ai platform engineer

Amgen

<div>We are seeking a highly motivated and skilled Associate Software Engineer to join our AI Platform team. This role is ideal for someone passionate about building scalable, reliable, and high-performance AI infrastructure and services. You will work closely with machine learning engineers, data scientists, and platform architects to design and implement core components of our AI/ML platform, enabling seamless development, deployment, and monitoring of AI models across the enterprise.
You will contribute to the development of reusable platform components, automation of ML workflows, and integration of AI capabilities into production systems. This is a hands-on engineering role requiring strong software development skills, cloud-native architecture experience,
Roles &amp; Responsibilities:<ul><li>
Design, develop, and maintain core components of the AI/ML platform including model training pipelines, deployment services, and monitoring tools.</li><li>
Collaborate with ML engineers and data scientists to understand requirements and translate them into scalable platform features.</li><li>
Implement automation for model lifecycle management including versioning, testing, deployment, and rollback.</li><li>
Develop reusable libraries and APIs to support AI/ML workflows and integrations.</li><li>
Ensure platform reliability, scalability, and performance through rigorous testing and monitoring.</li><li>
Support integration of security, compliance, and governance features into the AI platform.</li><li>
Participate in sprint planning, provide technical estimates, and contribute to architectural decisions.</li><li>
Continuously improve platform capabilities by evaluating and integrating emerging technologies.</li></ul>
Must-Have Skills:<ul><li>
Strong programming skills in Python, or Java.</li><li>
Experience building distributed systems and microservices.</li><li>
Familiarity with MLOps tools and frameworks (e.g., MLflow, Kubeflow, Airflow).</li><li>
Experience with containerization and orchestration (Docker, Kubernetes).</li><li>
Solid understanding of CI/CD pipelines and DevOps practices.</li><li>
Experience with cloud platforms (AWS, GCP, Azure) and cloud-native services.</li><li>
Understanding AI/ML lifecycle and model deployment best practices.</li><li>
Ability to learn quickly, be organized and detail oriented.</li></ul>
Good-to-Have Skills:<ul><li>
Experience with big data tools (Spark, Hadoop) and data pipeline development.</li><li>
Familiarity with model monitoring and observability tools.</li><li>
Knowledge of security principles and compliance in AI systems.</li><li>
Experience with infrastructure-as-code tools (Terraform, CloudFormation).</li><li>
Exposure to GenAI technologies and frameworks (e.g., LangChain, Vector DBs).</li></ul>
Education and Professional Certifications:<ul><li>
Bachelor&rsquo;s degree in Computer Science, Engineering, or related field.</li><li>
2&ndash;5 years of experience in software engineering, preferably in AI/ML platform development.</li><li>
Certifications in cloud platforms or AI/ML technologies are a plus (e.g., AWS AI, Azure AI Engineer, Google Cloud ML).</li></ul>
Soft Skills:<ul><li>
Excellent analytical and troubleshooting skills.</li><li>
Strong verbal and written communication skills.</li><li>
Ability to work effectively with global, virtual teams.</li><li>
High degree of initiative and self-motivation.</li><li>
Ability to manage multiple priorities successfully.</li><li>
Team-oriented, with a focus on achieving team goals.</li><li>
Strong presentation and public speaking skills.</li></ul></div>

Associate Software Engineer

The Utopia Studio

<div>
 The Studio is part of Utopia Capital&rsquo;s integrated venture platform &mdash; combining AI-native venture building, capital, and shared infrastructure to help founders build faster and smarter. Every role here directly contributes to launching and scaling AI-native companies across the Global South, from idea to Series A.
 
 
 
 About The Studio
 
 
 
 Utopia Studio is an AI-native venture builder for the Global South, backed by Qatar Development Bank. We work with domain experts across the GCC, Southeast Asia, and Africa to accelerate venture creation through AI-driven execution and shared infrastructure.
 
 
 At the core is Utopia OS &mdash; a modular platform that automates what's repeatable, embeds AI agents across workflows, and lets learning compound across ventures.
 
 
 
 About The Role
 
 
 
 We're looking for a founding product engineer to build the platform and infrastructure side of Utopia OS. You&rsquo;ll design, develop, and scale the shared systems, data pipelines, and full-stack applications that power dozens of AI-native ventures launching from Doha for the Global South.
 
 
 You&rsquo;ll combine deep backend expertise with the ability to deliver seamless, data-driven web experiences that make AI-native venture building faster and smarter.
 
 
 You will work as part of a product trio with the Design Lead and the Rapid Prototyping Engineer, making joint decisions on discovery, scope, and technical approach.
 
