[Hiring] AI Python Engineer @Data Pilot

Role Description

Join a team building some of the most advanced AI systems in the world. We develop core IT solutions supporting federal agencies and law enforcement in the U.S., where technology truly makes a difference. Our systems leverage:

• The latest advancements in natural language processing (NLP)
• Multimodal AI analyzing text, images, and sound
• Intelligent decision automation enabling real-time response

These are systems that detect threats faster, analyze evidence more efficiently, and support humans in making the right calls—when every second counts. Our solutions run in high-security environments: air-gapped or in private cloud deployments, compliant with CJIS and FISMA standards—ensuring full data privacy and integrity.

Qualifications

• 8+ years Python 3.x (FastAPI / Django / Flask)
• 2+ years hands-on with LLMs (OpenAI, Azure OpenAI, Anthropic) and self-hosted models (Llama 3/4, Mistral)
• Experience building RAG, hybrid search systems and agents using LangChain / LlamaIndex / LangGraph
• Experience with Vector DBs (Qdrant / Milvus / Pinecone) and agent frameworks (LangGraph, CrewAI)
• Docker (multi-stage) + Kubernetes, including Helm or Kustomize
• Strong understanding of HTTP/REST, CI/CD (GitHub Actions / GitLab CI), and security-by-design principles

Requirements

• Design and maintain microservices (REST/gRPC) exposing AI models via API
• Package and deploy models (vLLM, Ollama, HF Transformers) with Docker + CI/CD
• Build advanced retrieval pipelines combining RAG and hybrid dense‑sparse search (BM25 + embeddings, multi‑vector, re‑ranking) using Qdrant/Weaviate/Pinecone/Elasticsearch and frameworks like LangChain, LlamaIndex, LangGraph
• Perform fine-tuning, quantization, and RLHF/RLAS on Llama 3/4, Qwen, Mistral (datasets, experiments, evaluation)
• Create prompt tooling (templates, guardrails, eval harnesses) and benchmarking aligned with CJIS requirements
• Implement model quality monitoring (latency, token cost, hallucination rate) and security policies (Guardrails AI, LlamaFirewall)
• Integrate with SIEM/SOC systems and databases (Elasticsearch, PostgreSQL)
• Co-develop MLOps standards, testing, logging, observability (Prometheus, Grafana)
• Work with security teams on audits and certifications (CJIS, FedRAMP)
• Optional business travel to Japan (Roppongi Hills, Tokyo) and the United States (Irvine, California)

Benefits

• Real impact — your code will support law enforcement in fighting crime and saving lives
• 100% remote work + flexible hours (core overlap 10:00–15:00 CET)
• Access to a private LLM environment + GPU cluster (for feature-flagged demos)
• Training budget + participation in international Python/AI conferences

Soft Skills

• Technical ownership and attention to documentation
• Clear communication in a distributed team (ENG B2+)
• Focus on security, performance, and regulatory compliance