Empresa:

Brighten Consulting

Descrição da Função

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 cutting-edge techniques, including LLMs and agentic architectures, we're scaling enterprise-ready solutions to solve complex with high-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 production-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 high-performance, reliable Python code using FastAPI/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 real-world environments.
• Python Mastery & API Design: Deep experience with Python, FastAPI, and Pydantic for building high-performance APIs.
• Advanced LLM Techniques: Hands-on experience with LLM orchestration, agentic workflows, and RAG-based architecture.
• Model Proficiency: Familiarity with HuggingFace Transformers and deep learning frameworks like PyTorch or TensorFlow. Experience with model tuning and evaluation.
• Agentic System Design: Demonstrated experience architecting and implementing multi-agent or task-based AI systems.
• Vector Database Experience: Knowledge of vector stores for semantic search and retrieval.
• Cloud & DevOps 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 real-time inference systems or stream processing.
• Contributions to open-source AI/ML projects.
• Familiarity with distributed systems and multi-protocol API integration.

Soft Skills That Matter:

• Clear communicator of complex technical ideas.
• Thrives in fast-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.

Observações

Lisboa (Portugal)