 
 
 Reports to:
 
 Studio Director
 
 
 
 Growth path:
 
 Head of AI Platform / CTO track
 
 
 
 Responsibilities
 
 
 
 
 Platform Engineering &amp; Infrastructure
 
 
 
 <ul>
 <li>
 Architect, build, and maintain Utopia OS infrastructure: auth, data systems, deployment, monitoring, analytics
 </li>
 <li>
 Develop full-stack web apps and plugins for studio-wide decisioning and analytics
 </li>
 <li>
 Build and maintain data pipelines for ingestion, transformation, and deployment across all ventures
 </li>
 <li>
 Develop and maintain robust backend systems and APIs, integrating modern databases (Postgres, Supabase, PlanetScale) and data architectures (Iceberg, Delta Lake).
 </li>
 <li>
 Implement data pipelines and transformation workflows (Dagster, Airflow) to enable real-time analytics across ventures.
 </li>
 <li>
 Create clear, reusable documentation and internal tooling to standardize engineering practices across the platform.
 </li>
 <li>
 Take early-stage products and harden them for scale, reliability, and compliance.
 </li>
 <li>
 Collaborate with design and product teams to translate data and infrastructure capabilities into intuitive user experiences and venture-facing tools.
 </li>
 <li>
 Implement CI/CD, observability, and security frameworks across the portfolio
 </li>
 <li>
 Design deployment templates for multi-tenant environments and enterprise integrations
 
 
 </li>
 </ul>
 
 Collaboration &amp; Engineering Excellence
 
 
 
 <ul>
 <li>
 Work closely with venture teams to integrate AI workflows and shared infrastructure
 </li>
 <li>
 Improve developer experience through modern, intuitive tool design
 </li>
 <li>
 Provide technical guidance and mentorship to engineers and fellows &mdash; fostering a culture of learning, experimentation, and shared standards across the Studio.
 </li>
 <li>
 Document architecture, standards, and playbooks so they can be reused across the studio
 </li>
 <li>
 Communicate complex technical concepts clearly to both engineering and non-technical stakeholders &mdash; turning systems thinking into shared understanding.
 </li>
 <li>
 Stay current with advances in generative AI, data infrastructure, and modern web engineering
 </li>
 <li>
 Work in a tight loop with the Design Lead on design system needs and with the Rapid Prototyping Engineer to productionize validated prototypes into secure, scalable services.
 </li>
 <li>
 Co-own technical discovery with the product trio: define evaluation plans, success metrics, and risks before committing to builds.
 </li>
 <li>
 You&rsquo;ll also help the team build shared capabilities typically owned by dedicated functions &mdash; like LLMOps, Data Engineering, and Security &mdash; but in a lean, integrated way.
 </li>
 <li>
 That means establishing lightweight evaluation pipelines, data ingestion templates, and security practices that can scale across multiple ventures without extra overhead.
 </li>
 <li>
 These foundations will later evolve into formalized systems as Utopia grows.
 </li>
 <li>
 We operate as a compact, AI-native core team &mdash; covering product, design, and engineering end-to-end.
 </li>
 <li>
 Each of us contributes to early foundations in areas like evaluation, data, research, and security, ensuring the platform scales responsibly without added layers or headcount.
 
 
 </li>
 </ul>
 
 Experience &amp; Skills
 
 
 
 <ul>
 <li>
 Bachelor's or Master's in Computer Science, Software Engineering, or related field
 </li>
 <li>
 4&ndash;8 years in full-stack and backend development (startup or AI context preferred)
 </li>
 <li>
 Strong with modern frameworks (React, Vue, Angular, Next.js, SvelteKit) and backend systems (Postgres, Supabase, PlanetScale)
 </li>
 <li>
 Experience with data pipelines (Dagster, Airflow) and modern data lakes (Iceberg, Delta Lake)
 </li>
 <li>
 Experience designing data-driven applications &mdash; integrating analytics and visualization into user-facing tools.
 </li>
 <li>
 Comfortable with cloud platforms (AWS/GCP/Azure), Docker, Kubernetes, and CI/CD pipelines
 </li>
 <li>
 Strong documentation and communication skills &mdash; you can explain complex systems clearly
 
 
 </li>
 </ul>
 
 Technical Foundations
 
 
 
 <ul>
 <li>
 Strong in full-stack development, with expertise in at least one modern front-end framework (React, Svelte, Vue, Angular, or Next.js)
 </li>
 <li>
 Experienced with backend systems, data pipelines, and cloud infrastructure (Postgres, Supabase, AWS, Docker, Kubernetes)
 </li>
 <li>
 Comfortable developing and deploying in hybrid environments, with CI/CD, monitoring, and observability best practices
 </li>
 <li>
 Familiar with data lake architectures (Delta Lake, Iceberg) and workflow orchestration tools (Airflow, Dagster)
 
