Enter a job title or keyword

Lead AIML Engineer

Tek Leaders Inc


Job Location:

New York City, NY - USA

Monthly Salary: Not provided by the employer
Posted: 11 September 2026 (2 days ago)
Application Deadline: 9 December 2026
Vacancies: 1 Vacancy

Job Summary

Hello

Hope you are doing well

Job Title: Lead AI/ML Engineer

Location - Onsite - NYC NY

Job Description :

  • We 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 Responsibilities

  • Foundations & Local Sandbox Development Build 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 Architecture Architect and deploy language-agnostic RPC endpoints to systematically invoke GTM agents within the ecosystem.
  • Build resilient production pipelines supporting parallel inference execution across 1000 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 Validation Author 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 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.
  • Work Experience 5-7Years

Thanks


Required Skills:

AI/MLHarnessGenerative AI agentsCloud GTMLLMcutting-edge LLM evaluationData Integrityeliminate regressionsscale our GTM agent capabilitiesRPCModel Context ProtocolMCPSQL queriesJSONPub/SubCRM writesSQL analyticsHydra ETL pipelines