ZipRecruiter

Log In

1

Backend Ai Engineer Jobs in Edgemoor, SC (NOW HIRING)

Kaleidoscope

AI Engineer

Charlotte, NC · On-site

$100K - $131K/yr

Job Specs - AI Engineering Lead About this role Wells fFargo is seeking a AI engineering Lead in ... Drive complex, multi-domain AI initiatives , ensuring technical excellence across backend services ...

Lowe's

Software Engineer -- Backend/AI

Charlotte, NC

$75K - $143K/yr

Implements continuous integration/continuous delivery processes to ensure quality and efficiency in the development cycle using DevOps automation processes and tools. * Ideates, builds, and publishes ...

Capco

Sr. AI Engineer

Charlotte, NC · On-site

$102K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Contribute to full-stack AI solutions, including backend services, APIs, and user-facing components ... engineering experience with exposure to AI/ML or data-driven applications * Hands-on experience ...

Capco

Sr. AI Engineer

Charlotte, NC · Hybrid

$102K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Contribute to full-stack AI solutions, including backend services, APIs, and user-facing components ... engineering experience with exposure to AI/ML or data-driven applications * Hands-on experience ...

Randstad Digital

AI Engineer

Charlotte, NC · On-site

$51.59 - $61.59/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Agile development methodology,Angular,APIs,AI,Artificial Intelligence,AI development,scalable AI,AI frameworks,retrieval systems,backend services,CI/CD,data integration,DevOps,GitHub,knowledge graphs ...

Total Quality Logistics

AI Architect

Charlotte, NC · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

You will partner closely with Engineering, Product Management, Data and Operations leadership to ... Backend development in Python with working knowledge of C# or Node.js. * Hands-on experience with ...

Trilon

Applied AI Field Engineer

Charlotte, NC · On-site

The Applied AI Engineer plays a critical role in that mission by building the AI-powered features ... Experience integrating AI capabilities into applications via APIs and backend systems * Strong ...

Compunnel

Sr. Python AI developer

Charlotte, NC · On-site

$118K - $159K/yr

... Engineer with strong backend Python development experience and proven expertise in delivering AI-driven solutions. The ideal candidate will have experience building production-grade AI applications ...

next page

Showing results 1-20

All JobsBackend Ai Engineer JobsBackend Ai Engineer Jobs in Edgemoor, SC

Backend Ai Engineer information

See Edgemoor, SC salary details

$50.9K

$124.3K

$167.5K

How much do backend ai engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for backend ai engineer in Edgemoor, SC is $124,310.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,400.00 and $144,800.00 per year, depending on experience, location, and employer.

What is a Backend AI Engineer?

A Backend AI Engineer is a software engineer who specializes in building and maintaining the server-side infrastructure for artificial intelligence applications. Their work involves designing APIs, integrating machine learning models, managing databases, and ensuring efficient data flow between systems. They collaborate with data scientists and frontend developers to deploy AI models at scale and make them accessible through robust backend services. Key skills for this role include programming (often in Python, Java, or similar languages), cloud computing, and knowledge of AI frameworks.

What are the key skills and qualifications needed to thrive as a backend AI engineer?

To thrive as a Backend AI Engineer, you need strong programming skills (especially in Python or Java), a deep understanding of algorithms and data structures, and a background in computer science or related fields. Familiarity with AI/ML frameworks (like TensorFlow or PyTorch), RESTful APIs, databases, and cloud platforms is typically expected, along with relevant certifications. Exceptional problem-solving abilities, teamwork, and effective communication are soft skills that distinguish top performers. These competencies are crucial for designing robust, scalable AI solutions that integrate seamlessly with backend systems and drive innovation.

What are some common challenges backend AI engineers face when deploying machine learning models to production?

Backend AI Engineers often encounter challenges such as ensuring model scalability, maintaining low latency, and handling diverse data inputs during deployment. Integrating models into existing backend systems can also require careful consideration of APIs, security, and resource management. Additionally, monitoring model performance and updating models with new data are ongoing responsibilities that require close collaboration with data scientists, DevOps, and product teams.

What is the difference between Backend Ai Engineer vs Data Scientist?

AspectBackend Ai EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related field; knowledge of programming, AI frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops AI models, integrates AI into backend systems, collaborates with software teamsAnalyzes data, builds models, interprets data insights, collaborates with business teams
Industry UsageTech companies, AI startups, software firmsResearch institutions, tech companies, finance, healthcare
Common Search/ComparisonYesYes

While both roles involve working with AI and data, Backend Ai Engineers focus on integrating AI models into backend systems and developing scalable AI solutions. Data Scientists primarily analyze data, build predictive models, and generate insights. The roles often overlap in skills and tools but differ in their core focus—system integration versus data analysis.

What cities near Edgemoor, SC are hiring for Backend Ai Engineer jobs?

Cities near Edgemoor, SC with the most Backend Ai Engineer job openings:

Backend Ai Engineer jobs near you
Infographic showing various Backend Ai Engineer job openings in Edgemoor, SC as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $124,310 per year, or $59.8 per hour.

