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MindlancePosted 30+ days ago

Machine Learning / AI Contractor: 10+ years (Expert)

Contract
On-site
7+ years
Competitive
Posted 30+ days ago

Mindlance is seeking an expert Machine Learning / AI Contractor to build production-grade AI agents for customer-facing use cases at enterprise scale. The role involves designing agentic workflows, integrating agents with Java/Spring services and event streams, developing evaluation and inference systems, and ensuring reliability, safety, auditability, and observability in a regulated environment.

Posted
30+ Days Ago
Source
www1.jobdiva.com
Sector
Information Technology & AI

Opens the employer's application page in a new tab

Responsibilities

  • Design and build production agentic workflows for customer-facing use cases — multi-turn conversation, tool calling, retrieval, escalation, and human handoff
  • Own agent orchestration end to end using LangGraph/LangChain (or equivalent frameworks), including state management, guardrails, and failure recovery
  • Integrate agents with our core service layer: existing Java/Spring microservices, APIs, and event streams are the hands and feet of every agent you build
  • Build and tune the evaluation loop — automated evals, regression suites, trace analysis, and A/B measurement of agent quality
  • Work on the inference and serving layer: model routing, prompt/context management, and self-hosted serving with vLLM alongside commercial LLM APIs
  • Harden everything for a regulated, high-trust environment: PII handling, auditability, deterministic fallbacks, and observability

Qualifications

  • 7+ years of software engineering experience, with senior/lead-level ownership of production systems
  • Proven hands-on delivery of LLM-based agentic systems in production — not coursework, not POCs. Expect to walk us through architecture, failure modes, and eval strategy of something you shipped
  • Strong Python (primary agent/ML stack) and Java (service integration) — both are daily-use languages here
  • Depth in the standard agent stack: LangChain, LangGraph, prompt/context engineering, tool/function calling, RAG pipelines
  • Working knowledge of PyTorch and model fundamentals — enough to fine-tune, debug model behavior, and reason about tradeoffs
  • Experience with LLM serving/inference — vLLM or comparable (TGI, TensorRT-LLM), plus commercial APIs (OpenAI, Anthropic, Bedrock/Vertex)
  • Solid distributed-systems fundamentals: APIs, queues, caching, observability, CI/CD

Preferred

  • Hands-on experience with agent-builder platforms such as Sierra or Decagon — deploying, extending, or evaluating them for customer-service use cases
  • Voice agents, real-time/streaming inference, or contact-center integration
  • Experience in regulated industries (finance, healthcare) — model risk, compliance review, audit trails
  • Eval frameworks (LangSmith, Braintrust, custom harnesses) and LLM safety/guardrail tooling

Required skills

CI/CDDistributed SystemsJavaLangChainLangGraphProduction LLM-Based Agentic SystemsPrompt and Context EngineeringPyTorchPythonRetrieval-Augmented Generation (RAG)Tool and Function Calling

Nice to have

(36)(37)(53)(71)(72)*2026202120222023202420253.989Accounting and Finance

Full job description

Mindlance is seeking an expert Machine Learning / AI Contractor to build production-grade AI agents for customer-facing use cases at enterprise scale. The role involves designing agentic workflows, integrating agents with Java/Spring services and event streams, developing evaluation and inference systems, and ensuring reliability, safety, auditability, and observability in a regulated environment.

