Explore AI roles · Updated daily

Search curated engineering roles across AI infrastructure, agents, machine learning, and product teams.

Keyboard friendly Save and share roles

POSITION DESCRIPTION The AI Engineer will serve as a critical bridge between business stakeholders and technical impl...

Fulltime Ai Ai Engineer Machine Learning

Fully remote

We are seeking a dynamic and innovative Artificial Intelligence (AI) Engineer to join our forward-thinking technology...

Fulltime Remote Ai Ai Engineer

$90k - $225k · Senior Fully remote

POSITION DESCRIPTION The AI Engineer will serve as a critical bridge between business stakeholders and technical impl...

Fulltime Ai Ai Engineer Machine Learning

Fully remote

POSITION DESCRIPTION The AI Engineer will serve as a critical bridge between business stakeholders and technical impl...

Fulltime Ai Ai Engineer Machine Learning

Fully remote

In a time where the news and book media landscapes are changing by the day, Apple News and Apple Books stand as champ...

Machine Learning Ai

$181k - $318k · Senior Fully remote

Company Description At BlueAlly, our mission is to make technology more accessible, more certain, and more impactful ...

Fulltime Remote Ai Ai Engineer

$180k - $200k · Senior Fully remote

Why USA Clinics Group? Founded by Harvard-trained physicians with a vision of offering patient-first care beyond the ...

Fulltime Ai Generative Ai

$85k - $115k · Senior Fully remote

Position Summary We are seeking a Data Scientist with experience in banking and finance to join our team. The ideal c...

Machine Learning Data Science Data Engineer Generative Ai

$120k - $130k · Senior Fully remote

Your Impact Own your opportunity to support our nation's defense. Make an impact by connecting and securing critical ...

Ai Ai Engineer Generative Ai

$153k - $207k · Senior Fully remote

Are you interested in building amazing Generative AI experiences that will touch the lives of billions of people by u...

Ai Machine Learning Nlp Generative Ai

$126k - $220k · Senior Fully remote

Join an early-stage, venture-backed AI startup reimagining computer-aided engineering (CAE) for the AI era. As an AI/...

Ai Ai Engineer Machine Learning

$150k - $250k · Senior Fully remote

The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analyt...

Fulltime Ai Machine Learning Nlp

Fully remote

As one of our Games Data Scientists you will be the business facing masterminds who help turn business questions into...

Fulltime Remote Machine Learning Data Science

Fully remote

adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we'v...

Fulltime Data Science Ai

$100k* · Senior Fully remote

KnowBe4 empowers the modern workforce to make smarter security decisions every day. Trusted by more than 70,000 organ...

Ai Data Science

$70k* · Senior Fully remote

Key information Salary: £26,152.50 pro rata (FTE £52,305 per annum) Grade: 8 Contract type: Fixed Term, Part Time Ref...

Parttime Remote Data Science Ai

$66k* · Senior Fully remote

Join us at Chase UK, where we're building the bank of the future from the ground up. You'll have the chance to make a...

Fulltime Data Science Ai

Fully remote

At Thales, we know technology has the ability to make our world more secure, sustainable, and inclusive – and that it...

Fulltime Data Science Ai

Fully remote

As a Data Scientist at Melio you will be working with colleagues from various disciplines - Research Engineers, Analy...

Machine Learning Data Science Generative Ai Ai

Fully remote

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we...

Remote Machine Learning Data Science Ai

$11k* · Senior Fully remote

Selected role

Applied AI Engineer

Qcells Irvine, CA, US

Senior Full-time

Description

POSITION DESCRIPTION

The AI Engineer will serve as a critical bridge between business stakeholders and technical implementation, translating complex organizational challenges into practical, high-impact AI solutions. This hands-on role requires both the analytical depth to collaborate with cross-functional business teams in identifying and scoping AI opportunities, and the engineering expertise to design, build, and deploy those solutions. Working closely with data scientists, software engineers, and business partners, the AI Engineer will drive end-to-end delivery of Generative AI, Machine Learning, and advanced AI capabilities that create measurable business value.

RESPONSIBILITIES

Partner with business teams to gather requirements, translate objectives into AI problem statements, and design solutions aligned with strategic goals.
Design, build, and deploy AI solutions leveraging Generative AI, Large Language Models (LLMs), Machine Learning, and other advanced AI techniques to solve real-world business problems.
Participate in discovery sessions and brainstorming workshops to identify new AI use cases, evaluate feasibility, and prioritize initiatives by business impact.
Train, fine-tune, validate, and optimize machine learning models for performance, scalability, and accuracy in production environments.
Implement Retrieval-Augmented Generation (RAG) pipelines, AI agentic patterns, and multi-modal model architectures to address complex use cases.
Collaborate with data engineers to collect, preprocess, and clean structured and unstructured data; apply feature engineering, augmentation, and transformation techniques.
Deploy AI models to production, establish monitoring and observability frameworks, and implement continuous feedback loops for ongoing improvement.
Troubleshoot issues with deployed models—addressing hallucinations, drift, latency, and availability—ensuring reliability and scalability.
Document model development processes, architecture decisions, code, and performance metrics; promote reproducibility and modularity.
Champion best practices in responsible AI development including ethical guidelines, explainability, and bias mitigation.
Stay current with emerging AI technologies, especially in Generative AI and LLMs, and proactively recommend tools and approaches that enhance our capabilities.

