What are the responsibilities and job description for the Developer-Full Stack Specialist position at Technology Ventures?
Mclean, VA
Contract To Hire
Apr 9, 2026
Developer-Full Stack Specialist -
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.
Benefits:
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.
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.
Benefits:
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.