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Embeddings Engineer Jobs

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27d ago

Applied AI Engineer

Ovivo Round Rock, TX

Round Rock, TX

27d ago

Full time Ai Engineering Artificial Intelligence Data Engineer

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Job Description

Ovivo is hiring an Applied AI Engineer to design and deliver practical AI-enabled solutions that create measurable business value. This hybrid role in Round Rock, TX focuses on document intelligence, workflow automation, and enterprise data integration, working closely with business and technical teams to prototype, integrate, and drive adoption.

Key Responsibilities

Design and deliver AI solutions, including LLM-based applications, enterprise search, and document intelligence workflows
Serve as an internal AI consultant by facilitating discovery workshops, identifying opportunities across business functions, building stakeholder alignment, and supporting change management efforts that drive adoption and outcomes
Create proof-of-value prototypes to demonstrate quick wins and measurable impact
Develop and maintain AI systems spanning data ingestion, data processing, model integration, evaluation, deployment, APIs, and user-facing interfaces where applicable
Integrate AI solutions with enterprise systems, data platforms, and APIs
Ensure solutions are grounded in trusted, governed enterprise data
Partner with IT and security to align with architecture, access controls, and cybersecurity standards
Apply responsible AI practices, including testing, monitoring, data privacy, and human oversight
Communicate AI capabilities, limitations, and business value to both technical and non-technical stakeholders
Support adoption by helping stakeholders understand how AI fits into existing business processes

Required Qualifications

Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related technical field (or equivalent practical experience)
3+ years of experience in software engineering, data engineering, AI/ML engineering, or a related role
Hands-on experience building, testing, and deploying AI or machine learning solutions
Experience translating business problems into technical solutions and collaborating with cross-functional stakeholders
Experience leading discovery sessions, stakeholder engagement, change management initiatives, or technology adoption efforts in a business environment
Proficiency with Python or similar technologies and API-based software development
Experience with generative AI, including large language models, prompt engineering, and embeddings
Strong understanding of SQL, enterprise data platforms, and data governance
Knowledge of responsible AI practices, including privacy, security, and human-in-the-loop design
Strong troubleshooting, documentation, and production support skills
Ability to clearly communicate technical concepts and drive stakeholder alignment

Technologies

Python
LLM-based applications
Large language models
Prompt engineering
Embeddings
SQL
APIs

Preferred Skills

Experience with document intelligence or enterprise knowledge systems
Experience with workflow automation, backend development, or lightweight UI development
Exposure to production AI operations, governance frameworks, or model risk management
Experience serving as an internal consultant, product owner, or technical advisor for business transformation initiatives

Benefits

Medical, Dental and Vision benefits
401k Match of 4%
Parental Leave
Company paid life insurance along with company paid short and long-term disability
11 paid holidays
Three weeks of PTO per year (prorated based on start date)
Roll over of 64 PTO hours to the following year
Sixteen personal hours (hire date determines number of personal hours for the first year)
Days off between Christmas Eve and New Year’s Day, paid by the company with no impact to PTO balance
Annual Incentive Plans based on Company Profit

Work Location and Schedule

This position is located in Round Rock, TX with a hybrid schedule, including roughly 50% of time in the Round Rock, Texas office.

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30d ago

Forward-deployed AI Engineer

SCAN Group Long Beach, CA

Long Beach, CA

30d ago Closed

$125k - $216k/yr Full time Backend Developer Agentic Ai Orchestration Ai Agent Platform

This position is no longer accepting applications (closed Sep 20, 2026).

Job Description

SCAN Group is looking for a Forward Deployed AI Engineer to embed with internal teams and help translate real operational needs into AI-enabled production systems. In this role, you will work closely with business leaders and engineering partners to identify measurable opportunities, prototype quickly, and deliver solutions built on SCAN’s enterprise AI capabilities.

Based onsite in Long Beach, CA, this position focuses on turning ambiguity into clear technical requirements, deploying reliable AI applications, and continuously improving impact after launch across teams and domains.

