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Senior Full Stack Engineer – AI & Emerging Technology - 1619

aKube Inc

Roles & Responsibilities

  • 4–5 years of software engineering experience building production applications
  • Strong frontend and backend development experience
  • Hands-on experience with AWS cloud infrastructure
  • Bachelor’s degree in Computer Science, Engineering, or related field

Requirements:

  • 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
  • Collaborate with product, design, and data teams to deliver new features

Job description

This is a remote position.

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
Ready to apply?
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