401 to 425 of 1,229 Permanent Open Source Jobs

data architect (only when needed) with programme languages like Java, Scala, Python, or architecture-as-code such as linkml, turtle, owl Experience with both open source and vendor data platforms Experience with data architecture, architectural concepts, methodologies and approaches Experience with microservices architecture Experience of designing for both ...

regulated workloads. Experience with data‐intensive systems such as Spark, Databricks, or Data Mesh. Programming experience in Go, Python, or TypeScript. Contributions to open‐source or CNCF community projects. Job Benefits How we work: Hybrid working and the option to work from almost anywhere ...

large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model ...

large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model ...

large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model ...

large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model ...

large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model ...

large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model ...

large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model ...

workflows that make it work in our real codebases, and measure the results honestly. You will use the best available models, coding agents and open-source tools. We are not looking to build models. There is no settled playbook for this. The tools change every few months … maintain the integrations that make AI useful in our environment: repository context and instruction files, CI/CD hooks, review assistants, agent workflows that open draft pull requests, and access to issue trackers, logs and documentation through APIs or MCP. Own the evaluation harness for everything you build: test ...

people with the following attributes: Exceptional ability. Whether in work, school, side projects, or elsewhere, you will have demonstrated exceptional ability. We are open minded about the exact form this takes. You have played a key role in an early stage startup You have won hackathons, math, or physics … competitions You have an impressive side project, like a popular blog or open source library. Excellent communication. In speech and writing. Conscientiousness. You want to do good work, regardless of oversight. You are excited to have freedom to work without too much process and friction ...

work fits your skills and interest, as it will be a starting point of related systems to develop. Apply WITH your solution package, including source codes and any necessary README fileson build, install, test and use of your package. Design and implement an efficient program in C/C++ … complicated packages, such as QUIC. The program should: 1) Use UDP for data transfer; 2) Use BBR (V3) for congestion control, write your own source code instead of turning on BBR flag in kernel; 3) Work without requiring changes on either machine's router or firewall configuration. ...

provide for the security and integrity of your Personal Data. We are committed to Processing your Personal Data fairly and lawfully, and being open and transparent about such Processing. For further information on how we process your data, please see the privacy notice for applicants here. … Group’s business is powered by sophisticated technology with AI accelerating the next generation of transformation. Our technology stack is built on modern open-source components, both enabling day-to-day research and development, and supporting our 24hr trading. With adoption of AI-agents we are investing ...

your business unit Share knowledge and build enthusiasm for sharing via activities like brown bags, cooperative workshops, chat discussions and other means Encourage open discussion and drive communities in our primary communication tools Have a mindset for growth and learning, looking for emerging technologies, tools and good practice Help … interfaces and use MacBook Pros. For front‐end development, we value a robust understanding of the underlying web technologies. We value well‐maintained, open‐source tools that can be used to produce semantic HTML , performant CSS and unobtrusive JavaScript with Express.js and TypeScript, and we assess ...

large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model … others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields ...

large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model … others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields ...

processing and streaming technologies like Apache Kafka or Azure Event Hubs Knowledge of data visualization tools, such as Power BI or Tableau Contributions to open-source projects or active participation in the data engineering community #J-18808-Ljbffr ...

data persistence (RDS, Aurora, DynamoDB) and caching at scale. Experience in fintech, payments, or POS domains, including PCI-DSS compliance. Active contribution to open-source or cloud-native communities. #J-18808-Ljbffr ...

integration standards: vendor-agnostic architecture by default, fallback routing and cost governance as standard design practice across providers including OpenAI, Anthropic, Vertex AI, and open-source models Own LLMOps at programme scale: eval strategy, prompt governance, observability tooling standards, safety monitoring and cost controls across multiple concurrent systems ...

data engineers, and business stakeholders to align AI solutions with business requirements. Research & Stakeholder Collaboration o Monitor developments in Generative AI, machine learning, and open-source technologies. o Present technical findings, prototypes, and recommendations to stakeholders. o Document AI solutions, architectural decisions, and implementation approaches. o Support workshops ...

hands‐on in the field, keeping software, communications, and logging working throughout operations. Required skills: 3+ years building and shipping production software, through work, open‐source, or your own projects. A CS or software‐engineering degree, or equivalent practical experience. Strong full‐stack web development. Python ...

Architect, Data Engineer, Machine Learning Engineer). Comfortable contributing to pre‐sales, recruitment, and wider technical communities through activities such as speaking, writing or open‐source work. Reply is an Equal Opportunities Employer and committed to embracing diversity in the workplace. We provide equal employment opportunities ...

Deep knowledge of Kubernetes, infrastructure-as-code, or multi-cloud architecture at production scale Exposure to production systems with demanding reliability/security requirements Open-source contributions, ambitious personal projects, or other proof of ability outside formal employment (you are welcome to provide links) High-impact work ...

Skills and Experience Experience in the following areas would be advantageous: Containerisation technologies, including Docker. Microservices architectures and distributed applications. Extending, maintaining or improving open-source software. Automated testing frameworks, such as Selenium. Improving system reliability through infrastructure automation and software-led operational practices. Identifying and evaluating emerging ...

strategy, vector search, context window engineering and tuning against real quality targets Integrate and abstract across multiple LLM providers — OpenAI, Anthropic, Vertex AI, and open-source models — with fallback routing, token, cost, and latency management Implement LLMOps in production: eval harnesses with real quality metrics, prompt versioning, observability ...