What you’ll do

Embed with SCAN teams to understand workflows, operational challenges, and strategic priorities.
Lead discovery through stakeholder interviews, workflow observation, process analysis, and opportunity assessment.
Translate unclear business problems into technical requirements with measurable success criteria.
Build trusted relationships with SCAN leaders and act as a strategic technology partner.
Design, develop, test, deploy, and support AI-enabled applications using SCAN’s large language models (LLMs), AI agents, retrieval-augmented generation (RAG), workflow automation, APIs, and modern software engineering practices.
Rapidly prototype solutions, validate concepts with users, and iterate based on business feedback.
Build production-ready software using SCAN’s enterprise AI platform, including opportunities to reverse-integrate new capabilities back into the core platform.
Evaluate emerging AI technologies and recommend approaches aligned to business needs.
Translate complex business requirements into scalable, maintainable technical architectures.
Collaborate with architects, product managers, platform engineers, data engineers, and security teams to deliver enterprise AI solutions.
Develop reusable components, patterns, and technical assets to accelerate future AI development.
Contribute to engineering standards, best practices, and continuous improvement across the AI organization.
Establish measurable success metrics for AI solutions and monitor business impact after deployment.
Continuously optimize solutions using operational data, user feedback, and evolving business needs.
Identify additional automation and AI opportunities through ongoing engagement with business partners.
Support organizational adoption through education, coaching, and change management.
Apply responsible AI practices, including transparency, traceability, explainability, fairness, privacy, and human oversight.
Partner with security, compliance, legal, and governance teams to support safe and appropriate AI use.
Document solution design, risks, controls, assumptions, and operational considerations for AI systems.
Ensure AI solutions comply with organizational standards, regulatory requirements, and security policies.

Required qualifications

Bachelor’s Degree or equivalent experience in computer science, engineering, or a related field.
Deep applied understanding of LLM-based architectures, RAG, vector embeddings, prompt engineering, and agent orchestration.
Experience designing, building, and deploying AI-enabled applications, services, workflows, and integrations.
Proficiency with Azure AI Services, Azure AI Foundry, and enterprise content management platforms (SharePoint, Microsoft 365, Teams, Confluence).
Strong Python (or equivalent), REST APIs, ML/LLMOps tooling, and frameworks (FastAPI, LangChain, Microsoft Agent Framework, etc.).
Ability to connect business requirements to technical solutions, build reusable components, and improve adoption and operational impact.
Collaborative communicator comfortable engaging non-technical stakeholders and cross-functional teams.
Curiosity and initiative with continuous learning, adapting quickly to new frameworks and technologies.
Leadership skills to develop others.
Business insight, problem-solving skills, and a strategic mindset focused on sustaining competitive advantage.

Technologies

Python, REST APIs, FastAPI, LangChain, Microsoft Agent Framework
Azure AI Services, Azure AI Foundry
SharePoint, Microsoft 365, Teams, Confluence
LLMs, AI agents, retrieval-augmented generation (RAG), vector embeddings
Prompt engineering, agent orchestration
ML/LLMOps tooling, enterprise AI platform

Compensation & benefits

Base salary range: $125,400 to $215,975 per year
Annual employee bonus program
Robust Wellness Program
Generous paid-time-off (PTO)
11 paid holidays per year, 1 floating holiday, birthday off, and 2 volunteer days
Excellent 401(k) Retirement Saving Plan with employer match
Robust employee recognition program
Tuition reimbursement
Opportunity to join a team making a difference to members and the community

Preferred experience & certifications

6+ years of experience in AI engineering, software engineering, data engineering, machine learning, automation, or enterprise technology delivery, ideally in regulated industries such as healthcare.
3+ years hands-on experience building AI-enabled applications, integrating large language models, implementing RAG patterns, or delivering machine learning solutions.
Experience delivering enterprise-scale AI or digital transformation initiatives with cross-functional collaboration (business, healthcare, data, security, compliance, and technology).
Experience building production-grade applications, APIs, data pipelines, automation workflows, or cloud-based AI services.
Familiarity with Azure AI Foundry, Azure OpenAI, Azure AI Services, Databricks, Snowflake, or similar enterprise AI and data platforms.
Microsoft Certified: Azure AI Engineer Associate (or relevant certifications in cloud platforms, AI engineering, machine learning, data engineering, or software development).
Additional certifications in Responsible AI, Data Governance, Cybersecurity, or Healthcare Informatics are advantageous.
Domain expertise in healthcare, including regulatory and member-focused nuances, is a plus.

