Design, build, and maintain end-to-end product features across frontend, backend, and AI services
Develop AI-powered capabilities such as recommendations, automation, summarization, classification, or decision support
Integrate LLMs and ML models into production systems with attention to performance, reliability, and cost
Build and consume well-designed APIs and services that support scalable AI workflows
Collaborate closely with Product Managers, Designers, and Data/ML partners to translate business problems into technical solutions
Ensure high code quality through testing, reviews, and adherence to engineering best practices
Debug and resolve complex issues across the stack, including data, model behavior, and user experience
Contribute to improving engineering standards, tooling, and developer experience within the team

Requirements

5–8 years of professional software engineering experience
Strong experience in full stack development, with depth in both: Frontend: React, TypeScript, modern UI frameworks, or Backend: Java, Python, Node.js, REST/gRPC, distributed systems
Solid understanding of system design, data models, and API contracts
Experience working with cloud platforms (AWS, GCP, or Azure)
Hands-on experience integrating AI/ML models into production applications
Practical experience with LLMs (e.g., prompt engineering, RAG patterns, evaluation, cost/performance tradeoffs)
Familiarity with ML concepts such as embeddings, classification, ranking, or prediction (deep research background not required)
Experience working with data pipelines, feature stores, or vector databases is a plus
Product-oriented mindset focused on user impact, not just technical elegance
Comfortable operating in ambiguous problem spaces and iterating toward solutions
Strong communication skills and ability to work effectively in cross-functional teams
Willingness to learn and adapt as AI technologies and product needs evolve

Benefits

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Applicant Tracking System Keywords

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Hard Skills & Tools

full stack developmentReactTypeScriptJavaPythonNode.jsRESTgRPCAI/ML integrationsystem design

Soft Skills

communication skillscollaborationproblem-solvingadaptabilityproduct-oriented mindsetuser impact focusdebuggingengineering standards improvementcross-functional teamworkiterative solution development