Senior Software Engineer

GovServicesHubWest Mclean, VA
2dOnsite

About The Position

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.

Requirements

  • 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.

Nice To Haves

  • 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.

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.
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