Location:
Mclean, VA – 22102 ( Face to Face Interview)
Must Have Qualifications: Angular,
Python, and microservices architecture.
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.
Requirements
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.