AI Platform Engineer for Banking Ops & Automation (Remote)

Skaleet; Boulogne-Billancourt; Hybride; EUR 90 000 - 130 000; Plein temps

Avantages offerts par ce poste

Remote work policy

25 days vacation

Alan Blue health insurance

Swile meal card

Office Boulogne-Billancourt

Entrepreneurial culture

Résumé du poste

Skaleet is seeking an AI/ML Engineer to join its new AI Team in Boulogne-Billancourt. You will build and own AI products, including banking agents operating in natural language and AI-powered automations across back-office processes.

You will ship production-ready AI in banking environments, focusing on reliability, scalability, and compliance, while collaborating with data engineers and product teams to continuously improve the platform.

Qualifications

• Minimum 5 years of software engineering experience, with hands-on production LLM-based agent systems.
• Strong Python backend skills: REST APIs, async, automated testing.
• Concrete experience with tool calling, RAG, agent context/memory management, and LLM quality evaluation.
• Fluency in French and English, both written and spoken.
• Master's degree in Computer Science, Machine Learning, AI, Engineering, or equivalent hands-on experience.

Responsabilités

• Build and ship Skaleet's AI products end to end, from prototypes to production deployment.
• Own the technical architecture of the agentic platform and integrate the latest advances in foundation models, agent frameworks and AI engineering.
• Design reliable agentic workflows combining LLMs, tools, banking data and human oversight.
• Define how agents reason, retrieve context, call tools, handle failures and collaborate to complete complex banking operations.
• Own AI quality, observability and evaluation, using traces, user feedback, annotated datasets, LLM-as-judge, calibration against human labels and regression gates.
• Build the integration layer between agents and Skaleet's platform: MCP servers and APIs, production-grade authentication, permission management, error handling, retries, idempotency and structured outputs.
• Develop the context and retrieval systems powering our agents: embeddings, vector search, hybrid retrieval, reranking and knowledge ingestion over Skaleet's product documentation and clients' business processes.
• Work closely with data engineers to make banking data usable by AI systems: data models, pipelines, interfaces, tenant isolation.
• Implement safeguards required for banking use cases: human validation gates, permission scoping, tenant isolation, audit trails, explainability, safe failure modes.
• Prototype quickly, iterate with banking operators, identify high-value use cases and improve the product based on real operational feedback.
• Evaluate and integrate the best available AI models and technologies based on quality, latency, cost, security and regulatory constraints.

Connaissances

Python backend

LLM agent systems

Tool calling & RAG

Observability & tracing

Guardrails

French & English

Formation

Master's degree in CS/ML

Outils

APIs (MCP)

LLM frameworks

Vector search

Description du poste

Skaleet is seeking an AI/ML Engineer to join its new AI Team in Boulogne-Billancourt. You will build and own AI products, including banking agents operating in natural language and AI-powered automations across back-office processes.

You will ship production-ready AI in banking environments, focusing on reliability, scalability, and compliance, while collaborating with data engineers and product teams to continuously improve the platform.