Role Description As Staff AI Engineer, you are the technical leader and backbone of Cadre's Colombia engineering team. Your job is to ensure every engineer around you builds better. You mentor and manage engineers, set the standard for how the team designs, reviews, and ships AI systems, and own their growth as deliberately as you own your own code. You pair that leadership with serious technical depth, staying hands-on with the hardest builds in our client portfolio: - Multi-step agent systems - Complex document processing pipelines - Automations that touch core revenue operations When a problem has ambiguous requirements or no obvious solution, the team looks to you, and clients measure the result in EBITDA impact, not demos. You report to the Head of Client Engineering and occasionally join client calls to walk stakeholders through what we are building and why. You thrive here if leveling up the people around you energizes you as much as shipping the system yourself. What You'll Do - Team Leadership and Mentorship - Manage and mentor engineers on the Colombia team, owning their technical growth, code quality, and delivery. - Set the engineering bar through rigorous code review, pairing, and reference implementations. - Serve as the first escalation point when engineers hit problems they cannot solve alone, teaching as you unblock. - Build the habits, patterns, and practices that make every engineer on the team measurably better quarter over quarter. - Technical Direction - Drive architecture decisions across client builds: agentic workflows, RAG pipelines, document processing, and automation running in production. - Evaluate new models, frameworks, and techniques as they emerge, deciding what enters Cadre's production toolkit. - Turn hard-won lessons from client builds into reusable internal tooling, templates, and documentation. - Build and Ship Production AI Systems - Stay hands-on with Cadre's most complex client systems, owning delivery end to end. - Make pragmatic build decisions under real constraints: client timelines, legacy systems, messy data, and measurable business outcomes. - Ship fast without sacrificing reliability; design systems that keep working long after the engagement ends. - Client Collaboration - Join client calls when the conversation needs technical depth, walking stakeholders through system designs, trade-offs, and progress. - Translate ambiguous business problems into concrete system designs and delivery plans clients can commit to. - Flag risks, trade-offs, and scope realities directly and early, protecting both the client outcome and the team's delivery. Qualifications - 8+ years of software engineering experience, including 2+ years building LLM-powered systems that run in production. - Demonstrated technical leadership: engineers you have mentored or managed improved due to your guidance. - Expert-level Python and strong full-stack fundamentals. - Production cloud experience (AWS, GCP, or Azure). - Deep working knowledge of the modern AI stack. - A track record of owning ambiguous, high-stakes projects end to end. - Fluent English and clear communication on client calls. - Consulting-environment adaptability. - Based in Colombia with reliable overlap with US business hours. - An AI-first working style. Benefits - Real leadership: be the technical backbone of a growing engineering team. - AI-native culture: work with people who are as obsessed with the tools as you are. - Access to the frontier: experiment with new models and capabilities through partnerships. - Upside: share in the success of a bootstrapped, profitable, and fast-growing company. - No bureaucracy: small teams with clear accountability.

• Design, develop, and deploy enterprise AI applications, AI agents, copilots, and intelligent workflow solutions across manufacturing and corporate domains. • Build and maintain AI orchestration pipelines utilizing LLMs, retrieval-augmented generation (RAG), vector search, prompt frameworks, and agent-based architectures. • Develop scalable AI integration patterns between enterprise platforms such as Snowflake, Salesforce, ERP systems, SCADA/OT systems, document repositories, and collaboration platforms. • Collaborate with data scientists and business stakeholders to operationalize machine learning and generative AI solutions into production environments. • Design APIs, middleware, and integration services supporting AI-driven automation and cross platform communication. • Develop and optimize semantic search, enterprise knowledge retrieval, and conversational AI capabilities. • Support the implementation of AI governance, security, observability, model evaluation, and human-in-the-loop approval processes. • Drive enterprise AI architecture strategy and standards, partnering across teams to define approaches for AI platforms, orchestration, deployment, and lifecycle management.

