Job
Core
Build and ship internal AI services end-to-end, including data pipelines, models, and APIs for other teams.
Role type
Mid-level Machine Learning Engineer (LLM/AI Services)
Builds
Internal AI services, asynchronous REST APIs, microservices, and agent tool integrations.
Domain
FinTech / Financial Markets / AI Infrastructure
Deliverable
production ML models
Required skills
Python, FastAPI, PostgreSQL, SQL, LLM application patterns, Docker, Git, CI/CD, Kubernetes, AWS, Model Evaluation, Drift Monitoring
Preferred skills
Vector search (pgvector, OpenSearch, Qdrant), Multi-agent frameworks (LangGraph, CrewAI, AutoGen, LlamaIndex), Model registries (MLflow), Open-weight model serving (vLLM), ClickHouse, Observability tooling (OpenTelemetry, Grafana, Langfuse), FinTech platforms
Technologies
FastAPI, Kubernetes, PostgreSQL, pgvector, Python, Docker, Git, AWS, Prometheus, OpenTelemetry
Responsibilities
Develop asynchronous REST APIs and microservices; Implement retrieval pipelines with chunking, embedding, and indexing; Build and maintain training pipelines; Integrate agent tools and MCP endpoints; Write evaluation sets and drift monitoring; Instrument services with logging and metrics; Review work of junior engineers and trainees.
Seniority
Mid-level, hands-on IC
