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Lead Generative AI Evaluation Engineer- 7+ yrs- New York, United States- Onsite

iMedhas Consulting Services

New York, New York • Today

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Contract, Third Party

Depends on Experience

Senior Data Engineer – AI/ML- 7+ yrs- New York, United States- Onsite

iMedhas Consulting Services

New York, New York • 2d ago

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Third Party, Contract

Depends on Experience

Full Stack GenAI Engineer Python- 7+ yrs- New York, United States- Onsite

iMedhas Consulting Services

New York, New York • Today

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Contract, Third Party

Depends on Experience

Senior Conversational AI / GenAI Architect

HAN IT Staffing Inc.

New York, New York • 14d ago

Easy Apply

Contract

Depends on Experience

AI Quality Engineer Lead - Hybrid NYC

Randstad Digital

New York, New York • Today

Contract

USD70 - USD73

Senior Generative AI Engineer - Remote

Genesis10

Remote or New York, New York • Today

Easy Apply

Full-time

USD 200,000.00 - 240,000.00 per year

Lead Generative AI Developer

Citi

New York, New York • Today

Full-time

USD 176,720.00 - 265,080.00 per year

Lead Generative AI Developer

Citi

New York, New York • Yesterday

Full-time

USD 176,720.00 - 265,080.00 per year

Senior Generative AI Developer

Citi

New York, New York • Today

Full-time

USD 142,320.00 - 213,480.00 per year

Machine Learning Engineer, Senior Manager

Credit Acceptance Corporation

New York, New York • 17d ago

Full-time

USD 184,354.00 - 270,386.00 per year

Senior Product Engineer - Growth & Monetization

LangChain, Inc

New York, New York • Today

Full-time

USD 175,000.00 - 240,000.00 per year

Senior / Staff AI Engineer

Snorkel AI

New York, New York • Today

Full-time

Lead AI Technical Product Manager

Humana Inc

New York, New York • 22d ago

Full-time

USD 151,600.00 - 208,400.00 per year

Sr. Manager, AI Engineer (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation)

Capital One

New York, New York • Today

Full-time

Senior Software Engineer, AI (New York)

Fitch Group

New York, New York • Today

Full-time

USD 140,000.00 - 150,000.00 per year

Senior Python AI Engineer (Hands-On), VP

Citi

New York, New York • Yesterday

Full-time

USD 142,320.00 - 213,480.00 per year

Senior Solutions Architect II, AI/ML

DigitalOcean

New York, New York • Today

Full-time

USD 150,000.00 - 186,000.00 per year

Lead Applied AI Engineer for Banking Technology

Citi

Jersey City, New Jersey • Today

Full-time

USD 176,720.00 - 265,080.00 per year

Lead Director, Data Science - Clinical AI

CVS Health

Remote or New York, New York • Today

Full-time

USD 144,200.00 - 288,400.00 per year

Senior AI Engineer - Vice President

Citi

Jersey City, New Jersey • Today

Full-time

USD 142,320.00 - 213,480.00 per year

Lead AI Engineer for Sales Assistant Platform Technology - Lead Software Engineer

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

Full Stack Lead Software Engineer- Python

JPMorgan Chase & Co.

New York, New York • Today

Full-time

USD 156,750.00 - 215,000.00 per year

Senior Agentic AI Engineer II - Global Infrastructure

American Express

New York, New York • Today

Full-time

USD 123,000.00 - 215,250.00 per year

Senior AI Engineer, Banking Technology

Citi

Jersey City, New Jersey • Today

Full-time

USD 142,320.00 - 213,480.00 per year

Senior AI Engineer

Career Movement

New York, New York • Today

Full-time

Senior Generative AI Engineer

Citi

New York, New York • Yesterday

Full-time

USD 142,320.00 - 213,480.00 per year

Applied AI ML Senior Associate -AI Agents & Agentic Systems

JPMorgan Chase & Co.

New York, New York • Today

Full-time

USD 137,750.00 - 195,000.00 per year

Sr. Gen AI Engineer

Photon

New York, New York • Today

Easy Apply

Full-time

Depends on Experience

Senior Generative AI Engineer

Citi

New York, New York • Today

Full-time

USD 142,320.00 - 213,480.00 per year

Software Engineer Associate III - Databricks

JPMorgan Chase & Co.

New York, New York • Today

Full-time

iMedhas Consulting Services

Job Details

Skills

Generative AI agents deployed across our Cloud GTM space (e.g.
deep research
conversational analytics
pipeline forecasting).In this role
you will transition our AI evaluations from manual human reviews to high-throughput automated pipelines backed by LLM-as-a-Judge and targeted human audits. You will work at the intersection of enterprise software engineering
distributed computing
and cutting-edge LLM evaluation frameworks to ensure data integrity
eliminate regressions
and scale our GTM agent capabilities.Key ResponsibilitiesFoundations & Local Sandbox DevelopmentBuild robust golden datasets extracted from UAT logs and utilize frontier models to synthetically generate variations (typos
phrasing
syntax) for robust testing.Production Pipeline Automation & System ArchitectureArchitect and deploy language-agnostic RPC endpoints to systematically invoke GTM agents within the ecosystem.Build resilient production pipelines supporting parallel inference execution across 1
000+ trajectory datasets in under 15 minutes.Stand up a centralized Model Context Protocol (MCP) logging server to capture raw prompts
tool trajectories
SQL queries
and token costs using strict JSON schemas.Implement asynchronous message queues (Pub/Sub) for rate-limiting/backpressure
along with retry policies for network and generation failures.Skill Benchmarking & Trajectory ValidationAuthor eval test suites to isolate specific agent competencies (e.g.
CRM writes
SQL analytics).Inject sandboxed mocks to validate tool-calling logic without producing live CRM side effects or executing heavy database reads.Stream execution logs for baseline delta analysis and capability scoring.Enterprise Analytics
Governance & Security (Phase 4)Build low-latency Hydra ETL pipelines to stream structured evaluation JSON records into data warehouses and construct Plx analytics dashboards

