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Ai Coding Jobs in Raleigh, NC (NOW HIRING)

Jewelers Mutual Group

AI Team Lead

Raleigh, NC · On-site

This is a player coach role: you'll be deep in the code, mentor the next generation of AI engineers, and make sure the squad delivers real business value sprint after sprint. Leadership here means ...

DataAnnotation

SDLC Engineer - AI Trainer

Raleigh, NC · Remote

$40 - $75/hr

We are looking for a proficient Coder (part-time work from home) to help advance AI development. As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 ...

DataAnnotation

SDLC Engineer - AI Trainer

Cary, NC · Remote

$40 - $75/hr

We are looking for a proficient Coder (part-time work from home) to help advance AI development. As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 ...

DataAnnotation

SDLC Engineer - AI Trainer

Durham, NC · Remote

$40 - $75/hr

We are looking for a proficient Coder (part-time work from home) to help advance AI development. As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 ...

ReFibuy, Inc.

Full Stack Engineer

Raleigh, NC

CI/CD, preview envs, AI coding tools, internal libraries. Minimum Qualifications * 3+ years shipping production apps with modern TypeScript/React or C#/.NET. * Solid grasp of SSR, state management ...

DataAnnotation

QA Engineer - AI Trainer

Cary, NC · Remote

$40 - $75/hr

We are looking for a proficient Coder (part-time work from home) to help advance AI development. As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 ...

DataAnnotation

AI Security Specialist

Durham, NC · Remote

$40 - $75/hr

Write clear technical explanations and security-relevant code. * Provide feedback that directly shapes the next generation of AI security models. Qualifications: * 2+ years of hands-on experience in ...

DataAnnotation

AI Security Specialist

Cary, NC · Remote

$40 - $75/hr

Write clear technical explanations and security-relevant code. * Provide feedback that directly shapes the next generation of AI security models. Qualifications: * 2+ years of hands-on experience in ...

DataAnnotation

QA Engineer - AI Trainer

Raleigh, NC · Remote

$40 - $75/hr

We are looking for a proficient Coder (part-time work from home) to help advance AI development. As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 ...

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All JobsAi Coding JobsAi Coding Jobs in Raleigh, NC

Ai Coding information

See Raleigh, NC salary details

$13

$32

$53

How much do ai coding jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for ai coding in Raleigh, NC is $32.10, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $38.80 per hour, depending on experience, location, and employer.

How much do AI coders make?

AI coders, also known as AI software developers, typically earn between $80,000 and $150,000 annually, depending on experience, location, and skill level. Senior roles or those with expertise in machine learning, deep learning, and relevant programming languages like Python can command higher salaries.

What is an AI Coding job?

An AI Coding job involves developing, training, and optimizing artificial intelligence models and algorithms. Professionals in this role typically work with machine learning, deep learning, and data processing to create AI-driven applications. They use programming languages like Python and frameworks such as TensorFlow or PyTorch to build intelligent systems. AI coders may also fine-tune models, improve efficiency, and deploy AI solutions for various industries.

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

To thrive in an AI Coding role, a strong background in computer science, programming languages (such as Python or Java), and machine learning fundamentals is essential. Familiarity with AI frameworks (like TensorFlow, PyTorch), cloud platforms, and relevant certifications (such as TensorFlow Developer Certificate) is highly valuable. Strong analytical thinking, creativity, and effective teamwork are important soft skills for excelling in this position. These skills ensure you can develop robust AI solutions, adapt to evolving technologies, and collaborate effectively with cross-functional teams.

What are the typical daily responsibilities for someone working in AI Coding?

Professionals in AI Coding typically spend their days designing, writing, and debugging code for machine learning models or AI-driven applications. They often collaborate with data scientists, product managers, and engineers to define project requirements, process data, and integrate AI solutions into existing systems. Regular tasks may include training and testing models, improving algorithm performance, and documenting code or processes. You’ll also likely participate in team meetings and code reviews to ensure alignment and maintain high-quality standards. This dynamic environment provides continuous opportunities to learn and innovate within the field of artificial intelligence.

