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PLAY, GROW and WIN To be a part of Virtuos means to be a creator. At Virtuos, we harness the latest technologies to make games better and more immersive than ever before. That is why we pride ourselves in constantly…
Build and deploy computer vision models for power grid infrastructure analytics—defect detection, thermal anomalies, vegetation monitoring—using PyTorch, Python, and modern deep learning, bridging research papers to production systems.
Senior Python developer builds and extends front-end client solutions for brand websites using Python, FastAPI, and Angular, supporting a modern IPO process platform.
Senior Data Scientist focused on AI Quality & Evaluation, building evaluation frameworks, golden datasets, and LLM-as-a-Judge systems for a healthcare voice-AI company using Python, NLP, and speech technologies.
Build the AI intelligence layer (EMMA orchestration system) for Niural's payroll/HR platform, shipping production LLM features including agent workflows, RAG pipelines, and document extraction on payroll and compliance data using Python.
Build and maintain backend services for an LLM gateway (routing, rate limiting, key management, observability) and support Kubernetes-based platform services, using Go, Rust, or async Python with Envoy, gRPC, and OpenTelemetry.
About UpDoc At UpDoc , we are building the first clinically validated, physician-supervised AI agent that manages chronic diseases. We are an early-stage startup founded by Stanford physicians. We are seeking a…
Architect and build production-grade GenAI systems including RAG pipelines, LLM integrations, and agentic applications using Python, FastAPI, vector databases, and cloud platforms (AWS/Azure) at a data analytics scale-up.
Build and deploy agentic AI systems for rare disease research, designing multi-turn LLM workflows that validate structured outputs and log decisions for review by clinicians and researchers.
Build and operate ELT pipelines and a unified healthcare data ontology on AWS/Snowflake, using Python, SQL, and orchestration tools like Prefect or Airflow.
This Staff Full-stack Product Engineer role focuses on building AI-native growth features and agentic workflows to improve user onboarding, retention, and monetization. The role involves shaping the architectural layer for AI agents using a stack including Python, Kotlin, TypeScript, React, and various cloud infrastructure tools.
Builds and maintains internal AI agent safety systems, evaluation frameworks, and governance controls to ensure secure, reliable, and deterministic AI workflows for Kraken’s energy-tech platforms.
Location: Middle East and North Africa Job Overview As a Full-Stack Engineer within our Product Development team, you will help build and evolve the web applications and service layers that sit on top of our real-time…
This role involves migrating the company's frontend to a new AI-ready component system, Spark UI, while designing agent workflows and optimizing the codebase for AI agents. The engineer will work with React, TypeScript, and GraphQL to build scalable, product-focused interfaces in an AI-first development environment.
The Machine Learning Engineer will design, build, and maintain production-grade LLM agents and machine learning systems to transform unstructured enterprise content into structured metadata. The role involves developing data pipelines, agentic workflows, and monitoring model performance within an AI-first content management platform.
The Senior Backend Engineer will build and scale the core AI infrastructure for an AI-driven video production platform using Python, FastAPI, and Google Cloud. The role involves designing multi-agent AI workflows, managing backend services, and ensuring system performance and reliability.
The Forward Deployed AI Engineer builds and deploys AI-powered workflows and intelligence platforms into secure, air-gapped customer environments. The role involves hands-on development using Python, LLMs, RAG, and containerization technologies to turn satellite data into mission-critical tools.
Backend Lead Key Responsibilities Own the backend of the platform end to end — the clinical record, orders, laboratory and radiology, billing and insurance, pharmacy and stock, and the services that hold them together…
The Senior Data Scientist will lead complex data science engagements, combining traditional statistical modeling with Generative AI and LLM techniques. The role involves hands-on development, client communication with C-level stakeholders, and technical leadership of junior team members.
A Lead Data Infrastructure Engineer at Stellic owns the design and operation of the company's data platform, building scalable data pipelines and customer-facing data systems to support student education insights and scale, using technologies like dbt, Airflow, S3, and Redshift.
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