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Designs and prototypes cutting-edge fraud-detection and governance systems using AI/ML and cloud platforms to incubate new Twilio products.
Design and lead Twilio’s next-gen conversational AI systems, setting the technical vision for ML/AI Ops and transitioning cutting-edge research into production-grade, responsible AI services at scale.
Build and maintain Twilio’s Android Voice and Video SDKs using Java/Kotlin, C++, and WebRTC to power real-time communication features for thousands of customers.
Adastra is hiring a contract Lead AWS Data Engineer (3 months, hybrid 3 days onsite in NYC or Toronto) to build secure, scalable AWS data lake solutions for a global institutional investment client. Core stack: Lake Formation, Glue, Athena, Apache Iceberg, Python/PySpark, SQL, and Terraform.
Senior AI Business Analyst at Banyan Software drives AI and data initiatives to modernize M&A workflows, building tools that enhance deal screening, diligence, and decision-making using Python, SQL, and BI tools.
Senior AI Business Analyst embedded in finance to identify, build, and deploy AI tools that automate close, forecasting, tax compliance, and treasury workflows across 100+ portfolio companies.
Build and ship AI-powered healthcare features for an EHR platform, coding LLM integrations and RAG pipelines while shaping product strategy and engaging clients.
Principal Software Engineer at Twilio designs, builds, and scales cloud-based communication platforms using AI and distributed systems to empower developers globally.
Backend-heavy senior full-stack role owning Python/FastAPI APIs, PostgreSQL data modelling, AI/LLM integrations, Airflow data pipelines, and AWS infrastructure for an Israeli AI startup that analyzes books and manuscripts for the publishing industry; occasional work on the existing React/Material UI frontend.
This role involves building an enterprise Retrieval-Augmented Generation (RAG) platform using Go and Python. The engineer will work on end-to-end full-stack development, integrating AI models and collaborating with NVIDIA to deliver scalable data retrieval solutions.
Guide customers through implementing an AI-powered proposal platform, configuring it to their workflows, and training teams to use it effectively for competitive bids.
A program manager role at Google's AI and Infrastructure team, driving governance and execution of long-term supply chain contracts. Day to day: building governance frameworks, tracking agreement milestones and clauses, coordinating legal and sourcing workflows, mitigating supply risks, and creating executive dashboards for spend approvals and leadership syncs.
Design and deploy ML systems, including GenAI solutions, for global clients in a remote-first consultancy. Lead projects, mentor juniors, and optimize models using Python, PyTorch, and AWS.
Design and deploy ML systems (classical, deep learning, and GenAI) for clients in climate, healthcare, and education, using Python, PyTorch, and AWS.
Fullstack engineer building core features of an enterprise AI and data platform — spanning data preparation, ML/LLM integrations, visualization, MLOps, and AI governance. Work spans backend (Java, Python) and frontend (Angular, React), plus Kubernetes, Spark, and cloud platforms. Junior to senior candidates welcome; based in Spain.
A hands-on, customer-facing engineering role at an Industrial AI startup: the Forward Deployed Engineer works directly with factory customers to discover use cases, integrate industrial data (PLCs, OPC UA, SCADA, MES, ERP), and build and deploy AI agents and workflows, primarily with Python and APIs. Based in Munich with regular travel to customer sites.
Build and optimize large-scale data pipelines for multimodal AI training data (video, audio, text) to power real-time, emotionally intelligent avatars.
Builds and evolves a quantum execution platform by designing quantum algorithms, optimizing backend integrations, and improving the execution system for scalable quantum simulations.
Build and ship deep-learning computer-vision models for AI-powered recycling robots, from research to production in PyTorch.
AI Research Engineer at Prolific AI Research (PAIR) leads independent research on LLM/agent evaluation grounded in human data, alignment techniques, and synthetic data generation, building scalable evaluation frameworks and tooling while publishing papers. Requires 5+ years of AI/ML-focused engineering experience and deep knowledge of LLM evaluation, fine-tuning, and optimization.
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