Generative AI agents deployed across our Cloud GTM space (e.g.
deep research
conversational analytics
pipeline forecasting).In this role
you will transition our AI evaluations from manual human reviews to high-throughput automated pipelines backed by LLM-as-a-Judge and targeted human audits. You will work at the intersection of enterprise software engineering
distributed computing
and cutting-edge LLM evaluation frameworks to ensure data integrity
eliminate regressions
and scale our GTM agent capabilities.Key ResponsibilitiesFoundations & Local Sandbox DevelopmentBuild robust golden datasets extracted from UAT logs and utilize frontier models to synthetically generate variations (typos
phrasing
syntax) for robust testing.Production Pipeline Automation & System ArchitectureArchitect and deploy language-agnostic RPC endpoints to systematically invoke GTM agents within the ecosystem.Build resilient production pipelines supporting parallel inference execution across 1
000+ trajectory datasets in under 15 minutes.Stand up a centralized Model Context Protocol (MCP) logging server to capture raw prompts
tool trajectories
SQL queries
and token costs using strict JSON schemas.Implement asynchronous message queues (Pub/Sub) for rate-limiting/backpressure
along with retry policies for network and generation failures.Skill Benchmarking & Trajectory ValidationAuthor eval test suites to isolate specific agent competencies (e.g.
CRM writes
SQL analytics).Inject sandboxed mocks to validate tool-calling logic without producing live CRM side effects or executing heavy database reads.Stream execution logs for baseline delta analysis and capability scoring.Enterprise Analytics
Governance & Security (Phase 4)Build low-latency Hydra ETL pipelines to stream structured evaluation JSON records into data warehouses and construct Plx analytics dashboards

Summary

Job Description :

About the RoleWe are seeking a Lead AI/ML Engineer to architect, build, and operationalize a full-lifecycle, automated evaluation harness for non-deterministic Generative AI agents deployed across our Cloud GTM space (e.g., deep research, conversational analytics, pipeline forecasting).In this role, you will transition our AI evaluations from manual human reviews to high-throughput automated pipelines backed by LLM-as-a-Judge and targeted human audits. You will work at the intersection of enterprise software engineering, distributed computing, and cutting-edge LLM evaluation frameworks to ensure data integrity, eliminate regressions, and scale our GTM agent capabilities.Key ResponsibilitiesFoundations & Local Sandbox DevelopmentBuild robust golden datasets extracted from UAT logs and utilize frontier models to synthetically generate variations (typos, phrasing, syntax) for robust testing.Production Pipeline Automation & System ArchitectureArchitect and deploy language-agnostic RPC endpoints to systematically invoke GTM agents within the ecosystem.Build resilient production pipelines supporting parallel inference execution across 1,000+ trajectory datasets in under 15 minutes.Stand up a centralized Model Context Protocol (MCP) logging server to capture raw prompts, tool trajectories, SQL queries, and token costs using strict JSON schemas.Implement asynchronous message queues (Pub/Sub) for rate-limiting/backpressure, along with retry policies for network and generation failures.Skill Benchmarking & Trajectory ValidationAuthor eval test suites to isolate specific agent competencies (e.g., CRM writes, SQL analytics).Inject sandboxed mocks to validate tool-calling logic without producing live CRM side effects or executing heavy database reads.Stream execution logs for baseline delta analysis and capability scoring.Enterprise Analytics, Governance & Security (Phase 4)Build low-latency Hydra ETL pipelines to stream structured evaluation JSON records into data warehouses and construct Plx analytics dashboards

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91143549
Position Id: 5014-31204-1790785891
Posted 4 hours ago

Company Info

About iMedhas Consulting Services

Welcome to iMedhas Consulting Services. We are an IT consulting and services enterprises with precision expertise in Digital Transformations, Big data and Analytics. Through our expert team, we provide greater adaptabilities to disseminate with new technologies to increase the overall productivity, operational efficiency, and productivity of a particular business process of an organization.

The goal is the achievement of higher customer satisfaction and providing lucrative returns on investment to the business. On the other hand, we deliver content management expertise, ERP (SAP) systems integration, EAI, and Information Management services.

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New York, New York

•

Today

Job Description :Full Stack Engineer (Python must):Design, develop, test, deploy, and support end-to-end AI-powered enterprise applications and digital solutions.Build modern frontend applications using React, Angular, TypeScript, HTML5, CSS, and responsive UI frameworks.Develop scalable backend services using Java, Spring Boot, .NET, C#, Node.js, Python, and microservices architectures.Design, develop, and integrate RESTful APIs, GraphQL services, and enterprise integrations across internal and

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Contract, Third Party

Depends on Experience

Senior Data Engineer – AI/ML- 7+ yrs- New York, United States- Onsite

New York, New York

•

2d ago

Job Description : This USA new hire is for a Data Engineer to support the Claims AI 10.0 Scaling Opportunities (Hemsley AI 10.0 initiative scaling to E&I UNET USP and DisputesJob DescriptionWe are seeking a highly skilled Data Engineer to support the design development and scaling of data pipelines and data foundations for AI-driven claims solutions This role will focus on building robust scalable and efficient data processing capabilities that enable AI/ML automation reporting and analytics acr

Easy Apply

Third Party, Contract

Depends on Experience