Software Engineer (Hybrid) - 28171
Huntington Ingalls Industries, Columbia, MD, United States
Enlighten is a cutting‑edge technology company that is dedicated to developing innovative software solutions for our clients. We are currently seeking a talented and experienced Software Engineer to join our team to help build foundational AI integration frameworks.
Job Description
As a Software Engineer focused on AI Integration, you will be responsible for designing, developing, and implementing the "paved road" for AI at our company. This role is not focused on training foundational AI models from scratch but on taking industry best practices, open‑source capabilities, and large language models (LLMs) to build a secure framework that allows our other software capabilities to seamlessly leverage AI. You will work closely with other talented engineers to create secure, enterprise‑grade AI software solutions, including Model Context Protocol (MCP) servers, reusable AI skills, strict safety guardrails, and other AI framework capabilities that meet the complex needs of our clients.
You will have the opportunity to work with modern tools and technologies at the intersection of complex backend engineering and applied AI, and will be encouraged to stay up‑to‑date with the latest developments in the field. You will be part of a dynamic and collaborative team that is committed to delivering high‑quality, secure software solutions.
Must have strong working knowledge and experience developing Java‑based software capabilities.
Design and develop foundational AI frameworks, including internal APIs, middleware, and routing layers that allow other systems to securely utilize AI capabilities.
Build Model Context Protocol (MCP) servers and a library of reusable "skills" (function calling/tools) that enable AI models to safely interact with our internal databases, microservices, and external APIs.
Implement strict enterprise AI guardrails, ensuring data privacy, sensitive data scrubbing, prompt injection defenses, and output validation to meet stringent security requirements.
Should have an inquisitive nature, responsiveness, and excellent testing skills (including an interest in automated testing pipelines for non‑deterministic AI outputs).
Must also possess strong troubleshooting skills and the ability to work under pressure with multiple deadlines.
Will work in a fast‑paced, small‑business environment with our talented team.
Other duties as assigned.
Minimum Qualifications
Security Clearance – A U.S. Government Security Clearance is not required on the first day, but will be processed for one; U.S. citizenship required. Candidates with a current Secret level clearance are also considered.
2+ years of experience in Software Engineering, modern Java frameworks and libraries (e.g., Spring, Guava) and a bachelor’s degree in a related field; or 0 years of relevant experience with a master’s degree in a related field; or a high school diploma or equivalent and 6 years of relevant experience.
Applied AI Experience: Hands‑on experience or a strong aptitude for integrating commercial LLM APIs (e.g., OpenAI, Anthropic) or open‑source models into backend applications.
Demonstrated understanding of modern applied AI concepts such as prompt engineering, function calling/tool use, and Retrieval‑Augmented Generation (RAG).
Experience in RESTful web services.
Experience in microservices architecture.
Experience in object‑oriented programming (OOP) paradigms.
Experience with the agile software lifecycle.
Experience with configuration management tools (e.g., Git, Nexus, Maven).
Comfortable working on a Linux command line.
Has a proven ability to learn quickly and works well both independently as well as in a team setting.
Problem‑solving skills and ability to review information and compile data appropriately as needed.
Must be able to work in a hybrid environment, spending an average of 1–2 days per week at our Columbia, MD office. Flexibility is essential to adapt to schedule changes as needed.
Preferred Requirements
Familiarity with Java‑based AI integration frameworks (e.g., Spring AI, LangChain4j) or Python equivalents (LangChain, LlamaIndex).
Experience with vector databases, semantic caching, and AI observability tools.
Experience with NiFi, Kafka, AWS infrastructure, and Kubernetes.
Experience in cloud‑based technologies (AWS, Azure).
Experience with SQL databases (e.g., Postgres, MySQL), distributed databases, NoSQL databases.
Scripting experience (particularly Python) is a huge plus.
Prior experience or familiarity with our Big Data Platform is a plus.
Understanding of agile software development methodologies and use of standard software development tool suites (e.g., JIRA, Confluence, Youtrack, GitHub).
DoD 8140 / 8570 IAT Level II compliance certifications may be required in this position as directed by the customer.
Benefits
100 % paid employee premium for health, vision, and dental plans.
10 % 401(k) benefit.
Generous paid time off plus 10 paid holidays.
Education and training allowances.
Hybrid work arrangement with flexibility to work from home.
Anticipated salary range: $90,166.00–$120,000.00. Compensation is based on the role’s location, expectations, and responsibilities. Additional compensation may be discussed during the interview process.
