible working hours with async first culture supporting work life balance
- Competitive compensation with equity/stock options depending on role level
- Paid parental leave and comprehensive mental health support programs
- Learning and development budget to support continuous upskilling
- Home office setup budget and equipment support
- Opportunity to work on cutting edge AI and enterprise integration challenges
- Global, high trust environment with strong ownership and autonomy
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