AI Engineer, Commercial

Church & Dwight is seeking an AI Engineer, Commercial to join the Commercial Agentic Pod team, where the focus is on designing, building, deploying, and scaling AI-powered products that help Commercial teams make decisions and operate more effectively. The role centers on large language models and generative AI, with primary accountability for dependable retrieval-augmented generation systems, agentic workflows, orchestration, and production integrations.

This hybrid position is based in Ewing, NJ and requires in-person attendance on Tuesdays, Wednesdays, and Thursdays, with remote work options on Mondays and Fridays.

What you’ll do

• Translate Commercial business needs into secure, scalable AI products that combine approved enterprise knowledge, structured and unstructured data, models, tools, permissions, and human oversight.
• Design, build, test, deploy, and maintain LLM and generative AI applications, including agentic workflows and orchestration patterns for planning, routing, tool use, memory, handoffs, and human-in-the-loop controls.
• Build and optimize RAG systems using vector databases, embeddings, chunking, indexing, metadata, hybrid search, reranking, grounding, and source attribution, including traceable ingestion and refresh processes.
• Develop reusable production prompts and integrations for generative AI APIs, enterprise services, applications, analytical models, workflow tools, and knowledge repositories.
• Create automated and human evaluations for accuracy, groundedness, safety, relevance, task completion, latency, cost, and usability, and monitor quality, adoption, incidents, and business outcomes.
• Identify hallucination, prompt injection, tool, retrieval, and operational risks, and implement guardrails and controls including authentication, authorization, logging, secrets management, and data controls.
• Apply strong engineering practices such as modular design, source control, code review, automated testing, documentation, release management, observability, and production support.
• Partner with Commercial stakeholders and teams across Data Science, GTA, architecture, data engineering, platform, security, privacy, and governance from discovery and prototyping through deployment, training, adoption, and continuous improvement.
• Ensure alignment with enterprise architecture and responsible AI standards, documenting architecture, controls, dependencies, procedures, limitations, and intended use.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, Engineering, Information Systems, or a related technical discipline required.
• 3+ years of experience in software engineering, machine learning engineering, AI engineering, data engineering, or a related discipline required.
• Hands-on experience building LLM and generative AI applications, including production prompt engineering, structured outputs, tool calling, model selection, APIs, evaluation, testing, monitoring, and optimization.
• Experience building enterprise RAG solutions with vector databases, embeddings, retrieval pipelines, knowledge sources, hybrid retrieval, reranking, grounding, and source attribution.
• Experience with agent frameworks, workflow orchestration, routing, handoffs, memory patterns, and human-in-the-loop controls.
• Proficiency in Python, REST APIs and SDKs, cloud AI services, source control, automated testing, authentication, and authorization.

Technical focus

• Generative AI: LLMs, prompt engineering, structured outputs, tool calling, model optimization.
• RAG & Agents: embeddings, vector databases, hybrid retrieval, reranking, grounding, orchestration, memory, human oversight.
• Engineering: Python, APIs, SDKs, cloud AI, authentication, source control, automated testing.
• AI Operations: evaluation, observability, safety, failure analysis, monitoring, latency and cost optimization.
• Governance: responsible AI, privacy, security, data governance, access controls, documentation, auditability.

Compensation

USD 71,000 - 101,100 per year.

Benefits

• Medical, dental, vision
• Basic life insurance
• Paid vacation and sick time
• Paid Parental Leave
• Paid holidays, floating holidays, and vacation days starting in their first year of employment depending on hire date
• 401k retirement plan (with company match and profit-sharing)
• Discounted Employee Stock Purchase Plan