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Search Engineer Jobs in Raleigh, NC (NOW HIRING)

Duke University

AI Engineer

Durham, NC · On-site

$110.50K - $132.80K/yr

AI Engineer Data Analytics Practice | Office of Information Technology Be You. The Office of ... search techniques. * Familiarity with tools and frameworks such as OpenAI APIs, Hugging Face ...

Duke University

AI Engineer

Durham, NC · Hybrid

$110.50K - $132.80K/yr

AI Engineer Data Analytics Practice | Office of Information Technology Be You. The Office of ... search techniques. * Familiarity with tools and frameworks such as OpenAI APIs, Hugging Face ...

Deloitte

AI Data Engineer Senior Consultant

Raleigh, NC · On-site

$111.30K - $133.70K/yr

... search, and retrieval and evaluation telemetry • Deliver governed datasets and feature engineering and serving patterns for machine learning training and real-time inference, including online and ...

CRB

CQV Engineer III

Raleigh, NC · On-site

Company Description CRB is a leading provider of sustainable Engineering, Architecture ... CRB does not accept unsolicited resumes from search firms or agencies. Any resume submitted to any ...

Deloitte

AI Engineer Senior Consultant

Raleigh, NC · Hybrid

$101.60K - $139.50K/yr

... search, and retrieval/evaluation telemetry. * Deliver governed datasets and feature engineering ... serving for ML training and real-time inference (online/offline consistency, caching, latency SLOs ...

CRB

CQV Engineer III

Raleigh, NC

Company Description CRB is a leading provider of sustainable Engineering, Architecture ... CRB does not accept unsolicited resumes from search firms or agencies. Any resume submitted to any ...

CRB

CQV Engineer III

Raleigh, NC · On-site

Company Description CRB is a leading provider of sustainable Engineering, Architecture ... CRB does not accept unsolicited resumes from search firms or agencies. Any resume submitted to any ...

CRB

CQV Engineer III

Raleigh, NC · On-site

Company Description CRB is a leading provider of sustainable Engineering, Architecture ... CRB does not accept unsolicited resumes from search firms or agencies. Any resume submitted to any ...

Deloitte

AI Engineer Senior Consultant

Raleigh, NC · Hybrid

$101.60K - $139.50K/yr

... search, and retrieval/evaluation telemetry. * Deliver governed datasets and feature engineering ... serving for ML training and real-time inference (online/offline consistency, caching, latency SLOs ...

Deloitte

Lead Forward Deployed Engineer - AWS

Raleigh, NC

$99.60K - $131.20K/yr

... and knowledge search experiences using one or more enterprise AI platforms (see Platform ... Engineering & Data Foundations * Review and contribute to production-quality code * Guide ...

Deloitte

AI Data Engineer - Senior Consultant

Raleigh, NC · Hybrid

$101.60K - $139.50K/yr

... search, and retrieval/evaluation telemetry. * Deliver governed datasets and feature engineering ... serving for ML training and real-time inference (online/offline consistency, caching, latency SLOs ...

Apple

AIML - Staff Machine Learning Engineer

Cary, NC · On-site

Building this system requires deep expertise in a myriad of cutting edge fields: search, natural language understanding, data engineering, machine learning, privacy preserving system design, and more.

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Search Engineer information

See Raleigh, NC salary details

$55

$69

$90

How much do search engineer jobs pay per hour?

As of May 29, 2026, the average hourly pay for search engineer in Raleigh, NC is $69.01, according to ZipRecruiter salary data. Most workers in this role earn between $59.57 and $79.47 per hour, depending on experience, location, and employer.

What Does a Search Engineer Do?

A search engineer has two primary responsibilities: to develop and program search engines and to optimize web content to achieve the best possible rankings in search results. As a search engineer, your job duties depend on your employer. If you work for a search engine company, like Google or Bing, then your job is to create the web application and algorithms that index websites and web pages to aggregate and rank search results. If you work for an e-commerce website or another business reliant on products or services, then your focus is on website analysis, keyword research, and content marketing.

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

To thrive as a Search Engineer, you need a solid background in computer science, expertise in information retrieval, and strong programming skills, often supported by a relevant degree. Familiarity with search platforms like Elasticsearch or Solr, experience with large-scale distributed systems, and knowledge of ranking algorithms are typically required. Analytical thinking, problem-solving abilities, and effective communication distinguish top performers in this role. These skills are crucial for building efficient, relevant search experiences that meet both user and business needs.

How does a Search Engineer typically collaborate with other teams to improve search functionality?

Search Engineers often work closely with product managers, data scientists, and UX designers to understand user needs and analyze search performance. They collaborate with data engineering teams to ensure high-quality and well-structured data feeds, and frequently participate in cross-functional meetings to align on feature priorities and technical requirements. Effective communication skills are essential, as Search Engineers must translate complex technical concepts into actionable insights for non-technical stakeholders, ensuring that improvements enhance both search accuracy and overall user experience.

