Job Type: Full Time

Job Category: IT

Job Description

Job Title : AI Engineer - Agentic and Generative AI
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/DataRobot pipelines for repeatable, production grade data flows.
• Demonstrated proficiency with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, 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

Required Skills:

• 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 TypeScript development skills with production-grade code quality

Nice to have:

• Microsoft Copilot Experience.
• Solution Engineer/Architect Certifications.
• UiPath Experience (RPA and Agentic AI capabilities).

Required Skills