AI/ML Software Engineer

Want to be a bswifter? 

At bswift we’ve been transforming benefits administration since 1996, making it simpler, smarter, and more human. Our state-of-the-art, cloud-based technology and services empower employees to understand, manage, and love their benefits. From downtown Chicago, and remotely across the country, we serve thousands of companies and millions of people nationwide, reducing administrative burdens and freeing HR teams to focus on creating thriving, people-first workplaces. 

 We’re looking for motivated and goal-driven individuals who share our passion for delivering excellence and creating solutions that make a difference. The reward is a fun, flexible and creative environment with ample opportunity for professional and personal growth. If you love the bswift values of pursue excellence, embrace accountability, deliver superior service, and be a great place to work, we want to hear from you! 

About the Role

We are looking for an AI Engineer II to design, build, and deploy cutting-edge generative AI applications, including agentic workflows and intelligent chat experiences, that transform how employees interact with their benefits.

This role goes beyond individual contribution—you will own complex AI features end-to-end, influence architecture decisions around LLMs and agent systems, and mentor junior engineers. You will play a key role in bringing secure, scalable, and high-performance AI solutions to production using AWS cloud technologies.

You will collaborate closely with software engineers, architects, product managers, and cross-functional teams to deliver seamless and impactful user experiences

Key Responsibilities

1. Solution Design & Development

• Lead the design and development of scalable, secure, and high-performance applications.
• Architect robust backend systems and integrate them with frontend applications and third-party services.
• Drive technical decisions and participate in design reviews alongside senior engineers and architects.
• Build generative AI-powered applications, including:
  • Agentic workflows (multi-step AI agents using tools)
  • Intelligent chat interfaces for employee benefits guidance

2. System Decomposition & Iterative Delivery

• Break down complex systems into manageable components and deliverables.
• Lead prototyping efforts to validate assumptions and reduce risk.
• Own technical scoping and execution planning for features.

3. Product Ownership & Lifecycle Management

• Take end-to-end ownership from prototype to production and ongoing operations.
• Ensure systems are reliable, scalable, maintainable, and performant.
• Identify and proactively resolve technical debt.

4. Observability & Reliability

• Implement logging, monitoring, and tracing across services.
• Define and maintain SLOs/SLAs for critical systems.
• Ensure real-time visibility to detect anomalies and ensure system health.

5. Deployment & Release Management

• Build and maintain CI/CD pipelines using Infrastructure-as-Code (IaC).
• Ensure automated and reliable deployments.
• Promote best practices for deployment and release processes.

6. Code Quality, Testing & Performance

• Write clean, modular, and well-documented code.
• Lead code reviews and establish quality standards.
• Implement unit, integration, and end-to-end testing.
• Optimize APIs and backend systems for performance and scalability.

7. Cloud & Security

• Design and deploy applications on AWS cloud, including: S3, CloudFront, API Gateway, Lambda, DynamoDB, SQS, EventBridge
• Ensure secure handling of sensitive data.
• Support security reviews, compliance audits, and mitigation efforts.

8. Generative AI & Agentic Systems

• Build agentic AI workflows enabling autonomous multi-step task execution.
• Develop LLM-powered chat systems with contextual and intelligent interactions.
• Implement core AI capabilities:
  • Prompt engineering
  • Retrieval-Augmented Generation (RAG)
  • Tool/function calling
  • Memory management
  • Agent orchestration
• Evaluate and leverage frameworks like:
  • LangChain, LlamaIndex, AutoGen, Amazon Bedrock Agents
• Partner with product and data teams to drive automation and personalization through AI.

9. Mentorship & Collaboration

• Mentor junior engineers and interns, supporting technical and career growth.
• Foster a culture of knowledge sharing and engineering excellence.
• Participate in hiring and technical interviews.

Qualifications

Education & Experience

• Bachelor’s degree in Computer Science, Engineering, or related field
• 4–8 years of experience in software development or AI engineering

Technical Skills

• Strong experience with AWS services (mandatory):
  • DynamoDB, Lambda, API Gateway, SQS, EventBridge, S3
• Proficiency in:
  • C# / Java, Node.js, TypeScript
  • Python (preferred for AI/ML integrations)
• Solid understanding of:
  • OOP principles, design patterns
  • Microservices & event-driven architectures
  • RESTful APIs and distributed systems
• Experience with:
  • SQL & NoSQL databases
  • CI/CD tools (GitHub Actions, Jenkins, AWS CodePipeline)
  • Development tools (Jira, GitHub, SonarQube)

AI & Generative AI Expertise

• Hands-on experience in:
  • LLM integrations
  • Prompt engineering
  • RAG pipelines
  • Tool/function calling
• Experience building:
  • Agentic workflows or AI-powered chat systems (highly preferred)
• Familiarity with Amazon Bedrock or similar AI/ML platforms

Soft Skills

• Strong problem-solving and system design capabilities
• Excellent communication and collaboration skills
• Ability to independently own and deliver complex solutions
• Experience working in Agile environments

At bswift, we empower our employees to make a meaningful impact, innovate, and grow. Joining our team means stepping into a collaborative and dynamic environment that values creativity, initiative, and a passion for client success. We are dedicated to fostering an inclusive workplace that celebrates diversity and values each team member’s unique contributions.

Competitive Compensation: A compensation package that recognizes your skills, experience, and contributions, including performance-based incentives for most roles.

Professional Development: Opportunities for career growth, including training and access to resources to support your career progression.

Supportive Culture: A work environment that encourages collaboration, open communication, and creative problem-solving, where your voice and ideas are valued.

Employee Wellbeing Initiatives: Programs focused on mental health, financial planning, and wellness resources to help you thrive inside and outside of work.

At bswift, our mission is clear: Become the preeminent benefits administrator through exceptional people, innovative technology, and delighted customers. And our values are at the heart of everything we do to accomplish that mission. We Pursue Excellence, Embrace Accountability, Deliver Superior Service, and strive to Be A Great Place To Work. We take pride in having an engaged, collaborative team that goes the extra mile to get the job done right.  

 bswift has been regularly named one of Chicago’s Best and Brightest Companies to Work For®, as well as one of the Nation’s Best and Brightest Companies to Work For® year after year. We offer a fun, flexible, and creative environment where you can grow both professionally and personally. 

If you have what it takes to join our award-winning culture, we’d love to hear from you!