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

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.

• 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).

• 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

• Helm / Kustomize, Terraform

• Azure (AKS, OpenAI Service) or AWS (SageMaker, Bedrock)

• gRPC, event-driven architecture (Kafka / RabbitMQ)

• Experience with Guardrails AI, LlamaFirewall, PyTorch Lightning

• Technical ownership and attention to documentation

• Clear communication in a distributed team (ENG B2+)

• Focus on security, performance, and regulatory compliance

• 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