📍 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 UsJoin 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 DoDesign 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
