Role Description Pierce Technology Corp is seeking an AI Engineer - SDLC Process Improvement to enhance our software development lifecycle (SDLC) by integrating cutting-edge AI technologies and automating key processes. This role focuses on leveraging AI to streamline development workflows, improve code quality, and accelerate delivery timelines across engineering teams. - Analyze current SDLC processes to identify opportunities for AI-driven improvements and automation. - Design and implement AI-powered tools to support code review, testing, deployment, and monitoring. - Collaborate with software engineering, QA, and DevOps teams to integrate AI solutions seamlessly into existing workflows. - Develop metrics and evaluation frameworks to measure the effectiveness and impact of AI enhancements on SDLC efficiency. - Drive continuous improvement initiatives by leveraging data-driven insights and A/B testing of AI tools within the development lifecycle. This role requires a blend of AI engineering expertise, process analysis skills, and cross-functional collaboration to transform the way our engineering teams build and deliver software. Qualifications - Strong foundation in AI/ML techniques and their practical application in software development and automation. - Experience with SDLC processes, software engineering best practices, and DevOps principles. - Proficiency in Python and relevant AI frameworks such as PyTorch or TensorFlow. - Demonstrated ability to design and implement AI-powered tooling for code analysis, testing, or deployment automation. - Experience with process improvement methodologies and metrics-driven evaluation. - Excellent communication and collaboration skills to work effectively across engineering teams. Requirements - Bonus: Familiarity with CI/CD pipelines, A/B testing frameworks, and monitoring tools.

• Analyze current SDLC processes to identify opportunities for AI-driven improvements and automation. • Design and implement AI-powered tools to support code review, testing, deployment, and monitoring. • Collaborate with software engineering, QA, and DevOps teams to integrate AI solutions seamlessly into existing workflows. • Develop metrics and evaluation frameworks to measure the effectiveness and impact of AI enhancements on SDLC efficiency. • Drive continuous improvement initiatives by leveraging data-driven insights and A/B testing of AI tools within the development lifecycle.

Role Description This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Lead Agentic AI - Remote. In this role, you will have a transformative impact on the organization's approach to AI, partnering directly with senior leaders to redefine the operational model. You'll guide the integration of autonomous tools and systems, driving innovation and enhancing team productivity. By reshaping workflows and processes, you'll enable a culture of adaptive learning that supports our partner's mission to revolutionize access to financial products through AI. This is an opportunity to significantly influence strategic direction and functional transformation for a global audience. - Design the future operating systems in collaboration with senior leadership. - Define the integration of autonomous tools and human judgment into decision-making. - Deliver technical projects that enhance team efficiency and capacity. - Prototype and validate process innovations with AI tools. - Transform proof-of-concept learnings into scalable frameworks. - Collaborate with data and engineering teams on infrastructure needs. - Advise leadership on aligning AI capabilities with business strategies. - Encourage a culture of innovation and responsible AI adoption. Qualifications - 8+ years in business transformation or related fields. - Experience leading cross-functional initiatives. - Strong technical proficiency with AI tools and automation. - Hands-on experience in workflow automation and custom skills. - Excellent communication skills for cross-technical collaboration. - Systems thinking with a focus on execution and impact. - Bachelor’s degree in a technical field; MBA is a plus. - Familiarity with data architecture and AI initiatives (preferred). Benefits - Virtual-first work environment with international collaboration. - Competitive compensation and equity options. - Flexible health plans and comprehensive subsidies. - Direct access to leadership and decision-making. - Paid global team meetups for enhanced team bonding. - Recognition of impact and opportunities for growth. Company Description

Role Description For our client - a fast-growing AI-driven fitness and wellness product - we are looking for an AI Engineer who will design and build intelligent AI coaching systems that plan, adapt, and personalise workouts in real time. You will develop AI agents and recommendation engines that combine structured user data, health signals, and fitness science principles to deliver safe, effective, and highly personalised training experiences. This includes building multi-step reasoning pipelines, retrieval systems, evaluation frameworks, monitoring, and guardrails, ensuring an AI coach performs reliably in production and continuously improves over time. - Building AI agents that plan workouts, adapt in real time, and coach users - including tool use, multi-step reasoning, memory management, and context pipelines - Building and improving recommendation systems - exercise selection, weight recommendations, intensity scaling - using structured user data - Integrating health and recovery signals (Apple Health, body scans, fitness tests) into the coach's decision-making process - Working with the Fitness Science team to define what "good" looks like for subjective tasks - such as whether a workout fits a user's age, injury history, and goals - then building the evaluation frameworks that enforce those standards end-to-end - Analysing where agents fail, identifying patterns in those failures, and addressing the ones that matter most - Designing monitoring and guardrails so agents don't fail silently in production Qualifications - Strong Python skills - Solid software engineering fundamentals - you ship production code, not just prototypes - Experience building AI agents - tool orchestration, multi-step workflows, context management, retrieval systems - Experience building recommendation or scoring systems on structured data - collaborative filtering, calibration, rule-based systems, or hybrid approaches - Strong analytical instincts - you can define what "correct" means for a subjective recommendation, design metrics that reflect user experience, and spot when a metric is lying to you - You've fine-tuned or distilled language models to hit cost and latency targets - You know how to make retrieval work - embeddings, vector search, and semantic similarity - Experience with classification and regression on structured data - user health signals are messy and continuous - Ready to learn a new domain deeply - you'll pick up exercise physiology, recovery science, and training principles on the job Requirements - Experience building multi-agent systems - Background in health, fitness, or wellness - Experience with active learning or human-in-the-loop workflows - Experience with time-series analysis or forecasting (fitness data is mostly sequences over time) - Background in ML ops - model versioning, serving infrastructure, pipeline orchestration Benefits - Work on a fast-growing AI-driven fitness and lifestyle product - AI and LLMs are core not only to the product, but also to day-to-day engineering work - Unique intersection of B2C scale and large B2B partnerships - Growth comes from tackling complex technical challenges, deep ownership, and broad influence - Small, people-oriented team with a strong engineering culture Company Description We look forward to receiving your CV and learning more about your experience! Dear Candidates, due to a high volume of applications, only selected candidates will be contacted for interviews. We appreciate your understanding. Thank you for considering a career with us!