Agentic Systems Engineer

Senior Software Engineer - Agentic Systems

Soris

ABOUT SORIS We are a stealth technology company building at the intersection of foundational AI and systems design for real-world impact. Our mission is bold: to reimagine one of the largest and most entrenched industries on the planet, creating an entirely new model that is faster, fairer, and fundamentally better for humanity. Unlike wrapper companies or point solutions, we are building a full-stack AI platform from the ground up; one that is agentic, vertically integrated, and designed for scale. This gives us the rare ability to solve problems others can’t touch, operating with orders-of-magnitude more efficiency than legacy systems. Our founding team has scaled category-defining companies in frontier tech, aerospace, mobility, and AI. We’ve led organizations from zero to multibillion-dollar valuations, pioneered new industries, and built products that reshaped how people live and move. Now we’re assembling a small, fiercely talented team to take on our most ambitious challenge yet. Joining us means working on cutting-edge research with direct application, where your code doesn’t sit in a lab, it changes lives. You’ll be part of an environment that values intellectual rigor, creative rebellion, and the courage to build what others say is impossible. THE ROLE We’re looking for a Senior Software Engineer focused on AI systems to join our Engineering team. You’ll be one of the first engineers focused primarily on designing, building, and scaling AI agents that power Soris’ core platform. This role is ideal for engineers who have a backend/systems engineering foundation but are now dedicated to specializing in building agentic and intelligent systems. Candidates with a good fit for this role: * Want to own the AI systems that redefine how antiquated systems works. * Have strong backend experience and now want to specialize in AI agents in production. * Thrive in ambiguity, asking questions and solving problems across infrastructure, data, and AI. * Believe in building systems that are secure, deterministic, and human-centered. WHAT YOU’LL DO * Design and deploy AI agents that handle real-world workflows. * Collaborate with backend engineers to integrate AI agents into the core Soris platform. * Build the infrastructure and APIs needed to train, evaluate, and monitor AI agents in production. * Ensure agentic systems are reliable, secure, and compliant with industry regulations. * Contribute across the product lifecycle: architecture, experimentation, implementation, testing, deployment, and monitoring. * Establish best practices for AI system evaluation, auditability, and safety. * Work closely with external stakeholders to validate that AI workflows solve real user problems. REQUIREMENTS * 5+ years of backend/systems engineering experience (Python, Go, or similar). * Strong background in building agentic systems. * Experience building, deploying, and maintaining ML/AI systems in production. * Hands-on experience with orchestration frameworks (LangChain, N8N, Temporal etc). * Familiarity with distributed systems, APIs, databases, and cloud infrastructure (AWS is a big plus). * Strong collaboration and communication skills; you can explain trade-offs clearly and align AI goals with business needs. * A builder’s mindset: ownership mentality, bias for action, and curiosity to learn and experiment quickly. NICE-TO-HAVES * Background in highly regulated industries (HIPAA, SOC2, HITRUST, PCI etc). * Contributions to early-stage startups or small teams where wearing multiple hats was essential. * Knowledge of AI safety, deterministic outputs, and monitoring best practices. * Knowledge of security and compliance best practices for handling sensitive customer and financial data. * Experience leading or mentoring others. ENGINEERING CULTURE AT SORIS Our values guide how we work: * Extreme Ownership: We own outcomes, not just code. At Soris, we never say “that’s not my job”. * Always Be Curious: Ask questions. Explore new ways. * Go Farther Together: Collaboration beats silos. WHY JOIN US? * Competitive compensation package, including salary and equity. * Benefits include employer-covered health insurance for you, your spouse, and partially for children * Be part of an engineering team with massive influence on product, culture, and direction. * Work with cutting-edge AI agents and modern tech stacks. APPLY If you’re excited about transforming big antiquated industries, shipping fast, and working with a driven, world-class team, then we’d love to hear from you!

