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TribalScale

Forward Deployed Engineer (San Francisco)

TribalScale · Remote USA

Posted 8 days ago

or apply directly on TribalScale's site. We never take the application ourselves.

Is this posting real?

This role has been open
8 days
TribalScale's roles stay open a median of 59 days
Reposted
No
Salary listed
No
0% of TribalScale's roles list one
Ghost-job risk at TribalScale
high
9 stale, 0 reposted of 14 open
Hiring momentum
18 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-23

Measured from postings appearing on and disappearing from TribalScale's own greenhouse board since 2026-08-03. Full hiring picture for TribalScale.

About this role

As a Forward Deployed Agile Software Engineer at TribalScale, you will work closely with clients to understand their business challenges and translate them into technical solutions. Your role involves designing and building AI-enabled applications, developing prototypes, and integrating solutions with client systems while ensuring high-quality software delivery. You will also collaborate with cross-functional teams and help clients navigate the complexities of AI systems in production environments.

Our read on this posting3.2out of 5
benefits
1/5
freshness
5/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of TribalScale as an employer.

What you need

  • Professional experience building and deploying production-grade software, ideally including AI-powered or agentic systems.
  • Strong proficiency in Python, TypeScript, or another language commonly used to build AI applications, platforms, and developer tooling.
  • A practical understanding of harness engineering: designing the infrastructure, context, tools, permissions, controls, and feedback mechanisms that enable AI agents to operate reliably.
  • Experience building or working with agent loops, including planning, tool selection, execution, observation, reflection, recovery, and termination.
  • Familiarity with graph-based orchestration, state machines, and multi-step workflows for coordinating agents, tools, data, and human approvals.
  • Experience designing evaluation systems for AI applications, including task-based benchmarks, regression suites, model-graded evaluations, human review, and production monitoring.

Nice to have

  • Experience with agent frameworks, workflow engines, coding agents, or custom model-orchestration systems.
  • Experience creating tool interfaces, execution sandboxes, permission models, and human-in-the-loop controls for autonomous or semi-autonomous systems.
  • Familiarity with retrieval-augmented generation, embeddings, vector search, knowledge graphs, fine-tuning, and model-routing strategies.
  • Experience evaluating AI systems using golden datasets, simulators, adversarial testing, online experiments, and production feedback.
  • Familiarity with AI observability, including traces, token and cost analysis, latency measurement, failure classification, and quality dashboards.

Worth weighing

  • No salary listed.
  • Role involves significant client interaction and requires adaptability to changing requirements.
  • Strong emphasis on AI and emerging technologies, which may appeal to candidates interested in cutting-edge work.
  • The role may involve occasional travel for client workshops or on-site delivery.

Summarised from TribalScale's posting. Read the full original.

Listed by TribalScale on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.

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