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Full Stack Ai Engineer Jobs (NOW HIRING)

Kla

Full Stack AI Engineer

Ann Arbor, MI

You will work alongside data scientists and full-stack engineers to deliver AI-powered solutions across internal tooling, customer-facing features, and the supporting data/ML infrastructure. The team ...

Skillify Solutions

Full Stack AI Engineer

Boston, MA · On-site

Fullstack AI Engineer Location: Boston, MA (5 Days Onsite) Type-: Contract Exp-: 12 + Years * Strong full-stack development with Python. * Proficiency with SQL for querying, analyzing, and ...

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Orbotech

Full Stack AI Engineer

Ann Arbor, MI · On-site

You will work alongside data scientists and full-stack engineers to deliver AI-powered solutions across internal tooling, customer-facing features, and the supporting data/ML infrastructure. The team ...

KLA Corporation

Full Stack AI Engineer

Chandler, AZ · On-site

You will work alongside data scientists and full-stack engineers to deliver AI-powered solutions across internal tooling, customer-facing features, and the supporting data/ML infrastructure. The team ...

KLA Corporation

Full Stack AI Engineer

Phoenix, AZ · On-site

You will work alongside data scientists and full-stack engineers to deliver AI-powered solutions across internal tooling, customer-facing features, and the supporting data/ML infrastructure. The team ...

Kla

Full Stack AI Engineer

Chandler, AZ · On-site

You will work alongside data scientists and full-stack engineers to deliver AI-powered solutions across internal tooling, customer-facing features, and the supporting data/ML infrastructure. The team ...

KLA Corporation

Full Stack AI Engineer

Ann Arbor, MI

You will work alongside data scientists and full-stack engineers to deliver AI-powered solutions across internal tooling, customer-facing features, and the supporting data/ML infrastructure. The team ...

Orbotech

Full Stack AI Engineer

Chandler, AZ

You will work alongside data scientists and full-stack engineers to deliver AI-powered solutions across internal tooling, customer-facing features, and the supporting data/ML infrastructure. The team ...

KLA Corporation

Full Stack AI Engineer

Ann Arbor, MI · On-site

You will work alongside data scientists and full-stack engineers to deliver AI-powered solutions across internal tooling, customer-facing features, and the supporting data/ML infrastructure. The team ...

Kla

Full Stack AI Engineer

Phoenix, AZ · On-site

You will work alongside data scientists and full-stack engineers to deliver AI-powered solutions across internal tooling, customer-facing features, and the supporting data/ML infrastructure. The team ...

Maigrate

Full Stack AI Engineer

Lawrence, NY · Remote

$150K - $175K/yr

Build and own full-stack features across our product - from the UI to the backend to the ... Build AI-powered systems and help shape how we integrate them into customer workflows * Make smart ...

ClifyX

Senior Full Stack AI Engineer

Minneapolis, MN · On-site

They are seeking a Senior Full Stack AI Engineer to design, build, and scale AI capabilities that enhance Portfolio Management and Research workflows. Responsibilities : • We are seeking a Senior ...

BC Forward

Full Stack AI Developer

Charlotte, NC · On-site

$89.73/hr

Full Stack AI Developer Location: Charlotte, NC / Jacksonville, FL Duration: Contract - 12 months Pay Range: $89.73/hr (W2) Job ID: 399638 About BCforward BCforward is a leading global IT consulting ...

Maigrate LLC

Full Stack AI Engineer

Lawrence, NY · On-site

$150K - $175K/yr

Build and own full-stack features across our product - from the UI to the backend to the ... Build AI-powered systems and help shape how we integrate them into customer workflows * Make smart ...

Taxo

Full Stack AI Engineer

San Francisco, CA

What We're Looking For • 3+ years of experience in full-stack development with exposure to AI/ML applications. • Proficiency in front-end frameworks (e.g., React) and back-end development (e.g ...

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All JobsFull Stack Ai Engineer Jobs

Full Stack Ai Engineer information

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$44.5K

$134.8K

$190.5K

How much do full stack ai engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for full stack ai engineer in the United States is $134,771.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $158,000.00 per year, depending on experience, location, and employer.

What is a Full Stack AI Engineer?

