Translate ambiguous requirements into structured engineering plans with clear milestones and success criteria* Contribute to playbooks, best practices, and technical blog posts**Qualifications****Required*** 8-12+ years engineering experience; 3+ years in customer-facing or FDE roles* Proven track record deploying AI/ML or data-intensive applications in production* Strong full-stack skills: Python, Node.js/Go, React/Vue, SQL, REST/GraphQL* DevOps proficiency: Docker, Kubernetes, CI/CD, and major cloud platforms* Expertise in LLMs, Prompt Engineering, Vector DBs, RAG pipelines, and Agentic orchestration frameworks* Agentic / Integrations: MCP, Salesforce/ SAP/ Other* Excellent communication with both technical and executive stakeholders* Mentorship capability and collaborative team-first mindset* BS / MS / PhD in Computer Science, Data Science, or related field**Preferred*** SLM fine-tuning and/or distillation experience* Hands-on with dedicated Agentic AI platforms (e.g. Agentforce, Co...