(M/F)

Job ID: BC107

We are developing an AI platform powered by intelligent agents that augment human capabilities. Leveraging cutting-edge technologies such as LLMs and agentic architectures, we build robust enterprise solutions to tackle complex challenges. We are looking for an AI & ML Engineer to lead the development of enterprise-grade AI systems — from architecture to implementation.

Responsibilities:

• Agentic AI Platform Development: Contribute to the evolution of components such as agentic workflows, RAG systems, and protocols like MCP and A2A.
• Production-Grade Code: Write reliable and efficient Python code using FastAPI and Pydantic to serve AI models and integrate them into the platform.
• Performance Optimization: Tune the orchestration of LLMs and proprietary models to ensure efficient inference.
• AI Infrastructure: Maintain containerized deployment pipelines and cloud infrastructure (AWS, GCP, Azure).
• Impactful Collaboration: Work with product teams and stakeholders to turn research into features that deliver real business value.

 Skills & Qualifications:

• Proven experience deploying AI/ML systems in production.
• Strong proficiency in Python and API design with FastAPI and Pydantic.
• Hands-on knowledge of LLMs, agentic workflows, and RAG architecture.
• Experience with frameworks like HuggingFace, PyTorch, or TensorFlow.
• Ability to fine-tune and evaluate AI models.
• Experience designing multi-agent or task-oriented systems.
• Familiarity with vector databases and semantic search.
• Experience with cloud deployment (AWS, GCP, Azure), Docker, and CI/CD tools.
• Bonus: Experience with real-time inference, open-source projects, and multi-protocol API integration.
• Strong technical communication skills.
• Comfortable in agile, fast-paced environments.
• Curiosity and passion for applying AI to real-world problems.