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We are hiring a Senior Full Stack Gen AI Engineer! Supporting: Large Financial Services Client. Location: McLean, VA (Onsite). Assignment Type: Contract-to-Hire. Duration: 6 Months. Role Overview: This is a hands-on, high-impact engineering role for a senior Full Stack Engineer who thrives at the intersection of modern UI, scalable microservices, and applied Gen AI. You'll be designing and building AI Agents, Agentic Workflows, and Generative AI applications that solve complex, real-world business problems at enterprise scale. The ideal candidate is someone who enjoys owning solutions end to end—from Angular front-end experiences to Python-based orchestration services deployed on AWS Kubernetes, while collaborating closely with Gen AI scientists, UX designers, product managers, and data engineers.
Job Responsibility:
Architect, design, and implement scalable Full Stack Gen AI applications, including AI Agents and Agentic Workflows
Build and maintain performant, user-friendly Angular front ends
Design and develop Python microservices that orchestrate AI workflows and model integrations
Deploy and operate services on AWS (EKS/Kubernetes) using cloud-native practices
Integrate ML models such as LLMs, RAG pipelines, and multimodal AI into production systems
Develop and maintain RESTful APIs to support seamless application communication
Apply modern design patterns, secure coding standards, and best practices for microservices and UI development
Partner with cross-functional teams (Gen AI scientists, UX, data, product) to deliver end-to-end Gen AI experiences
Implement evaluation frameworks, validation strategies, bias mitigation, safety controls, and guardrails for production-ready AI deployments
Requirements:
Advanced expertise with Angular (UI development)
Strong Python development experience in microservices architectures
Hands-on experience with AWS and Kubernetes (EKS)
10+ years of full stack engineering experience
3+ years of applied AI/ML or Gen AI experience
Proven experience designing and deploying enterprise-grade applications
Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field
Nice to have:
Experience building AI-powered or Gen AI-driven applications
Familiarity with CI/CD pipelines and DevOps practices
Exposure to enterprise AI governance, compliance, and ethical AI frameworks
Open-source contributions or published technical work
Active GitHub profile demonstrating hands-on engineering skills
What we offer:
Medical insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
ESPP (employee stock purchase program)
401K program with company match
HSA (Health Savings Account)
SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions
Corporate discount savings program
On-demand training program
Access to certification prep
Library of technical and leadership courses/books/seminars