Job description

Job Description We are seeking an experienced GenAI Application Developer to join our team. The successful candidate will be responsible for designing, developing, and deploying GenAI-powered applications that meet our business needs. The ideal candidate will have a background in software development, machine learning, and AI technologies. Key Responsibilities: • Design, develop, and deploy GenAI-powered applications using machine learning frameworks and tools • Collaborate with cross-functional teams to identify business problems and develop AI solutions • Work with data scientists to integrate GenAI models into applications • Develop and maintain large-scale AI systems, ensuring scalability, reliability, and performance • Ensure the security and compliance of GenAI-powered applications • Stay up-to-date with emerging AI technologies and trends The ideal candidate will reside in or near Manchester, NH, and work a hybrid schedule. However, remote work may be considered for qualified candidates located anywhere within the 50 United States. Required Education, Experience, & Skills • Bachelor’s Degree in an engineering field or technical discipline and 4-6+ years of experience • Greenbelt • Experience in software development, with a focus on machine learning and GenAI • Proficiency in programming languages such as Python, Java, or C++ • Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn • Strong understanding of software development principles, including version control and testing • Experience using low code platforms such has Stack AI Preferred Education, Experience, & Skills • Technical Master's degree in Engineering, Computer Science, Software Engineering, or related field • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud, Salesforce, or IBM Cloud) • Experience with DevOps tools, such as Docker, Kubernetes, or Jenkins • Experience using low code platforms such has Stack AI Pay Information Full-Time Salary Range: $118095 - $200762 Please note: This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience. Employee Benefits: At BAE Systems, we support our employees in all aspects of their life, including their health and financial well-being. Regular employees scheduled to work 20+ hours per week are offered: health, dental, and vision insurance; health savings accounts; a 401(k) savings plan; disability coverage; and life and accident insurance. We also have an employee assistance program, a legal plan, and other perks including discounts on things like home, auto, and pet insurance. Our leave programs include paid time off, paid holidays, as well as other types of leave, including paid parental, military, bereavement, and any applicable federal and state sick leave. Employees may participate in the company recognition program to receive monetary or non-monetary recognition awards. Other incentives may be available based on position level and/or job specifics. About BAE Systems, Inc. BAE Systems, Inc. is the U.S. subsidiary of BAE Systems plc, an international defense, aerospace and security company which delivers a full range of products and services for air, land and naval forces, as well as advanced electronics, security, information technology solutions and customer support services. Improving the future and protecting lives is an ambitious mission, but it’s what we do at BAE Systems. Working here means using your passion and ingenuity where it counts – defending national security with breakthrough technology, superior products, and intelligence solutions. As you develop the latest technology and defend national security, you will continually hone your skills on a team—making a big impact on a global scale. At BAE Systems, you’ll find a rewarding career that truly makes a difference. Electronic Systems (ES) is the global innovator behind BAE Systems’ game-changing defense and commercial electronics. Exploiting every electron, we push the limits of what is possible, giving our customers the edge and our employees opportunities to change the world. Our products and capabilities can be found everywhere – from the depths of the ocean to the far reaches of space. At our core are more than 14,000 highly talented Electronic Systems employees with the brightest minds in the industry, we make an impact – for our customers and the communities we serve. This position will be posted for at least 5 calendar days. The posting will remain active until the position is filled, or a qualified pool of candidates is identified.

Requirements

Must-haves

Design, develop, and deploy GenAI-powered applications using machine learning frameworks and tools
Collaborate with cross-functional teams to identify business problems and develop AI solutions
Work with data scientists to integrate GenAI models into applications
Develop and maintain large-scale AI systems, ensuring scalability, reliability, and performance
Ensure the security and compliance of GenAI-powered applications
Stay up-to-date with emerging AI technologies and trends
The ideal candidate will reside in or near Manchester, NH, and work a hybrid schedule. However, remote work may be considered for qualified candidates located anywhere within the 50 United States.
Required Education, Experience, & Skills • Bachelor’s Degree in an engineering field or technical discipline and 4-6+ years of experience
Experience in software development, with a focus on machine learning and GenAI
Proficiency in programming languages such as Python, Java, or C++
Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
Strong understanding of software development principles, including version control and testing
Experience using low code platforms such has Stack AI
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud, Salesforce, or IBM Cloud)
Experience with DevOps tools, such as Docker, Kubernetes, or Jenkins
Experience using low code platforms such has Stack AI
Pay Information
This position will be posted for at least 5 calendar days. The posting will remain active until the position is filled, or a qualified pool of candidates is identified.

Nice-to-haves

Preferred Education, Experience, & Skills • Technical Master's degree in Engineering, Computer Science, Software Engineering, or related field

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningaipythonjavaawsazuredockerkubernetes

Platform: phenom
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off