 
 </li>
 </ul>
 
 Impact &amp; Success Metrics
 
 
 
 <ul>
 <li>
 Accelerate venture build cycles through reusable systems and faster deployment
 </li>
 <li>
 Improve infrastructure reliability and security across ventures
 </li>
 <li>
 Reduce duplication and increase code reuse across the Studio platform
 </li>
 <li>
 Enable measurable improvements in venture launch speed, uptime, and developer experience
 
 
 </li>
 </ul>
 
 Mindset &amp; Values
 
 
 
 <ul>
 <li>
 Systems + Empathy: You balance deep backend expertise with product intuition and user empathy.
 </li>
 <li>
 AI as collaborator: You build infrastructure that learns, adapts, and improves through automation and AI augmentation.
 </li>
 <li>
 Outcome focus: You optimize for speed, reliability, and measurable business value across all ventures.
 </li>
 <li>
 Continuous learning: You're always exploring new frameworks, architectures, and AI tools that make engineering smarter and more efficient.
 
 
 </li>
 </ul>
 
 What You Can Expect
 
 
 
 <ul>
 <li>
 Meaningful Impact: Your work directly contributes to building the core infrastructure behind a new generation of ventures - enabling equitable, AI-native innovation across the Global South.
 </li>
 <li>
 Collaborative Culture: We thrive on openness, curiosity, and collective intelligence. Everyone has a voice, and decisions are made transparently.
 </li>
 <li>
 Growth Mindset: From AI learning and use budgets to mentorship, we invest in your development and help you grow beyond your comfort zone.
 </li>
 <li>
 Competitive Rewards: Tax-free compensation, private health and travel insurance, and a benefits package designed for both security and flexibility.
 </li>
 <li>
 Wellbeing First: Generous PTO, flexible hybrid setup, and wellness programs to help you stay balanced.
 </li>
 <li>
 Work-Life Integration: Office lunches twice a week, great snacks, and team meetups that keep energy and connection high.
 </li>
 <li>
 Global Exposure: Occasional travel across Southeast Asia, Africa, and the Middle East for meaningful, on-ground collaboration with venture teams.
 </li>
 <li>
 Inclusive by Design: We celebrate diversity and are committed to building an environment where everyone belongs.
 
 
 </li>
 </ul>
 
 Why This Role Matters
 
 
 
 You'll be building the operating system for AI-native venture creation &mdash; the foundation that founders across the Global South will use to build the next generation of companies.
 
 
 Your work will power Utopia OS and enable innovation aligned with Qatar's Vision 2030 for a digital, knowledge-based economy.
 
 
 Your work will accelerate venture build time and reduce technical duplication across the Studio &mdash; measurable through faster deployment cycles, improved reliability, and reusable systems.
 
 
 
 Who This Role Isn&rsquo;t Right For
 
 
 
 If you prefer working in rigid environments, or need fully defined specs before shipping, this may not be the right fit.
 
 
 We move fast, operate with high trust, and expect engineers to take ownership from architecture through to production.
 
 
 
 The Utopia Platform Advantage
 
 
 
 The Studio is part of Utopia Capital&rsquo;s integrated venture platform designed to solve the biggest friction points in emerging market venture creation.
 
 
 Most founders face a broken journey: they struggle to build with limited resources, chase capital across disconnected investors, and lack the infrastructure to scale across regions. We've built a different system.
 
 
 The Studio co-builds ventures with domain experts using AI-native infrastructure, compressing the path from concept to product. The Radical Fund and A-typical Ventures provide fast, aligned capital from pre-seed through Series A, removing fundraising friction at every stage. And Utopia OS &mdash; our shared technical backbone &mdash; gives every venture access to the same tools, data systems, and regional networks that would normally take years and millions to build.
 
 
 This means founders can focus on solving real problems while we handle the build infrastructure, capital coordination, and cross-regional expansion. It's a compounding system: each venture we build makes the next one faster, smarter, and more capital-efficient. That's the platform advantage that you will be part of and contribute to, purpose-built for the complexity of the Global South.
 
 
 We believe innovation should be inclusive and globally distributed. Our team is built on openness, curiosity, and collaboration &mdash; with people from across the GCC, Africa, and Southeast Asia working together to build meaningful ventures.
 
 
 All roles are based in Doha, Qatar, with flexible hybrid options and global travel opportunities. We welcome talent from every background to join us in shaping the future of AI-native innovation.
 
