Embedded AI Engineer, Production Systems for Enterprise

OpenTalent

New York (NY)

On-site

USD 150,000 - 215,000

Full time

14 days+
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Job summary

OpenTalent is seeking a Deployed Engineer to join our Professional Services team, working directly with enterprise customers to design reliable production agent systems and translate complex workflows into concrete software specifications. You will collaborate with client engineers to define architectures, evaluation plans, and deployment strategies.

You will embed with client teams, ship agent architectures end-to-end, and apply advanced AI techniques—from evaluation to deployment—defending

Qualifications

  • 4+ years of software engineering experience with Python proficiency.
  • 2+ years building and shipping production agent systems.
  • Excellent communication to articulate architectural decisions to technical stakeholders.

Responsibilities

  • Advising: Agent architecture design, evaluation strategy review, and best-practice production guidance.
  • Building: Co-build with the customer's engineering team across the full Agent Development Lifecycle (ADLC) in outcome-scoped engagements.
  • Embedding: Serve as a deployed engineer inside the customer's team for extended engagements, operating as a de facto member of their org to ship agent systems directly.
  • Agent Engineering: ADLC end-to-end, architecture design, orchestration patterns, evals, custom conversational UIs, and production deployment.
  • Applied AI: Post-training, supervised fine-tuning, harness engineering, trace mining, model selection and evaluation methodology.

Skills

Python
Agent systems
Client communication
LangChain/AI frameworks
Evaluation methodologies

Tools

LangChain
LangGraph

Job description

OpenTalent is seeking a Deployed Engineer to join our Professional Services team, working directly with enterprise customers to design reliable production agent systems and translate complex workflows into concrete software specifications. You will collaborate with client engineers to define architectures, evaluation plans, and deployment strategies.

You will embed with client teams, ship agent architectures end-to-end, and apply advanced AI techniques—from evaluation to deployment—defending

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