Software Engineer AI - Freelance
Pubblicato il 05-09-2026 - Bitrock in Firenze
Who we are Bitrock is a high-end consulting and system integration company, strongly committed to offering cutting-edge and innovative solutions. Our tailored consulting services enable our clients to preserve the value of legacy investments while migrating to more efficient systems and infrastructure. We take a holistic approach to technology: we consider each system in its totality, as a set of interconnected elements that work together to meet business needs. We thrive on overcoming challenges to help our clients reach their goals, by supporting them in the following areas: Data, AI & ML Engineering; Back-end Engineering, Platform Engineering, Front-end Engineering, Product Design & UX Engineering, Mobile App Development, Quality Assurance, FinOps, GovernanceThe effectiveness our solutions also stems from partnerships with key technology vendors, like HashiCorp, Confluent, Lightbend, Databricks, and Meterian. Who we are looking for We are looking for a pragmatic and highly skilled Software Engineer (AI / LLM focus) to join a high-impact, small, and high-trust team within a fast-paced Fintech context. This is a hands-on backend engineering role designed for someone who has successfully shipped and operated LLM-powered applications in production. You will bridge advanced AI capabilities with robust, scalable, and secure backend systems. We need someone who not only writes clean production code but also brings strong architectural vision, strategic thinking, and the confidence to drive technical decisions in complex environments. Role Overview As a Software Engineer in the AI team, you will design, write, and operate core backend microservices integrating cutting-edge AI technologies.
You will build production-ready systems, implementing orchestration frameworks, RAG pipelines, evaluations, and guardrails—all while maintaining high standards for security, performance, cost/latency trade-offs, and data governance. Key Responsibilities Production AI Systems: Build, deploy, and maintain scalable LLM-driven features in production environments. Backend & System Design: Write production-grade backend services, applying strong software architecture design patterns and event-driven architectures. AI Tooling & Orchestration: Implement RAG pipelines, evaluation frameworks, guardrails, and agentic workflows using the modern AI tooling landscape. Security & Governance: Design system architectures with strict identity, access control, and privacy standards for sensitive fintech data. Strategic Collaboration: Act as a technical voice in cross-functional discussions, challenging assumptions and aligning engineering implementation with business strategy. Required Skills & Experience Must-Have: Production LLM Experience: Proven track record of shipping and operating LLM-based features in production. Backend Mastery: Strong hands-on engineering background writing reliable, production-ready backend services. TypeScript: Native fluency in TypeScript. Functional Programming:
Deep familiarity with functional programming principles (Scala exposure is a major plus). Architecture & Messaging: Solid expertise in software architecture design patterns and Event-Driven Architectures (e.g., Kafka, Event Sourcing, async messaging). AI Engineering Stack: Hands-on experience with orchestration frameworks, modern RAG patterns, automated evaluations (evals), and safety guardrails. Governance & Security: Clear understanding of identity, access management (IAM), and strict data governance when integrating LLMs with sensitive systems. Pragmatism: Strong judgment on cost vs. latency trade-offs and pragmatic model selection. Strategic Mindset: Comfortable shaping technical direction, speaking up in strategic conversations, and pushing back when necessary. Nice-to-Have: Direct experience in regulated industries (Financial Services, Healthcare, Legal). Working knowledge of Scala (to seamlessly integrate with our backend Scala services). Familiarity with Python. Understanding of European data & privacy frameworks (GDPR, FCA expectations). Full-stack or Mobile breadth (as the broader ecosystem spans Web and Mobile). Experience in small, high-trust engineering teams where engineers directly influence product and strategy. Contract Details Type: Freelance (Contractor) Start Date: Immediate / ASAP Duration: Long-term project (until June 30, 2027) Location: 100% Full Remote Recruitment Process Our recruitment process has 3 stages: First discovery short interview with our HR team Technical interview with our Team Leaders Final interview with our Client How to apply You can apply directly via LinkedIn or send your CV to