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Senior ai engineer (remote)

Magliano in Toscana
Aptus.AI
Pubblicato il 9 aprile
Descrizione

Senior AI Engineer

Verifichi che le sue competenze e la sua esperienza corrispondano ai requisiti di questo ruolo, quindi si candidi con il suo CV qui sotto.
Aptus.AI · Pisa, Italy (Hybrid)

About Aptus.AI
Aptus.AI is building the next generation of AI for the legal and compliance industry. Our platform combines frontier language models with deep domain expertise to help legal professionals and compliance teams work faster, more accurately, and with greater confidence. We operate at the intersection of cutting-edge AI research and the rigorous demands of the legal world, and we're growing fast.

About the Role
We're looking for an AI Engineer who has already built real AI agents, not just integrated an LLM API, but designed and shipped systems that reason, plan, and act autonomously. You'll work at the core of our product, designing the multi-agent architectures that power our compliance and legal AI assistants.
This role sits at the intersection of systems design, applied AI, and product engineering. You'll collaborate directly with our product and engineering leads to translate complex legal workflows into robust agentic pipelines, and you'll own those systems end to end, from architecture to production.
We're looking for someone who thrives in ambiguous, fast-moving environments, picks up new technical domains quickly, and holds themselves to a high bar for code quality and system reliability.

Responsibilities
Design and implement multi-agent systems for legal and compliance use cases, including orchestration patterns, tool use, memory, and state management
Own agentic pipelines end to end: from requirements and architecture through deployment and iteration
Work closely with product, legal domain experts, and customers to understand workflows and translate them into technical solutions
Prototype quickly, gather real-world feedback, and iterate with discipline
Contribute to architectural decisions and help establish engineering best practices for AI systems
Communicate clearly with both technical teammates and non-technical stakeholders about system behavior, trade-offs, and progress

You may be a good fit if you
Have already designed and shipped AI agents in production, systems that plan, use tools, and operate with meaningful autonomy
Have a solid grasp of agent orchestration patterns (ReAct, multi-agent delegation, tool-calling loops, routing, parallelism, etc.)
Write clean, maintainable code and have strong software engineering fundamentals
Can quickly develop deep understanding of complex, unfamiliar technical or legal domains
Are proficient with modern web technologies (e.g. Python, TypeScript) and comfortable working across the stack
Communicate effectively with both technical and non-technical stakeholders, you can explain what an agent is doing and why to a lawyer as clearly as to an engineer
Have a high tolerance for ambiguity and a bias toward action

Strong candidates may also have
Experience with LLM orchestration frameworks (LangGraph, LlamaIndex, CrewAI, custom implementations, etc.)
Familiarity with RAG architectures and vector databases (e.g. Pinecone, Weaviate)
Background in legal, compliance, or other regulated domains
Experience building internal tooling or developer-facing platforms
Exposure to streaming architectures and real-time UI patterns for LLM output
A history of iterating directly with end users and incorporating feedback into system design
Hands-on experience with AWS services relevant to AI workloads (e.g. S3, Lambda, ECS/EKS, SageMaker, IAM) and comfort navigating cloud infrastructure independently

Representative Projects
Here's the kind of work you'd own at Aptus.AI :
Designing a multi-agent pipeline that routes legal queries to specialized sub-agents (case law retrieval, regulatory analysis, document drafting) and synthesizes a coherent response
Building an AI compliance assistant grounded in a proprietary risk matrix, capable of answering structured and open-ended questions about corporate liability
Creating the orchestration layer that decides whether a query needs fast single-step reasoning or a deeper, iterative research workflow
Developing full-stack tooling that lets non-technical legal experts inspect, evaluate, and give feedback on AI agent outputs

Why Aptus.AI
Legal AI is one of the most consequential domains where AI can have real impact, the work matters
You'll have high ownership and direct influence on product and architecture from day one
We're based in Pisa with a highly-flexible hybrid setup

We encourage applications from candidates who don't meet every single requirement. xjrgpwk If you're excited about the problem and bring strong fundamentals, we want to hear from you.
Per questa posizione sono disponibili opzioni di lavoro da remoto/a casa.

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