Generative AI Platform Engineer Lisboa

Generative AI Platform Engineer
Lisboa
Lisboa, Lisboa, Portugal

Generative AI Platform Engineer (Hybrid — Lisbon)

About HCKD. ai

HCKD. ai, based in Portugal, builds
- edge solutions that turn
- source intelligence and proprietary
- learning models into rapid, actionable insights for
- stakes geopolitical challenges. We’re a
- moving team tackling some of the world’s most sensitive problems with technology that scales globally.

Role Overview

We’re looking for a Generative AI Platform Engineer to design, build and operate the
- service platform that powers our Retrieval-Augmented Generation (RAG) workflows,
- search infrastructure and LLM orchestration. You’ll be the bridge between data engineering, MLOps and backend engineering—owning everything from containerised services and API gateways to embeddings pipelines and Lang
Chain / Lang
Graph graphs.

Key Responsibilities

Architect & Implement Core Services

• Build containerised
  - services (Kubernetes/K3s) for embeddings, vector search, inference and data ingestion.
• Define g
  RPC / Open
  API interfaces for tools and plugins.

Own the Vector & RAG Stack

• Stand up and tune pgvector, Qdrant or Weaviate clusters.
• Implement retrieval pipelines (chunking, embeddings,
  - ranking) and integrate with Lang
  Chain / Lang
  Graph.

API & Gateway Engineering

• Develop and maintain API gateways (e. g. , Kong, Envoy) enforcing RBAC, JWT and
  - limiting.
• Expose platform capabilities to analysts and external partners.

CI/CD & Observability

• Ship automated Jenkins/Git
  Hub Actions pipelines, Helm charts and Ia
  C (Terraform).
• Instrument services with Open
  Telemetry, Grafana, Loki and alerting.

Performance & Security Hardening

• Optimise latency (cache layers, HNSW params, GPU scheduling).
• Enforce
  - governance and
  - tenant isolation down to row level.

Collaboration & Documentation

• Work
  -
  - hand with data scientists, analysts and product teams to translate requirements into resilient services.
• Champion best practices, code reviews and technical docs.

Required Skills & Experience

• 3 + years building production data or ML platforms (Python or Go; SQL & No
  SQL).
• Hands-on with vector databases (pgvector, Qdrant, Weaviate) and RAG frameworks (Lang
  Chain, Lang
  Graph, Llama
  Index, Haystack).
• Proven experience containerising and deploying services on Kubernetes or similar.
• Solid grasp of API design, JWT/OAuth, and
  - based access control.
• Comfortable running CI/CD pipelines and
  -
  - code (Terraform/Helm).
• Strong
  - solving skills; disciplined about testing, security and documentation.

Nice-to-Haves

• Experience with geospatial data, OSINT ingestion pipelines or streaming ETL.
• GPU scheduling (NVIDIA DCGM, KEDA), Triton or v
  LLM inference servers.
• Knowledge of Jenkinsfile Shared Libraries, Argo Workflows or Kubeflow.
• Familiarity with multilingual LLM evaluation, RAGBench/RAGAS.
• Background in international security, defence or
  - focused projects.

Why Join Us

• Work on meaningful,
  - impact problems affecting global stability and security.
• Collaborate with a diverse, expert team obsessed with technical excellence.
• Competitive compensation, flexible hybrid schedule (Lisbon HQ + remote).
• Continuous learning budget, conference stipends and rapid career growth.

Ready to architect the next generation of AI platforms? Apply now and help us deliver intelligent solutions for a safer,
- informed world.