Senior AI Engineer
Employment Information
Report this job
Job expired or something wrong with this job?
Job Description
Senior AI Engineer developing AI-powered solutions for complex DoD projects at Accelint. Collaborating with agile teams to ensure system security and reliability while enhancing AI capabilities.
Responsibilities:
- Build and deploy custom model context protocol (MCP) connectors for new and existing services
- Design and implement custom agentic workflows using cloud AI platforms
- Develop server-side application logic and APIs that integrate AI capabilities with existing enterprise systems
- Contribute to the development and maintenance of reusable AI component libraries and shared code infrastructure
- Write high-quality code, applying best practices, coding standards, and design patterns for AI systems
- Participate in the entire AI solution lifecycle, including requirement gathering, design, development, testing, and deployment, using an agile, iterative process
- Participate in code reviews and ensure code quality through effective testing strategies and security validation
- Collaborate with infrastructure teams, security teams, developers, designers, testers, project managers, product managers, and project sponsors
- Communicate tasking estimation and progress regularly to a development lead and product owner through appropriate tools
- Ensure seamless integration with backend systems, cloud services, databases and messaging systems
- Team with other developers, fostering a culture of continuous learning and professional growth in AI engineering
Requirements:
- At least 5+ years of professional software engineering experience with a focus on Python and TypeScript/JavaScript
- Proven experience building and deploying production AI systems, custom integrations, and agentic workflows using LLM-based platforms
- Hands-on experience with Model Context Protocol (MCP) architecture or similar plugin/connector frameworks and workflow orchestration tools (n8n, Airflow, LangGraph) for complex AI pipelines
- Demonstrated expertise with containerization technologies (Docker, Kubernetes) and cloud-native deployment patterns for scalable AI systems
- Solid understanding of Amazon Web Services cloud platform including their native AI/ML services, vector databases, graph databases, and observability solutions
- Experience with RESTful API design, GraphQL, and event-driven architectures across multiple LLM providers (OpenAI, Anthropic, Bedrock, Groq)
- Experience with advanced prompt engineering techniques and specialized knowledge of ensemble prompting strategies for effectively combining and synthesizing outputs from multiple LLM models
- Proficient with infrastructure-as-code tools (e.g., terraform)
- Experience with CI/CD pipelines and automated deployment strategies
- Familiarity with security best practices for AI systems, including authentication, authorization, logging, and data encryption
- Strong understanding of microservices architecture and distributed systems
- Proficient with version control systems (e.g., Git) and effective collaborative development workflows
- Must be a US Citizen and eligible to obtain and maintain a US Security Clearance.
Benefits:
- Paid Time Off
- Paid Company Holidays
- Medical, Dental & Vision Insurance
- Optional HSA and FSA
- Base and Voluntary Life Insurance
- Short Term & Long-Term Disability Insurance
- 401k Matching
- Employee Assistance Program
Similar Jobs
Junior AI Developer
Junior AI Developer at BenGen responsible for driving innovation in AI-centric projects. Collaborating with teams to build machine learning models and solve real-world problems.
Senior Product Manager – AI Platform
Senior Product Manager overseeing AI platform development at Cority. Leading cross-functional teams and managing product operations with a focus on AI solutions.
Founding AI Engineer
Founding AI Engineer at Paradox Machines, building AI applications and data infrastructure for a data-driven company. Collaborating with a senior team and solving real-world problems with AI.
AI Engineer Trainee
Apprenticeship opportunity for career switchers to learn software engineering skills. Involves bootcamp programs and hands-on projects with mentorship in a fully remote setup.
AI Engineer II
AI Engineer contributing to AI capabilities for healthcare data systems. Collaborating on projects from concept to deployment with cross-functional teams and ensuring high-quality deliverables.
AI Engineer
Agentic AI Engineer developing advanced AI agents focused on cybersecurity applications for national security. Join a cutting-edge team at Whitespace using machine learning solutions.
Full Stack AI Engineer
Full-Stack AI Engineer building AI agents and products for ANNA's innovative autism care platform. Collaborating with teams to enhance clinical workflows and operational efficiency.
Senior Staff AI Engineer, Architect
AI Architect responsible for design and evolution of AI systems at TELUS Digital. Integrating Generative AI into scalable and production-ready solutions.
AI Engineer
AI Engineer leveraging AI models to improve customer communication and market strategies at Teleport. Analyzing data and creating workflows within the product marketing team.
Senior AI Engineer – Enterprise GenAI, SAP Environment
Senior AI Engineer designing and scaling enterprise-grade AI and Generative AI solutions for PulseRise Technologies. Collaborating with teams to build intelligent agents to streamline core processes.
AI Engineer, Pleno
AI Engineer developing applications for data processing using LLMs at Clicksign. Collaborate remotely in a culture focused on trust and innovation.
Senior AI Engineer
Senior AI Engineer developing innovative AI solutions at Clicksign. Leading technical development of LLM-based solutions for digital interactions.
AI Engineer
Senior AI Engineer role in fintech company aiming to promote financial inclusion using LLMs. Responsible for designing AI agent architectures and system implementation.
Senior AI Engineer – AI-first Development, Automation
Senior AI Engineer in AI-first team designing innovative solutions for automation and development issues. Collaborating on complex challenges while leveraging various AI tools and technologies.
AI Engineer
AI Engineer shaping AI interactions through API understanding and creating documentation tools at ReadMe. Building LLM-driven solutions for enhanced developer experiences.
Advisory AI Architect – FDE Unit
Advisory AI Architect designing scalable AI architectures for customer use cases at Dell Technologies. Leading AI implementation and migrations on Dell infrastructure in a collaborative environment.
Advisory AI Architect – FDE Unit
Advisory AI Architect within Forward Deployment Engineering Team designing and implementing AI solutions for customers. Experience required in enterprise architecture and AI components with a focus on security standards.
AI Engineer, Accelerated Apprenticeship Program
AI Engineer Apprentice at Flatiron School contributing to software projects and growing technical skills. Enroll in Data Science & AI Bootcamp while gaining hands-on industry experience.
GTM AI Architect
GTM AI Architect at Nerdio focuses on leveraging AI and automation in marketing strategies. Collaborating with various teams to enhance overall marketing efforts and organize AI usage effectively.
SAP AI Engineer
AI Engineer developing enterprise-grade AI agents for SAP Managed Services. Building solutions to enhance operational efficiency and automate diagnostics across SAP systems.