What are the most commonly searched types of Ai Coding jobs in Raleigh, NC? The most popular types of Ai Coding jobs in Raleigh, NC are:
What are popular job titles related to Ai Coding jobs in Raleigh, NC? For Ai Coding jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Ai Coding jobs in Raleigh, NC look for? The top searched job categories for Ai Coding jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Ai Coding jobs? Cities near Raleigh, NC with the most Ai Coding job openings:
Ai Coding jobs near you
Infographic showing various Ai Coding job openings in Raleigh, NC as of June 2026, with employment types broken down into 74% Full Time, 25% Part Time, and 1% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $66,762 per year, or $32.1 per hour.
Agentic AI Engineer

Agentic AI Engineer

Cadence Design Systems, Inc.

Cary, NC • On-site

Full-time

Posted 7 days ago

Job description

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.
Agentic AI Engineer
Role Summary
Cadence is hiring early-career Agent AI Engineers to join our applied AI team building agentic systems for silicon design. You will work alongside senior AI engineers and chip-design domain experts on the core technical pillars of Cadence's agentic stack: training and adapting models for engineering tasks, engineering high-quality design context (RAG, prompt scaffolds, retrieval pipelines), and tuning the knowledge graphs and vector/graph databases that ground our agents. From day one you will be writing production code that lands in customer-facing AI products and directly accelerates how the world designs chips.
What You Will Do
  • Model Development. Train, fine-tune, distill, and evaluate LLMs / SLMs and embedding models for EDA-specific tasks. Hands-on with LoRA / PEFT, instruction tuning, preference optimization (DPO/GRPO), and rigorous eval harnesses for code and reasoning.
  • Design Context Engineering. Build the retrieval pipelines, prompt scaffolds, and tool-calling specs that feed Cadence agents the right design context (RTL, scripts, logs, reports, methodology docs) at the right token budget. Optimize for accuracy, latency, and cost.
  • Knowledge Graph & Database Tuning. Design schemas, tune ingestion, and optimize queries for graph DBs (Neo4j, ArangoDB, NebulaGraph) and vector stores (Qdrant, Weaviate, pgvector, Chroma). Keep retrieval fast, accurate, and scoped to the right design hierarchy.
  • Agent Building Blocks. Implement and harden agent tools, memory, multi-hop reasoning patterns, and guardrails. Triage production failures and iterate.
  • Data Pipelines. Curate, clean, and label datasets from EDA artifacts (RTL, waveforms, logs, reports, schematics). Build synthetic-data and self-improvement loops where appropriate.
  • Evaluation & Telemetry. Build offline benchmarks and online metrics. Help define what 'good' looks like for chip-design agents and keep regressions out of main.
  • Collaborate & Learn. Pair with senior AI engineers, BU teams, and silicon domain experts. Learn the EDA flow as you go - we'll invest in you if you invest in the craft.

Must-Have Qualifications
  • BS / MS / PhD in CS, EE, ECE, AI/ML, or a closely related field (graduating in 2025-2026; recent grads also welcome).
  • Strong fundamentals in deep learning, transformers, and modern LLM mechanics (attention, tokenization, context windows, decoding).
  • Practical hands-on experience (coursework, internships, OSS, or serious side projects) with at least TWO of: LLM fine-tuning, RAG / retrieval, agentic frameworks, knowledge graphs, vector databases.
  • Solid Python engineering: comfortable with PyTorch and Hugging Face; writes clean, tested, version-controlled code.
  • Curiosity about silicon / chip design and willingness to learn a deep technical domain on the job.
  • Strong written and verbal communication; bias to ship working code over perfect plans.

Nice-to-Have / Bonus
  • Prior internship in AI/ML at a product company or research lab with shipped artifacts.
  • Hands-on with at least one agentic framework: LangGraph, AutoGen, Cursor SDK, Claude Code, MCP-based tool-calling stacks.
  • Experience with graph DBs (Neo4j, ArangoDB, NebulaGraph) and / or vector DBs (Qdrant, Weaviate, pgvector, Chroma, Milvus).
  • ML systems / infra exposure: vLLM, TGI, Triton, distributed training, GPU performance tuning, quantization.
  • Coursework or projects in compilers, formal methods, hardware description languages (Verilog/SystemVerilog/Chisel), or EDA tools.
  • Publications, OSS contributions, or competitive ML records (Kaggle medals, MLPerf, agent benchmarks, hackathon wins).

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