 
 Compensation Range: $80K - $120K
 
 
</div>

Founding Product Engineer — Venture Platform & Infrastructure

Red Hat

<div><div>Red Hat&rsquo;s Customer Experience &amp; Engagement (CEE) team is looking for a Senior Software Engineer (AI/ML Backend developer) to join our Business Intelligence team.</div><div></div><div>
A Senior Software Engineer for AI/ML Backend at Red Hat is primarily responsible for designing, developing, and deploying scalable AI platforms and applications using open source technologies like Kubernetes and Python. The role often involves working on the Red Hat OpenShift AI platform and contributing to upstream open-source communities.</div><div></div><div>
This role may come into contact with confidential or sensitive customer information requiring special treatment in accordance with Red Hat policies and applicable privacy laws.</div><div></div><div>
At Red Hat, our commitment to open source innovation extends beyond our products - it&rsquo;s embedded in how we work and grow. Red Hatters embrace change &ndash; especially in our fast-moving technological landscape &ndash; and have a strong growth mindset. That's why we encourage our teams to proactively, thoughtfully, and ethically use AI to simplify their workflows, cut complexity, and boost efficiency. This empowers our associates to focus on higher-impact work, creating smart, more innovative solutions that solve our customers' most pressing challenges.</div><div></div><div>
What you will do</div><ul><li><div>
Platform Development: Design, architect, document, and lead the development of AI/ML platform components and agentic AI applications.</div></li><li><div>
Coding &amp; Implementation: Implement and optimize cutting-edge AI/ML algorithms and production-quality code, primarily using Python and possibly Go, C, C++, or Rust.</div></li><li><div>
AI-assisted development: Proactively utilize AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality.</div></li><li><div>
Open Source Contribution: Participate in and contribute to relevant upstream communities such as Kubeflow, vLLM, TGI, and PyTorch, ensuring technologies integrate well with Red Hat products.</div></li><li><div>
Deployment &amp; Operations: Build and deploy container-based applications to platforms like Red Hat OpenShift, public clouds (AWS, GCP, Azure), leveraging CI/CD best practices and MLOps infrastructure.</div></li><li><div>
Collaboration &amp; Mentorship: Work closely with research scientists, data scientists, product teams, and stakeholders. Mentor and guide junior engineers and share knowledge within the team.</div></li><li><div>
Innovation &amp; Troubleshooting: Stay current with advancements in Generative AI and related technologies, conduct root cause analysis, and solve complex problems in a dynamic environment.</div></li></ul><div></div><div>
What you will bring:</div><ul><li><div>
Experience: Typically requires 5+ years of software development experience with a background in computer science or a related technical field.</div></li><li><div>
Programming Languages: Strong proficiency in Python is essential, with experience in frameworks like LangChain, LangGraph, or PyTorch.</div></li><li><div>
Technologies:</div><ul><li><div>
Containerization (Docker, Kubernetes).</div></li><li><div>
Red Hat OpenShift Platform-as-a-Service (PaaS).</div></li><li><div>
Public cloud platforms (AWS, Google Cloud Platform, Azure).</div></li><li><div>
CI/CD pipelines (Jenkins, GitLab).</div></li><li><div>
Model inference runtimes and optimization (vLLM, TGI).</div></li><li><div>
Understanding of web application infrastructure, REST, and HTTP.</div></li></ul></li><li><div>
Soft Skills: Strong problem-solving abilities, excellent written and verbal English communication, and a passion for open-source software and collaboration</div></li></ul><div></div><div>
#LI-SH4</div><div></div><div>
About Red Hat</div><div><div>
Red Hat</div> is the world&rsquo;s leading provider of enterprise<div> open source</div> software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.</div><div></div><div>
Inclusion at Red Hat 
Red Hat&rsquo;s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.</div><div></div><div>
Equal Opportunity Policy (EEO) 
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.</div><div> 
Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.</div><div> 
Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email <div>application-assistance@redhat.com</div>. General inquiries, such as those regarding the status of a job application, will not receive a reply.</div></div>

Senior Software Engineer, AI/ML Backend Developer (Python, Linux)

<div>
 At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we&rsquo;ll give you what you need to make it happen. It won&rsquo;t always be easy, growing takes grit. But at ABB, you&rsquo;ll never run alone. Run what runs the world.
 
 
 This Position reports to:
 
 
 Principal Software Engineer
 
 
 
 
 
 
 
 What We Believe In
 
 
 
 Join us at ABB as we work together with a global team to transform society and industry, promoting a more productive and sustainable future.
 
 
 Our mission at ABB is to promote diversity and inclusion on every front, encompassing gender, sexual orientation, abilities, ethnicity, and generational perspectives. Together, we are embarking on a journey where each one of us, individually and collectively, welcomes and celebrates individual differences.
 
 
 ABB is a prominent global technology firm that facilitates the evolution of society and industry towards a more efficient, sustainable future. ABB has a rich history that spans over 130 years, contributing significantly through the four Industrial Revolutions and continues to shape the path of industry 4.0. By incorporating digital innovations within its electrification, robotics, automation, and motion offerings, ABB transforms technology to enhance performance capabilities significantly.
 
