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Remote Ai Engineer Jobs (NOW HIRING)

Kubikware

AI Engineer (Latam, Remote)

Aventura, FL · On-site +1

We are looking to expand our amazing roster with a AI Engineer , located in Latin America. As we ... Fully remote position (LATAM) * Full-time position * Opportunity to work on cutting-edge AI ...

Futran Tech Solutions Pvt. Ltd.

AI Engineer

Remote We are seeking a highly skilled Developer with strong expertise in Artificial Intelligence (AI) coding, particularly in Large Language Models (LLM) and Retrieval-Augmented Generation (RAG ...

Kubikware

AI Engineer (Latam, Remote)

Miami, FL · Remote

We are looking to expand our amazing roster with a AI Engineer , located in Latin America. As we ... Fully remote position (LATAM) * Full-time position * Opportunity to work on cutting-edge AI ...

NavitasPartners

US / Canada (Remote/Hybrid) Type: Contract / Full-Time Overview: We are seeking a GenAI & Agentic AI Engineer to design and deliver next-generation AI solutions leveraging LLMs and autonomous agents ...

Nagarro

Staff Engineer - AI Engineer

Remote, USA Duration: 6 Months Contract with possible extension Job Overview: * AI Engineer with 6-9 years of experience required along with (Optional) 2-4 years working in manufacturing domain.

Nagarro

Staff Engineer - AI Engineer

Remote, USA Duration: Fulltime Employee Job Overview: * AI Engineer with 6-9 years of experience required along with 2-4 years working in manufacturing domain(Optional). * Hands-on experience in shop ...

HireNow Staffing

Applied AI Engineer

New York, NY · On-site +1

New York, NY (Hybrid - Wednesday Remote) Employment Type: Full-TimeHireNow Staffing is actively recruiting multiple seasoned, highly skilled Applied AI Engineers to join one of our valued client ...

Nagarro

Staff Engineer - AI Engineer

Remote, USA Duration: Fulltime Employee Job Overview: * AI Engineer with 6-9 years of experience required along with 2-4 years working in manufacturing domain(Optional). * Hands-on experience in shop ...

Arize AI

Forward Deployed AI Engineer, East

New York, NY · On-site +1

$125K - $175K/yr

While we are a remote-first company, the nature of this role requires candidates to be based in the ... ML/AI Engineering: Experience building MLOps pipelines and/or developing, deploying, and iterating ...

Right Skale, Inc.

GCP AI Engineer

GCP AI Engineer - Full Time - Remote (Occasional Travel) We are seeking an experienced GCP AI/ML & Integration Engineer to design, build, and optimize enterprise-scale AI/ML solutions. The ideal ...

Cayuse Holdings, LLC

$28 - $30/hr

AI Engineer Location: Remote Type: Corp to Corp Start Date: ASAP Pay Rate: $28-$30 per hour Contract Length: 12 months - potential conversion to FTE **This position is posted for future opportunities.

MatchPoint Solutions

AI Engineer - Claude

Seabrook, TX · On-site +1

$80 - $100/hr

Remote - USA Employment Type: Contract Pay Range: $80/hr - $100/hr - Key Responsibilities We are looking for an Agentic AI Engineer with experience in Claude integrations and AI automation. The role ...

Axcelis

AI Engineer

Beverly, MA · On-site +1

$119K - $179K/yr

This is a hybrid in office / remote role. Job Summary We are seeking a highly skilled Artificial Intelligence Engineer with a strong background in Generative AI to join our team. In this role, you ...

GDIT

Agentic AI Engineer

WV · On-site +1

$161K - $218K/yr

No As an Agentic AI Engineer, you will be responsible for designing, developing and deploying AI ... Remote * US Persons required GDIT IS YOUR PLACE At GDIT, the mission is our purpose, and our people ...

Right Skale, Inc.

GCP AI Engineer

GCP AI Engineer - Full Time - Remote (Occasional Travel) We are seeking an experienced GCP AI/ML & Integration Engineer to design, build, and optimize enterprise-scale AI/ML solutions. The ideal ...

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How much do remote ai engineer jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for remote ai engineer in the United States is $53.63, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $62.26 per hour, depending on experience, location, and employer.

What is a Remote AI Engineer job?

A Remote AI Engineer is a professional who designs, develops, and deploys artificial intelligence models and systems while working from a remote location. They use machine learning, deep learning, and data science techniques to build AI-powered applications, improve automation, and solve complex problems. Responsibilities often include data preprocessing, model training, fine-tuning, and integrating AI solutions into products or services. These engineers collaborate with cross-functional teams online, using cloud-based tools and platforms for development and deployment. Remote AI Engineers typically need strong programming skills in languages like Python, experience with frameworks like TensorFlow or PyTorch, and familiarity with cloud computing and MLOps.

What is it like collaborating with team members as a Remote AI Engineer?

