GenAI/Data Engineer

Capgemini • Atlanta, GA

1d • Remote

About The Position

We are looking for a skilled and innovative Senior Data Engineer to join our growing data and AI team. In this role, you will be responsible for building scalable data infrastructure, ensuring data quality, and driving the integration of cutting-edge AI and agentic systems into our data platform.

Requirements

• 4 years of experience in Data Engineering or a related field.
• Proficiency in SQL, Python, and distributed data frameworks (Spark, Databricks, etc.).
• Hands-on experience with cloud data platforms (AWS, GCP, or Azure).
• Familiarity with LLMs, vector databases, and AIML pipelines.
• Strong understanding of data modeling, data quality, and observability principles.

Nice To Haves

• Experience building agentic or multi-agent AI systems.
• Knowledge of RAG pipelines, embeddings, and prompt engineering.
• Familiarity with tools like LangChain, LlamaIndex, or similar frameworks.

Responsibilities

• Build robust data models, schemas, and transformations that support analytics and AI workloads.
• Ensure strong data quality, reliability, lineage, and observability across the platform.
• Design and maintain scalable data pipelines for batch and real-time processing.
• Design and support Agentic AI systems, including autonomous agents capable of reasoning, planning, and acting.
• Implement tool usage, memory management, and feedback/self-refinement loops.
• Architect and manage multi-agent orchestration and task decomposition.
• Integrate LLMs into data pipelines for reasoning, enrichment, and automation.
• Partner with ML and AI teams to productionize agent-driven use cases.
• Support AI patterns such as RAG, embeddings, and prompt engineering.

Benefits

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed