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Enterprise Search Software Engineer Jobs (NOW HIRING)

PB consulting

Seeking a Senior Coveo Developer with strong experience in the Coveo Platform and Coveo Headless to develop, integrate, and optimize enterprise search solutions. The role focuses on search relevance ...

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How much do enterprise search software engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for enterprise search software engineer in the United States is $156,904.00, according to ZipRecruiter salary data. Most workers in this role earn between $150,000.00 and $170,000.00 per year, depending on experience, location, and employer.

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Infographic showing various Enterprise Search Software Engineer job openings in the United States as of September 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 80% In-person, 4% Hybrid, and 16% Remote job distribution, with an average salary of $156,904 per year, or $75.4 per hour.

Full Stack Software Engineer, AI

Chantilly, VA • On-site

Fantom Corporation
11 - 50 employees
Learn more about Fantom Corporationexternal

Full-time

Re-posted 13 days ago

Job description

Fantom Corporation is a mission-focused organization supporting critical programs across the defense and intelligence community. We partner with our customers to deliver high-impact technical solutions while fostering a culture built on trust, expertise, and long-term career growth.

We are seeking a Full Stack Software Engineer to develop next-generation search and AI-powered applications supporting mission-critical operations. This role focuses on designing scalable web applications, developing intelligent search capabilities, integrating Large Language Models (LLMs), and building Retrieval-Augmented Generation (RAG) solutions that enhance data discovery and user experience.

The ideal candidate has experience building modern React and Node.js applications, designing scalable search platforms with Elasticsearch, and integrating AI/LLM technologies into enterprise solutions while working within Agile and DevSecOps environments.

Responsibilities
  • Participate in Lean Agile ceremonies, including sprint planning, backlog grooming, daily standups, and retrospectives
  • Collaborate with product owners, engineers, operations, cybersecurity, and testing teams to deliver scalable software solutions
  • Design, develop, test, and maintain full-stack enterprise applications
  • Build modern Single Page Applications (SPAs) using React, HTML5, CSS3, and JavaScript
  • Develop RESTful APIs and backend services using Node.js, Express, or comparable frameworks
  • Design, implement, and optimize enterprise search solutions using Elasticsearch
  • Develop AI-powered search capabilities, including Retrieval-Augmented Generation (RAG) pipelines and semantic search solutions
  • Integrate Large Language Models (LLMs) into enterprise applications to enhance search, knowledge retrieval, and user workflows
  • Design and implement data ingestion pipelines supporting search indexing, document chunking, embeddings, and vector search
  • Develop detailed technical designs, interface specifications, and supporting documentation
  • Collaborate with stakeholders to translate business and mission requirements into technical solutions
  • Perform unit testing, integration testing, and code reviews to ensure software quality and reliability
  • Track vendor software releases, upgrades, and patch management activities
  • Utilize DevOps tools and CI/CD pipelines to automate software development, testing, and deployment
  • Support cloud-native application development within AWS, Azure, or similar cloud environments
Required Qualifications
  • Must be fully cleared with a recent polygraph
  • Experience working in Lean Agile software development environments
  • Experience developing enterprise software applications throughout the full software development lifecycle
  • Experience building AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), semantic search, or AI-assisted retrieval systems
  • Experience translating customer requirements into scalable technical designs
  • Experience designing system interfaces and application architectures
  • Experience developing modern Single Page Applications (SPAs) using React, HTML5, CSS3, and JavaScript
  • Experience developing RESTful APIs using Node.js, Express, or similar backend frameworks
  • Experience troubleshooting web technologies, web services, SSL, and internet-based application protocols
  • Experience with automated testing frameworks such as Jest or Karma
  • Experience using DevOps tools including Git, Jenkins, Nexus, or similar CI/CD platforms
  • Experience designing, deploying, and tuning Elasticsearch environments, including indexing strategies, querying, relevance optimization, and scalability
  • Experience designing or implementing data pipelines supporting search, document ingestion, embeddings, vector search, and RAG workflows
  • Strong analytical, troubleshooting, and problem-solving skills
  • Excellent written and verbal communication skills
Desired Qualifications
  • Recent experience supporting Agile development within Intelligence Community or other secure government environments
  • Experience evaluating, selecting, and integrating commercial or open-source Large Language Models into enterprise applications
  • Experience with vector databases, hybrid search architectures, semantic search, and relevance optimization
  • Experience leading technical teams or mentoring engineers on AI, search technologies, and modern software engineering best practices
  • Experience with cloud-native architectures and enterprise AI platforms
  • Experience developing scalable knowledge management or enterprise search platforms
  • #CJ
Fantom Corp is a Software Development, Agile Cloud, Cyber Security (Risk Management, Assessments & Authorization (A&A)), Data, AI Platform (Computer Vision Models), Podcasting Media Services, and IT Services provider. Established in 2015, Fantom Corp serves Federal customers with top-notch Cybersecurity Architects, Data Scientists/Analysts, Software Engineers/Developers, DevSecOps Engineers, Project Managers, Identity, Credential Access Management (ICAM) services , and Cloud-certified practitioners. We excel in delivering emerging technologies such as Artificial Intelligence (AI) and Machine Learning (ML) with a focus on identifying trends, object detection, and classification of structured and unstructured data. Fantom Corp possesses mastery in all aspects of digital audio production. We lead in the ideation and creation of efforts for clients who want to harness the power of podcasting. We guide them in selecting the right show format for their needs and goals. As a Small Business, we possess the innovation, speed and flexibility to meet your requirements. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.