AI Python Engineer – Public-Safety Solutions

📍 Location: Remote (PL / EU)

💰 Compensation (B2B): To be agreed (proposed 25–35k PLN net B2B). All travel expenses covered.

📝 Contract Type:Full-time

• B2B

📈 Seniority Level: Senior / Principal

🧰 Tech Stack Tags

Python · FastAPI · Docker · K8s · LangChain · LlamaIndex · LLM · HuggingFace · Cursor · Windsurf · Qdrant · gRPC · Azure/AWS · MLOps

🏢 About Us 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,
• and 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.

🎯 What You’ll Do

• 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).

🔧 Must-Haves

• 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

🌟 Nice-to-Haves

• Helm / Kustomize, Terraform
• Azure (AKS, OpenAI Service) or AWS (SageMaker, Bedrock)
• gRPC, event-driven architecture (Kafka / RabbitMQ)
• Experience with Guardrails AI, LlamaFirewall, PyTorch Lightning

🤝 Soft Skills

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

🎁 What We Offer

• 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