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Open nowPosted 477 days ago

AI Python Engineer – Public-Safety Solutions

datapilot1 open role

Pay
$7,000 – $9,500 a month
Where
Poland
Work mode
Remote
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Your applicationOpen nowAI Python Engineer – Public-Safety Solutionsdatapilot · Poland

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  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 477 days ago

The posting

📍 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
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