Mid AI Engineer
Core
Build and ship internal AI services end-to-end, including data pipelines, models, and APIs for trading tools.
Role type
Mid-level IC AI Engineer (LLM/Backend)
Builds
Internal AI services, asynchronous REST APIs, microservices, and agent tool integrations.
Domain
FinTech / Trading Platforms / LLM Applications
Deliverable
production ML models
Required skills
Python, FastAPI, PostgreSQL, SQL, LLM application patterns (RAG, prompt design), Docker, Git, CI/CD, Kubernetes, AWS, model evaluation, drift monitoring, structured logging, Prometheus, OpenTelemetry, mentoring.
Preferred skills
Vector search (pgvector, OpenSearch, Qdrant), multi-agent frameworks (LangGraph, CrewAI, AutoGen, LlamaIndex), Model Context Protocol (MCP), model registries (MLflow), open-weight model serving (vLLM), analytical data stores (ClickHouse), observability tooling (Grafana, Langfuse), FinTech/FX trading experience.
Technologies
FastAPI, Kubernetes, PostgreSQL, pgvector, Prometheus, OpenTelemetry, AWS, Docker, Git, MLflow, vLLM, ClickHouse, Grafana, Langfuse, LangGraph, CrewAI, AutoGen, LlamaIndex, MCP.
Responsibilities
Develop asynchronous REST APIs and microservices to serve models and orchestrate agent tool calls; implement retrieval pipelines with chunking, embedding, and indexing; build and maintain training pipelines for data preparation, fine-tuning, and model registration; integrate agent tools and MCP endpoints with access controls; write evaluation sets and drift monitoring; instrument services with logging and tracing; review work of junior engineers and pair on delivery.
Seniority
Mid-level, hands-on IC with mentoring responsibilities.