 
 
 Roles &amp; Responsibilities:
 
 
 
 This is a technical Leadership role in Cloud and AI platform, reporting to the Digital Solution Engineering Manager in ABB Ability&trade; Genix - industrial analytics and artificial intelligence Platform in business area Process Automation located in Bangalore. You will be leading the Product delivery team including Platform Services at Ability Innovation Center (AIC), home to the largest technology and engineering pool in ABB globally and is a part of ABB Global Industries and Services Private Limited, a subsidiary of ABB. It is based in Bangalore, the silicon-valley of India. Its unique infrastructure places research, development, engineering, and service teams under one roof, increasing collaboration and reducing time to market, with no compromise on quality.
 
 
 We are looking for a highly proficient Software Engineer to become part of our team, working on the development and improvement of ABB Ability&trade; Genix, particularly in areas like deployment automation, packaging, and essential technical skills. As a Software Engineer, you'll have the chance to connect with an accomplished team of engineers to advance technology initiatives, improve Agile Delivery, and bolster overall team effectiveness.
 
 
 Are you interested in a workplace that combines the aspects of technology, data, domain, and Industrial AI to build innovative analytics solutions for process automation customers? If you prioritize creativity and effective solutions, this could be the right team for you. Become part of ABB and take advantage of our varied global network as you collaborate with and guide our esteemed teams. Most importantly, push yourself each day to reach new heights. Let&rsquo;s write the future together.
 
 
 The work model for the role is: Hybrid
 
 
 
 You will be mainly accountable for:
 
 
 
 <ul>
 <li>
 Build LLM/agent workflows using LangChain, LangGraph, or similar frameworks; develop and refine prompts, conversational flows, and integrations for IIoT use cases; enhance model understanding of industry terminology and real-time data; collaborate with engineering teams and create supporting documentation.
 </li>
 <li>
 Oversee the creation of features associated with LLM frameworks and agent-based workflows; maintain effective communication with interdisciplinary teams; share regular updates on project progress; encourage a culture of collaboration; eliminate technical obstacles; and liaise with external partners.
 </li>
 <li>
 Promote continuous improvement within the team; identify opportunities to optimize Scrum processes; and provide coaching or training on Scrum practices.
 </li>
 <li>
 Align product, engineering, and stakeholder efforts to ensure cohesive delivery, smooth collaboration, and consistent execution across IIoT and AI-driven initiatives.
 
 
 </li>
 </ul>
 
 Qualifications for the role:
 
 
 
 <ul>
 <li>
 Hold a Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or a related technical field, with 3+ years of experience in NLP, machine learning, and chatbot development.
 </li>
 <li>
 Exhibit advanced knowledge of Python, particularly in application development with Flask or FastAPI, and showcase experience in rolling out production-ready systems on Kubernetes.
 </li>
 <li>
 Possess familiarity with IIoT concepts, protocols, and systems, along with the ability to design and implement scalable, secure web and REST API applications.
 </li>
 <li>
 Demonstrate proficiency in machine learning frameworks and programming languages, such as Python, TensorFlow, and PyTorch, along with experience in microservices architecture and asynchronous design methods.
 </li>
 <li>
 Possess practical knowledge of Azure cloud services, such as App Service, Cosmos DB, AKS, Cognitive Datalake, and Azure SQL Server.
 </li>
 <li>
 Be skilled in working with CI/CD pipelines for automated build, test, and deployment processes, ensuring scalable and maintainable software delivery.
 </li>
 <li>
 Exhibit effective communication, documentation, mentoring, and collaboration skills to assist in team development and knowledge exchange.
 
 
 
 </li>
 </ul>
 
 More About Us
 
 
 ABB&rsquo;s Digital business area enables customers to operate some of the world&rsquo;s largest and most complex industrial infrastructures, helping them outrun &ndash; leaner and cleaner.
 
 
 Become a part of our innovative team and advance your career by playing a role in creating impactful Industrial AI and Cloud applications and services that prioritize care.
 
 
 We value people from different backgrounds. Could this be your story? Apply today or visit www.abb.com to read more about us and learn about the impact of our solutions across the globe.
 
 
 
 Fraud Warning:
 
 Any genuine offer from ABB will always be preceded by a formal application and interview process.
 
 
 We never ask for money from job applicants.
 
 
 For current open positions you can visit our career website https://global.abb/group/en/careers and apply.
 
