Full Stack Developer AI Enabled Applications

Leidos•Baltimore, MD

1d•Onsite

About The Position

Leidos is seeking a Full Stack Developer AI Enabled Applications to be part of the mission solution and help lead SSA’s Digital Modernization Strategy. Join one of our high performing teams responsible for building the next-generation enterprise APIs and modern responsive user interfaces, supporting the Social Security Administration (SSA) and their mission to meet the changing needs of the public, positively impacting at least 65 million American lives per month. We are a team of forward-looking professionals in need of a strong candidate with these key required skills. This role will play a critical role in implementing a proof of concept in the production environment and will need to be a hands-on developer. The ideal candidate is passionate about understanding and experimenting with AI technologies that benefit society while minimizing risks. If this sounds like a mission you want to be a part of, keep reading! TEAM CULTURE Your passion and values might be a good fit for our teams if you answer “yes” to the following questions: Are you looking for a company that puts employees first, with a focus on career, flexibility, and well-being? Do you enjoy collaborating with colleagues and teammates and believe that the best ideas are fostered in an inclusive environment? Are you searching for a team with a strong sense of ownership, urgency, and drive for daily mission success? Are you comfortable with proactive outward communication and technical leadership? Do you enjoy being a catalyst, solving complex problems, and providing innovative solutions? Do you have the flexibility, creativity, and resilience to pivot the mission for success? Do you have the courage to make tough ethical decisions with pride, transparency, and respect? MENTORSHIP & CAREER GROWTH Our teams are dedicated to supporting new team members in an environment that celebrates knowledge sharing and mentorship. Experienced team members will be assigned to new hires for one-on-one mentoring, collaborative reviews, and coaching on customer engagement to help each new hire successfully onboard and demonstrate their skills. Projects and tasks are assigned in a way that leverages your strengths and will help you further develop your skillset. DAY TO DAY RESPONSIBILITIES Every position we take is more rewarding when you know the why behind it. Know your work makes a difference to support those who need it most. If your passion is enabling life changing service to those around, you this is the place for you. Find you passion in a team environment where all members are valued regardless of contractor or employee status. Find your “Why” with us and take your place in our Leidos Family!! Collaborate with stakeholders to understand and refine customer-provided use cases for Generative AI solutions. Design, develop, and implement end-to-end Proofs of Concept (PoCs) using Azure AI and AWS Bedrock platforms. Build and maintain scalable, secure, and robust web applications, integrating Generative AI models and APIs. Develop both front-end and back-end components, ensuring seamless user experience and efficient data processing. Rapidly prototype and iterate on application features based on feedback and evolving requirements. Integrate cloud services and manage deployment pipelines for PoC applications. Document technical designs, development processes, and application architecture for knowledge sharing and future reference. Collaborate with cross-functional teams, including data scientists, UI/UX designers, and project managers, to deliver high-quality solutions. Conduct code reviews, testing, and debugging to ensure application reliability and performance. Stay current with emerging technologies and best practices in Generative AI and full stack development. At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers’ success. We empower our teams and contribute to our communities. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business. Every position we take is more rewarding when you know the why behind it. Know your work makes a difference to support those who need it most. If your passion is enabling life changing service to those around, you this is the place for you. Find your passion in a team environment where all members are valued regardless of contractor or employee status. We are excited for you to take your place in our Leidos Family. Are you an US citizen or permanent US resident, and think you might fit? We recommend you apply and start the conversation today! Join us in supporting our SSA contracts in Woodlawn, Maryland. AppMod If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.

Requirements

5+ years of experience in full stack development, including both front-end and back-end technologies.
3+ years of experience in Python development. You should be comfortable writing clean, efficient code.
Hands-on experience developing applications using cloud platforms such as Microsoft Azure and/or Amazon Web Services.
Familiarity with Generative AI concepts and experience integrating AI/ML models or APIs into applications.
Proficiency in programming languages such as Python, JavaScript (Node.js, React, or Angular), or similar technologies.
Experience with RESTful APIs, microservices architecture, and containerization (e.g., OpenShift or Docker).
Strong understanding of software development best practices, version control (e.g., Bitbucket), and agile methodologies.
Excellent problem-solving skills and ability to work collaboratively in a team environment.
Clear and effective communication skills are necessary for collaborating with team members, presenting findings, and explaining complex AI concepts to non-technical stakeholders.
Selected candidate must be able to obtain and maintain a public trust clearance
Selected candidate must be willing to work on-site in Woodlawn, MD 5 days a week
Master's and 6+ years of experience, Bachelor's and 8+ years of experience or equivalent experience in lieu of a degree
Proficiency in utilizing Microsoft Azure services, with a focus on AI and ML services such as Azure OpenAI, Azure AI Search, and Azure Vision.
Understanding of fundamental AI and RAG concepts for developing generative AI applications.
Commitment to ethical AI development, ensuring adherence to principles like fairness, transparency, accountability, and privacy in AI applications.
Proficient in Python and familiar with current best practices and recent language features.
Experience with Python web frameworks for building APIs and backend services.
Strong experience in implementing and consuming RESTful web services.
Solid experience with software development best practices, including unit testing, continuous integration with tools like Jenkins, and version control with Bitbucket.
Experience with containerization and orchestration tools like Docker and OpenShift will be beneficial for deployment and scaling applications.
Familiarity with Azure DevOps for automating builds, testing, and deployment processes within Azure.
Understanding of compliance and security best practices within Azure, especially concerning handling sensitive data such as personal disability information.

Nice To Haves

Familiarity with the Azure OpenAI API and its capabilities for natural language processing (NLP) and generative modeling is highly desirable.
Mastery of Azure AI services beyond the basics, including Azure Machine Learning, Azure Cognitive Services, Azure Databricks, and Azure Synapse Analytics, would make you a valuable asset. This includes understanding how to leverage these services in combination with Azure OpenAI frameworks for enhanced functionality and scalability.
Ability to preprocess, clean, and manipulate data for RAG ingestion.
Hands-on experience deploying generative AI models into production environments on Azure infrastructure is highly desirable.
Understanding deployment considerations such as containerization, orchestration, monitoring, and security ensures smooth integration of AI solutions into real-world applications.
Proficiency in C# and Java.
Delivery (CI/CD) best practices and use of DevOps to accelerate quality releases to Production.
Familiarity with data science tools, libraries, and frameworks (e.g., Jupyter Labs/Notebooks, pandas, PyTorch) is a strong plus.
Awareness of issues and trends in Generative AI and Pythonic use of these is desirable.

Responsibilities

Collaborate with stakeholders to understand and refine customer-provided use cases for Generative AI solutions.
Design, develop, and implement end-to-end Proofs of Concept (PoCs) using Azure AI and AWS Bedrock platforms.
Build and maintain scalable, secure, and robust web applications, integrating Generative AI models and APIs.
Develop both front-end and back-end components, ensuring seamless user experience and efficient data processing.
Rapidly prototype and iterate on application features based on feedback and evolving requirements.
Integrate cloud services and manage deployment pipelines for PoC applications.
Document technical designs, development processes, and application architecture for knowledge sharing and future reference.
Collaborate with cross-functional teams, including data scientists, UI/UX designers, and project managers, to deliver high-quality solutions.
Conduct code reviews, testing, and debugging to ensure application reliability and performance.
Stay current with emerging technologies and best practices in Generative AI and full stack development.