Senior Full Stack Engineer – AI & Emerging Technology - 1619

Location:

Onsite/ Hybrid/ Remote:Remote (EST Work Hours)
Duration:​12 Months to start with
Rate Range:Upto $80/hr W2 or $88/hr C2C
Work Authorization:GC, USC, H1B All valid EADs except OPT, CPT

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