 
 Please refer to detailed recruitment fraud caution notice using the link https://global.abb/group/en/careers/how-to-apply/fraud-warning.
</div>

Software Engineer

EvenUp

<div>EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more.
We are one of the fastest-growing vertical SaaS companies in history, and we are just getting started. EvenUp is backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Learn more at www.evenuplaw.com.<h1 class="jobSectionHeader">
Life as an Engineer at EvenUp
</h1><h1 class="jobSectionHeader">Location &amp; Work Model</h1>
This is a hybrid role, with an expectation of being in our SF office three days per week.<h1 class="jobSectionHeader">
About the Team</h1>
The AI Platform team is responsible for building the foundational systems that make large language models accessible, reliable, and scalable across EvenUp&rsquo;s engineering organization. Sitting at the intersection of backend engineering, ML systems, and platform enablement, this team empowers product and application teams to safely and efficiently leverage LLMs in production. The team has already built and deployed industry-leading legal AI models that extract, structure, and summarize complex documents used by clients every day. Their work directly powers EvenUp&rsquo;s ability to deliver faster, higher-quality outcomes for injury victims&mdash;bringing greater fairness, accessibility, and leverage to an otherwise opaque legal system.
What makes this team unique is its deeply technical, multi-disciplinary collaboration between Data Scientists, ML Researchers, and Software Engineers, all working together to bring AI systems into production at scale. The team is focused on building reliable, production-grade AI platforms&mdash;not one-off experiments&mdash;ensuring that LLM-powered systems are robust, scalable, and safe to operate. By creating shared infrastructure and tooling, the AI Platform team has a high-leverage impact across the entire engineering organization, enabling teams to move faster while maintaining high standards for quality and reliability.<h1 class="jobSectionHeader">
Responsibilities</h1><ul><li>
Own and evolve core backend systems and platforms that enable LLM-powered products at scale</li><li>
Drive the technical direction of complex, high-impact initiatives with significant ambiguity</li><li>
Partner closely with Product, ML, and Infrastructure teams to translate abstract requirements into robust engineering solutions</li><li>
Design and deliver scalable, reliable, and maintainable systems that power production-grade AI applications</li><li>
Raise the technical bar through mentorship, best practices, and architectural leadership</li><li>
Influence long-term platform and infrastructure roadmaps with a focus on scalability, maintainability, and developer velocity</li></ul><h1 class="jobSectionHeader">
What You&rsquo;ll Do</h1><ul><li>
Execution &amp; Delivery: Build, ship, and iterate on backend systems that support production-grade LLM applications. Deliver high-quality, maintainable code using a modern tech stack (e.g., Python, Postgres, Kubernetes, Elasticsearch)</li><li>
Architecture &amp; Quality: Lead the architecture and design of resilient, scalable distributed systems. Establish and uphold best practices around system design, performance, observability, and reliability</li><li>
Cross-Functional Collaboration: Work closely with Product, ML, Data, and Infrastructure teams to scope, design, and deliver impactful solutions. Translate high-level product needs into clear technical plans and execution paths</li><li>
Ownership &amp; Growth: Own projects end-to-end&mdash;from early design through deployment and continuous iteration. Mentor engineers and act as a force multiplier across the organization. Evaluate and introduce new tools and technologies to continuously improve platform capabilities</li></ul><h1 class="jobSectionHeader">
What We Look For</h1><ul><li>
Strong experience building and scaling backend systems, platforms, or infrastructure</li><li>
Proven ability to lead complex technical initiatives across teams or domains</li><li>
Deep understanding of distributed systems, system design, and technical tradeoff analysis</li><li>
High standards for code quality, architecture, and long-term maintainability</li><li>
Proficiency in Python, with experience in additional languages such as NodeJS, Go, Java, or C++</li><li>
Clear, structured communication and the ability to influence cross-functional stakeholders</li><li>
Comfort operating in fast-paced, high-growth, and ambiguous environments</li><li>
A strong sense of ownership, accountability, and technical leadership</li></ul><h1 class="jobSectionHeader">
Bonus (Nice to Have)</h1><ul><li>
Experience working with AI/ML systems or LLM-powered applications</li><li>
Exposure to AI platforms, developer enablement tooling, or ML-heavy environments</li><li>
Background in legal tech, mission-driven products, or social-impact engineering</li><li>
Prior startup or scale-up experience</li></ul>
#LI-Hybrid
Notice to Candidates:
EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team &ndash; please know that we have no affiliation or connection to these situations. We only post open roles on our career page (evenuplaw.com/careers) or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the domains @evenuplaw.com, @evenup.ai, @ext-evenuplaw.com, no-reply@ashbyhq.com or no‑reply@canditech.io email addresses.
To ensure fairness and proper consideration, we do not accept resumes or expressions of interest via email or social media messages. If you&rsquo;re interested in a role, please submit your application directly through our careers page.
If you receive communication from someone you believe is impersonating EvenUp, please report it to us at talent-ops-team@evenuplaw.com. Examples of fraudulent domains include &ldquo;careers-evenuplaw.com&rdquo; and &ldquo;careers-evenuplaws.com&rdquo;.
Benefits &amp; Perks:
As part of our total rewards package, we offer attractive benefits and perks to our employees, including:<ul><li>
Choice of medical, dental, and vision insurance plans for you and your family</li><li>
Additional insurance coverage options for life, accident, or critical illness</li><li>
Flexible paid time off, sick leave, short-term and long-term disability</li><li>
10 US observed holidays, and Canadian statutory holidays by province</li><li>
A home office stipend</li><li>
401(k) for US-based employees and RRSP for Canada-based employees</li><li>
Paid parental leave</li><li>
A local in-person meet-up program</li><li>
Hubs in San Francisco and Toronto</li></ul>
Please note the above benefits &amp; perks are for full-time employees
EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Compensation Range: $114.8K - $317.2K</div>