What are Search Engineers?

Search Engineers are specialized software engineers who design, build, and improve search systems that help users find relevant information quickly and efficiently. Their work often involves developing algorithms for indexing, querying, and ranking large volumes of data, as well as optimizing search accuracy and speed. Search Engineers may also work with natural language processing, machine learning, and relevance tuning to enhance the user search experience on websites, apps, or internal databases.

What is the difference between Search Engineer vs Data Scientist?

AspectSearch EngineerData Scientist
Required CredentialsBachelor's in CS, EE, or related; experience in search algorithmsBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentTech companies, search engine teams, e-commerce platformsResearch labs, tech firms, finance, healthcare
Employer & Industry UsagePrimarily in search technology, e-commerce, and online servicesAcross industries like tech, finance, healthcare, and research

Search Engineers focus on developing and optimizing search algorithms and systems, while Data Scientists analyze data to extract insights and inform decisions. Both roles require strong technical skills, but Search Engineers are more specialized in search technology development, whereas Data Scientists work broadly with data analysis and modeling.

More about Search Engineer jobs
What are popular job titles related to Search Engineer jobs in Raleigh, NC? For Search Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Search Engineer jobs in Raleigh, NC look for? The top searched job categories for Search Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Search Engineer jobs? Cities near Raleigh, NC with the most Search Engineer job openings:
Search Engineer jobs near you
Infographic showing various Search Engineer job openings in Raleigh, NC as of May 2026, with employment types broken down into 68% Full Time, 15% Part Time, and 17% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $143,544 per year, or $69 per hour.
Senior Machine Learning Engineer III ***Raleigh, NC***

Senior Machine Learning Engineer III ***Raleigh, NC***

RELX

Raleigh, NC • Hybrid

$118.30K - $219.80K/yr

Full-time

Posted 7 days ago

Job description

Are you looking to develop your Machine Learning Engineer career?

Do you enjoy coaching others to achieve high standards?

This is a full-time position based in Raleigh, NC.

(Hybrid - 3 days in office)

About the Role

We are seeking a Consultant-level Machine Learning Engineer to lead the implementation and scaling of AI systems for legal products. This role focuses on how to build and scale-owning system architecture, infrastructure, and productionization of ML/LLM solutions.

You will partner with Data Scientists to turn validated models and prototypes into reliable, high-performance, customer-facing systems.

Key Responsibilities

  • Architect and implement scalable ML/LLM systems in production.
  • Build and deploy LLM applications, including RAG pipelines and agentic systems.
  • Implement hybrid search systems (semantic + lexical) using embeddings and search platforms.
  • Develop and maintain APIs, microservices, and model serving infrastructure.
  • Build data pipelines and streaming systems for large-scale data processing.
  • Define and develop reusable frameworks, libraries, and infrastructure for AI/ML across teams.
  • Optimize systems for latency, scalability, reliability, and cost efficiency.
  • Establish best practices for deployment, monitoring, observability, and CI/CD.
  • Collaborate with Data Scientists to productionize models and integrate into products.
  • Provide technical leadership in system design and engineering standards.

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Strong experience implementing and scaling production ML/LLM systems.
  • Deep experience with LLM application development, including RAG and prompt orchestration.
  • Strong experience designing and implementing agentic systems using agent frameworks (e.g., LangChain, LangGraph, AutoGen, Google ADK), including orchestration of multi-step workflows in production environments.
  • Strong experience with hybrid search (semantic + lexical), embeddings, and search platforms (e.g., Solr, OpenSearch).
  • Expertise in distributed systems and cloud-native development, including AWS (S3, DynamoDB).
  • Experience with streaming and messaging systems (e.g., Kafka, SQS) and caching (e.g., Redis).
  • Proficiency in Python and experience with systems languages (e.g., Rust, Go, Scala).
  • Experience building scalable APIs (REST/GraphQL).
  • Experience with containerization and orchestration (Docker, Kubernetes).
  • Strong software engineering fundamentals (system design, testing, CI/CD).

Preferred Qualifications

  • Experience with LLM platforms (e.g., ChatGPT/OpenAI, Claude, Gemini, LangChain, Google ADK).
  • Experience with DevOps and infrastructure as code (e.g., Terraform, CloudFormation, Jenkins).
  • Experience with big data technologies (e.g., Spark, Hadoop).
  • Familiarity with graph databases (e.g., Dgraph, Neo4j, Neptune).
  • Experience building high-availability, low-latency systems.
  • Experience in legal or regulatory domains.

Key Competencies

  • Strong system architecture and scalability mindset.
  • Ownership of implementation, performance, and reliability.
  • Ability to translate data science solutions into production systems.
  • Cross-functional collaboration with DS, product, and platform teams.
  • Excellent debugging, optimization, and operational skills.
  • Clear communication of technical designs and trade-offs.

#AIFluent

U.S. National Base Pay Range: $118,300 - $219,800. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus.

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