Senior Forward Deployed Engineer

Overview

Work directly with customers to design and deploy agentic, AI-powered workflows that transform how businesses operate, taking ambiguous problems into production systems.

What you'll do

• Build and deploy LLM-powered applications and multi-agent workflows in production environments.
• Design end-to-end solutions integrating APIs, enterprise systems, and data platforms.
• Partner directly with customers to translate business problems into scalable AI and RPA solutions.
• Own delivery from prototype to production to iteration.
• Optimize systems for performance, cost, and reliability.
• Extend platform functionality using APIs, SDKs, connectors, and custom integrations to meet customer-specific requirements.
• Anticipate delivery risks, manage scope, and communicate blockers, tradeoffs, and timelines proactively with customers and internal stakeholders.
• Lead high-impact technical workstreams within strategic customer engagements, aligning delivery to measurable business outcomes.
• Contribute reusable patterns and influence product direction through real-world feedback.
• Mentor engineers, raise technical standards, and help scale reusable implementation playbooks across customer engagements.
• Partner with Product, Engineering, Sales, and Customer Success to translate field learnings into platform improvements.

What you'll need

• 5 to 8+ years of software engineering experience, including applied or customer-facing work.
• Strong coding skills in Python and/or TypeScript.
• Hands-on experience with LLMs, prompt engineering, and production AI systems.
• Experience building and deploying complex, integrated systems.
• Ability to operate in ambiguity and move quickly from idea to production.
• Strong communication skills with both engineers and business stakeholders.
• Customer-facing experience managing technical risks, timelines, tradeoffs, and stakeholder expectations.
• Ability to mentor engineers and contribute to reusable assets, technical standards, and delivery best practices.

Nice to have

• PhD or Master's in Computer Science or a related field.
• Experience with agent frameworks, orchestration systems, or distributed systems.
• Familiarity with LLM providers such as OpenAI, Anthropic, Gemini, etc.
• Background in applied AI, machine learning, or automation platforms (UiPath, RPA, workflow engines).
• Experience in startup, consulting, or forward-deployed environments.
• Experience with prompt management, LLM evaluation, agent observability, and production support practices.
• Familiarity with enterprise security, governance, compliance, and operational readiness requirements.
• Experience presenting technical recommendations to senior customer stakeholders or executives.
• Experience contributing to reference architectures, reusable delivery patterns, or internal technical enablement.

Details

• Travel: approximately 20-30% to customer sites.