Tech jobs
Job listings
Hybrid Junior Full-Stack Engineer (Generative AI)
Builds AI-powered web apps as a junior full-stack engineer, learning enterprise software dev with mentorship while working with LLMs, cloud platforms, and modern frontend/backend tech.
Senior Oracle Cloud Apps Developer - AI & DevOps
Develops and configures Oracle Cloud SaaS applications, integrates REST APIs, and applies DevOps practices within an AI-focused team.
Senior Full-Stack Engineer & Offshore GenAI Team Lead
Leads an offshore team to build scalable backend services and GenAI features using Java/Spring Boot, Python, React/Angular, Kubernetes, and Kafka.
Senior Full Stack Engineer (React / GenAI)
Build and scale a GenAI application using React/TypeScript frontend, Python backend, and AWS services like Bedrock and OpenSearch, integrating RAG and AI agents.
GenAI Full-Stack Engineer: Java Spring Boot & Python
Builds and operates GenAI services using Java Spring Boot, Python web frameworks, and React/Angular, leading offshore teams to deliver production-grade AI solutions.
Senior GenAI Full Stack Engineer
Build and deploy full-stack generative AI applications using LLMs, vector databases, and modern frontend/backend stacks to deliver AI-powered features for enterprise clients.
Senior Fullstack Architect: GenAI, AWS Serverless, Flexible
Lead design and development of web apps using Generative AI, React/TypeScript frontend, NodeJS/Python backend, and AWS serverless infrastructure.
Full Stack Engineer (Java & Python AI)
Build and lead AI-powered services using Java Spring Boot and Python (Flask/FastAPI/Django), React/Angular frontends, and GenAI patterns like RAG and agentic systems.
Junior Full-Stack Engineer
Build and maintain enterprise-grade, AI-enabled web apps using React/TypeScript, NodeJS or Python, and integrate LLMs into real-world systems under mentorship.
Senior Full Stack Engineer (Multiplatform Front End Development React)
Leads end-to-end development of a GenAI application, making architectural decisions and mentoring a team to improve production engineering practices. Works with React/TypeScript, Python, and AWS services like ECS, Bedrock, and DynamoDB.
LLM Full Stack Engineer
Build and integrate AI-powered applications using LLMs, APIs, and DevOps practices while leading a team to optimize performance and mentor engineers.
Full Stack Engineer
Full Stack Engineer leading an offshore team to build and ship AI features using Spring Boot, Python, React/Angular, and GenAI pipelines with RAG and agentic systems.
Accounting Manager
About Xaira Therapeutics Xaira is an innovative biotech startup focused on leveraging AI to transform drug discovery and development. The company is leading the development of generative AI models to design protein and…
MLOps Engineer / DevOps Engineer
Builds and maintains cloud infrastructure, MLOps pipelines, and AI deployment frameworks for connected kitchen appliances using AWS, Terraform, and Kubernetes.
Senior Software Engineer, Platform Infrastructure
Build and maintain the AWS/Kubernetes platform that powers SmarterDx’s clinical AI revenue-cycle tools, using Terraform, Helm, and Go/Python.
Senior Data Engineer
Designs and builds scalable data pipelines and reusable components using AWS, Spark, and Python to enable data democratization in a Data Mesh architecture.
Software Engineer II
Build and maintain automated validation systems for Windows, including test harnesses, diagnostics, and AI-assisted workflows to improve reliability and reduce failures across hardware and software ecosystems.
Software Engineer
Builds and integrates banking microservices in Java/Spring Boot, implements AML systems with ML, and designs data pipelines on Azure Databricks for Singapore financial clients.
AWs Data Engineer
Senior Data Engineer builds and maintains scalable AWS-based data pipelines and cloud-native platforms, using Python, Spark, and AWS services to process batch and streaming data for business impact.
Senior Data & AI Engineer (Full-Stack DNA Specialist)
Senior engineer leading full-stack AI and data projects, from data architecture and MLOps to GenAI/LLM deployment and prompt engineering in production environments.