As a Remote AI Engineer, collaboration typically occurs through virtual meetings, code reviews, shared documentation, and messaging platforms like Slack or Teams. You will work closely with data scientists, product managers, and software engineers to define requirements, design solutions, and integrate AI models into products or services. Strong communication and proactive reporting are highly valued to ensure project alignment and seamless progress. Effective collaboration in a remote setting not only enhances project outcomes but also fosters professional growth and a sense of team cohesion.

What are the key skills and qualifications needed to thrive in the Remote Ai Engineer position, and why are they important?

To thrive as a Remote AI Engineer, you need a strong background in machine learning, deep learning, programming (Python, TensorFlow, PyTorch), and a relevant degree in computer science or a similar field. Familiarity with cloud platforms (such as AWS, GCP, or Azure), version control systems like Git, and relevant certifications (e.g., AWS Certified Machine Learning) are beneficial. Excellent problem-solving skills, self-motivation, clear communication, and the ability to collaborate in a distributed team set exceptional candidates apart. These competencies are crucial for effectively building, deploying, and maintaining AI solutions in a remote, fast-paced environment.

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Remote Ai Engineer jobs near you

Sr AI Engineer

Futran Tech Solutions Pvt. Ltd.

Fort Worth, TX • On-site, Remote

$80/hr

Full-time

Posted 16 days ago

Job description

Client : Alcon
Fort Worth, TX, Hybrid is preferred, but remote
Rate: $80/hr
Job Title: Sr AI Engineer
Experience Level: 6-10 years
Job Summary
We are seeking a skilled AI Engineer to build, integrate, and operationalize AI/ML models and agent workflows on AWS and Azure as the core AI foundation, with Microsoft Copilot as the primary user experience layer. The role involves collaborating with AI Architects and data teams to deploy scalable, production-grade AI solutions that are grounded in enterprise data, governed responsibly, and optimized for real-world performance. The candidate should be able to own the full AI engineering lifecycle, from prototyping and integration through to production deployment and ongoing optimization.
Key Responsibilities
LLM & Agent Development
  • Build, integrate, and iterate on LLM-powered agent experiences for enterprise knowledge access and workflow automation.
  • Own prompt engineering, orchestration logic, and multi-agent workflow design using AWS Bedrock and Azure AI services.
  • Implement grounding, citation enforcement, and refusal behavior patterns aligned with enterprise governance standards.
  • Build structured triage and escalation logic within agent workflows to support robust, production-grade AI systems.
  • Own the AI engineering layer end to end, from prototype through pilot validation and production deployment.

RAG & Retrieval Engineering
  • Implement RAG pipelines using structured and unstructured enterprise data on AWS and Azure cloud-native services.
  • Tune retrieval quality through vector search, re-ranking strategies, and context window optimization.
  • Work with embedding models, chunking strategies, and hybrid retrieval approaches to improve answer relevance.
  • Integrate vector databases such as Azure AI Search and Amazon OpenSearch to support enterprise RAG systems.

Evaluation & Quality Assurance
  • Define and run evaluation frameworks to measure answer accuracy, hallucination rates, and response quality.
  • Ensure relevance, freshness, observability, and security of AI outputs across production environments.
  • Implement monitoring and drift detection for deployed AI models and LLM-based workflows.

Cloud & Platform Integration
  • Build and deploy AI solutions on AWS (Bedrock, SageMaker, Lambda) and Azure (Azure AI Foundry, Azure ML, Azure Functions) as the primary cloud platforms.
  • Integrate Microsoft Copilot as the enterprise user experience layer, connecting AI capabilities to end-user workflows.
  • Integrate AI components with enterprise applications, APIs, and data sources to enable scalable, end-to-end AI workflows.
  • Ensure compliance with security, privacy, and responsible AI guidelines across all AI deployments.

Collaboration & Delivery
  • Collaborate with AI Architects and data teams to translate architectural designs into production-ready AI implementations.
  • Work within cross-functional delivery teams to align AI solutions with business and product requirements.
  • Support POCs and pilot programmes, demonstrating the value and feasibility of AI solutions before full-scale deployment.

Required Qualifications
  • 6-10 years of overall experience with 3+ years building LLM-powered applications in production or near-production environments.
  • Hands-on experience with AWS AI/ML services (Bedrock, SageMaker) and Azure AI services (Azure AI Foundry, Azure OpenAI Service, Azure ML).
  • Experience integrating with Microsoft Copilot or building Copilot extensibility solutions (plugins, connectors, or agents).
  • Hands-on experience with RAG architectures: vector search, embedding models, chunking strategies, and hybrid retrieval.
  • Strong understanding of grounding techniques, hallucination mitigation, and AI evaluation methodologies.
  • Experience with agent orchestration frameworks and patterns: multi-agent routing, workflow chaining, and context management.
  • Strong Python skills; familiarity with LangChain, Semantic Kernel, or equivalent agent orchestration frameworks preferred.
  • Ability to work autonomously and own the full AI engineering stack within a cross-functional delivery team.

Apply