AI/ML Software Engineer (LLM, RAG & Automation) - SWENGG 26-04739

Job Title: AI/ML Software Engineer (LLM, RAG & Automation) Location: Annapolis, MD (Remote/Occasional Onsite Support as Needed) Duration: Long-Term Contract (5 Years) Job Summary We are seeking an AI/ML Software Engineer to design and build intelligent software solutions that leverage machine learning, large language models (LLMs), and automation techniques. This role focuses on developing scalable systems for chatbot applications, knowledge retrieval, document processing, and workflow automation, while improving both internal operations and user-facing services. Key Responsibilities 1. System Design & Collaboration

• Design and develop AI/ML-driven applications for automation, analytics, and user support
• Collaborate with cross-functional teams to define system architecture, workflows, and agent-based solutions
• Evaluate and select appropriate approaches (LLM vs non-LLM) based on use cases
• Integrate AI/ML solutions into existing enterprise systems and workflows

2. Testing, Evaluation & Optimization

• Build and maintain testing and evaluation pipelines for AI systems
• Develop unit and integration tests for AI-enabled workflows
• Use synthetic data for benchmarking and performance improvement
• Optimize models and systems for accuracy, latency, and cost efficiency

3. Deployment & Operations

• Deploy AI/ML applications in hybrid cloud environments
• Work with containerized environments (Docker) for deployment and scaling
• Optimize solutions for limited compute environments (minimal GPU availability)

4. General Responsibilities

• Deliver production-grade AI/ML systems aligned with business requirements
• Document system architecture, workflows, and technical decisions
• Stay current with advancements in AI/ML, LLMs, and related technologies

Core Solution Areas

• Chatbot development (internal & external)
• Retrieval-Augmented Generation (RAG) and knowledge search systems
• Robotic Process Automation (RPA)
• Translation and transcription systems
• PII detection and redaction solutions
• Document analysis and generation
• Deep research systems using graph-based retrieval (GraphRAG)

Required Qualifications

Education

• Bachelor’s degree in Computer Science, Engineering, Data Science, Mathematics, or related field

Experience

• 3+ years of experience in AI/ML, Data Science, or Applied AI development
• 3+ years of experience in software engineering or backend development

Technical Skills AI/ML & Data

• Experience with LLMs (API-based and/or local deployment)
• RAG systems: embeddings, vector search, re-ranking, graph-based retrieval
• Fine-tuning language models or embedding models
• Experience with graph databases (e.g., Neo4j)
• Strong understanding of NLP (classical + LLM-based techniques)

Programming & Development

• Strong proficiency in Python
• Experience building APIs, backend services, and data pipelines
• Knowledge of SQL and relational databases (e.g., PostgreSQL)

Systems & Tools

• Git and version control systems
• Docker and containerization
• Service-oriented architecture and distributed systems

AI Engineering Practices

• Validating AI outputs and mitigating hallucinations
• Designing multi-agent or task-based AI systems
• Building scalable, production-ready AI pipelines

Additional Technical Knowledge

• Hybrid cloud environments and distributed computing
• Asynchronous processing, threading, and queue systems
• Frontend frameworks (e.g., React) for chatbot interfaces
• Microsoft Teams Toolkit (preferred)
• Experience with performance-oriented languages (e.g., Rust) is a plus

Key Competencies

• Strong problem-solving and analytical skills
• Ability to work with complex and evolving datasets
• Experience balancing accuracy, performance, and cost in AI systems
• Effective collaboration in cross-functional and constrained environments

Work Environment

• Remote-first with occasional onsite collaboration
• Long-term, innovation-driven project environment
• Opportunity to build cutting-edge AI/ML and LLM-based systems at scale

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