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Freelance Remote Ai Engineer Jobs in Basking Ridge, NJ

Bread Financial

Senior Staff Agentic AI Engineer

New York, NY · On-site +1

$116K - $157K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Job Summary The Senior Staff Software Engineer - Agentic AI will design and deliver core agent ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

YO AI Labs

AI Consulting Expert - Remote

New York, NY · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical & Report Writing

Walter

Full Stack Engineer - AI

New York, NY · On-site +1

The client is building an elite AI engineering team in New York City to develop and scale ... Open to on-site and Remote candidates * Ship products that will directly impact millions of users ...

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Freelance Remote Ai Engineer information

See Basking Ridge, NJ salary details

$15

$49

$136

How much do freelance remote ai engineer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for freelance remote ai engineer in Basking Ridge, NJ is $49.16, according to ZipRecruiter salary data. Most workers in this role earn between $25.00 and $63.65 per hour, depending on experience, location, and employer.

What is a freelance remote AI engineer?

Freelance Remote AI Engineers are independent professionals who design, develop, and deploy artificial intelligence solutions for clients while working remotely. They typically work on a contract or project basis, collaborating with companies worldwide without being tied to a specific location. Their work can involve machine learning, deep learning, data analysis, natural language processing, and developing AI-powered applications. This role offers flexibility and variety, allowing engineers to work on diverse projects across different industries.

How do freelance remote AI engineers typically collaborate with clients and project teams across different time zones?

Freelance remote AI engineers often work with clients and teams spread across multiple time zones, which requires strong communication and project management skills. They usually rely on collaboration tools like Slack, Zoom, and project management platforms such as Jira or Trello to stay aligned on project goals, deadlines, and deliverables. Clear documentation and regular updates are essential to ensure everyone is on the same page. Flexibility in scheduling, setting clear expectations, and proactively addressing potential roadblocks help foster effective teamwork and keep projects moving smoothly.

What are the key skills and qualifications needed to thrive as a freelance remote AI engineer, and why are they important?

To thrive as a Freelance Remote AI Engineer, you need a deep understanding of machine learning algorithms, programming proficiency (especially in Python), and a strong background in mathematics and data science, often supported by a relevant degree or certifications. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (AWS, Azure, or Google Cloud), and project management systems is essential. Outstanding problem-solving skills, self-motivation, and clear communication are crucial soft skills for collaborating with clients and managing projects independently. These skills ensure the delivery of high-quality AI solutions, effective remote teamwork, and successful client outcomes in a competitive freelance environment.

What is the difference between Freelance Remote Ai Engineer vs Freelance Remote Data Scientist?

AspectFreelance Remote Ai EngineerFreelance Remote Data Scientist
Required CredentialsKnowledge of AI frameworks, programming skills in Python, machine learning certificationsStatistics, data analysis, programming in Python/R, data visualization skills
Work EnvironmentRemote, project-based, often collaborating with developers and AI teamsRemote, research-focused, working with data sets and analytical tools
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, consulting firms
Search & Comparison IntentLooking for AI-specific freelance roles, AI project opportunitiesSeeking data analysis freelance work, data science projects

While both roles involve working remotely and require technical skills, Freelance Remote Ai Engineers focus on developing AI models and algorithms, whereas Freelance Remote Data Scientists analyze data to extract insights. The choice depends on your expertise in AI development versus data analysis.

What are popular job titles related to Freelance Remote Ai Engineer jobs in Basking Ridge, NJ?

For Freelance Remote Ai Engineer jobs in Basking Ridge, NJ, the most frequently searched job titles are:

What job categories do people searching Freelance Remote Ai Engineer jobs in Basking Ridge, NJ look for?

The top searched job categories for Freelance Remote Ai Engineer jobs in Basking Ridge, NJ are:

What cities near Basking Ridge, NJ are hiring for Freelance Remote Ai Engineer jobs?

Cities near Basking Ridge, NJ with the most Freelance Remote Ai Engineer job openings:

Freelance Remote Ai Engineer jobs near you
Infographic showing various Freelance Remote Ai Engineer job openings in Basking Ridge, NJ as of August 2026, with employment types broken down into 60% Full Time, 20% Part Time, and 20% Contract. Highlights an 100% Remote job distribution, with an average salary of $102,262 per year, or $49.2 per hour.

Agentic AI Engineering Architect (Remote -US)

OMG Technology

Jersey City, NJ • Remote

Contractor

Posted 5 days ago

Job description

Agentic AI Engineering Architect – Remote (US)
We are looking to hire a candidate with the mentioned skill sets and experience for one of our clients within the pharmaceutical Industry. This is a REMOTE role.

Position Overview

Lead the transformation of the software engineering organization into an AI-augmented, agentic engineering model. You will architect an enterprise framework that uses AI agents across the Product Development Life Cycle (PDLC) from requirements and architecture through development, testing, DevSecOps, release, and operations.

Key Responsibilities

  • Define the AI-native SDLC / Agentic PDLC architecture and roadmap.
  • Architect multi-agent workflows for requirements, architecture, development, testing, security, DevOps, compliance, and release management.
  • Design the enterprise AI Engineering Platform/Harness, including LLM gateway, RAG, vector databases, knowledge graphs, MCP, agent registry, orchestration, memory, observability, and evaluation.
  • Drive AI-enabled software engineering transformation, including AI coding, code review, automated testing, documentation, refactoring, and DevSecOps.
  • Define enterprise architectures across cloud, microservices, APIs, data, event-driven systems, and AI infrastructure.
  • Establish AI governance, security, Responsible AI, validation, and regulatory compliance practices.
  • Lead enterprise AI adoption, engineering enablement, training, and change management.
  • Evaluate and select AI platforms and frameworks such as OpenAI, Azure AI, AWS Bedrock, Google Gemini, Anthropic, LangGraph, AutoGen, Semantic Kernel, LangChain, MCP, GitHub Copilot, Cursor, and Claude Code.

Required Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or related field; Master’s preferred.
  • 12+ years of enterprise software engineering experience.
  • 8+ years leading enterprise architecture initiatives.
  • 5+ years leading cloud-native engineering transformations.
  • Experience leading large Agile engineering organizations (200+ engineers preferred).
  • Strong experience in enterprise software modernization and DevSecOps at scale.
  • Strong understanding of Generative AI, Agentic AI, AI engineering platforms, and enterprise AI adoption.
  • Experience implementing GenAI solutions in enterprise environments.
  • Strong enterprise architecture, technical leadership, and organizational transformation skills.

Key Technical Skills

AI/Agentic AI: GenAI, LLMs, Agentic AI, RAG, Knowledge Graphs, LLMOps, AI Evaluation, AI Safety, MCP, Context Engineering.
Engineering: Python, Java, C#, TypeScript, Node.js, React, REST/GraphQL, Microservices, Kubernetes, Docker, GitHub, Azure DevOps, Terraform, CI/CD.
Cloud/Data: Azure, AWS, GCP, Databricks, Snowflake, PostgreSQL, Redis, Vector Databases, Neo4j.
AI Frameworks: LangGraph, CrewAI, AutoGen, Semantic Kernel, PydanticAI, LangChain, LlamaIndex, OpenAI/Anthropic SDKs, Azure AI Foundry.

Other Job Details:

  • Job Type: C2C or W2. (Open to market rate)
  • Duration: 6+ months with a high possibility of extension.
  • Location: REMOTE.
  • Interviews: Video interviews.
  • Docs required: ID proof will be required.