Principal AI Engineer (m/f/x) - AI & Digital Systems

appliedAI Initiative

ÜBER UNS The appliedAI Initiative elevates Europe’s industry to become shapers in the age of AI, creating a future that we desire to live in. Through our ecosystem of strong partners, comprehensive programs, services and solutions we advance companies holistically on their AI journey. With our uniquely diverse, interdisciplinary, and driven team, we build on deep technical expertise while specializing on applicability of the solutions. We share a mindset of collaboration and openness with our ecosystem of leading companies and tech players. Our common goal is to strengthen the European landscape, jointly creating unique knowledge for applying trustworthy AI. We believe that AI Agents will be the dominant topic for AI in the near future and that appliedAI with its partner ecosystem will impact how this technology is being used in industry and beyond in Europe. DEINE AUFGABEN You build the systems other engineers learn from. At appliedAI, we help Europe’s leading companies turn ambitious AI and digitalization strategies into production-grade software - and you take end-to-end ownership of that delivery for our most complex client engagements, while setting the engineering standard that elevates the entire Engineering team. Whether your depth comes from AI/ML systems, large-scale digitalization programs, or solution architecture for complex enterprise environments, you thrive on turning ambiguity into scalable, well-governed systems. Your tasks will include: * Architecting and implementing production-grade software and AI solutions for enterprise clients - spanning classical ML, GenAI applications, validated RAG, and agentic systems, alongside the broader digital and software architecture around them - with attention to security, scalability, hybrid/cloud deployments, and operational maturity * Defining and championing engineering excellence across the team: code quality, design reviews, evaluation harnesses, observability, security, and MLOps standards * Leading technical delivery from target architecture through production hardening and client handover, working closely with engagement leads on scope and value * Building reusable engineering accelerators - templates, libraries, and evaluation frameworks - that multiply the impact of the wider Engineering team * Mentoring mid-level and senior engineers, facilitating technical guilds, and driving a culture of shared knowledge and continuous improvement DEIN PROFIL * 10+ years of software engineering experience, including a strong track record at principal or lead level - as an AI/ML engineer, software architect, digitalization lead, or solution architect - with meaningful exposure to AI/ML systems in production or a demonstrated ability to grow quickly into that depth * Deep engineering foundation across distributed systems, APIs, data pipelines, cloud-native architecture (Azure, AWS, or GCP), containers, CI/CD, and MLOps * Strong command of Python and solid exposure to the modern AI stack - LangChain/LangGraph, vector stores, evaluation frameworks, or platforms such as Azure AI Foundry - or a proven ability to master this stack rapidly given your engineering depth * A demonstrable track record leading complex, end-to-end technical delivery in client-facing settings, at enterprise scale * Pragmatic and code-first in your approach; opinionated about quality, evaluation, security, and operational maturity * Fluent in both English and German DEINE VORTEILE * A highly qualified and motivated team of ~90 people is on a journey to change the rapidly evolving European AI Landscape * Experience the best of both worlds with our hybrid work model: You can choose to work from our vibrant offices - either at the IPAI in Heilbronn or the House of Communication in Munich - while also enjoying the flexibility to work remotely a few days each week * Opportunity to shape a variety of projects and the development of new, original content based on the latest developments in AI and its adoption in businesses * An atmosphere that encourages to think and experiment in new ways with software, hardware, and processes * A highly visible initiative that helps you build a large and high-level network of start-ups, partners, and tech companies * A flexible development budget that’s yours to shape - invest it in training, certifications, conferences, or new challenges, however you want to grow * Sports membership with Wellpass to access thousands of sports facilities all over Germany (and beyond), as well as online courses * JobRad: Lease a bike for a cheaper rate via JobRad and we cover the bike insurance on top * Sabbatical option: You can take a sabbatical of up to 3 months after min. 3 years of employment - because sometimes 30 vacation days are not enough to explore the beauty of this world * PME Familienservice: A 24/7 support for a successful work & life in any life situation. Benefit from free support in areas like life coaching, child care and many other options * Mobility budget: Every month we contribute to your individual mobility usage with public transport or shared mobility offers within the app Moovster * Workation: Work from anywhere in the EU/EWR area for up to 3 months per year - combining working at a nice place and spending your leisure time in the evening like vacation KONTAKT Lucas Fernandes - Senior Talent Acquisition Specialist appliedAI Initiative GmbH, August-Everding-Str. 25, 81671 München

Senior Machine Learning Systems Engineer, Ads ML Experience Platform

Reddit

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com. Reddit has a flexible workforce! If you happen to live close to one of our physical office locations our doors are open for you to come into the office as often as you'd like. Don't live near one of our offices? No worries: You can apply to work remotely in any country in which we have a physical presence Team Overview We are building the next generation of ML research tools and agentic AI platforms that power machine learning development across Reddit. Our mission is to accelerate the Ads ML lifecycle – from experimentation and training to deployment, evaluation, and autonomous operations – through scalable platform services, intelligent automation, and developer-centric tooling. Our team owns critical platform capabilities including offline ML experimentation systems, production training orchestration frameworks, ML lifecycle automation and, agentic ML frameworks that enable faster model iterations. We are looking for an experienced engineer with deep expertise in large-scale distributed systems, ML platforms, and emerging agentic architectures to help define and build the foundational tooling for the next generation of our machine learning devX tooling. What You’ll Do * Design and build large-scale offline ML experimentation platforms that enable reproducible research, model development, evaluation, and promotion workflows. * Develop production-grade training orchestration frameworks supporting distributed training, hyperparameter optimization, model evaluation, and automated retraining. * Build infrastructure for experiment tracking, metadata management, lineage, artifact versioning, model registries, and reproducibility. * Partner with ML engineers and researchers to improve experimentation velocity and operational efficiency. * Build automated workflows for model promotion, rollback, compliance validation, and continuous evaluation. * Design and build an agentic AI execution platform supporting autonomous and human-in-the-loop workflows, including multi-agent orchestration, memory/context systems, and scalable workflow infrastructure. What You Bring * 5+ years in infrastructure/platform engineering or large-scale distributed systems. * 2+ years of hands-on experience building and operating production ML infrastructure, developer SDKs, platform APIs, or self-service AI tooling. * Experience building workflow orchestration systems, developer platforms, or large-scale automation frameworks. * Experience with distributed data processing systems such as Spark, Flink, Ray, or equivalent technologies. * Experience with modern orchestration and workflow technologies such as Kubeflow, Argo, Airflow, or similar frameworks. * Experience building offline ML experimentation platforms, model registries, experiment tracking systems, or training orchestration frameworks. * Experience building and operating agentic AI systems, including multi-agent orchestration, autonomous workflows, and agent communication/runtime frameworks (e.g., MCP, A2A, and orchestration systems) is a strong plus * Experience running end-to-end model development and iteration cycles at scale is a plus Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/. To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $216,700—$303,400 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.