**REQUIRED QUALIFICATIONS

Educational Background**

Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, or a related field. Relevant certifications in AI, ML, or cloud platforms are a plus.

Experience

3+ years of hands-on experience developing and deploying machine learning and AI models, preferably in an industrial, manufacturing, or enterprise context.
Proven experience with AI development platforms and frameworks including Google’s ADK Claude API (Anthropic), Microsoft Azure AI Foundry / Copilot Studio, OpenAI APIs, Hugging Face, LangChain, and LangGraph.
Demonstrated experience building with Generative AI and foundational models (e.g., multimodal, image/video generation) using libraries such as PyTorch, TensorFlow, Keras.
Experience applying RAG techniques (including advanced RAG patterns) and agentic AI design patterns in production systems.
Familiarity with MLOps and DevOps practices as applied to AI/ML model lifecycle management, deployment, and monitoring.
Experience working with SQL and NoSQL databases and performing data manipulation at scale.
Experience with AI observability tools like LangSmith or LangFuse.
Experience deploying AI agents to production, including implementation of safety guardrails, output validation, rate limiting, and escalation controls to ensure reliable and responsible operation at scale.

Technical Skills

Strong proficiency in Python, SQL, and relevant AI/ML libraries and frameworks.
Hands-on experience with cloud platforms (AWS, Azure, or GCP) and MLOps tooling for model deployment, versioning, and performance monitoring.
Solid understanding of machine learning algorithms, natural language processing (NLP), computer vision, recommendation systems, and deep learning architectures.
Experience with AI observability tools and techniques for performance tracking, drift detection, and hallucination troubleshooting.
Familiarity with data visualization tools such as Matplotlib, Seaborn, or Tableau to communicate model insights.
Understanding of data preprocessing techniques and tools for handling large-scale datasets.

Soft Skills & Competencies

Strong analytical and problem-solving skills with a focus on practical, business-relevant applications.
Excellent communication skills with the ability to translate technical findings into clear insights for non-technical stakeholders.
Collaborative mindset with experience working in cross-functional teams spanning engineering, data, and business.
Comfortable operating in a fast-paced, agile environment; able to manage multiple concurrent projects and reprioritize based on business needs.

Hanwha Q CELLS America Inc. (“HQCA”) is a Qcells company, one of the world’s largest manufacturers and providers of solar photovoltaic (PV) products and solutions. Headquartered in Irvine, California, HQCA has been rapidly expanding its business in North America through the expansion of products and solutions, including distributed energy solutions, direct-to-homeowner solar sales and financing, and EPC services. We provide an opportunity to be part of an exciting and growing world-class global business in an interesting and expanding industry of the future.

PHYSICAL, MENTAL & ENVIRONMENTAL DEMANDS

To comply with the Rehabilitation Act of 1973 the essential physical, mental and environmental requirements for this job are listed below. These are requirements normally expected to perform regular job duties. Incumbent must be able to successfully perform all of the functions of the job with or without reasonable accommodation.

Mobility

Standing

20% of time

Sitting

70% of time

Walking

10% of time

Strength

Pulling

up to 10 Pounds

Pushing

up to 10 Pounds

Carrying

up to 10 Pounds

Lifting

up to 10 Pounds

Dexterity (F = Frequently, O = Occasionally, N = Never)

Typing

Handling

Reaching

Agility (F = Frequently, O = Occasionally, N = Never)

Turning

Twisting

Bending

Crouching

Balancing

Climbing

Crawling

Kneeling

The salary range is required by the California Pay Transparency Act and may differ depending on the location of those candidates hired nationwide. Actual compensation is influenced by a wide array of factors including but not limited to, skill set, education, licenses and certifications, essential job duties and requirements, and the necessary experience relative to the job’s minimum qualifications.

This target salary range is for CA positions only and should not be interpreted as an offer of compensation.

You may view your privacy rights by reviewing Qcells' Privacy Policy or by contacting our HR team for a copy.

Showing 461–480 of 11,187 AI roles

1 … 22 23 25 26 560

Find your next AI role

Applied AI Engineer

Artificial Intelligence Engineer

Applied AI Engineer

Applied AI Engineer

Staff Machine Learning Engineer - News, Books, and Stocks Team

Senior AI Engineer

LLM Engineer

Data Scientist

AI Engineer/Architect

Software Engineer in Natural Language Processing (NLP) and Machine Learning (ML)

AI/ML Engineer

Applied AI ML Director - NLP / LLM and Graphs

Data Scientist

Senior Data Scientist

Data Scientist - Cybersecurity Analyst (Position located in Cheltenham, United Kingdom)

Data Scientist (Part-time)

Data Scientist Lead

Experienced Data Scientist - Data Security

Data Scientist

Senior Data Scientist