Artificial Intelligence Engineer

Required Skills & Experience Bachelor's degree 2+ years of experience with AI/ML and GenAI 5+ years of experience with a variety of languages including Angular, React, NodeJS, Python, Streamlit, C#, .NET Core, Golang, SQL/noSQL Strong foundation in software engineering and OOP/OOD 5+ years of cloud native engineering experience with a microservices/FaaS/PaaS on a public cloud platform Excellent interpersonal and organizational skills Job Description The GenAI Software Engineer plays a key role in high-visibility projects, delivering solutions that drive business value. Leveraging Contractor’s expertise in multiple programming languages and modern frameworks to deliver high-quality, outcome-focused solutions. The ideal candidate is a dependable team player and mentor, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions. Responsibilities: Outcome-Driven Accountability: • Contribute to a culture of accountability for customer and business outcomes. • Develop high-quality, lean engineering solutions to solve complex problems. Technical Advocacy: • Serve as the technical advocate for products, ensuring code integrity and alignment with goals. • Lead requirement analysis, architecture design, development, testing, integration, and support. Engineering Craftsmanship: • Maintain accountability for code design, implementation, quality, and maintenance. • Stay hands-on and continuously learn new approaches, languages, and frameworks. • Write high-quality, scalable code and review peers' work, mentoring to meet quality KPIs. Customer-Centric Engineering: • Develop lean solutions through rapid experimentation to meet customer needs. • Engage with customers and product teams to ensure timely and accurate delivery. Incremental and Iterative Delivery: • Favor action and evidence over extensive planning. • Deliver lean, supportable, and maintainable solutions amidst complexity and uncertainty. Cross-Functional Collaboration and Integration: • Collaborate with product management, experience, and delivery teams. • Integrate diverse perspectives for well-informed, balanced decisions. Advanced Technical Proficiency: • Demonstrate expertise in Agile methodologies and DevSecOps for daily product deployments. • Optimize solutions and product delivery through continuous improvement. Domain Expertise: Quickly acquire relevant domain-specific knowledge. Translate business needs into technical specifications and code. Effective Communication and Influence: • Articulate complex technical concepts clearly and compellingly. • Inspire and influence teams through well-structured arguments and evidence. Engagement and Collaborative Co-Creation: • Engage with product engineering teams and customers. • Foster a culture of co-creation and shared momentum towards product goals.