Software Developer, Applications/AI Automation Engineer

Role overview

Engineering responsibilities

• Build workflow automations, lightweight applications, prototypes, integrations, and production-quality components.
• Choose an appropriate approved approach across no-code, low-code, and full-code options.
• Develop and troubleshoot APIs, scripts, services, prompts, agents, automation logic, and application components.
• Translate user and workflow needs into designs, implementation tasks, acceptance criteria, and working software.
• Implement error handling, logging, secrets handling, configuration management, tests, and observability.
• Evaluate and integrate AI/LLM capabilities where justified, including retrieval, prompt orchestration, structured outputs, tool/API calls, evaluation, and guardrails.
• Use technical spikes and feasibility tests to assess APIs, data access, model behavior, platform limits, performance, and security.
• Improve reliability, latency, cost, maintainability, and user-facing behavior using test and operational feedback.

Collaboration and delivery

• Support feasibility testing, prototype evaluation, pilot readiness, implementation, and handoff.
• Apply secure coding, version control, testing, code review, documentation, and configuration-management practices.
• Partner with HCD/UX, data, architecture, security, platform, QA, and business stakeholders.
• Package reusable code, prompts, configurations, integration patterns, and technical guidance.
• Troubleshoot across application, data, integration, automation, and platform boundaries; participate in peer review, refactoring, and knowledge transfer.

Qualifications

• Bachelor's degree in computer science, software engineering, information systems, engineering, or related field; equivalent experience may be considered.
• 7+ years in application development, automation engineering, systems integration, prototyping, or related software delivery.
• Strong coding in Python, JavaScript/TypeScript, C#, Java, or comparable languages, with hands-on API and integration experience.
• Experience selecting no-code, low-code, and full-code approaches based on complexity, security, maintainability, and enterprise constraints.
• Ability to satisfy VA personnel vetting and applicable security, privacy, records, and data-handling requirements.
• Production software delivery experience through a modern SDLC, including code review, branching, testing, release discipline, documentation, and defect resolution.
• Strong knowledge of API design, authentication/authorization, data interchange, integration patterns, secure coding, and troubleshooting.
• Experience estimating engineering work, decomposing requirements, and communicating technical risks and tradeoffs.

Desired qualifications

• Desired: 9+ years delivering enterprise applications, automation, integrations, or AI-enabled solutions in federal or regulated environments.
• Desired: Experience with generative AI/LLMs, agentic workflows, Azure AI, Power Platform, Azure Functions, Logic Apps, or comparable tooling.
• Desired: Experience with CI/CD, containers, infrastructure integration, observability, and production support.
• Preferred: Cloud AI, security, DevSecOps, or advanced developer certifications; hands-on generative-AI application patterns, RAG, agent/tool workflows, prompt evaluation, or model-service integration.
• Helpful: Microsoft 365/Power Platform integration, containerized services, reusable libraries, internal tools, open-source work, prototypes, or documented engineering patterns.

Compensation

• Target salary range is $140,000 to $170,000 per year; individual compensation depends on factors including location, qualifications, skills, and contract requirements.

About LMI