About The Role

Join our team as a Senior Software Engineer (AI/ML, Infrastructure & Platform) and play a crucial role in building the foundational systems that power our next generation of AI applications. In this systems-focused role, you will design and build the platforms, abstractions, and infrastructure that enable teams to reliably develop, deploy, and scale AI systems. Your work will directly enable product teams to move faster while ensuring our AI systems are reliable, observable, secure, and cost-efficient.

Concevoir et construire des plateformes, des abstractions et des infrastructures qui permettent aux équipes de développer, déployer et mettre à l'échelle des systèmes d'IA de manière fiable.
Développer des services partagés et des abstractions utilisés dans plusieurs applications d'IA, y compris les pipelines de récupération et les intégrations de modèles.
Construire des infrastructures pour prendre en charge des agents multi-étapes, y compris la gestion de l'état, le routage des outils, les tentatives de reprise et la gestion des échecs.
A degree in Computer Science, Engineering, or a related quantitative field (or equivalent practical experience)
Proficiency in Python, TypeScript, C#, and comfort working across a polyglot stack, picking up new languages and frameworks as needed
Experience building backend systems, APIs, or infrastructure platforms
Experience working with AI/ML systems in production, including LLM integrations or data pipelines
Ability to operate in ambiguous, fast-moving environments with high ownership
Experience designing or integrating systems with tool/skill abstractions (e.g., function calling, APIs, or capability layers used by AI systems)
Strong software engineering fundamentals, including system design, distributed systems, and writing maintainable code
Proven track record of building and operating production systems at scale
GCP (Cloud Run) or AWS (ECS, Lambda)
Experience with:
Familiarity with data privacy and security techniques (e.g., PII handling, redaction)
Experience building AI platforms or infrastructure layers (not just applications)
Evaluation and observability tooling for AI systems
RAG systems, vector databases (e.g., Pinecone, Weaviate, pgvector)
You care about how AI systems behave in production at scale
Experience designing or building tooling layers (skills/capabilities) for AI systems
You enjoy building systems and platforms that other engineers depend on
You think in terms of abstractions, capabilities, and reusable systems
Agent orchestration frameworks (e.g., LangGraph, LangChain, or custom systems)
Experience with cloud infrastructure such as:
Experience working in regulated domains (LegalTech, FinTech, HealthTech)
You take ownership of ambiguous problems and drive them to robust solutions
Experience with event-driven systems, queues, and async processing
Containerized or serverless deployments
You’re comfortable working across AI systems and infrastructure layers
Experience designing scalable distributed systems or platform abstractions
Experience with MLOps, CI/CD, and production monitoring

This is an external listing. JobSpring does not represent or verify the employer. Report this listing