AI Engineer III (Remote)

We are looking for a Senior AI Engineer who can design, build, and evolve production-grade agentic systems using agent harness-based architectures.

This role is for engineers who understand that reliable AI agents are not built by prompt engineering alone, but by wrapping capable models in opinionated, lightweight infrastructure: harnesses that provide tools, skills, memory, evaluation, and governance-without over-engineering orchestration logic.

You will work at the intersection of backend engineering, agent runtime architecture, semantic systems, and modern AI evaluation, building long-running, self-correcting agents that operate under real-world constraints., + Semantic models enabling better retrieval, grounding, and explainability

• Integrate semantic systems with retrieval and agentic workflows to support:

• Grounded answers, better contextualization, traceability
• Consistent domain alignment and reduced hallucinations

Backend engineering excellence

• Build production-grade backend services and APIs that expose AI capabilities
• Design for:

• Scalability, latency, and cost management
• Reliability, observability, and maintainability
• Security and data governance constraints

• Contribute hands-on to implementation, architecture, and engineering standards:

• Clean architecture, modular design, testing strategies
• CI/CD maturity, structured logging, metrics and tracing

Technical judgment and cross-team collaboration

• Evaluate new AI technologies quickly, understanding:

• when to adopt, when to wait, and how to mitigate risks

• Collaborate with product, platform, and data teams to translate requirements into:

• architecture decisions
• delivery plans
• measurable outcomes and quality gates

• Produce high-quality technical documentation and architecture artifacts

Tackle uncertainty and complexity head-on

• Operate effectively in ambiguous problem spaces where:

• requirements are incomplete or evolving
• solutions are not yet clearly defined
• trade-offs must be surfaced early and revisited often

• Break down complex problems into incremental, testable solutions
• Make technical decisions under uncertainty and iterate safely, using:

• experimentation and fast feedback loops
• observability and measurable outcomes
• fallback and rollback strategies

• Help teams and stakeholders navigate complexity with clear technical thinking and pragmatic choices, The exercise focuses on designing and implementing a software from scratch using whatever tool and AI-assistant you want. We value mature productivity of modern AI-driven development approaches.

• Senior-level experience as a backend software engineer
• Proven ability to build production systems that are observable, evolvable, and maintainable
• Deep understanding of distributed systems trade-offs, * Hands-on experience building LLM-based agentic systems
• Familiarity with:

• agent runtimes
• harness patterns
• long-running agent behavior

• Clear understanding of pros and cons of new AI capabilities, not hype-driven adoption

Semantic systems

• Experience or strong familiarity with:

• knowledge graphs
• ontologies
• semantic modeling approaches

• Ability to integrate structured knowledge into agent workflows

Strong productivity in Spring or Python (at least one at pro level)

• Pro-level proficiency in at least one of:

• Python (agent harnesses, code-as-action, evaluation pipelines)
• Java + Spring / Spring Boot (enterprise-grade backends and integrations)

• Comfortable switching between AI logic and core backend code

Expected mindset & soft skills

• Ownership & proactivity: you don't wait for perfect conditions
• Strong technical judgment: you can say "no" to bad ideas and propose better ones
• Agillity: long term vision balanced by pragmatic ability to deliver effective increments.
• Clear communication: you can explain decisions and trade-offs to technical and non-technical stakeholders
• Bias toward action: you turn ambiguity into execution plans and working systems, * Empathy, humility, collaboration, and willingness to challenge ourselves are the basis of our work.

• Full Remote or hybrid working in our offices: Milan, Turin, Padua, Bologna, Catania and Rende;
• Real work life balance;
• Training monthly budget (time and money);
• A structured career path with clear expectations and salary for each level;
• Support of a buddy in the first week of work;
• A coach as a guide in choosing the most suitable experiences for your ambitions;
• Benefits and corporate welfare programs: company prizes and welcome pack with all the equipment you need to work;
• Agile Nomads Experience: opportunity to work for 2 weeks abroad;
• Referral bonus, if you bring people as talented as you;
• The opportunity to attend one conference per year;
• A company rated 4.8 out of 5 for employee satisfaction on Glassdoor and certified as a Great Place to Work

Inclusive environment where you can be who you really are;

• Stimulating environment oriented to growth, both professional and personal.

Agile Lab is a company founded in 2014 with the mission to create value for its customers in data-intensive environments through customisable solutions that establish performance-driven processes, sustainable architectures and automated platforms based on data governance best practices. Having delivered over 100 successful Elite Data Engineering initiatives, we have used this experience to create Witboost: a modular, technology-agnostic platform that enables modern organisations to discover, value and leverage their data in both traditional environments and fully compliant Data Mesh architectures. With a highly skilled team of over 300 data engineers based in Europe, Agile Lab helps organisations with their data-driven transformation.