AI / ML Engineer
Summary
Design, build, and deploy production AI/ML systems using Python, LLMs, RAG, and prompt engineering, including multi-agent applications orchestrated with LangChain and LangGraph. Work spans cloud AI platforms (AWS GovCloud, Vertex AI, Azure, AWS Bedrock), data pipelines/ETL, and REST API/SDK integrations in secure, CI/CD-driven environments.
Role Overview
We are seeking an AI / ML Engineer to design, develop, and deploy machine learning models that solve complex business challenges. This role focuses on building predictive systems, analyzing large datasets, and integrating AI solutions into production environments to drive automation and innovation.
Key Responsibilities
Design, implement, and optimize AI/ML models using LLMs, RAG, and prompt engineering for production-grade applications
Develop and orchestrate multi-agent systems using frameworks such as LangChain and LangGraph
Integrate and deploy solutions in secure cloud environments including Amazon Web Services GovCloud, Google Cloud Platform, Microsoft Azure, Vertex AI, and AWS Bedrock
Build and maintain data pipelines, ETL processes, metadata catalogs, and ontologies to support high-quality AI data workflows
Develop and maintain REST APIs and SDK integrations for seamless system and model interaction
Collaborate with product, security, and engineering teams to deliver solutions using secure coding and DevOps best practices (CI/CD)
Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders
Required Qualifications
Strong experience developing AI/ML solutions using Python, including integration with REST APIs and SDKs
Hands-on experience designing and implementing solutions using LLMs, RAG systems, and prompt engineering in production environments
Experience with multi-agent orchestration and frameworks such as LangChain and LangGraph
Proven experience working with cloud AI platforms including Amazon Web Services GovCloud, Google Cloud Platform, Microsoft Azure, Vertex AI, and AWS Bedrock
Experience building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes
Strong understanding of secure coding practices and modern DevOps methodologies, including CI/CD pipelines
Excellent collaboration, documentation, and communication skills when working with cross-functional teams
Preferred Qualifications
Experience with AI/agentic platforms such as Anthropic (Anthropic for Gov), OpenAI Enterprise, Gemini Enterprise, or xAI (Grok Enterprise)
Knowledge of metadata catalog platforms (MCP) and advanced API development techniques
Experience working in government or highly regulated cloud environments with an understanding of compliance and security standards
Compensation and Benefits
Base Salary: Highly competitive offer (above pay grade)
Performance Bonus: Annual or quarterly incentives tied to individual and company performance
Additional Perks
AI and automation tools and technology