Senior AI Engineer Specialist
McLean,VA
Long Term Contract
Face to Face Interview
Position Summary:
We are seeking a highly experienced hands-on Full Stack Engineer to design and development of cutting-edge AI Agents, Agentic Workflows, and Gen AI Applications that solve complex business problems. This role requires advanced proficiency in Angular for front-end development and Python-based microservices for the orchestration layer deployed to AWS EKS (Kubernetes). You will serve as a hands-on engineer, working alongside Gen AI scientists, UX designers, product managers, and data engineers to shape and implement enterprise-grade Gen AI solutions.
Key Responsibilities:
Architect and implement scalable Full Stack AI Agents, Agentic Workflows, and Gen AI applications to address diverse and complex business use cases.
Develop, optimize, and maintain the front-end using Angular, ensuring a seamless user experience.
Design and deploy Python-based microservices for robust orchestration and integration with AI models.
Collaborate with Gen AI scientists to integrate machine learning models such as LLMs, RAG, and multi-modal AI into the application architecture.
Implement solutions leveraging modern design patterns and best practices for full stack development.
Build and maintain RESTful APIs to enable seamless communication between the front end and back end.
Collaborate with cross-functional teams of UI/UX designers, data engineers, and Gen AI scientists to build full-stack Gen AI experiences.
Integrate Gen AI solutions with enterprise platforms via API-based methods and standardized patterns.
Establish and enforce validation procedures with Evaluation Frameworks, bias mitigation, safety protocols, and guardrails for production-ready deployment.
Required Qualifications:
Bachelor''''s or Master''''s degree in Computer Science, Computer Engineering, or a related field.
10+ years of experience in full stack development, with 3+ years in applied Gen AI or LLM-based solutions.
Deep expertise in Angular, Python, and microservices architecture.
Proven experience with cloud-native development, particularly AWS services.
Strong programming skills and familiarity with AI/ML libraries and frameworks.
Demonstrated ability to work in cross-functional agile teams.
Please provide Github link for candidate''''s code repository. Also, please vet the candidate thoroughly for technical skills.
Preferred Qualifications:
Experience in AI-powered application development.
Familiarity with CI/CD practices for DevOps and scalable deployment.
Hands-on experience with enterprise AI governance and ethical deployment frameworks.
Contributions to open-source projects or publications in software development domains.
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