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
Preferred skills
Vector search (pgvector, OpenSearch, Qdrant), Multi-agent frameworks (LangGraph, CrewAI, AutoGen), Model Context Protocol (MCP), Model registries (MLflow), Open-weight model serving (vLLM), Analytical data stores (ClickHouse), Observability (OpenTelemetry, Grafana, Langfuse)
Technologies
FastAPI, Kubernetes, PostgreSQL, pgvector, Python, Docker, Git, AWS, Prometheus, OpenTelemetry
Responsibilities
Develop asynchronous REST APIs and microservices to serve models and orchestrate agent tool calls; Implement retrieval pipelines with chunking, embedding, indexing, and retrieval tuning; Build and maintain training pipelines for data preparation, fine-tuning, evaluation, and model registration; Integrate agent tools and MCP endpoints with access controls; Write evaluation sets, structural output checks, and drift monitoring; Instrument services with structured logging, metrics, and tracing; Review work of junior engineers and trainees.
Seniority
Mid-level, hands-on IC
