AI Engineer Agentic and Generative AI
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Job Location:
Morristown, NJ - USA
Monthly Salary:
Not Disclosed
Posted on:
11 hours ago
Vacancies:
1 Vacancy
Job Summary
Role: AI Engineer - Agentic and Genertative AI
Experience Required: 8- 10 Years.
Digital : Artificial Intelligence(AI)Digital : Google Data EngineeringAI Agents
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)
Experience Required: 8- 10 Years.
Digital : Artificial Intelligence(AI)Digital : Google Data EngineeringAI Agents
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)
Key Skills
- Business Development
- Athletics
- Domestic
- Front Office Management
- Environment Health And Safety
