Job Overview
Company: NewPage Solutions
Role: Full Stack Developer
Experience: 3–5 Years
Location: Multiple Locations
Employment Type: Full-Time
Industry: Artificial Intelligence, Software Engineering, Cloud Computing
NewPage Solutions is hiring Full Stack Developers with strong expertise in AI Engineering, Agentic AI, LangGraph, Python, TypeScript, Cloud Infrastructure, Vector Databases, and Production-Grade Software Development. This role focuses on building, deploying, and scaling AI-powered applications, autonomous agents, workflows, MCP servers, and cloud-native solutions.
Key Job Highlights
| Category | Details |
|---|---|
| Company | NewPage Solutions |
| Position | Full Stack Developer |
| Experience | 3–5 Years |
| Domain | AI & Agentic AI |
| Programming Languages | Python, TypeScript |
| AI Frameworks | LangGraph, AutoGen, OpenAI Assistants |
| Backend | FastAPI |
| Frontend | Next.js |
| Cloud Platforms | AWS, Azure, Cloudflare, Vercel |
| DevOps | Docker, Kubernetes, GitHub Actions |
| Databases | Vector Databases |
| Work Type | Full-Time |
About NewPage Solutions
NewPage Solutions focuses on delivering innovative digital solutions powered by Artificial Intelligence, cloud technologies, data engineering, and modern software architecture. The company develops scalable enterprise platforms that leverage AI agents, retrieval systems, automation, and cloud-native engineering practices.
Roles and Responsibilities
AI & Agent Development
- Build and deploy AI-powered applications.
- Design and implement autonomous AI agents.
- Develop and manage MCP servers.
- Create multi-step AI workflows.
- Integrate external tools with LLMs.
Full Stack Development
- Develop scalable Next.js applications.
- Build FastAPI services and APIs.
- Design microservice-based architectures.
- Implement secure and maintainable systems.
Cloud Engineering
- Deploy applications on AWS, Azure, Cloudflare, or Vercel.
- Configure Docker containers.
- Manage Kubernetes deployments.
- Build cloud-native infrastructure.
Evaluation & Optimization
- Develop AI evaluation harnesses.
- Measure model performance and reliability.
- Optimize latency, cost, and accuracy.
- Monitor production AI systems.
DevOps & Security
- Implement CI/CD pipelines.
- Manage secrets and credentials securely.
- Apply SAST and DAST practices.
- Configure observability, logging, and tracing.
Technical Leadership
- Mentor engineering teams.
- Guide architecture decisions.
- Promote AI engineering best practices.
- Support scalable solution design.
Required Technical Skills
Programming Languages
- Python
- TypeScript
AI & Agentic Frameworks
- LangGraph
- AutoGen
- OpenAI Assistants
- Claude Agent SDK
- Agentic AI Workflows
- MCP Servers
Frontend Development
- Next.js
- React.js
- TypeScript
Backend Development
- FastAPI
- REST APIs
- Microservices Architecture
Databases & Retrieval
- Vector Databases
- RAG Pipelines
- Embedding Systems
- Retrieval Systems
Cloud & Infrastructure
- AWS
- Azure
- Cloudflare
- Vercel
- Docker
- Kubernetes
DevOps Tools
- GitHub Actions
- Jenkins
- CI/CD Pipelines
Software Engineering Practices
- OOP
- SOLID Principles
- 12-Factor Applications
- TDD
- Secure Coding
Preferred Qualifications
MLOps Experience
- MLflow
- BentoML
- Vertex AI
- Amazon SageMaker
Data Engineering
- Apache Spark
- Apache Airflow
- Apache Beam
- AWS Glue
Industry Knowledge
- Healthcare Technology
- Life Sciences
- Medical AI Applications
Certifications
- AWS Professional Certification
- Azure Certification
- Kubernetes Certification
- Cloud Architecture Certifications
Experienced Resume Keywords
AI Engineering Keywords
- Agentic AI
- AI Agents
- LangGraph
- AutoGen
- OpenAI Assistants
- MCP Servers
- LLM Engineering
- Generative AI
- Prompt Engineering
- AI Workflows
Software Engineering Keywords
- FastAPI
- Next.js
- TypeScript
- Python Development
- Microservices
- REST API Development
- Full Stack Development
- Cloud Native Architecture
Cloud & DevOps Keywords
- AWS
- Azure
- Docker
- Kubernetes
- CI/CD
- GitHub Actions
- Infrastructure Automation
MLOps Keywords
- MLflow
- BentoML
- SageMaker
- Model Serving
- AI Deployment
- Model Monitoring
ATS Keywords
- Full Stack Developer
- AI Engineer
- Agentic AI Developer
- Python Developer
- TypeScript Developer
- Cloud Engineer
- Software Engineer
- Generative AI Engineer
- LLM Engineer
- Platform Engineer
Skill Comparison Table
| 3–5 Year Developers | Senior AI Engineers |
|---|---|
| Full Stack Development | AI Platform Architecture |
| FastAPI APIs | Distributed AI Systems |
| Next.js Applications | Enterprise Agent Ecosystems |
| Basic RAG Systems | Large-Scale Retrieval Platforms |
| Cloud Deployment | Multi-Cloud Architecture |
| Docker & Kubernetes | Advanced Infrastructure Design |
| LLM Integration | AI Strategy & Optimization |
Why Join NewPage Solutions?
- Work on cutting-edge Agentic AI systems.
- Build production-grade AI applications.
- Gain exposure to modern cloud-native architectures.
- Work with LangGraph, OpenAI Assistants, and AI agents.
- Collaborate on innovative AI-driven products.
- Develop expertise in MLOps and AI infrastructure.
SEO Keywords
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SEO Meta Description
Apply for NewPage Solutions Full Stack Developer Recruitment 2026. Professionals with 3–5 years of experience in Python, TypeScript, LangGraph, FastAPI, Next.js, AI agents, MCP servers, vector databases, Docker, Kubernetes, AWS, Azure, and cloud-native development can explore this opportunity.