Description :

- End-to-End Prototyping: Build cross-stack prototypes using ATLAS AI, CDF, and open-source AI frameworks to solve real customer challenges.

- Agent Workflow Design: Design and implement multi-agent workflows that combine LLMs, tool use, and reasoning over industrial data.

- Customer-Facing Execution: Collaborate directly with technical teams at customer sites to refine use cases and integrate solutions in real environments.

- Interactive UI Development: Build lightweight but powerful UIs that showcase value to executives and operators alike.

- System Integration: Orchestrate integration between GenAI components, CDF data models, and existing customer systems using scalable software practices.

- Evangelism & Enablement Translate technical solutions into compelling narratives that inspire stakeholders across both internal and external audiences.

What Were Looking For :

Must-Have Skills :

- 1+ years of experience in software engineering, AI solution architecture, or similar roles.

- Proven hands-on experience with GenAI systems (LLMs, embeddings, prompt chaining, etc.)

- Experience building LLM-driven or agent-based applications (e.g., LangChain).

- Ability to work across the stack and own the delivery of functional, user-facing solutions.

- Strong communication and storytelling skills for both technical and executive audiences.

- Proven ability to write clean, maintainable, and scalable code, following engineering best practices for testing, version control, and review.

- A maker mindset with bias toward rapid iteration, showing rather than telling, and learning by