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Overview PDF Solutions is redefining the way the semiconductor industry approaches data, analytics, and experience design. As part of our journey, we’re building Next gen platform — a modern, human‑centered analytics…
Graduate software engineer building and maintaining a global platform that provisions and runs open-source databases and streaming systems like Cassandra, Kafka, and PostgreSQL.
Senior full-stack engineer building end-to-end features for a B2B government-relations SaaS platform using Kotlin/Spring Boot backend, React/TypeScript frontend, and AWS infrastructure.
Build and run hybrid-cloud and on-premises infrastructure for quantum computing services, automating CI/CD pipelines and monitoring high-performance systems.
Build and deploy AI-powered solutions on AWS for a fintech company, focusing on generative AI, agentic AI, and document intelligence using services like Bedrock, Lambda, and OpenSearch.
We are looking for an experienced Software Engineer with a strong background and a passion for Generative AI to join our growing technology team in our GenAI team. In this role, you will be instrumental in building a…
Build and operate an internal AI platform that automates developer workflows, deploys LLM tools, and integrates AWS Bedrock and agentic frameworks to accelerate quantum-computing tooling.
Lead a backend/platform engineering team building scalable APIs and services for SentiLink’s identity-verification systems using Golang, Python, and AWS.
Build and scale backend services in Python for Fresco’s AI-powered IoT kitchen platform, handling device control, recipes, and cloud integrations on AWS Lambda.
Design and deliver AI-ready data platforms, ML pipelines, and GenAI-specific data flows for clients using cloud ecosystems like AWS, Azure, and GCP.
Backend Engineer building scalable AI orchestration frameworks, RAG systems, and cloud-native AI services using Python, PostgreSQL, and vector databases to power enterprise-grade generative AI applications.
Design and build AI-ready data platforms and ML pipelines for analytics, GenAI, and RAG systems on AWS/Azure/GCP, ensuring production-grade delivery and MLOps practices.
Build and maintain high-volume, low-latency ingestion and retrieval services for Abnormal’s AI-native security platform, ensuring reliable, scalable, and security-critical data handling across global cloud infrastructure.
Build and maintain AI-powered data pipelines for clinical and sensor data, integrating with cloud platforms and AI algorithms to support healthcare analytics.
Build and maintain CI/CD pipelines, Kubernetes clusters, and cloud infrastructure for a global IT services firm, automating deployments and monitoring systems on AWS.
Build and maintain CI/CD pipelines, Kubernetes clusters, and cloud infrastructure for a global IT services firm using AWS, Docker, and IaC tools.
Build and maintain CI/CD pipelines, Kubernetes clusters, and cloud infrastructure on AWS to automate deployments and ensure system reliability.
Own and evolve Menlo Cloud, a hybrid Kubernetes platform powering robotics R&D, inference serving, and agentic coding—designing networking, CI/CD, observability, and GPU orchestration at scale.
Build and lead a GenAI platform and AI agents for healthcare, enabling rapid development and deployment of medical assistant agents that millions of physicians will use.
Build and maintain the data pipelines and retrieval layer that power Mirai’s Generative AI products on AWS, including vector stores, embeddings, and governed datasets.
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