Forward Deployed Engineer- AI/ML

Responsibilities include:

• Customer interaction: Understand requirements and translate business problems into technical solutions.
• Hands-on coding: Build/customize applications, APIs, integrations, automation, or AI solutions.
• Deployment: Take solutions from POC/prototype into production.
• Integration: Connect the company's product with the customer's databases, APIs, cloud infrastructure, CRM/ERP, etc.
• Troubleshooting: Debug production issues and resolve technical problems in the customer's environment.
• Product feedback: Take learnings from customers back to the core engineering/product teams.
• End-to-end ownership: Often owns the journey from problem discovery through implementation and adoption.

Technical

• Strong coding, commonly Python, Java, SQL, etc.
• APIs and system integrations
• Cloud: Azure / AWS / GCP
• Backend or full-stack development
• Databases and data pipelines
• System design/debugging
• For AI FDE roles: LLMs, RAG, AI/ML deployment, MLOps, vector databases can be particularly relevant

Non-technical

• Excellent customer/stakeholder communication
• Ability to understand business problems
• Consulting/problem-solving mindset
• Comfortable with ambiguity
• Strong ownership
• Ability to explain technical concepts to business stakeholders