Role Description As the ideal Software, AI/ML Engineer, you are someone who can do a deep technical dive and communicate effectively with others. You love wrangling messy data into an elegant solution, and helping others understand the power of their data. This role is a chance to have a huge impact on how businesses operate and make decisions on a daily basis. - Contribute to end-to-end data science projects by diving deep into diverse datasets (tabular, text, image, etc.) to uncover pain points and deliver actionable, data-driven insights. - Build, and deploy sophisticated machine learning solutions, including predictive models, generative AI applications, and autonomous agentic systems to address complex client challenges. - Implement and manage the full MLOps lifecycle, including CI/CD pipelines, model monitoring, and governance to ensure scalable, reproducible, and production-ready systems on cloud platforms like GCP. - Act as a technical contributor on client engagements, supporting pre-sales calls and proposal development through to the successful delivery of advanced analytics and AI solutions. - Translate complex technical concepts and model results into clear business value through compelling reports, presentations, and demonstrations for both technical and non-technical stakeholders. - Support the establishment of an AI/ML center of excellence by helping create standard operating procedures, reusable accelerators, and key sales assets. Qualifications - 3–6+ years in a Professional Software Engineering, Data Science or Cloud role. We are looking for a strong engineer eager to deepen their expertise in AI/ML. - Proven experience in a client-facing or consulting role is highly desirable. - Python (TensorFlow, Keras, SciKit-Learn, PyTorch), SQL, and Shell Scripting experience. - Data Engineering experience in Data Cleansing, ETL/ELT Pipelines, Vector DBs, Relational DBs, Graph DBs, NoSQL DBs, and Warehouses is a plus. - Generative AI experience in LLMs, Prompt Engineering, Tuning, RAG, and an understanding of agentic development, including architecture patterns and orchestration frameworks (e.g., LangChain, Google ADK) is a plus. - Statistics & Modeling experience with Time-Series, Clustering, Regression, Classification, Recommendation Systems, Deep Learning, Ensemble Modeling, Reinforcement Learning, EDA, Data Visualization, Feature Engineering, Model Evaluation, and Responsible AI is a plus. - MLOps experience with GIT, building CI/CD Pipelines, API Development, building and deploying microservices, Docker, Deployment, Retraining Pipelines, Monitoring, and Model Versioning is a plus. - Preferred Google Cloud Experience in the following tools. A plus for Vertex AI, Document AI, Cloud Run, Cloud Functions, Gemini, Cloud Build, Dataflow, DataProc, BigQuery, Pub/Sub, and Cloud Storage. - Kubernetes, Looker, and Graph Data Science experience is a plus. - Ability to communicate complex, technical processes to non-technical business stakeholders. - Ability to track changing business requirements and deliver quality solutions both independently and with teams of varying skill sets. - A Bachelor’s degree in Computer Science, Computer Engineering, or a related field, or equivalent work experience is required. Company Description 66degrees is an end-to-end AI transformation partner that guides enterprises from complex business challenges to clear, quantifiable outcomes. Our company is the culmination of several successful firms, each a leader in its own right in cloud, artificial intelligence, and data. This convergence of talent and expertise is how we help businesses reach their own "inflection point," where chaotic data becomes a strategic asset, complexity becomes clarity, and AI becomes an engine for growth. Our ultimate vision is to be the catalyst for a future where every business operates as an intelligent enterprise, with autonomous systems unlocking human potential. At 66degrees, we believe in thriving through challenges and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way.