Staff Software Engineer, Platform

<div>EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more.
We are one of the fastest-growing vertical SaaS companies in history, and we are just getting started. EvenUp is backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Learn more at www.evenuplaw.com.<h1 class="jobSectionHeader">
Life as an Engineer at EvenUp</h1><h1 class="jobSectionHeader"> 

Location &amp; Work Model</h1>
This is a hybrid role, 3x per week at our SF office three days per week.
<h1 class="jobSectionHeader">About the Team</h1>
Join EvenUp&rsquo;s AI Platform team, dedicated to making large language models (LLMs) more accessible, scalable, and impactful across the engineering organization. We build leading LLM-powered systems for the legal industry, transforming how complex legal documents are extracted, summarized, and structured for use by our clients every day.
This role operates at the intersection of backend engineering, LLM integration, and hands-on experimentation. You will collaborate with a multidisciplinary team of Data Scientists, Researchers, and Software Engineers to tackle challenging generative AI problems. Together, we maintain the foundational infrastructure enabling EvenUp&rsquo;s product teams to leverage LLMs safely and efficiently at scale.
This is an excellent opportunity for engineers seeking deep technical ownership, backend system design, and work on innovative platforms that create impact across an entire company&mdash;while contributing to technology that advances fairness and accessibility within the legal system.<h1 class="jobSectionHeader">
Responsibilities</h1><ul><li>
Design, build, and enhance scalable backend systems supporting LLM-driven products and internal platforms</li><li>
Own infrastructure and services for reliable deployment, experimentation, and iteration of AI-powered systems</li><li>
Collaborate with engineering teams to gather requirements and deliver reusable, scalable solutions</li><li>
Influence the technical direction and long-term architecture of EvenUp&rsquo;s AI platform</li><li>
Maintain high standards for reliability, performance, observability, and maintainability</li><li>
Drive projects from early design through deployment, monitoring, and iterative improvement</li></ul><h1 class="jobSectionHeader">
What You&rsquo;ll Do</h1><ul><li>
Backend Systems &amp; Infrastructure: Lead the design, development, and optimization of robust backend systems for deploying LLM-based algorithms and services</li><li>
End-to-End Ownership: Manage projects through their complete lifecycle&mdash;from architecture to deployment, monitoring, and improvement</li><li>
Cross-Team Enablement: Work with other engineering teams to understand use cases and deliver scalable platform solutions</li><li>
Engineering Excellence: Develop high-quality, maintainable code using a modern tech stack (Python, Postgres, Kubernetes, Elasticsearch)</li><li>
Growth &amp; Collaboration: Grow as an engineer working alongside world-class peers on impactful, cutting-edge generative AI projects</li></ul><h1 class="jobSectionHeader">
What We Look For</h1><ul><li>
Extensive experience building frameworks, libraries, and distributed systems with a focus on reliability, observability, and performance</li><li>
Proficiency delivering production-ready code, managing infrastructure, and building RESTful APIs to industry standards</li><li>
Experience owning and delivering complex technical projects</li><li>
Success in startup or high-growth environments valuing speed, collaboration, and ownership</li><li>
Proficiency in Python or other languages (Go, Java, C++)</li><li>
Strong written and verbal communication skills, with proven cross-disciplinary collaboration</li></ul><h1 class="jobSectionHeader">
Bonus (Nice to Have)</h1><ul><li>
Background with AI systems, LLMs, or machine learning infrastructure</li><li>
Experience in legal tech or social impact&ndash;driven products</li><li>
Prior work supporting internal platforms or developer-facing tools</li></ul>
#LI-Hybrid
Notice to Candidates:
EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team &ndash; please know that we have no affiliation or connection to these situations. We only post open roles on our career page (evenuplaw.com/careers) or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the domains @evenuplaw.com, @evenup.ai, @ext-evenuplaw.com, no-reply@ashbyhq.com or no‑reply@canditech.io email addresses.
To ensure fairness and proper consideration, we do not accept resumes or expressions of interest via email or social media messages. If you&rsquo;re interested in a role, please submit your application directly through our careers page.
If you receive communication from someone you believe is impersonating EvenUp, please report it to us at talent-ops-team@evenuplaw.com. Examples of fraudulent domains include &ldquo;careers-evenuplaw.com&rdquo; and &ldquo;careers-evenuplaws.com&rdquo;.
Benefits &amp; Perks:
As part of our total rewards package, we offer attractive benefits and perks to our employees, including:<ul><li>
Choice of medical, dental, and vision insurance plans for you and your family</li><li>
Additional insurance coverage options for life, accident, or critical illness</li><li>
Flexible paid time off, sick leave, short-term and long-term disability</li><li>
10 US observed holidays, and Canadian statutory holidays by province</li><li>
A home office stipend</li><li>
401(k) for US-based employees and RRSP for Canada-based employees</li><li>
Paid parental leave</li><li>
A local in-person meet-up program</li><li>
Hubs in San Francisco and Toronto</li></ul>
Please note the above benefits &amp; perks are for full-time employees
EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Compensation Range: $114.8K - $317.2K</div>

