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SGF Global

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Machine Learning / AI Contractor

New York, NY · On-site

$67 - $70/hr

Senior AI Engineer -- Agentic Systems Job Title: Senior AI Engineer -- Agentic Systems Level: Senior Engineer / VP-Equivalent Location: New York, NY 10020 - Onsite Address: 1221 Avenue of the ...

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Institute for Security and Technology Senior Technical Advisor, AI Capability Assessment Remote · Contractor Apply for Senior Technical Advisor, AI Capability Assessment Join IST as a Senior ...

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How much do ai contractor jobs pay per year?

As of Aug 28, 2026, the average yearly pay for ai contractor in the United States is $134,565.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,000.00 and $156,000.00 per year, depending on experience, location, and employer.

What is an AI contractor?

AI contractors are professionals or companies hired on a contract basis to develop, implement, or maintain artificial intelligence (AI) solutions for organizations. They typically possess expertise in AI technologies such as machine learning, natural language processing, or computer vision. AI contractors may assist with tasks like building custom AI models, integrating AI into existing systems, or providing technical consultation. Their work helps businesses leverage AI capabilities without needing to hire full-time, in-house specialists.

How does an AI contractor typically collaborate with in-house teams during a project?

AI Contractors often work closely with in-house teams such as software developers, data scientists, and project managers to ensure seamless integration of AI solutions. Communication is key, as contractors must align their work with existing workflows and company objectives, often participating in regular meetings and code reviews. They may also provide documentation and training to help internal staff maintain and scale the implemented AI systems after the contract ends. Establishing clear expectations and frequent updates helps promote a productive partnership and project success.

What are the key skills and qualifications needed to thrive as an AI contractor, and why are they important?

To thrive as an AI Contractor, you need expertise in machine learning, data analysis, programming (often Python or R), and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (such as AWS or Azure), and certifications in AI or data science are typically expected. Strong problem-solving abilities, project management skills, and effective communication help you excel when collaborating with clients and stakeholders. These skills and qualities are essential for delivering successful AI solutions that meet business objectives and adapt to evolving technologies.
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Infographic showing various Ai Contractor job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $134,565 per year, or $64.7 per hour.

Machine Learning / AI Contractor

New York, NY • On-site

SGF Global
Recruiting and Staffing Services • 201 - 500 employees
Learn more about SGF Globalexternal

$67 - $70/hr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Senior AI Engineer — Agentic Systems

Job Title: Senior AI Engineer — Agentic Systems
Level: Senior Engineer / VP-Equivalent
Location: New York, NY 10020 – Onsite
Address: 1221 Avenue of the Americas, New York, NY 10020
Duration: 12-Month Contract, with possible extension
Employment Type: W2
Team: Customer-Facing AI Agents

About the Role

We are seeking a highly experienced Senior AI Engineer — Agentic Systems to join a senior engineering team building production-grade AI agents for customer-facing applications at enterprise scale.

This role is focused on developing and deploying LLM-powered agentic systems capable of handling multi-turn conversations, tool calling, retrieval, escalation, and human handoff. The ideal candidate will have proven experience taking AI agents from architecture and development through production deployment, evaluation, optimization, and ongoing improvement.

This is not a chatbot or proof-of-concept role. The successful candidate must have hands-on experience delivering reliable, scalable, and secure agentic AI systems in production environments.

Key Responsibilities

  • Design, develop, and deploy production-grade LLM-based agentic workflows for customer-facing applications.
  • Build multi-turn conversational agents supporting tool calling, retrieval, escalation, and human handoff.
  • Own agent orchestration using LangGraph, LangChain, or equivalent agent frameworks.
  • Design state management, workflow orchestration, guardrails, failure recovery, and human-in-the-loop capabilities.
  • Integrate AI agents with existing Java/Spring Boot microservices, APIs, and event-driven systems.
  • Develop and maintain RAG pipelines, prompt/context engineering, embeddings, retrieval, and tool/function calling capabilities.
  • Build and optimize LLM evaluation frameworks, including automated evaluations, regression testing, trace analysis, and A/B testing.
  • Work with LLM inference and serving technologies including vLLM or comparable platforms.
  • Integrate commercial LLM APIs such as OpenAI, Anthropic, AWS Bedrock, or Google Vertex AI.
  • Use PyTorch and model fundamentals to fine-tune models, debug model behavior, and evaluate model tradeoffs.
  • Design scalable distributed systems using APIs, queues, caching, observability, and CI/CD.
  • Implement AI safety and governance practices including PII protection, auditability, guardrails, deterministic fallbacks, and observability.
  • Monitor production agent performance, troubleshoot failures, and continuously improve reliability, latency, and response quality.
  • Collaborate with software engineers, architects, product teams, security teams, and business stakeholders.
  • Maintain high standards for code quality, testing, documentation, security, and production readiness.

Required Qualifications

  • 7+ years of software engineering experience with senior or lead-level ownership of production systems.
  • Proven hands-on experience building and deploying LLM-based agentic systems into production.
  • Strong proficiency in Python as a primary AI/ML development language.
  • Strong experience with Java, preferably Java/Spring/Spring Boot.
  • Hands-on experience with LangChain, LangGraph, or equivalent agent orchestration frameworks.
  • Strong knowledge of:
    • LLM application development
    • Agent orchestration
    • Prompt engineering
    • Context engineering
    • Tool/function calling
    • Retrieval-Augmented Generation (RAG)
  • Working knowledge of PyTorch and machine learning/model fundamentals.
  • Experience with LLM inference and serving, including vLLM, TGI, TensorRT-LLM, or comparable technologies.
  • Experience with commercial LLM APIs such as OpenAI, Anthropic, AWS Bedrock, or Google Vertex AI.
  • Strong understanding of distributed systems, APIs, queues, caching, observability, and CI/CD.
  • Experience building reliable, scalable, secure, and production-ready software systems.
  • Strong troubleshooting, analytical, communication, and problem-solving skills.

Company Description

Who We Are
SGF Global is an integrated talent solutions provider, offering staffing, recruitment, Employer of Record (EOR), nearshore, and consulting services across a wide range of industries in 35 countries. We're a dynamic, people-first organization where fresh ideas are always welcome. Our culture is built on collaboration, innovation, and a genuine passion for helping people grow. At SGF Global, smiles are part of the dress code, and every voice matters.

Are you looking to join an organization where your ideas are valued, your growth is supported, and your work makes a global impact?

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