Role Description We’re looking for an AI Software Engineer to help build the next generation of UJET's AI products: Spiral and AXO. This is a high-impact role for someone who thrives in ambiguity, enjoys moving across the stack, and wants to turn cutting-edge model capabilities into real-world product experiences. - Work across backend systems, AI services, product features, APIs, and infrastructure. - Build agent workflows in Python, ship customer-facing features in TypeScript, improve evals and reliability, or design systems that process large-scale conversational data securely and efficiently. This role is ideal for an engineer who is deeply practical about AI: someone who uses AI-assisted development naturally, understands how to build with and around LLMs, and cares about reliability, performance, and user impact as much as model quality. We value curiosity highly. The best people in this role are excited to dig into messy problems, ask good questions, and iterate until the system is measurably better. Qualifications - 3-5 years of professional software engineering experience, with strong hands-on experience building production systems. - Strong experience as a generalist engineer who can move fluidly between backend systems, frontend, AI services, APIs, and product development. - Excellent programming skills in Python and TypeScript. - Experience shipping AI agents, LLM-powered applications, or other production AI systems, including prompt and tool orchestration, evaluation, and cost/reliability tradeoffs. - Strong product instincts and comfort working in ambiguous environments where the right solution is not obvious at the start. - Experience building and operating systems on AWS/GCP in production. - Comfort working with large, messy datasets and building pipelines that turn unstructured inputs into dependable product functionality. - Strong SQL and data systems fundamentals. - A bias toward ownership, speed, and pragmatic execution. - Experience building AI-native products from 0 to 1. - Familiarity with conversational data, support platforms, CRM/CCaaS integrations, or customer experience tooling. - Experience with observability, evaluation frameworks, and production reliability for AI systems. Requirements - Build and own product and platform capabilities across Spiral and AXO, from early prototypes to production systems. - Design and implement AI-powered workflows, agent capabilities, and backend services that are scalable, secure, and reliable. - Develop high-performance APIs, async workers, and application logic in Python and TypeScript. - Ship user-facing product features and internal tools that make advanced AI systems useful and intuitive for customers. - Architect and improve data ingestion, parsing, and analysis pipelines that transform raw customer interaction data into structured, actionable insights. - Partner across engineering, product, and design to translate ambiguous product ideas into robust technical systems. - Own infrastructure and deployment patterns on AWS/GCP, with a focus on reproducibility, observability, security, and cost efficiency. - Improve system quality through evaluation, monitoring, logging, alerting, and operational best practices. - Help define engineering standards, review code, and mentor teammates working on distributed systems and AI applications. Benefits - Medical, dental, vision, 401(k) plan, commuter benefits, and more.

We put AI firstWe're looking for a Principal Generative AI Engineer to build AI systems that connect development workflows with production observability. You'll design and ship agentic tooling that helps engineers understand code, assess the impact of changes before they hit production, and act on real runtime signals. Your role at DynatraceWe are looking for a visionary, technically excellent engineer who is ready to design and ship production-grade agentic AI systems that bridge the gap between code context and runtime signals. You should thrive on a foundation of freedom, feedback, and responsibility, bringing a startup-like drive backed by the reach of a global platform. - Design, build, and ship agentic AI systems and tooling that helps engineers understand code, assess the impact of changes before they hit production, and act on real runtime signals. - Build production LLM systems end to end, managing prompting, tool calling, retrieval, memory management, and the agent loops that tie them together. - Define the evaluation strategies, metrics, and datasets that make agent quality measurable, ensuring we ship on evidence and catch regressions across model and prompt changes. - Connect development workflows with production observability, turning code context and runtime signals into reliable, actionable insight, and collaborate with product, design, and platform teams to identify developer problems. - Set technical strategy and architectural direction for the team's AI systems, mentor engineers across the organization, and take full ownership of systems using Dynatrace to monitor and optimize them. What will help you succeedYou are a seasoned technical leader with a strong software engineering foundation and proven hands-on experience deploying complex LLM applications. You possess the engineering judgment to navigate ambiguous, fast-moving spaces and set clear architectural direction for your team. - Degree in Software Engineering or equivalent practical experience in software development, combined with a track record of technical leadership and the judgment to set direction in an ambiguous, fast-moving space. - Extensive experience shipping production systems that use LLMs, including prompting, tool calling, evaluation, and iteration. - A strong foundation in at least one of: developer tooling (IDEs, compilers, static analysis, code intelligence), AI/ML engineering, or large-scale distributed systems. - Hands-on experience with agentic patterns, specifically planning, tool use, retrieval, and memory management. - The ability to evaluate and critique AI-generated output, understanding why a model is wrong, not just that it is, with familiarity with observability and the Dynatrace platform as a strong advantage. Why you will love being a Dynatracer - Dynatrace is a leader in unified observability and security. - We provide a culture of excellence with competitive compensation packages designed to recognize and reward performance. - Our employees work with the largest cloud providers, including AWS, Microsoft, and Google Cloud, and other leading partners worldwide to create strategic alliances. - You'll get to work at the forefront of innovation with Dynatrace Intelligence—the industry's first agentic operations system. Bringing together deterministic and agentic AI, it helps teams understand what's happening, why it matters, and what to do next— automatically. - Over 50% of the Fortune 100 companies are current customers of Dynatrace. Compensation and RewardsThe base salary range for this role is $146K - $220K. When determining your salary, we consider your experience, skills, education, and work location. Our total compensation package includes unlimited personal time off, an employee stock purchase plan, and a reward system. We also offer medical/dental benefits and a company-matched 401(k) plan for retirement. Equal Employment OpportunityDynatrace provides equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other protected characteristic. We actively foster an inclusive workplace that celebrates differences and promotes accessibility, collaboration, and growth for all.