tem - Senior Staff Engineer - Agent Platform
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT
Requirements
• Architectural depth: Proven ability to design and evolve complex, stateful distributed systems spanning APIs, event-driven architectures, data systems, and agentic applications - where domain logic is the primary source of complexity. Proven patterns for high-throughput performance and scaling architecture to support hundreds of thousands of customers, while preventing domain drift. • Proven experience building AI agents in production, not just demos, with a clear understanding of current best practices (agent architectures, tool calling, RAG where appropriate, prompt and context engineering). Ability to run AI/agentic systems reliably in production with observability, incident readiness, and cost controls. • AWS serverless architecture (Lambda, API Gateway, Event Bridge, Step Functions) • Event-driven systems and asynchronous workflows • Strong coding skills: deep hands-on experience with a variety of coding languages, and comfortable with a tech-agnostic approach. Familiarity with Python is a must-have. • Agent quality discipline: hands-on experience with evaluations (offline and online), regression testing, safety guardrails, and monitoring for reliability, cost, and drift. • Strong backend and distributed-systems fundamentals: APIs, asynchronous workflows, state management, idempotency, retries, and failure recovery in high-stakes workflows. • Product & business alignment: Demonstrated ability to connect technical decisions to business outcomes and customer experience. • First-principles problem solving: Ability to reason from fundamentals (constraints, incentives, data and system behaviour) to design solutions in complex, high-stakes domains. • Experience building internal “paved paths” for agent development (shared libraries, templates, tool interfaces, DX improvements) adopted by multiple teams. • Experience with agent tooling and orchestration frameworks (e.g., LangGraph, LangChain) and modern evaluation stacks. • Practical experience with retrieval systems (vector databases, semantic search, chunking strategies, data contracts for trustworthy context). • Exposure to model operations (multi-provider routing, hosted inference, fine-tuning). • Experience in regulated or high-correctness domains (energy, fintech, govtech), including auditability and safe degradation patterns. • Familiarity with workflow orchestration and real-time systems (e.g. pricing engines, complex event-driven workflows).
Responsibilities
• Ship flagship agentic capabilities: Deliver high-impact agentic workflows end-to-end, from discovery through production roll-out, with clear success metrics and fast iteration loops. • Build and operate production-grade agent systems: Design reliable agentic systems that behave predictably under real-world constraints, including latency, cost, data quality, and failure modes, with strong patterns for state management, idempotency, and safe recovery. • Create shared foundations for agent delivery: Develop the core primitives that enable teams to build agents consistently (runtime patterns, tool interfaces, context management, shared libraries) while avoiding one-off implementations. • Establish a pragmatic Agent Development Life Cycle (ADLC): Implement evaluations, guardrails, tracing, monitoring, and release processes so agents can be measured, debugged, and improved continuously. • Integrate ML and LLM components into production workflows: Work with ML/Data teams to productionise models and LLM capabilities with clear contracts, versioning, observability, and safe degradation patterns. • Maintain clear domain boundaries as adoption scales: Define shared semantics for agent tools and data access, preventing domain drift while enabling teams to move quickly. • Collaborate with Platform on infrastructure and developer tooling: Adopt and extend existing CI/CD, DevEx, and observability systems, contributing back where agentic workloads introduce new requirements. • Success measures • 3 months: Ship first flagship agentic workflow to production with defined KPI, runbook/on-call ownership, and baseline telemetry (success rate, latency, cost). • 6 months: Ship additional workflows or expansions and implement lightweight ADLC: evals + guardrails + monitored rollouts + rollback. • 12 months: Prove repeatable capability: 2+ product teams shipping on shared foundations, faster time-to-prod for new agents, and reliability/cost targets consistently met.
Benefits
• Competitive salary - our current band for this role is £129,500 or equivalent in local currency. • We review salaries twice a year using real-time market data, with transparent, consistent pay for the same role and level. • Stock Options - everyone on the team has ownership in our mission. • 25 days holiday + public holidays - Swap public holidays for ones that matter most to you. Plus, get an extra day off for your birthday 🎉. • Remote & flexible working - We’re fully remote with clear core hours, and no internal meetings on Friday afternoons. • Home working & wellbeing budgets: • Up to £1,200 / €1,200 annually to upgrade your remote setup (co-working passes, equipment, etc.). • Up to £150 / €150 monthly on anything that supports your wellbeing - from therapy to gym memberships to meditation apps. • 🗣️ INTERVIEW PROCESS: • Our processes normally take around 2-3 weeks from first call to offer - please let us know about any adjustments to timelines that may be required. • 1. First call with our Talent Team (30 Mins). This is to understand your experience, motivations, and discuss the role in more detail. • 2. Behaviour Interview with our Engineering Managers (60 Mins). This is your chance to really understand the role, the expectations, and ensure alignment on ways of working. • 3. Technical Interviews with the Team (2 x 90 Mins). You’ll meet with potential peers in this session and will discuss technical topics and experiences. • 4. Culture-Add Interview with Stakeholders (45 Mins). The final session will be with two cross-functional stakeholders, and will explore how your values align with ours, and is designed to be a genuine two-way conversation, your chance to understand what it’s really like to work at tem.
No credit card. Takes 10 seconds.