Lead AI Engineer

Full Stack / Lead AI Engineer

Location: - Boston, MA (Hybrid) - One day per week in the office must.

Responsibilities:

• Technical Execution AI-Powered Software Development & API Integration Design, develop, and deploy AI-powered applications that enhance RCM automation
• Develop AI-driven microservices and ensure cloud-native deployment.
• AI Optimization & Performance Tuning Optimize AI model performance via API configurations rather than custom fine-tuning
• Leverage AI orchestration tools (LangChain) to automate complex AI workflows
• Microservices & APIs Build and maintain RESTful APIs for AI features; integrate with internal and external systems
• Accurately estimate development tasks and own them through completion
• Deliver high-quality software components
• Ensure solutions meet reliability, performance, and compliance standards (especially for healthcare data)
• Evaluate and propose new technologies
• Identify scalable open-source frameworks or cloud-based AI services, ensuring robust and cost-effective implementations
• Code reviews & quality assurance
• Participate in peer reviews, ensuring adherence to coding conventions and best practices
• Write, debug, and deploy code to production, promptly delivering fixes
• Contributions to the Team Subject matter expert Serve as a go-to resource for AI/LLM-related application architecture and best practices.
• Stay current with industry trends (agentic AI, genAI) and share insights with the broader team
• Scrum team participation Collaborate in Agile ceremonies: daily stand-ups, sprint planning, retrospectives
• Commit to sprint goals and deliver incremental value to customers and internal stakeholders
• Team accountability Encourage a culture of ownership: if you build it, you support it post-release Help the team continuously improve velocity, code quality, and automation
• Cross-Functional Coordination & Communication Partner with product and UX Translate requirements for AI-driven RCM features into technical designs, ensuring alignment with user needs
• Collaborate on user experience improvements requiring generative AI insights (e.g., claims code suggestions)
• Stakeholder engagement
• Work closely with compliance/security teams to maintain HIPAA/data governance standards
• Communicate technical roadmaps, dependencies, and timelines effectively to non-technical audiences
• Broad knowledge sharing Educate peers on AI/ML design patterns, cloud infrastructures, and best practices
• Build strong relationships with cross-functional teams, bridging technology and business domains

Requirements:

• Ability to learn and adapt rapidly while producing high-quality code
• Capable of translating AI/LLM concepts into practical, scalable software solutions Innovative thinker who finds creative ways to execute when historical context is limited
• Strong analytical skills to assess potential designs and choose the best solution for the business
• Committed to delivering results under challenging circumstances
• Skilled at mentoring and coaching to elevate junior team members
• Able to uphold best engineering practices for quality, security, and performance

Experience: -

• 8 11 years of experience in a software engineering role, with a focus on backend or full-stack development
• Proven track record of AI/LLM application development or integration
• Strong experience in Python-based AI application development with API engineering
• Proficiency in RESTful APIs, microservices, and cloud-based AI deployments (AWS, Kubernetes, Lambda)
• Familiarity with AI orchestration tools for AI workflow automation Knowledge of SQL and NoSQL databases (PostgreSQL) for AI-powered search
• Experience working in Agile teams and delivering AI-driven features in a cloud-first environment

Educational Qualifications: -

• Bachelor's degree in computer science or related field Understanding of healthcare data privacy regulations (HIPAA, GDPR) is a plus

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