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AI Engineer, Commercial

Church & Dwight Ewing, NJ

Ewing, NJ

Today

$71k - $101k/yr Full time Agentic Ai Ai Agent Ai Agent Platform

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Job Description

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

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