AI Engineer

Kaleidoscope

Charlotte, NC • On-site

$100K - $131K/yr

Other

Posted 4 days ago

Job description

We are unable to sponsor or take over sponsorship of an employment visa at this time.
Job Specs - AI Engineering Lead
About this role
Wells fFargo is seeking a AI engineering Lead in CIB
In This role you will
Lead end-to-end design and development of AI systems including chatbots, Retrieval Augmented Generation (RAG) platforms, autonomous agents, and workflow automation tools.
Drive complex, multi-domain AI initiatives, ensuring technical excellence across backend services, front-end experiences, and AI model integrations.
Architect scalable and secure, AI solutions leveraging Google, OpenAI, Anthropic, Vertex AI, and GitHub's AI ecosystem.
Oversee enterprise-grade deployment pipelines using OpenShift (OCP), Kubernetes, and robust CI/CD patterns to ensure reliable production delivery.
Establish engineering best practices across Python, TypeScript, and React for modern, AI-enabled applications.
Guide prompt engineering, skill engineering, and model evaluation approaches including guardrails, observability, red teaming, and hallucination detection.
Lead and mentor engineering pods , providing technical direction, career development, and architectural guidance.
Ensure systems are fully observable, monitored, and resilient, integrating fallback logic and safety controls to mitigate model and system failures.
Partner closely with UI/UX, platform, cybersecurity, and governance teams to deliver compliant, user-centric, and secure AI solutions at enterprise scale.
Collaborate with business stakeholders and product owners to align AI capabilities with strategic outcomes and define delivery roadmaps.
Ensure compliance with cybersecurity, data privacy, and model risk management standards required in regulated financial-services environments.
Resolve complex technical issues, escalating and troubleshooting challenges across AI pipelines, backend services, front-end apps, and infrastructure.
Lead Agile delivery processes, driving sprint execution, backlog prioritization, risk mitigation, and cross-team coordination.
Be well versed in emerging AI technologies, staying current with LLM advancements, evaluation techniques, vector search, and responsible AI practices.
Collaborate and influence across all levels, including senior managers, platform teams, and cross-functional partners to advance the AI engineering strategy.
Required Qualifications:
  • 10+ years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • Expert-level proficiency in:
    • Python (AI/ML, backend, orchestration)
    • TypeScript and modern React frameworks
  • Experience building solutions using:
    • OpenAI, Anthropic, Google (Vertex AI), GitHub Copilot / GitHub ecosystem
  • Hands-on experience deploying applications using:
    • OCP/OpenShift, , Kubernetes, CI/CD pipelines
  • Proven ability to lead multiple engineering pods and mentor engineers across levels.
  • Comfortable executing Agile methodologies across short sprint cycles.
  • Strong understanding of:
    • Cybersecurity controls
    • Model risk management
    • Compliance requirements in regulated financial-services environments

Desired Qualifications:
  • Experience building high-availability banking or financial applications.
  • Familiarity with vector databases, embeddings, search systems (e.g., ChromaDB,, Elasticsearch, Redis Vector).
  • Understanding of evaluation frameworks for LLM outputs (hallucination detection, guardrails, red-teaming).
  • Exposure to MLOps fundamentals and responsible AI concepts.

Job Expectations:
Key Responsibilities
Technical Leadership
  • Lead end-to-end design and implementation of AI systems including chatbots, Retrieval-Augmented Generation (RAG), autonomous agents, and workflow automation tools.
  • Architect scalable, secure solutions leveraging industry-leading AI providers (OpenAI, Anthropic, Google Vertex AI, GitHub Copilot).
  • Oversee production deployment pipelines using OCP (OpenShift Container Platform) for containerization, orchestration, and runtime operations.
  • Define best practices for Python, TypeScript, and React development within AI-enabled applications.

Project Delivery & Team Management
  • Manage and mentor pod teams (approx. 4 / 6 engineers each), ensuring high-quality execution and technical rigor.
  • Drive delivery roadmaps, project sequencing, and risk mitigation across multiple concurrent AI initiatives.
  • Partner with UI/UX designers to build intuitive, compliant, and enterprise-ready user experiences.
  • Guide prompt engineering, skill engineering, and evaluation frameworks for AI model tuning and safety.

Operational Excellence
  • Ensure all AI deployments meet enterprise security, data privacy, and regulatory compliance standards required in Corporate & Investment Banking.
  • Collaborate with cybersecurity, risk, and governance teams to enforce secure coding, model-handling, and data-access patterns.
  • Design robust observability, monitoring, and fallback strategies for AI-driven production systems.

Collaboration & Stakeholder Engagement
  • Work closely with product owners, business stakeholders, and platform teams to align AI capabilities with business outcomes.
  • Communicate feasibility, architectural trade-offs, delivery timelines, and technical risks.
  • Stay current with industry trends, emerging AI technologies, model evaluation techniques, and AI governance standards.

Kaleidoscope, an Infosys Company, is an equal opportunity employer, and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability.

Apply