Job Title: AI Builder (AI Solutions Engineer)
Experience Required:
- Junior: 3 6 Years
- Mid-Level: 7 10 Years
- Senior: 10+ Years
Role Summary:
The AI Builder (AI Solutions Engineer) is responsible for rapidly transforming business ideas into production-ready AI solutions. This role leverages Claude Cowork and modern AI coding tools to design, prototype, and deploy AI applications with speed and quality. The ideal candidate is a full-stack AI engineer capable of handling front-end, back-end, AI orchestration, and enterprise deployment without handoffs.
Key Responsibilities:
- Design and build AI-powered solutions from business requirements within hours or days.
- Use Claude Cowork as the primary development platform for rapid AI solution delivery.
- Develop and demonstrate working AI prototypes during business review meetings.
- Convert prototypes into scalable, production-ready applications.
- Develop across front-end, back-end, APIs, and AI orchestration layers.
- Collaborate with business stakeholders to understand problems and translate them into technical solutions.
- Navigate enterprise governance, security, and compliance processes while maintaining delivery speed.
- Build AI workflows, agents, and automation solutions using modern AI frameworks.
Required Skills:
Primary AI Delivery
- Extensive hands-on experience with Claude Cowork.
- Ability to rapidly build, iterate, and deploy AI solutions.
AI Coding Tools
- Claude Code
- Cursor
- Windsurf
- GitHub Copilot
- Ability to explain when and why each tool is used.
AI & Engineering
- Generative AI
- Agentic AI
- Retrieval-Augmented Generation (RAG)
- AI Agents
- Workflow Automation
- Prompt Engineering
- Full-Stack Development
Programming & Frameworks
- Python
- React.js
- Next.js
- REST APIs & Integrations
- LangGraph
- CrewAI
- LangChain
- PydanticAI
Business & Functional Skills
- Business Discovery
- Requirements Gathering
- Stakeholder Management
- Solution Design
- Rapid Prototyping
Enterprise Experience
- AI Governance
- Security Reviews
- Compliance
- Enterprise AI Deployment
- Cross-functional Collaboration
Nice to Have
- Healthcare domain experience
- FHIR
- HL7
- Claims Processing
- Clinical Operations
- Revenue Cycle Management (RCM)
- HIPAA
- GxP
Qualifications
- 3+ years (Junior), 7+ years (Mid-Level), or 10+ years (Senior) of software engineering and AI solution development experience.
- Strong experience building AI applications using LLMs and agentic frameworks.
- Hands-on expertise with modern AI development tools and full-stack technologies.
- Experience working in enterprise environments with governance and security requirements.
- Excellent communication and stakeholder interaction skills.
Contact :