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Telecommute Systems Trainer Jobs (NOW HIRING)

Saks

Senior Engineer, Systems

New York, NY · On-site

$131K - $145K/yr

Telecommuting and/or working from home may be permissible pursuant to company policies. When not ... CERTIFYING OFFICER, US DEPARTMENT OF LABOR EMPLOYMENT AND TRAINING ADMINISTRATION, OFFICE OF ...

Saks

Senior Engineer, Systems

San Francisco, CA

$131K - $145K/yr

Telecommuting and/or working from home may be permissible pursuant to company policies. When not ... CERTIFYING OFFICER, US DEPARTMENT OF LABOR EMPLOYMENT AND TRAINING ADMINISTRATION, OFFICE OF ...

InterWorks

Systems Engineer

Stillwater, OK

$60K - $100K/yr

Remote work or telecommuting arrangements outside of this jurisdiction are not permissible for this ... Continue developing your expertise through training and certification paths * Collaborate with ...

InterWorks

Systems Administrator

Stillwater, OK

$45K - $60K/yr

Remote work or telecommuting arrangements outside of this jurisdiction are not permissible for this ... Continue developing your expertise through training and certification paths * Collaborate with ...

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How much do telecommute systems trainer jobs pay per year?

As of Jun 11, 2026, the average yearly pay for telecommute systems trainer in the United States is $71,725.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,500.00 and $81,000.00 per year, depending on experience, location, and employer.
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Senior AI Engineer - Remote / Telecommute

Senior AI Engineer - Remote / Telecommute

Cynet Systems

Camden, NJ • Remote

$55 - $60/hr

Other

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

Job description

We are looking for Senior AI Engineer - Remote / Telecommute for our client in Camden, NJ

Job Title: Senior AI Engineer - Remote / Telecommute

Job Location: Camden, NJ

Job Type: Contract

Job Overview:

Pay Range: $55/hr - $60/hr

Requirement/Must Have:

  • Expertise in LangChain, LlamaIndex, Semantic Kernel, AutoGen, or equivalent.
  • Strong experience with Unity Catalog, Delta Lake, Vector Search, Databricks Workflows, and Model Serving.
  • Hands-on with Lakehouse architecture patterns.
  • Experience with open-source LLMs (Llama, Mistral, etc.), prompting techniques, and fine-tuning approaches.
  • Strong knowledge of RAG architectures and embedding strategies.
  • Expertise in LangChain, LlamaIndex, Semantic Kernel, AutoGen, or equivalent.
  • Experience building agentic workflows and multi-agent systems.
  • Advanced Python proficiency (APIs, web apps, orchestration, data processing).
  • Familiarity with REST APIs and microservices architecture.
  • Experience with MLflow, CI/CD pipelines, model lifecycle management, and observability tools.
  • Knowledge of drift detection and model performance monitoring.
  • Experience with Spark, SQL, and large-scale data processing.
  • Familiarity with streaming frameworks (Kafka, Structured Streaming).
  • Expertise in AI security risks (prompt injection, jailbreaks, data leakage).
  • Experience implementing governance frameworks and compliance controls.

Responsibilities:

  • Build and orchestrate autonomous AI agents with multi-step reasoning, tool usage, and workflow chaining using frameworks like LangChain, CrewAI, AutoGen, Semantic Kernel, or LlamaIndex.
  • Deploy, fine-tune, and serve open-source LLMs (e.g., Llama 3) using Databricks Model Serving; optimize latency, throughput, and cost.
  • Design advanced RAG pipelines leveraging vector search, embeddings, semantic ranking, and enterprise data sources (structured + unstructured).
  • Develop prompt strategies, memory frameworks, and metadata tagging to improve contextual accuracy and response quality.
  • Build intuitive AI-driven applications using Databricks Apps (Streamlit/Dash) or modern web frameworks to enable business consumption.
  • Build reliable data pipelines (batch & streaming) supporting training, inference, and feature generation using Delta Lake.
  • Implement enterprise-grade controls using Unity Catalog (row/column-level security, lineage, auditability) aligned with compliance standards.
  • Implement guardrails (e.g., NeMo Guardrails) for prompt injection prevention, hallucination mitigation, and safe output handling.
  • Establish CI/CD pipelines for AI models and agents, including versioning, monitoring, drift detection, observability, and incident response.
  • Optimize model performance, GPU/compute usage, and inference cost efficiency across environments.
  • Testing & Evaluation.
  • Collaboration & Stakeholder Engagement.
  • Documentation & Knowledge Transfer.
Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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