Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent experience.
3+ years of professional software engineering experience with enterprise applications.
Proficiency in modern programming languages like Java, C#, Python, JavaScript, or TypeScript.
1-2 years of hands-on experience with AI-enabled applications and large language model integrations.
Understanding of AI SDLC concepts and responsible AI practices.
Experience with cloud platforms, APIs, databases, and Agile methodologies.
Strong analytical, troubleshooting, communication, and collaboration skills.
Responsibilities
Design, develop, test, deploy, and maintain scalable software applications.
Collaborate with cross-functional teams to translate business requirements into software solutions.
Participate in all phases of the software development lifecycle (SDLC).
Write clean, maintainable, and efficient code that meets requirements.
Conduct peer code reviews and contribute to engineering best practices.
Troubleshoot and resolve application issues to ensure reliability and performance.
Contribute to the development of AI-enabled features and workflows.
Benefits
Generous PTO and 11 paid holidays, plus well-being and volunteer time off.
Up to 16 weeks of fully paid parental leave and a baby stipend.
Multiple medical plan options with mental health and wellness support.
401(k) with company match and vesting after one year.
$400 annual well-being stipend and tuition assistance up to $5,250.
Recognition Rewards, Referral bonuses, and exclusive discounts.
Full Job Description
Job Description: Key Responsibilities
Design, develop, test, deploy, and maintain scalable software applications following established engineering standards, coding best practices, and architectural guidelines under general supervision.
Collaborate with product managers, designers, architects, and fellow engineers to translate business requirements into high-quality software solutions.
Participate in all phases of the software development lifecycle (SDLC), including requirements analysis, design, implementation, testing, deployment, monitoring, and maintenance.
Write clean, maintainable, secure, and efficient code that meets functional and non-functional requirements.
Conduct peer code reviews, contribute to engineering best practices, and provide constructive feedback to help improve overall code quality.
Troubleshoot, debug, and resolve application issues to ensure reliability, performance, and scalability.
Contribute to the development and integration of AI-enabled features, services, or workflows, including working with large language models (LLMs), AI agents, and AI-assisted development tools.Assist in the design, testing, and evaluation of agentic workflows and AI-powered solutions while applying responsible AI, security, and governance practices.
Leverage AI development tools and automation capabilities to improve developer productivity, software quality, and delivery speed.
Participate in continuous improvement efforts related to AI Software Development Lifecycle (AI SDLC) practices, including prompt engineering, model evaluation, testing, observability, and deployment processes.
Job Qualifications:
Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field, or equivalent practical experience.
3+ years of professional software engineering experience developing and supporting enterprise applications.
Proficiency in one or more modern programming languages such as Java, C#, Python, JavaScript, or TypeScript.
Experience with cloud platforms, APIs, databases, and modern software development practices.1-2 years of hands-on experience working with AI-enabled applications, generative AI technologies, AI assistants, agentic workflows, or large language model (LLM) integrations.
Understanding of AI SDLC concepts, including AI-assisted development, prompt engineering, model evaluation, testing, governance, security, and responsible AI practices.
Experience using modern development tools, source control systems, CI/CD pipelines, and Agile delivery methodologies.
Strong analytical, troubleshooting, communication, and collaboration skills.
Preferred Qualifications
Experience building AI agents or orchestrating multi-step workflows using frameworks such as LangChain, Semantic Kernel, AutoGen, CrewAI, or similar technologies.
Familiarity with AI-assisted engineering platforms and tools used throughout the AI SDLC (ex: BMAD, Speckit, VS Code, Copilot).
Experience developing cloud-native applications on Azure, AWS, or Google Cloud.Knowledge of software architecture, observability, automated testing, and DevSecOps practices.
Passion for leveraging AI to improve engineering productivity, software quality, and business outcomes.
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Annual Pay Range: 93,200 - 115,000 USD
Application Window:
This opportunity is expected to remain posted through the date identified below, subject to business needs.
Thrive with Cotality
At Cotality, we offer more than just a job, we provide a benefits experience designed to support your whole self. From a flexible working model to competitive time off and standout health coverage with meaningful perks and growth opportunities, our package is built to help you thrive at work and in life.
Highlights, depending on role classification, include:
Time off: Generous PTO and 11 paid holidays, plus well-being and volunteer time off.
Family Support: Up to 16 weeks of fully paid parental leave and a baby stipend.
Health: Multiple medical plan options with mental health and wellness support offerings.
Retirement: 401(k) with company match and vesting after one year.
Financial Perks: $400 annual well-being stipend and tuition assistance up to $5,250.
Extras: Recognition Rewards, Referral bonuses, exclusive discounts and more!