Role Description We’re looking for a Senior AI Engineer to help build the next generation of intelligent experiences for Insight Timer, the world’s largest meditation and wellness community, with over 30 million users. You’ll work directly with our Head of AI and backend engineers to turn ambitious ideas into production-grade systems that make a real impact on people’s wellbeing. This role is focused on building, scaling, and operating real AI systems, not a research or data science position. You’ll: - Design and deploy agent workflows - Integrate them with our backend APIs - Build the evaluation and monitoring infrastructure that keeps them reliable at scale - Help define the frameworks, tools, and practices that shape how AI gets built across Insight Timer We’re a fast-moving team that values thoughtful engineering and real-world results. You’ll have the autonomy to make pragmatic tradeoffs, sometimes moving quickly to ship, sometimes investing deeply in quality and stability, always guided by what best serves our users. If you’re motivated by the challenge of building reliable, high-impact systems that reach millions, we’d love to meet you. Key Responsibilities - Design, build, and ship production-grade AI agents that interact with real users and systems at scale. - Build evaluation, testing, and monitoring systems to ensure agent reliability, safety, and continual improvement. - Architect flexible, modular workflows that make it easy to extend and iterate on AI capabilities. - Integrate agents with existing backend APIs and data systems, collaborating with backend engineers to expose the right capabilities. - Translate early AI prototypes into scalable, maintainable production systems used by millions of people. - Take ownership of Insight Timer’s GenAI infrastructure, shaping best practices, frameworks, and internal tooling. - Design data and feedback pipelines that help improve agent performance through real-world usage and, when appropriate, fine-tuning. - Stay current with emerging agent frameworks and infrastructure approaches, such as LangGraph, CrewAI, and AutoGen, adopting new techniques when they support product goals. Qualifications - 5+ years of experience in software engineering, including at least one production system involving AI agents or LLM-based automation. - Strong Python fundamentals. You write clear, reliable code, and know how to move fast without losing sight of maintainability. - Solid understanding of software design principles, modular architecture, and system integration. - Experience building or operating backend services, APIs, or distributed workflows in production. - Familiarity with agent frameworks such as LangGraph, CrewAI, AutoGen, or confidence learning similar systems quickly. - Comfortable designing evaluation, monitoring, and feedback pipelines to keep systems improving over time. - Thrive in a fast-paced environment where pragmatic trade-offs and iteration speed matter. - Motivated by impact. You care about building reliable systems that help millions live healthier, more meaningful lives. Benefits - We offer competitive salaries and options. - The role is fully remote, but you must be based in Australia. - Extra leave days are available for your well-being and birthday. - A generous L&D budget and wellbeing bonus. - We host a global company retreat each year.

• Design, build, and ship production-grade AI agents that interact with real users and systems at scale. • Build evaluation, testing, and monitoring systems to ensure agent reliability, safety, and continual improvement. • Architect flexible, modular workflows that make it easy to extend and iterate on AI capabilities. • Integrate agents with existing backend APIs and data systems, collaborating with backend engineers to expose the right capabilities. • Translate early AI prototypes into scalable, maintainable production systems used by millions of people. • Take ownership of Insight Timer’s GenAI infrastructure, shaping best practices, frameworks, and internal tooling. • Design data and feedback pipelines that help improve agent performance through real-world usage and, when appropriate, fine-tuning. • Stay current with emerging agent frameworks and infrastructure approaches, such as LangGraph, CrewAI, and AutoGen, adopting new techniques when they support product goals.

• Define and evolve GitLab's AI Platform Management capabilities across the platform, with a focus on the AI Control Plane. • Shape the direction of governance, orchestration, and audit capabilities, help teams make practical decisions in an ambiguous space, and build trust with engineering, design, and partner teams. • Lead product discovery and delivery for AI Control Plane capabilities that help administrators manage AI usage within GitLab. • Define product direction for configuration and governance experiences related to agents, Model Context Protocol servers, tools, skills, and approval flows. • Collaborate closely with engineering, design, and partner teams across AI Governance and related product groups. • Drive alignment across stakeholders by presenting trade-offs, alternatives, and product recommendations grounded in customer and business impact. • Own prioritization decisions for a platform area that supports multiple teams and products. • Partner with engineering managers and technical leaders across regions to deliver platform capabilities in an asynchronous, distributed environment. • Navigate cross-functional challenges with persistence, using escalation thoughtfully and only after working through options with peers. • Communicate strategy, decisions, and progress clearly so teams can move forward with shared context and accountability.