Lead Forward Deployed Engineer

We are seeking a Lead Forward Deployed Engineer to join our team focused on developing AI agents, along with the backend and frontend for related applications. With 20+ agents launched, we accelerate innovation across critical industries. You'll work in a high-impact, high-autonomy environment, taking projects from concept to production.

• Collaborate with business stakeholders, product teams, and domain experts to understand requirements and translate them into practical technical solutions that drive measurable business outcomes
• Design and implement backend, full-stack applications, AI agents, and platform components, supporting rapid development and deployment of GenAI use cases
• Support delivery of solutions across the lifecycle — from prototyping through production rollout and iteration — ensuring reliability and usability in real-world environments
• Apply current LLM patterns such as RAG, retrieval, routing, tool-use, agent workflows, and evaluation approaches to deliver reliable and efficient AI systems
• Build and maintain developer tooling, CI/CD pipelines, and observability practices to support safe, fast, and stable iteration
• Follow strong engineering practices, including modularity, maintainability, and production readiness, while applying secure SDLC and privacy-by-design standards
• Contribute as a hands‑on engineer within the team, supporting implementation, collaborating with peers, and helping resolve technical challenges
• Document and share learnings from implementations to contribute to team knowledge and incremental improvements in delivery practices

• 5+ years of professional software engineering experience contributing to delivery of production systems
• At least 1 year of relevant leadership experience
• Strong full‑stack development skills with working knowledge of backend and frontend development
• Background in building AI agents using Type Script, .NET, or Go
• Proficiency in cloud platforms such as AWS, Azure, or GCP, with a proven track record delivering secure, reliable, cloud‑native systems
• Exposure to AI/LLM‑based solutions (e.g., using APIs or basic RAG patterns) in practical implementations
• Basic knowledge or exposure to at least one business domain
• Capability to collaborate with stakeholders and translate business requirements into technical solutions
• Excellent problem‑solving and communication skills, with ability to work effectively within a team
• Strong English communication skills (B2 level or higher)

• Familiarity with Lang Chain, Lang Graph, and MCP, along with vector/RAG systems and Open Search
• Expertise in evaluation frameworks and advanced LLM patterns (orchestration, tool use, fine‑tuning, model adaptation)
• Exposure to machine learning workflows, including training, deployment, and monitoring
• Understanding of CI/CD, Infrastructure as Code, and observability practices
• Awareness of secure SDLC, privacy considerations, and regulatory or compliance standards (e.g., SOC 2, HIPAA)