A Full Stack AI Engineer is a professional who develops and deploys artificial intelligence solutions across both the front-end and back-end of applications. They combine expertise in AI and machine learning with software engineering skills, allowing them to build, integrate, and maintain AI-powered features throughout the entire technology stack. Their responsibilities often include designing machine learning models, integrating them with APIs, and ensuring seamless user experiences on web or mobile platforms. Full Stack AI Engineers bridge the gap between data science and software development, enabling scalable and production-ready AI applications.

How do Full Stack AI Engineers typically collaborate with data scientists and front-end developers on AI-driven projects?

Full Stack AI Engineers often serve as the bridge between data scientists, who develop machine learning models, and front-end developers, who build user interfaces. They work closely with data scientists to understand the model requirements and deployment needs, and with front-end teams to ensure seamless integration of AI functionalities into applications. This collaboration requires effective communication skills and a clear understanding of both the technical and user experience aspects. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth teamwork and successful project outcomes.

What are the key skills and qualifications needed to thrive as a Full Stack AI Engineer, and why are they important?

To thrive as a Full Stack AI Engineer, you need strong programming skills (such as Python, JavaScript), understanding of machine learning algorithms, and experience with both front-end and back-end development, often supported by a degree in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, Azure, GCP), and containerization tools (Docker, Kubernetes) is typically required. Excellent problem-solving abilities, collaboration, and effective communication are standout soft skills in this role. These skills and qualifications enable the seamless integration of AI models into scalable applications, ensuring innovative and robust solutions.
More about Full Stack Ai Engineer jobs
What cities are hiring for Full Stack Ai Engineer jobs? Cities with the most Full Stack Ai Engineer job openings:
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Full Stack Ai Engineer jobs near you
Infographic showing various Full Stack Ai Engineer job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $134,771 per year, or $64.8 per hour.

Senior Full Stack AI Engineer

Tata Consultancy Service Limited

Minneapolis, MN • On-site

$100K - $120K/yr

Full-time

Re-posted 4 days ago

Job description

Senior Full Stack AI Engineer
Required Qualifications
• 8+ years of experience in software engineering, automation, or platform engineering roles.
• Proven hands-on experience implementing LLM based or agentic AI solutions in enterprise environments.
• Demonstrated expertise with Anthropic Cloud Code and advanced Claude services (including interpreter style workflows).
• Strong understanding of agent architectures, tool orchestration, and secure AI platform design.
• Experience working with investment, research, or Portfolio Management business users.
• Proficiency in Python and modern cloud native development patterns.
Required Qualifications
• Experience building AI platforms or shared AI services in financial services or regulated environments.
• Familiarity with portfolio management, investment research, or quantitative analytics workflows.
• Experience integrating AI solutions with enterprise data platforms and analytics stacks.
• Exposure to Responsible AI frameworks, model governance, and audit requirements.
Roles & Responsibilities
We are seeking a Senior AI Automation Engineer to mature and expand our enterprise AI Platform AgentCore by designing, building, and scaling new AI driven capabilities that directly support Portfolio Management and Research workflows. This role will serve as a hands on technical leader responsible for operationalizing Anthropic Cloud Code and advanced Claude services (including Claude Interpreter) across the clientdelivering secure, governed, and reusable AI components. The engineer will work closely with Portfolio Managers, Research Analysts, and Quant teams to translate high value investment use cases into production grade agentic solutions deployed on AgentCore.
AI (AgentCore) Platform Maturity
• Design agentic workflows and multi agent orchestration patterns using approved AgentCore frameworks and runtimes.
• Build AI capabilities that leverage:
• Tool calling
• Retrieval augmented generation (RAG)
• Structured data semantics
• Reusable prompt and skill
Value Realization & Platform Adoption
• Demonstrate measurable impact on research productivity, decision velocity, and analytical depth.
• Support adoption via reference implementations, documentation, and enablement materials.
• Provide architectural guidance to teams building on AgentCore to prevent fragmentation and shadow AI.Enterprise Platform Enablement
• Integrate AI automation into existing enterprise platforms (e.g., CI/CD pipelines, SDLC tooling, cloud platforms).
• Esta blish reusable AI components, frameworks, and guardrails for product and engineering teams.
• Enable adoption through reference architectures, implementation patterns, and developer enablement.
Value Realization & Measurement
• Identify and quantify productivity, quality, and cycle time improvements driven by AI.
• Define KPIs and success metrics tied to SDLC efficiency, developer experience, and risk reduction.
• Support executive visibility into AI driven outcomes and maturity progress.
Salary Range- $100,000-$120,000 a year
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