TribalScale
Forward Deployed Engineer (Washington, D.C.)
Remote USA · Remote · Full-time · Posted Oct 14, 2026
- Experience
- Professional experience is requested; no number of years is stated.
About the job
Embeds with clients to design, build, evaluate, and deploy production AI-enabled software and agentic systems that address business problems.
What you'll do
- Translate client needs into technical requirements, architectures, prototypes, and delivery plans; build and integrate production software.
- Engineer AI agent harnesses, workflows, evaluations, observability, permissions, and safeguards to make systems reliable and secure.
- Troubleshoot client environments, communicate technical trade-offs, and collaborate with client and cross-functional teams.
What they ask for
- Professional experience building and deploying production-grade software.
- Proficiency in Python, TypeScript, or another language commonly used for AI applications and developer tooling.
- Practical understanding of harness engineering and experience with agent loops, workflow orchestration, AI evaluation, and system instrumentation.
- Strong knowledge of APIs, distributed systems, databases, cloud infrastructure, and modern software-development practices.
Nice to have
- Experience with agent frameworks, retrieval-augmented generation, AI observability, or multi-model systems.
- Experience with cloud platforms, containers, Kubernetes, infrastructure as code, or CI/CD tooling.
Tools
Python, TypeScript, AWS, Microsoft Azure, Google Cloud, Kubernetes, Claude
AI focus
Designs and deploys AI-enabled applications and agentic workflows, including harnesses, agent loops, orchestration, evaluation, observability, and safeguards.
Model-written summary · the original posting is authoritative