For more information on benefits and perks, please visit our website at www.eitccorp.com.
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Job Description
As a Software Engineer focused on AI Integration, you will be responsible for designing, developing, and implementing the "paved road" for AI at our company. This role is not focused on training foundational AI models from scratch but on taking industry best practices, open‑source capabilities, and large language models (LLMs) to build a secure framework that allows our other software capabilities to seamlessly leverage AI. You will work closely with other talented engineers to create secure, enterprise‑grade AI software solutions, including Model Context Protocol (MCP) servers, reusable AI skills, strict safety guardrails, and other AI framework capabilities that meet the complex needs of our clients.
You will have the opportunity to work with modern tools and technologies at the intersection of complex backend engineering and applied AI, and will be encouraged to stay up‑to‑date with the latest developments in the field. You will be part of a dynamic and collaborative team that is committed to delivering high‑quality, secure software solutions.
Must have strong working knowledge and experience developing Java‑based software capabilities.
Design and develop foundational AI frameworks, including internal APIs, middleware, and routing layers that allow other systems to securely utilize AI capabilities.
Build Model Context Protocol (MCP) servers and a library of reusable "skills" (function calling/tools) that enable AI models to safely interact with our internal databases, microservices, and external APIs.
Implement strict enterprise AI guardrails, ensuring data privacy, sensitive data scrubbing, prompt injection defenses, and output validation to meet stringent security requirements.
Should have an inquisitive nature, responsiveness, and excellent testing skills (including an interest in automated testing pipelines for non‑deterministic AI outputs).
Must also possess strong troubleshooting skills and the ability to work under pressure with multiple deadlines.
Will work in a fast‑paced, small‑business environment with our talented team.
Other duties as assigned.
Minimum Qualifications
Security Clearance – A U.S. Government Security Clearance is not required on the first day, but will be processed for one; U.S. citizenship required. Candidates with a current Secret level clearance are also considered.
2+ years of experience in Software Engineering, modern Java frameworks and libraries (e.g., Spring, Guava) and a bachelor’s degree in a related field; or 0 years of relevant experience with a master’s degree in a related field; or a high school diploma or equivalent and 6 years of relevant experience.
Applied AI Experience: Hands‑on experience or a strong aptitude for integrating commercial LLM APIs (e.g., OpenAI, Anthropic) or open‑source models into backend applications.
Demonstrated understanding of modern applied AI concepts such as prompt engineering, function calling/tool use, and Retrieval‑Augmented Generation (RAG).
Experience in RESTful web services.
Experience in microservices architecture.
Experience in object‑oriented programming (OOP) paradigms.
Experience with the agile software lifecycle.
Experience with configuration management tools (e.g., Git, Nexus, Maven).
Comfortable working on a Linux command line.
Has a proven ability to learn quickly and works well both independently as well as in a team setting.
Problem‑solving skills and ability to review information and compile data appropriately as needed.
Must be able to work in a hybrid environment, spending an average of 1–2 days per week at our Columbia, MD office. Flexibility is essential to adapt to schedule changes as needed.
Preferred Requirements
Familiarity with Java‑based AI integration frameworks (e.g., Spring AI, LangChain4j) or Python equivalents (LangChain, LlamaIndex).
Experience with vector databases, semantic caching, and AI observability tools.
Experience with NiFi, Kafka, AWS infrastructure, and Kubernetes.
Experience in cloud‑based technologies (AWS, Azure).
Experience with SQL databases (e.g., Postgres, MySQL), distributed databases, NoSQL databases.
Scripting experience (particularly Python) is a huge plus.
Prior experience or familiarity with our Big Data Platform is a plus.
Understanding of agile software development methodologies and use of standard software development tool suites (e.g., JIRA, Confluence, Youtrack, GitHub).
DoD 8140 / 8570 IAT Level II compliance certifications may be required in this position as directed by the customer.
Benefits
100 % paid employee premium for health, vision, and dental plans.
10 % 401(k) benefit.
Generous paid time off plus 10 paid holidays.
Education and training allowances.
Hybrid work arrangement with flexibility to work from home.
Anticipated salary range: $90,166.00–$120,000.00. Compensation is based on the role’s location, expectations, and responsibilities. Additional compensation may be discussed during the interview process.
For more information on benefits and perks, please visit our website at www.eitccorp.com.
#J-18808-Ljbffr