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Tech Stack
Tools & technologiesAWSCloudGoGoogle Cloud PlatformGraphQLJavaScriptMicroservicesNode.jsNoSQLPython
About the role
Key responsibilities & impact- Design, develop, and launch scalable, secure full-stack applications and microservices using public cloud platforms (AWS/GCP)
- Create custom solutions to solve business processes, especially those that require AI technologies
- Utilize modern backend languages (Python, Go, Node.js) while embedding AI functionality where appropriate
- Work closely with the Engineers and Product management to innovate and deliver solutions involving AI services, large language models (LLMs), and agentic workflow orchestration
- Develop robust APIs and integration services to connect AI-powered applications with other enterprise systems
- Integrate a wide range of AI technologies—including natural language processing, machine learning, generative AI, and AI-powered search—into workflows to automate tasks, enhance user experience, and derive actionable insights
- Design, develop, and maintain custom AI agents for workflow automation, customer interaction, personalized recommendations, and predictive analysis within the ecosystem
- Write clean, maintainable, and well-tested code leveraging Agentic Engineering practices that promote an AI development culture
- Contribute to the entire software development lifecycle, from requirements gathering and AI solution design to deployment, monitoring, and maintenance
Requirements
What you’ll need- 5+ years of professional software development experience
- Strong proficiency in at least one modern programming language is important
- Experience building and deploying applications on a major cloud provider (AWS, GCP), including use of AI services offered by these platforms
- Solid understanding of microservices architecture, RESTful APIs, GraphQL, event-driven systems, and how to orchestrate AI microservices within these frameworks
- Experience with relational and NoSQL databases, as well as vector databases for AI applications
- Familiarity with LLMs, vector databases and agentic frameworks for advanced AI-driven applications
- Bachelor’s degree in computer science, or a related field, or equivalent practical experience.
Benefits
Comp & perks- Opportunities for professional growth and development
- A collaborative and inclusive work environment
- The chance to work on impactful projects with a talented team
- Excellent compensation in USD
- Hardware and software setup
ATS Keywords
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Hard Skills & Tools
PythonGoNode.jsAI technologiesAPIsmicroservices architectureRESTful APIsGraphQLmachine learningnatural language processing
