You will work with Kubernetes, Docker, FluxCD/ArgoCD, Helm, Terraform, Linux, CI/CD pipelines, and languages like Go, Python, or Java. The Developer Experience team owns and supports source control, build artifact repositories, AI-powered development tools, and other software delivery infrastructure for DRW's engineering community. You will also participate in a business-hours support rotation diagnosing CI workflows and managing central infrastructure.

You will work with Python, Java, Go, React/TypeScript, Apache Kafka, PostgreSQL, Git/GitHub, AWS, and CI/CD pipelines. As part of a client-facing delivery team at a digital engineering company, you will design and build technology-enabled platform solutions.

You will build a new Commercial Management platform from scratch using C#/.NET and React, working with AI-native tools like Claude Code and cloud platforms (Azure, AWS, or GCP). The product gives construction businesses real-time visibility into project performance, commercial risk, and profitability. As a founding engineer, you will help take this product from MVP to a fully commercial SaaS platform.

5+ years of backend engineering experience with Python or Node, building distributed systems and serverless architectures on AWS, and ideally with Solidity. The role is with AryaEdge, a company with multiple open product and engineering roles.

Architect low-latency inference pipelines for multimodal LLMs, TTS, and Vision models using Python, C/C++, PyTorch/JAX, TensorRT/ONNX, and custom CUDA/Triton kernels. Optimize with Speculative Decoding and KV-Cache quantization. Iconic Interactive is a seed-stage AI-native video game studio building intelligent virtual actors that speak, move, and react in real-time.

Fine-tune and distill SLMs (Llama, Mistral) using quantization (GGUF, AWQ) and engines like vLLM, TensorRT-LLM, plus frameworks like Apple MLX and llama.cpp. You will own the model layer for a pre-seed startup building the privacy layer for enterprise AI, shipping production solutions for tier-1 banks.

You will work with Python, FastAPI, TypeScript, React, and GCP to design and build services, data models, and APIs. Electric Twin builds a behavioral simulation platform that creates "digital twins" of populations to help organizations predict human behavior.

You'll build features using Svelte/TypeScript on the front end and Python (FastAPI/Django) on the back end, with AWS infrastructure. Tab is a profitable London travel fintech processing real-time payments in 100+ currencies for over 100,000 independent tourism businesses globally.

You'll work hands-on with Snowflake (including Cortex), dbt, SQL, connector-led ELT tools, Power BI, Sigma, and LLM-based extraction, building a medallion architecture. The role is at a global commercial insurance group re-engineering its tech division to unify data from roughly forty acquired companies into one governed platform. You'll lead a small internal team that is set to grow, reporting directly to the Group CTO.

Founding AI Research Scientist role at Blue Wolf Digital: design, train, and fine-tune custom deep-learning models and proprietary LLMs using PyTorch, owning pipelines end-to-end. The company builds frontier AI for governments, national security, and private organizations, and as the founding hire you'll set research strategy with the CEO, then hire and lead the research team.

You'll work with LLMs, chain-of-thought prompting, RAG architectures, multi-agent tool use, Python, and FastAPI. Electric Twin builds synthetic populations for behavioral prediction, simulating human responses for global brands using LLMs.

You’ll build multi-agent systems and LLM pipelines using Python, LangGraph, CrewAI/agent SDKs, and models like GPT, Claude, and Perplexity, on AWS Bedrock, ECS Fargate, Lambda, and Step Functions, with RAG and MCP servers. The role supports AMPLIFYR.ai’s production brand analytics platform, delivering market-positioning insights through multi-agent research workflows.

You will develop and deploy production-grade LLM-powered agentic systems with persistent memory, tool orchestration, and RAG pipelines, integrating with Google Ads, Meta, and CRMs. You will build autonomous agents for marketing operations at a Series A startup building an AI-native teammate for marketing teams. As the second ML hire, you will shape the production stack and product roadmap.

Work with Angular 19, FastAPI, Python, and Kubernetes. Join a 13-person team shipping high-impact features like product launches and partner integrations for Urban Jungle's insurtech platform serving 300,000+ customers.

You'll build Python backends, React frontends, and core ML systems for an AI-driven vulnerability management platform that prioritizes cybersecurity threats using attacker logic. You will own model training, evaluation pipelines, and agentic AI features.

You will work with TypeScript, JavaScript, gRPC, Redux, React Native, React, Next.js, and infrastructure like Google Cloud Platform, Kubernetes, and Docker. The role focuses on building new features and integrations for Emma’s mobile and web apps, which help users manage all their finances.

Manage a team of Data Engineers building scalable data pipelines and cloud-based data platforms using Python, SQL, and Azure/AWS/GCP. You will design robust ETL/ELT processes, data models, and warehouses, enforcing CI/CD and Git best practices.

Design, develop, and implement enterprise-scale data solutions using Snowflake, Python, PySpark, AWS, and Airflow. The role focuses on building scalable, high-performance data platforms and provides technical leadership.

Design, develop, and optimize data pipelines and models using Snowflake, writing complex SQL/PL SQL, with Python, PySpark, and Airflow for ingestion, transformation, and orchestration. Implement scalable cloud data solutions on AWS for enterprise analytics and data warehousing.

The role involves building and maintaining the company’s platforms,

Work with SAP Hybris (SAP Commerce Cloud), Java, Spring Framework, REST APIs, SQL, relational databases, Git, CI/CD, and Agile. Develop and enhance ecommerce platforms for retail clients.

As a Senior Fullstack Engineer, you will use Python and React.js to design and build robust web applications and backend services. You will work within a consulting team at Parser, a firm that helps global organisations with digital transformation, product development and AI enablement.

You'll work with C#, .NET, and Angular as a Lead Full Stack Engineer at an ambitious fintech startup. You'll shape technology and architecture, mentor engineers, and drive the engineering team's growth during an exciting expansion phase.

Lead Full Stack Engineer will work with C#, .Net, and Angular. The role is for an ambitious fintech startup entering a growth phase, where they will influence architecture and mentor engineers. The listing does not specify team size.

Work with Salesforce Lightning, Apex, SOQL, JavaScript, and the Force.com platform, alongside object-oriented programming (Java or C#). Use Git, Jira, IntelliJ, and CI/CD practices, with exposure to Salesforce REST APIs. No specific team or project details are provided.