
Full Stack AI Engineer
Role: Full Stack AI Engineer
Location: Boston, MA (Hybrid) - One day per week in office must.
Job Description
- 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
- Strong analytical skills to assess potential designs and choose the best solution for the business
- Committed to delivering results under challenging circumstances
- Capable of translating AI/LLM concepts into practical, scalable software solutions Innovative thinker who finds creative ways to execute when historical context is limited
- 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
PSRTEK is a reputed technology recruitment and IT staffing brand with a global footprint and an admired client base. As an ideas and innovation powerhouse with a culture of excellence, we bring remarkable expertise and deliver powerfully transformative results.
Role: Full Stack AI Engineer
Location: Boston, MA (Hybrid) - One day per week in office must.
Job Description
- 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
- Strong analytical skills to assess potential designs and choose the best solution for the business
- Committed to delivering results under challenging circumstances
- Capable of translating AI/LLM concepts into practical, scalable software solutions Innovative thinker who finds creative ways to execute when historical context is limited
- 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
PSRTEK is a reputed technology recruitment and IT staffing brand with a global footprint and an admired client base. As an ideas and innovation powerhouse with a culture of excellence, we bring remarkable expertise and deliver powerfully transformative results.