Full Stack Engineer

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

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.

Competitive salary and performance-based bonuses.

Health, dental, and vision insurance.

Retirement savings plan with company match.

Opportunities for professional development and career growth.

Flexible work hours and remote work options.