AI Deployed/Automation Engineer

Job Details: AI Automation & Agentic AI Engineer

Top Must-Have Skills

1. Hands-On Agentic AI / Generative AI Development

• Experience building AI agents, AI workflows, or automation solutions using LLMs.

• Experience integrating AI tools through APIs, not just using ChatGPT, Claude, or other web interfaces.

• Ability to deploy AI solutions into a real business process or production-like environment.

• Understanding of prompt design, tool use, data retrieval, workflow orchestration, and automation logic.

• Experience with RAG, AI agents, LLM application development, or AI-powered process automation is strongly preferred.

2. Strong SQL Experience

• Advanced SQL skills for querying, joining, manipulating, and validating data.

• Ability to work with structured datasets and support AI applications with clean, usable data.

• Comfortable solving SQL problems during a technical interview.

• Ability to explain SQL logic clearly and troubleshoot data issues.

3. Snowflake Experience  or Similar

• Hands-on Snowflake experience is highly preferred and prioritized.

• Snowflake experience will help the candidate hit the ground running faster.

• Snowflake AI, Cortex, Snowpark, or Snowflake-based AI automation experience is a major plus.

• General SQL is acceptable, but candidates with direct Snowflake experience will be ranked higher than candidates with SQL only.

•  Google BigQuery, Amazon Redshift, or Databricks.

4. API Integration and Automation Experience

• Experience connecting applications, databases, and AI models through APIs.

• Ability to automate manual workflows using scripts, services, or AI-enabled tools.

• Comfortable working across systems to move data, trigger actions, and produce useful outputs.

5. Consultative Problem Solving and Stakeholder Empathy

• Ability to understand the business need behind a request.

• Strong communication skills with technical and non-technical stakeholders.

• Ability to uncover the actual issue that needs to be solved, not just accept the first stated request.

• Empathy is a key soft skill for this role, meaning a deep understanding of user needs, workflow pain points, and the true problem behind a request.