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1mo ago

Applied AI Engineer

Apple Cupertino, CA

Cupertino, CA

1mo ago Closed

$150k - $278k/yr Full time Python Agentic Ai AI

This position is no longer accepting applications (closed Sep 6, 2026).

Job Description

Build AI-native developer and data platforms that accelerate how Apple ships next-generation devices.

Responsibilities

Develop novel AI-powered platforms that change how engineers explore, analyze, and act on complex program data
Design data infrastructure that unifies diverse knowledge sources and provides the right context to AI and engineers at the right time with appropriate access controls
Create reproducible analysis workflows with full provenance tracking so AI-generated insights can be trusted, iterated on, and shared across disciplines
Build agentic pipelines to automate multi-step research and analysis while keeping engineers in the loop for steering and validation
Develop infrastructure for continuous automated intelligence, including CI-integrated analysis and background monitoring that surfaces what matters
Design collaboration systems that help cross-functional teams (SW, HW, Design, Human Factors) accumulate and leverage shared institutional knowledge
Partner with algorithm teams shipping features for iPhone, Apple Watch, iPad, and future products to understand data challenges and deliver tooling that compounds over time

Requirements

3+ years of software engineering experience
Proficiency in Python and at least one of: Swift, TypeScript, or another systems-level language
Experience designing and building backend services, data pipelines, or platform infrastructure
Hands-on experience building with modern AI and agent frameworks
Strong software architecture and API design sensibilities; systems-level thinking over scripting
Experience with retrieval pipelines such as RAG, embeddings, and vector search, or knowledge retrieval systems
Strong communicator across disciplines
Experience evaluating and iterating on AI system outputs, including building evaluation pipelines, measuring quality, and running feedback loops
Strong problem-solving instincts with a bias toward shipping
BS or MS in Computer Science, Software Engineering, Data Engineering, or equivalent experience

Technologies

Python, Swift, TypeScript
LLMs, MCP, function calling
Pinecone, Chroma, pgvector, vector databases
embedding pipelines, RAG, embeddings, vector search
CI-integrated analysis, agentic pipelines
AWS Bedrock, Azure OpenAI, Google Vertex AI
macOS, iOS
modern AI and agent frameworks, retrieval pipelines

Preferred Qualifications

Experience building macOS or iOS client applications
Background in workflow orchestration, experiment tracking, or reproducibility tooling
Experience designing data models, storage layers, or integration APIs for complex domains
Experience integrating LLMs with external tools and APIs (tool-use patterns, MCP, function calling) or building custom integrations between LLMs and external systems
Familiarity with access-controlled or policy-aware data systems
Experience with vector databases or embedding pipelines (Pinecone, Chroma, pgvector, or similar)
Track record building developer tools, CLIs, or internal platforms engineers rely on daily
Experience with cloud AI services (AWS Bedrock, Azure OpenAI, Google Vertex AI) or self-hosted model serving
Contributions to open-source projects in AI/ML infrastructure
Comfort navigating large, established codebases and shipping iteratively within them

Pay & Benefits

Base pay range: $150,400 to $277,600 per year
Opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs
Eligibility for discretionary restricted stock unit awards
Can purchase Apple stock at a discount if voluntarily participating in the Employee Stock Purchase Plan
Comprehensive medical and dental coverage
Retirement benefits
Discounted products and free services
Reimbursement for certain educational expenses, including tuition
Role may be eligible for discretionary bonuses or commission payments as well as relocation
Note: Benefits, compensation, and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program

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2mo ago

Senior AI Engineer

Home Depot / THD Denver, CO 🇺🇸 Remote

Denver, CO

2mo ago Closed

Full time AI Ai Ml API

This position is no longer accepting applications (closed Aug 18, 2026).

