Full Stack Software Engineer, AI

Fantom Corporation•Chantilly, VA

About The Position

Fantom Corporation is 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.

Requirements

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

Nice To Haves

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

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