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PEOPLE at@BRIGHTEN | Simplify your business. Together.

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 A2 A.
• Develop & deploy Production Code:
  Write high-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 real-world environments.
• Python Mastery & API Design:
  Deep experience with Python, Fast API, 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 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 multi-agent or task-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 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.

Seniority level

- Seniority level

Mid-Senior level

Employment type

- Employment type

Full-time

Job function

- Job function

Information Technology
- Industries

IT Services and IT Consulting and Business Consulting and Services

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