AI Engineer - Agentic and Generative AI
Job in
Morristown, Morris County, New Jersey, 07962, USA
Listed on 2026-06-03
Listing for:
AceStack
Full Time
position Listed on 2026-06-03
Job specializations:
-
Software Development
AI Engineer, Machine Learning/ ML Engineer, Data Scientist
Job Description & How to Apply Below
Location :
Morristown, NJ (Onsite)
Fulltime
Key responsibilities:
- Own day to day operations for agentic and generative AI solutions: maintain and enhance LLM/chatbot agents, refine routing and handoff patterns, and drive regular model re training and calibration cycles.
- Partner with ML Engineering to provide L2/L3 production support for AI agents-triage incidents, perform root cause analysis, and implement fixes and hot patches within MLOps guardrails.
- Design and implement high quality prompts, agent policies, and tool integrations; optimize intents, guardrails, and safety filters; build offline/online evaluation frameworks (A/B testing, regression suites, human in the loop reviews).
- Collaborate with Data Engineering to source, curate, and govern training and evaluation datasets; operationalize SharePoint → Snowflake/Data Robot pipelines for repeatable, production grade data flows.
- Demonstrated proficiency with LLM orchestration frameworks (e.g., Lang Chain, Llama Index, or similar) and retrieval augmented generation (RAG) patterns.
- Build and iterate end to end workflows for generative and agentic AI use cases, including integration with upstream systems, APIs, and downstream channels (web, mobile, contact center, voice).
- Experience delivering agentic/RAG, conversational AI, or Voice AI solutions in regulated Financial Services environments, with exposure to customer experience journeys, credit risk/underwriting workflows, or fraud/collections processes.
- Exhibit strong attention to detail, ownership, and operational excellence in how AI agents are designed, monitored, and improved over time.
- Required Experience:
2 - 3 Years of Experience
- 2+ years of experience building production AI/ML applications or agents.
- Strong experience with LLM frameworks (langchain/langgraph, or similar) for building agent-based applications.
- Strong experience with state management (short-term and long-term memory).
- Experience designing and implementing evaluation frameworks for AI applications (LLM-as-judge, deterministic evaluators).
- Strong prompt engineering skills with experience in optimization, externalization, and A/B testing.
- Experience with vector stores, RAG patterns, and knowledge organization.
- Experience with MCP/tool integration, API design, and error handling patterns.
- Strong Python and/or Type Script development skills with production-grade code quality
- Microsoft Copilot Experience.
- Solution Engineer/Architect Certifications.
- UiPath Experience (RPA and Agentic AI capabilities).
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