Responsibilities

  • Design and build production agentic workflows for customer-facing use cases — multi-turn conversation, tool calling, retrieval, escalation, and human handoff
  • Own agent orchestration end to end using LangGraph/LangChain (or equivalent frameworks), including state management, guardrails, and failure recovery
  • Integrate agents with our core service layer: existing Java/Spring microservices, APIs, and event streams are the hands and feet of every agent you build
  • Build and tune the evaluation loop — automated evals, regression suites, trace analysis, and A/B measurement of agent quality
  • Work on the inference and serving layer: model routing, prompt/context management, and self-hosted serving with vLLM alongside commercial LLM APIs
  • Harden everything for a regulated, high-trust environment: PII handling, auditability, deterministic fallbacks, and observability

Preferred

  • Hands-on experience with agent-builder platforms such as Sierra or Decagon — deploying, extending, or evaluating them for customer-service use cases
  • Voice agents, real-time/streaming inference, or contact-center integration
  • Experience in regulated industries (finance, healthcare) — model risk, compliance review, audit trails
  • Eval frameworks (LangSmith, Braintrust, custom harnesses) and LLM safety/guardrail tooling
  • Agent-builder platforms
  • Sierra
  • Decagon
  • Customer-service use cases
  • Voice agents
  • Real-time inference
  • Streaming inference
  • Contact-center integration
  • Finance industry
  • Healthcare industry
  • Model risk
  • Compliance review
  • Audit trails
  • Evaluation frameworks
  • LangSmith
  • Braintrust
  • Custom evaluation harnesses
  • LLM safety tooling
  • Guardrail tooling

Company

  • Enterprise staffing and workforce solutions
  • Union, New Jersey, USA
  • http://www.mindlance.com/
  • Founded in 1999
  • 1001-5000 employees

Qualifications

  • 7+ years of software engineering experience, with senior/lead-level ownership of production systems
  • Proven hands-on delivery of LLM-based agentic systems in production — not coursework, not POCs. Expect to walk us through architecture, failure modes, and eval strategy of something you shipped
  • Strong Python (primary agent/ML stack) and Java (service integration) — both are daily-use languages here
  • Depth in the standard agent stack: LangChain, LangGraph, prompt/context engineering, tool/function calling, RAG pipelines
  • Working knowledge of PyTorch and model fundamentals — enough to fine-tune, debug model behavior, and reason about tradeoffs
  • Experience with LLM serving/inference — vLLM or comparable (TGI, TensorRT-LLM), plus commercial APIs (OpenAI, Anthropic, Bedrock/Vertex)
  • Solid distributed-systems fundamentals: APIs, queues, caching, observability, CI/CD
  • Hands-on experience with agent-builder platforms such as Sierra or Decagon — deploying, extending, or evaluating them for customer-service use cases
  • Voice agents, real-time/streaming inference, or contact-center integration
  • Experience in regulated industries (finance, healthcare) — model risk, compliance review, audit trails
  • Eval frameworks (LangSmith, Braintrust, custom harnesses) and LLM safety/guardrail tooling
  • 7+ years of software engineering experience, with senior/lead-level ownership of production systems.

Required skills

  • CI/CD, Distributed Systems, Java, LLM Inference and Serving with vLLM, LangChain, LangGraph, Production LLM-Based Agentic Systems, Prompt and Context Engineering, PyTorch, Python, Retrieval-Augmented Generation (RAG), Tool and Function Calling

Preferred skills

  • (36), (37), (53), (71), (72), *2026, 2021, 2022, 2023, 2024, 2025, 3.9, 89, Accounting and Finance, Creatives and Design, Customer Service and Support, Data Powered by, Distribution of Different Job Fields Receiving Sponsorship, Engineering and Development, Enterprise staffing and workforce solutions., Glassdoor, H1B Sponsorship, Legal and Compliance, Management and Executive, Marketing, Represents job field similar to this job, Sales, Trends of Total Sponsorships, Union, New Jersey, USA, http://www.mindlance.com

Experience

  • 7+ years

Job details

Employment type

Contract

Seniority level

7+ years

Date posted

Aug 21, 2026

Work mode

On-site

Job source

www1.jobdiva.com

Company

Mindlance

Information Technology & AI

Enterprise staffing and workforce solutions

See all 14 jobs from Mindlance →
  • Union, New Jersey, USA
  • Information Technology & AI
  • 1001-5000 employees
  • Founded 1999
  • mindlance.com

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