Senior Full Stack Engineer – AI & Emerging Technology - 1619
Summary
Build AI-powered full stack applications from frontend to backend, integrating LLM workflows and RAG pipelines into scalable cloud-native services. Work with React, Next.js, TypeScript, Python/Node.js/Go, AWS, microservices, and vector databases on a 12-month contract (remote, EST hours).
Location:
Must Have:
- React
- Next.js
- TypeScript
- Python or Node.js or Go
- AWS
- REST APIs
- Microservices
- Event-driven architecture
- LLM integration
- RAG architecture
- Vector databases
- CI/CD
- Kubernetes
- Distributed systems
Responsibilities:
- Build AI-powered full stack applications from frontend to backend
- Develop and integrate LLM workflows, RAG pipelines, and AI automation features
- Design scalable APIs, microservices, and cloud-native services
- Build responsive UI using React and Next.js
- Develop backend services using Python, Node.js, or Go
- Deploy and maintain applications in AWS environments
- Build distributed systems and large-scale data pipelines
- Collaborate with product, design, and data teams to deliver new features
- Participate in architecture discussions and platform design decisions
- Maintain production reliability through monitoring, logging, and automation
- Support on-call activities and operational improvements
- Mentor engineers through code reviews and technical guidance
Qualifications:
- 4–5 years of software engineering experience building production applications
- Strong frontend and backend development experience
- Hands-on experience with AWS cloud infrastructure
- Experience building REST APIs, microservices, and distributed systems
- Experience with relational and NoSQL databases
- Experience with CI/CD and infrastructure as code
- Experience integrating OpenAI, Anthropic, or similar LLMs into production systems
- Understanding of prompt engineering, function calling, and AI agent workflows
- Experience with vector databases and embedding models
- Bachelor’s degree in Computer Science, Engineering, or related field
Nice to Have:
- Databricks
- Apache Spark
- AWS Glue
- Scala
- Edge computing
- CloudWatch
- Datadog
- Media or news industry experience
- SaaS platform experience
Details
Originally posted on Himalayas