AI & ML Engineer
About Us : Engineering AI That Solves Real Problems
We've developed an agentic AI platform designed to enhance human capabilities, and we're now focused on evolving its features.
By leveraging
- edge techniques, including LLMs and agentic architectures, we’re scaling
- ready solutions to solve complex with
- impact challenges.
Join our team to turn AI innovation from concept to reliable, working alongside skilled engineers and enterprise stakeholders that pursuit technical excellence.
What You'll Do : Build, Deploy, and Scale Intelligent Systems
As an AI & ML Engineer, you'll drive the full lifecycle of
- grade AI systems—from architecture to deployment.
Your key responsibilities:
- Develop & evolve our flagship Agentic AI Platform: Help build our enterprise agentic AI platform, focusing on core components such as agentic workflows, RAG systems and new protocols MCP and A2A.
- Develop & deploy Production Code: Write
- performance, reliable Python code using Fast
API/Pydantic to serve AI models and integrate them into our platform. - Optimize for performance: Fine-tune orchestration of LLMs and of proprietary models for efficient inference.
- Build AI Infrastructure: Proficiency in maintaining containerized deployment pipelines and infrastructure in cloud environments (AWS, GCP, Azure).
- Collaborate for Impact: Work closely with demanding key stakeholders and product teams to translate AI research into production features that multiply business outcomes.
Skills We Value:
We’re seeking engineers with proven experience deploying sophisticated AI/ML systems into production.
Core Skills:
- Strong AI/ML Engineering background: Track record building and maintaining AI systems in
- world environments. - Python Mastery & API Design: Deep experience with Python, Fast
API, and Pydantic for building
- performance APIs. - Advanced LLM Techniques: Hands-on experience with LLM orchestration, agentic workflows, and RAG-based architecture.
- Model Proficiency: Familiarity with Hugging
Face Transformers and deep learning frameworks like Py
Torch or Tensor
Flow. Experience with model tuning and evaluation. - Agentic System Design: Demonstrated experience architecting and implementing
- agent or
- based AI systems. - Vector Database Experience: Knowledge of vector stores for semantic search and retrieval.
- Cloud & Dev
Ops Know-How: Familiarity with cloud deployment (AWS, GCP, Azure), Docker, and automation tools (CI/CD, monitoring, and testing for ML pipelines).
Bonus Points:
- Experience with
- time inference systems or stream processing. - Contributions to
- source AI/ML projects. - Familiarity with distributed systems and
- protocol API integration.
Soft Skills That Matter:
- Clear communicator of complex technical ideas.
- Thrives in
- paced, agile environments. - Deep curiosity and passion for advancing AI in the real world.
Why Join Us? Tackle Hard Problems, Make a Difference
- Cutting-Edge Work: Focus on building novel AI systems with LLMs and agents that solve genuinely complex human problems.
- Ownership & High Impact: See your work deployed quickly and have significant ownership over key AI features.
- Exceptional Peers: Join a technically elite team solving hard problems every day.
- Informações detalhadas sobre a oferta de emprego
Empresa: Brighten Consulting Localização: Setúbal
Setúbal, Setubal, PortugalPublicado: 23. 5. 2025
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