Software Engineer

Evolent

2d • $112,000 - $123,000

About The Position

Evolent is hiring a Software Engineer to design, develop, test, and maintain software and data solutions. The role works with product managers, designers, and engineers to translate requirements into technical specifications, produce maintainable code, and improve application performance, scalability, and reliability. It also contributes to development processes and keeps current with emerging technologies.

The engineer applies AI-assisted techniques throughout the delivery lifecycle, including requirements analysis, development, testing, debugging, documentation, and operational monitoring. The role evaluates AI-supported designs and architectures, validates generated work for correctness, security, maintainability, compliance, and business appropriateness, and creates reusable AI-enabled engineering practices. It also supports governed data platforms and datasets for machine learning, analytics, and generative AI while ensuring AI use follows enterprise policies for intellectual property, security, privacy, PHI handling, and Responsible AI.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
• Proficiency in one or more programming languages, such as C# or Python, and relevant frameworks.
• Strong understanding of software design principles, algorithms, and data structures.
• Knowledge of cloud platforms such as Azure, AWS, or GCP, and experience with data engineering technologies such as Spark, Databricks, or Microsoft Fabric.
• Knowledge and experience with modern data engineering patterns, such as Data Vault, dimensional modeling, data products, lakehouse architecture, feature flags, event-driven systems, and DAGs.
• Familiarity with Git or similar version control systems and collaborative coding workflows.
• Ability to write unit, integration, and end-to-end tests.
• Strong problem-solving skills and ability to work independently and as part of a team.
• Strong communication skills and ability to explain technical concepts to technical and non-technical stakeholders.
• Demonstrated experience using AI-assisted development platforms such as GitHub Copilot, Cursor, Claude Code, or similar tools to deliver production work.
• Strong prompt engineering skills and experience with AI-assisted testing and AI-enabled delivery practices.
• Experience with machine learning data pipelines, vector search technologies, document processing pipelines, or AI data preparation techniques.
• Working knowledge of data governance, lineage, quality, and observability practices supporting AI-enabled solutions.
• High-speed home internet over 10 Mbps.

Responsibilities

• Design, develop, test, and maintain software applications using modern programming languages and frameworks.
• Collaborate with product managers, designers, and engineers to translate requirements into technical specifications.
• Write clean, maintainable, efficient code that follows best practices and coding standards.
• Participate in code reviews to support code quality, functionality, and maintainability.
• Troubleshoot, debug, and resolve technical issues and bugs.
• Optimize applications for performance, scalability, and reliability.
• Contribute to continuous improvement of development processes, tools, and methodologies.
• Stay up to date with emerging technologies and industry trends and apply them to products and solutions.
• Apply AI-assisted engineering techniques across requirements analysis, pipeline and code development, testing, debugging, documentation, and operational monitoring.
• Iterate with AI on solution design and architecture, evaluate alternatives, revise architecture, and produce design artifacts for review.
• Validate AI-generated outputs for correctness, security, maintainability, compliance, and business appropriateness, including AI-assisted work by other engineers.
• Design and support data platforms and governed datasets for machine learning, analytics, and generative AI workloads.
• Contribute reusable prompts, skills, agents, engineering playbooks, and AI-assisted development patterns.
• Ensure AI usage complies with enterprise policies for intellectual property protection, security, privacy, PHI handling, and Responsible AI standards.

Benefits

• Comprehensive benefits, including health insurance benefits, for qualifying employees.
• Work/life balance and flexibility to suit work to employees’ lives.
• Autonomy to get work done.

What This Job Offers

• Job Type: Full-time