Senior Backend Engineer, Entities

N-iX

India
 
Work type: 
Office/Remote
 
Technical Level: 
Senior
 
Job Category: 
Software Development
 
Project: 
American multinational e-commerce company
 
N-iX is a global software development service company that helps businesses across the world develop successful software products. Founded in 2002, N-iX has come a long way, expanding its presence across Europe, the US, and Latin America. Today, we are a strong community of 2,000+ professionals and a reliable partner for global industry leaders and Fortune 500 companies.
 
Our client is a global commerce leader where you can influence how the world buys, sells, and gives. You’ll be part of a work culture that’s been genuinely committed to diversity and inclusion since its founding over twenty five years ago. Here, you can be yourself, do your best work along with a team of professionals, and have a meaningful impact on people across the globe. We seek people with drive, ideas, and a passion for helping small businesses succeed to help.
 
We are seeking a highly motivated, experienced SRE/MLOps engineer with Python and Ray.io to build and maintain the next generation AI platform. This role focuses on developing software on top of open-source libraries such as Ray, enabling internal teams to run ML workloads efficiently.
 
Responsibilities: 
Build, refactor, and release software for the AI platform (feature development and bug fixes)
 Deploy and manage applications on Ray.io, including workload management, cluster deployment, distributed task scheduling, and troubleshooting
 Use Ray Dashboard and CLI tools to monitor and debug distributed jobs
 Work with Ray ecosystem libraries: Ray Train, Ray Tune, Ray Serve, Ray Data
 Integrate with tools such as Airflow, MLflow, Dask, DeepSpeed (a plus)
 Collaborate with AI platform developers to provide CI/CD pipelines for automated deployment and configuration
 Ensure high availability (target 99.999%) and monitor production systems.
 Develop automation for problem management and operational efficiency
 Write documentation and provide technical support for internal users
 Follow best practices for development: versioning, source control, branching, and merging patterns.
 
Requirements: 
Main coding language: Python (C++ good to have)
 Strong experience with Ray.io, including at least two areas such as Ray Train or Ray Serve
 Kubernetes / Docker: Proficient / Experienced
 Hands-on experience with distributed systems, cluster management, and cloud technologies
 Familiarity with DevOps practices, CI/CD pipelines, and test automation
 Excellent problem-solving, debugging, and triaging skills
 Strong communication skills for collaboration with partners, customers, and engineers
 Ability to manage multiple projects in a fast-paced environment
 TensorRT, DeepSpeed, PyTorch Distributed - will be a plus
 English proficiency (oral and written).
 
Role specifics: 
Infra vs. coding requirements: 30% infrastructure (can be learned with guidance), 70% coding (essential for features and bug fixes)
 The role targets engineers rather than data scientists: focus on deployment, abstractions, monitoring, and alerting of Ray applications at scale
 Ray proficiency is critical; second version of the platform will be built on Ray
 Understanding Racer for real-time serving and Ray Train for model training is required
 
We offer*: 
Flexible working format - remote, office-based or flexible
 A competitive salary and good compensation package
 Personalized career growth
 Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
 Active tech communities with regular knowledge sharing
 Education reimbursement
 Memorable anniversary presents
 Corporate events and team buildings
 Other location-specific benefits
 
<ul>
<li>not applicable for freelancers</li>
</ul>

SRE / MLOps Engineer – Ray.io (Python)

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