07 ago - Italia
Truelayer
ph3Senior Agentic Enablement Engineer /h3pTrueLayer is on a mission to create a specialized Agentic Engineering Enablement team aimed at incorporating AI agents into our primary technical processes. In this position, you will collaborate closely with the Chief Technology Officer to design and implement robust production infrastructure that ensures the seamless operation of agents throughout our engineering teams. /ph3Key facts /h3pLocation: Milan, Italy /ppEngagement: Hybrid (3 days remote, 2 days in office) /ppSalary: €85,000 to €110,000 per year, plus equity /ppTeam: Agentic Engineering Enablement /ph3What you'll do /h3ulliDevelop and sustain the agent harness, which includes creating system prompt libraries, defining skills, and maintaining AGENTS.md documentation. /liliConstruct MCP servers that enable agents to securely and instantaneously access internal databases, APIs, and deployment states. /liliCreate and manage internal tool libraries that outline the processes for testing, reviewing, and operating software effectively. /liliDesign and implement golden paths and orchestration patterns to ensure that agent capabilities are both measurable and dependable. /liliEnhance CI/CD pipelines to accommodate agent-scale workloads by utilizing caching, parallelization, and remote execution techniques. /liliDevelop evaluation harnesses to assess agent performance, incorporating regression suites and metrics tailored to specific tasks. /liliSet up oversight policies, guardrails, and permission boundaries to guarantee secure operations for agents, adhering to the principle of least privilege. /liliCollaborate with cross-functional teams to ensure alignment on agent capabilities and performance metrics. /liliMentor junior engineers in best practices for agent integration and infrastructure development. /liliConduct regular reviews of agent performance and infrastructure efficiency, making recommendations for improvements.
/liliStay updated on industry trends and advancements in AI and agent technology to drive innovation within the team. /li /ulh3Requirements /h3ulliA minimum of 7 years of experience in software engineering, with a strong emphasis on platform engineering, infrastructure, or enhancing developer experience. /liliDemonstrated experience in building and managing autonomous agent systems, including the development of tool-use schemas and orchestration pipelines. /liliProficiency in cloud infrastructure, particularly with AWS, Terraform, Docker, and Kubernetes. /liliA disciplined approach to prompt and context engineering, treating it as a version-controlled engineering practice. /liliExcellent written communication skills, essential for documenting architectural choices and complex workflows effectively. /liliStrong problem-solving abilities and a proactive approach to identifying and addressing challenges in agent operations. /li /ulh3Nice to have /h3ulliFamiliarity with agent orchestration frameworks such as LangGraph, AutoGen, or CrewAI. /liliExperience in evaluating developer experience and measuring engineering velocity. /liliKnowledge of evaluation frameworks like LangSmith or Braintrust. /liliUnderstanding of large language model (LLM) cost modeling, including token budget design and retrieval strategies. /liliBackground in security or compliance within a regulated sector, ideally in fintech. /liliExperience in scaling CI/CD pipelines to handle high loads effectively. /li /ulh3Skills tools /h3ulliAWS, Terraform, Docker, Kubernetes /liliGitHub Actions /liliMCP servers /liliLangGraph, CrewAI, AutoGen /liliLangSmith, Braintrust /li /ulh3Practical notes /h3ulliEmployees enjoy 24 days of vacation, 12 wellbeing days, and a day off for their birthday, along with meal vouchers and a dedicated learning budget. /liliComprehensive parental leave policies and mental health support are provided through Spill. /liliCompensation is aligned with the CCNL commercio contract. /liliTrueLayer is committed to accommodating candidates with individual needs throughout the hiring process, ensuring a fair and inclusive experience. /li /ul /p #J-18808-Ljbffr
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