or apply directly on TribalScale's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 23 days TribalScale's roles stay open a median of 31 days
- Reposted
- No
- Salary listed
- No 0% of TribalScale's roles list one
- Ghost-job risk at TribalScale
- moderate 3 stale, 0 reposted of 9 open
- Hiring momentum
- 13 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
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 Senior Agentic Engineer at TribalScale, you will work closely with clients to understand their business challenges and design AI-enabled software solutions. Your role involves translating complex requirements into technical architectures, building applications, and implementing systems that ensure reliability and performance. You will also engage in direct client interactions, providing expert advice and fostering strong partnerships throughout the software development lifecycle.
- benefits
- 1/5
- freshness
- 4/5
- 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, including AI-powered or agentic systems.
- Strong proficiency in JavaScript, NodeJS, TypeScript, Python.
- Strong development fundamentals, object oriented programming, test driven development, and cloud based application deployment.
- Strong presentation & communication skills, experience working with teams and mentoring other engineers in a collaborative environment.
- 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.
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 direct client interaction which may require travel occasionally for workshops or on-site delivery.
- The position requires navigating ambiguity and evolving requirements, which may be challenging for some candidates.
Summarised from TribalScale's posting. Read the full original.
Listed by TribalScale on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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