Software Developer II (GenAI-Agentic AI)

GenAI Software Developer II

The AI Software Engineer II / IT Developer II will be a key member of our Integration and Middleware Development team, with a strong hands-on focus on AI/ML-driven engineering solutions. The ideal candidate will bring practical experience designing, building, and deploying AI/ML and Generative AI capabilities within enterprise systems, while also contributing to scalable integration and middleware platforms. This role requires hands-on experience applying machine learning, Generative AI, and intelligent automation techniques to solve real engineering and business problems — including intelligent monitoring, anomaly detection, predictive workflows, AI-assisted development, and intelligent integration patterns. The candidate should demonstrate practical experience working with ML models, LLM-based solutions, data pipelines, and AI-powered system enhancements. The Developer will specialize in designing, developing, and maintaining scalable APIs, microservices, and middleware technologies while embedding AI/ML capabilities into enterprise integration workflows. Strong expertise in Node.js, Python, modern microservices architectures, and API design patterns is expected. The Developer will collaborate closely across the IT Department with full-stack, data science, database, and ERP teams, as well as cross-functional business partners to deliver intelligent, scalable, and AI-enabled enterprise solutions.

Essential Functions

• Execute established Software Development Life Cycle (SDLC) processes.
• Collaborate with business analysts and stakeholders to develop software solutions aligned with business processes, data usage, and system flows.
• Create detailed process flows, high-level functional designs, and technical design specifications based on business requirements.
• Write clean, scalable, efficient, and testable code.
• Deploy software solutions and proactively evaluate user feedback.
• Troubleshoot, debug, maintain, and upgrade existing systems and applications.
• Adhere to enterprise standards and development guidelines, including documentation, version control, testing, and migration practices.
• Plan, track, escalate, and deliver assigned tasks effectively and on schedule.
• Provide reliable customer support for critical application issues.
• Collaborate effectively with onsite and offshore teams.
• Continuously enhance job knowledge by exploring state-of-the-art development tools, programming techniques, and industry trends.
• Communicate proactively with internal and external partners.
• Participate in scheduled and off-hours support rotations as needed.

Please note this job description outlines primary duties but is not exhaustive. Responsibilities may evolve over time.

Additional Expectations:

• Analyze and develop technical solutions aligned with business and customer requirements
• Exhibit strong analytical, problem-solving, and critical-thinking skills
• Demonstrate the ability to translate complex business and technical needs into actionable solutions
• Effectively manage multiple priorities and concurrent projects
• Possess strong written and verbal communication skills, including detailed documentation of technical incidents and processes
• Work independently while maintaining strong team-oriented interpersonal skills, including collaboration, facilitation, and effective interfacing with diverse groups
• Maintain a high degree of professionalism and business judgment
• Deliver effective and professional presentations to peers, management, and technical professionals
• Proficient with standard productivity tools such as Microsoft Office and Outlook
• Exhibit excellent interpersonal skills, organizational proficiency, and planning capabilities
• Experience with DevOps practices and CI/CD pipelines is a plus

Qualifications

Minimum Qualifications:

• 4-5 Years – Hands-on experience designing and implementing AI/ML/GenAI solutions, including:
• Building and integrating machine learning models into production systems
• Working with Large Language Models (LLMs), prompt engineering, or AI-assisted automation
• Implementing intelligent monitoring, anomaly detection, predictive workflows, or AI-driven error handling
• Applying AI/ML to engineering productivity, automation, or enterprise system enhancements
• Demonstrated practical implementation, not just conceptual knowledge
• 4-5 Years – Cloud technologies experience (Azure preferred, AWS acceptable), including deployment of AI/ML or data-driven services
• 4-5 Years – Experience with Enterprise Integrations and middleware development (MuleSoft)
• 4-5 Years – Experience with Node.js and Python development (including experience using Python for data processing, ML workflows, or AI integration)
• 4-5 Years – Experience building scalable APIs/microservices with demonstrated understanding of architectural patterns
• 3 Years – Experience managing technical projects and/or working in roles requiring substantial cross-team collaboration
• Experience may include a combination of work experience and education

*experience may include a combination of work experience and education

Preferred Qualifications:

• 6 Years – Hands-on experience designing, training, fine-tuning, or integrating AI/ML/GenAI solutions in production environments
• Experience working with:
• LLM frameworks and AI platforms (Azure OpenAI, OpenAI, Hugging Face, etc.)
• Model lifecycle management, evaluation, or monitoring practices
• AI-powered automation or intelligent workflow orchestration
• Data preprocessing, feature engineering, or model optimization
• 6 Years – Cloud technologies experience (Azure preferred, AWS acceptable)
• 5 Years – Experience with Enterprise Integrations and middleware development (MuleSoft)
• 5 Years – Experience building scalable APIs/microservices with demonstrated understanding of architectural patterns
• 4 Years – Experience managing technical projects and/or working in roles requiring substantial cross-team collaboration

*experience may include a combination of work experience and education

Education

• Minimum Required:
  • Bachelor's Degree in Computer Science, Engineering, or related field

• Preferred:
  • Master's Degree in Computer Science, Engineering, or related field

Typical Compensation Range

Pay Rate Type: Salary$100,464.14 - $145,673.02 / Yearly

Benefits

Our Total Rewards package is thoughtfully designed to support both you and your family:

Regular full-time team members are offered a comprehensive benefits package, while part-time, intern, and seasonal team members are offered a limited benefits package.

• Paid Time Off for holidays, sick time, and vacation time
• Paid parental and caregiver leaves
• Medical, including virtual care options
• Dental
• Vision
• 401(k) with company match
• Health Savings Account with company match
• Flexible Spending Accounts
• Expanded mental wellbeing benefits including free counseling sessions for all team members and household family members
• Family Building Benefits including enhanced fertility benefits for IVF and fertility preservation plus adoption, surrogacy, and Doula reimbursements
• Income protection including Life and AD&D, short and long-term disability, critical illness and an accident plan
• Special discount programs including pet plans, pre-paid legal services, identity theft, car rental, airport parking, etc.
• Tuition reimbursement, college savings plan and scholarship opportunities
• And more!