Node.JS Developer
Akaasa Technologies
Node.JS Developer
Location: Remote USA (San Francisco, Arlington VA, Denver, Chicago, Boston, NYC, Houston, Miami, Los Angeles, Seattle, Dallas, Minneapolis, Atlanta, Birmingham MI, and Irvine CA)
Duration: 6 10 Months
Interview: In-person interview required at a designated client office
Note:
- Old LinkedIn with location - with photo
- Remote role with mandatory interview or laptop pick up at a designated client location.
Top Skills Required:
FSE - 1 NodeJS, Java, AWS, DB
Build UI + backend for AI systems
Integrate APIs, data pipelines, and AI services
Skills: NodeJS and/or Java, AWS, DB
Focus: productization of AI
We are seeking a Full Stack Engineer to help build and scale AI-powered products and platforms. This role will focus on developing user-facing applications, backend services, and integrations that enable AI solutions to be deployed in production environments. The ideal candidate has strong experience in modern application development, cloud technologies, and API integrations, with a passion for transforming AI capabilities into business-ready products.
Required Skills & Experience
5+ years of software engineering experience with full-stack application development.
Strong experience with Node.js and/or Java.
Experience building enterprise-grade backend services and APIs.
Hands-on experience with AWS cloud services.
Strong database experience, including relational database design and SQL development.
Experience integrating APIs, data platforms, and external services.
Understanding of scalable application architecture and distributed systems.
Familiarity with CI/CD pipelines and modern software development practices.
Strong problem-solving, debugging, and analytical skills.
Your Impact
Design, develop, and maintain scalable front-end and back-end applications supporting AI-driven products.
Build intuitive user interfaces and backend services that enable AI-powered workflows and experiences.
Integrate AI services, third-party APIs, and data pipelines into enterprise applications.
Develop secure, reliable, and high-performing cloud-native solutions.
Collaborate with product managers, architects, data engineers, AI/ML teams, and business stakeholders to deliver production-ready AI solutions.
Support the deployment, monitoring, and continuous improvement of AI-enabled applications.
Contribute to application architecture, code quality, testing, and DevOps best practices.
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