Job Description

The Home Depot, a leader in retail and home improvement, is seeking a Senior AI Engineer to design, build, and scale production-grade agentic AI systems that drive measurable business outcomes. This role collaborates across data science, ML engineering, and software teams to turn AI concepts into enterprise-ready products, with a focus on LLM and SLM powered applications, RAG frameworks, and multi-agent workflows deployed in the cloud. The position is based in Denver, CO with a remote work option.

Responsibilities

Delivery and Execution: Collaborate with UX, engineering, and product management to create secure, reliable, and scalable ML solutions; document and ensure quality and change-control standards are met; ensure user stories are developer-ready, easy to understand, and testable; write custom code to automate infrastructure, monitoring services, and test cases.
Learning: Engage in ongoing learning around modern software design, machine learning, and development practices; proactively study articles, tutorials, and videos to stay current on technologies used across organizations.
Support and Enablement: Field questions from product and support teams; monitor tools and foster cross-team collaboration; provide production application support; monitor production service level objectives and review the performance and capacity of code, infrastructure, data, messaging, and prediction quality.

Requirements

Experience: 6+ years in AI, machine learning engineering, or software engineering with strong Python development skills and modern software engineering practices.
AI Delivery: Proven experience building and deploying production-grade AI solutions using LLMs, SLMs, RAG frameworks, copilots, agents, and multi-agent systems.
AI Foundations: Deep understanding of AI and ML fundamentals including transformers, embeddings, deep learning, prompt engineering, agentic reasoning patterns, and vector databases.
Orchestration & Integration: Experience developing orchestration layers (task execution, routing, planning, workflows) and integrating AI solutions with enterprise platforms, APIs, and business systems.
Infrastructure & MLOps: Expertise in cloud-native architectures, containerization (Docker) and orchestration (Kubernetes/GKE), infrastructure as code (Terraform), and AI pipeline design with hands-on MLOps/LLMOps practices (CI/CD, automated testing, model versioning and registries, governance, security) across the full AI/agent lifecycle.
AIOps & Deployment Reliability: Experience building automated CI/CD pipelines for AI/agentic systems, progressive rollout strategies (canary, blue-green, shadow deployments) with automated rollback, and end-to-end observability (logs, metrics, distributed tracing, alerting) across models, agents, and orchestration layers to ensure reliability, performance, and cost/token efficiency at scale.
Optimization & Debugging: Ability to optimize complex AI systems for performance, reliability, scalability, latency, cost efficiency, and token usage; adept at debugging operational failure modes.
Execution & Collaboration: Excellent cross-functional communication and collaboration skills, with a proven track record of taking AI solutions from concept to production in complex enterprise environments.

Technologies

Python, LLMs, SLMs, RAG frameworks
Vertex AI, Gemini, Google ADK, LangGraph, CrewAI, AutoGen
Node.js, React, REST, Linux, Git, Docker, Kubernetes, GKE
Terraform, Transformers, Embeddings, Vector databases

Benefits

Health care benefits
401K
ESPP
Paid time off
Success sharing bonus

Direct Manager / Reports

This position typically reports to a Software Engineer Manager or Senior Software Engineer Manager
This position has 0 direct reports

Travel Requirements

Typically requires overnight travel 5% to 20% of the time.

Physical Requirements

Most of the time spent sitting in a comfortable position with frequent movement opportunities
Occasional light lifting may be required

Working Conditions

Located in a comfortable indoor environment. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Qualifications

Must be eighteen years of age or older
Must be legally permitted to work in the United States

Minimum Education

The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.

Preferred Education

No additional education

Minimum Years of Work Experience

Preferred Years of Work Experience

No additional years of experience

Certifications

None

Competencies

Global Perspective
Manages Ambiguity
Nimble Learning
Self-Development
Collaborates
Cultivates Innovation
Situational Adaptability
Communicates Effectively
Drives Results
Interpersonal Savvy

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Embeddings Engineer Jobs

Applied AI Engineer

Forward-deployed AI Engineer

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Senior AI Engineer

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