Belay Technologies has been voted Baltimore Business Journal's (BBJ) Best Places to Work 2019, runner up in 2020 and a finalist in 2021! Belay Technologies is seeking a Software Engineer to join our intel team. Join us in building the next generation of AI infrastructure that will power innovation across the customer organization. We're seeking a software engineer to support our AI infrastructure team. In this role, you'll help build and maintain the foundation for customer AI capabilities, while supporting a broader ecosystem of AI-enabled applications. Your focus will be developing and maintaining high-quality tools and applications that let the customer base use AI seamlessly and efficiently. Requirements shift quickly as mission needs adapt and new technology develops, so you'll need to continue to grow and hone your skills and learn to turn loosely defined problems into solutions.
Responsibilities:
Develop high-quality AI tools and applications for the workforce to use
Ensure high availability, reliability, performance, and security of AI tools
Modify FOSS (Free and Open-Source Software) to accommodate the customer’s use cases
Regularly engage with customers, conducting requirements elicitation and developing solutions to address their needs
Maintain existing customer-facing infrastructure and applications, ensuring reliable services
Skills Requirements: Familiarity with UI/UX principles
Knowledge of and experience with using LLMs as a part of a code solution workflow
Ability to learn new technologies quickly
Strong communication skills and willingness to ask questions
Proficiency with Python or another Object-Oriented Programming language
Candidates should have the following qualifications:
TS/SCI Clearance with polygraph
3 yrs., B.S. in a technical discipline or 4 additional yrs. in place of B.S.
Candidates are desired to have the following skills:
Experience with LLM UI Open-Source software such as OpenWebUI
Familiarity with AWS or other cloud service providers
Experience with Kubernetes/Helm
Familiarity with Argo CD and/or other CI/CD frameworks
Experience supporting production software using Site Reliability Engineering (SRE) best practices
Experience with Docker and containerization
YOE Requirement: 3 yrs., B.S. in a technical discipline or 4 additional yrs. in place of B.S.
Perks and Benefits:
8 weeks paid leave - 4 weeks of personal leave, 3 Yay! days, take off on your birthday,11 paid holidays and optional leave up to 6 days through Belay's volunteer program
10% matching in 401(k) contributions vested on day one
$5,000 annual training/tuition
Student Loan Repayment Program
100% company-funded HSA
Rich medical coverage (100% coinsurance)
Dental coverage including orthodontia
Up to $420,000 in life insurance, premiums 100% company funded
Amazon Prime, gym reimbursement, monthly lunches, games and prizes
Pet adoption program, generous referral bonus program, fun events, and more!
At Belay, we are committed to creating an environment where you can thrive both professionally and personally. We believe in transparency and fairness in compensation. Several factors influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, education, specific skills and competencies and certifications. Belay offers a competitive total compensation package that includes benefits and perks, a flexible work-life balance, and career development.
Salary Range: $70,000 to $190,000
Belay Technologies is a certified Service-Disabled Veteran-Owned Small Business located in Columbia, Maryland (Baltimore/Washington area). Belay Technologies specializes in systems automation and full stack development. Belay Technologies provides leading technology and engineering solutions to the DoD, as well as state-of-the-art commercial products. We hire software engineers, web designers, test engineers, systems engineers, systems administrators, database engineers and other tech services. We are an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.