Role Description Contribute to the evolution of global communication at BlaBlaCar. You will support the LLM Translation Quality Project, building a scalable, language-agnostic engine that automates and elevates our content across 20+ languages. From defining AI translation quality standards to auditing LLM output, you will bridge the gap between customer-centric content and AI automation, ensuring our support platform is both technologically advanced and human-centric. - LLM Translation Quality Project: Contribute to the design, build and implementation of a language agnostic LLM process, including translation quality reviews and content reorganisation. - Content creation and localisation: Research and produce core content for support channels and manage localisation into 20 languages using AI-driven workflows. - End-to-End content projects: Lead the entire content project lifecycle, from initial conception to stakeholder implementation. - AI: Co-develop prompts and AI agents for our tools. Track key metrics to measure the impact of AI and ensure continuous model improvement. Qualifications - Exceptional written and verbal communication skills in English. - Proven experience managing content across multiple languages and markets. - A strong understanding of and hands-on experience with AI tools, with a genuine curiosity for building and testing new AI agents. - Adaptable and resourceful, with the proven ability to learn and master new software and tools quickly. - A strong sense of ownership and the ability to prioritise tasks effectively to meet business goals. - Highly organised, structured, and detail-oriented in your approach to content and project management. Requirements - A background in translation, linguistics, or similar. - French language skills are a plus. - Previous experience writing content for a customer service or community support audience. Benefits - BlaBlaCar is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. - We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.

If you’re passionate about building a better future for individuals, communities, and our country—and you’re committed to working hard to play your part in building that future—consider WGU as the next step in your career. Driven by a mission to expand access to higher education through online, competency-based degree programs, WGU is also committed to being a great place to work for a diverse workforce of student-focused professionals. The university has pioneered a new way to learn in the 21st century, one that has received praise from academic, industry, government, and media leaders. Whatever your role, working for WGU gives you a part to play in helping students graduate, creating a better tomorrow for themselves and their families. The salary range for this position takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At WGU, it is not typical for an individual to be hired at or near the top of the range for their position, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: Grade: Faculty 506 Pay Range: $71,300.00 - $107,000.00 Job Description Instructors are subject matter experts who teach and support a caseload of students enrolled in their assigned course(s). Instructors offer specialized instruction on topics in their course(s) aligned with best practices, as well as monitor and support student progress in competency development and course completion. They are responsive to learner needs and vary the type, length, method, and intensity of instruction best matched to the learner’s strengths and goals. Using technology, Instructors may interact with students in both group and one-to-one settings. Instructors collaborate with other instructional and program faculty serving the students in their course to ensure continuity and quality of support. Job Duties Develops instructional materials, aligned with identified learning objectives, course competencies, and instructional interventions, to support both student self-service use and use in virtual one-to-many events. Provides effective, relevant, and engaging one-to-many virtual events aligned with identified learning objectives. Continually develops knowledge, skills, and expertise through active participation in faculty learning community and other developmental opportunities. Provides proactive, relevant, timely, and effective one-to-one virtual instruction to students in a specific course or domain. Facilitates student communities to support peer collaboration, effective faculty interaction, and student development. Student-centered and provides effective one-to-one virtual coaching to help students achieve personal, academic, and career goals. Adapts instructional and coaching practices to common and typical student needs. Performs other job-related duties as assigned. KSAs Subject-matter expertise in the assigned content and skills of the course(s)/domain(s) Strong knowledge of how student characteristics interact with different learning needs common to the course(s)/domain(s) Strong communication skills with the ability to moderate online student communities to encourage engagement and learning. Ability to use information from student profiles, learning behaviors, and interactions to identify individual student needs. Demonstrates respect for and value of diverse perspectives and experiences. Ability to adapt standard resources, templates, and instructional plans for the needs of individual students or groups of students. Ability to apply adult learning principles and instructional skills to build student competency in a virtual one-to-one setting. Provide encouragement for student self-reflection and metacognition to improve competency in learning objectives. Flexibility to adjust instructional approach depending on individual student needs and preference. Skilled at using data to identify students in need of proactive support, with the ability to select appropriate tone and content for proactive outreach. Ability to adapt the timing, modality, and frequency of outreach/contact to individual student needs and preferences. Strong active listening skills and emotional intelligence with the ability to build relationships with adult students. Solid understanding of coaching strategies to support personal, academic, and professional development in adult students. Willingness to engage in regular self-reflection and re-evaluation of beliefs, perspectives, and approaches to improve equity. Proficient in developing presentation materials that align to specified objectives and are visually engaging, understandable, and accessible. Ability to develop learning facilitation experiences and effective, formative self-assessment activities aligned with specific objectives to advance student learning. Skilled at implementing relationship-building activities for online student communities. Ability to facilitate synchronous student interaction in a virtual environment. Minimum Qualifications - Master's Degree in HIM or related field and all applicable licenses or certifications. - RHIA Certification - 3 years of relevant professional experience, including 2 years of teaching online - Demonstrated subject matter expert in assigned content or practice area(s). Preferred Qualifications - Terminal degree and all applicable domain-specific licenses or certifications. - Strong experience with distance education and distance learning students. Job Description Disclaimer: This position description provides the major duties/responsibilities, requirements and working conditions for the position. It is intended to be an accurate reflection of the current position, however management reserves the right to revise or change as necessary to meet organizational needs. Other responsibilities may be assigned when circumstances require. This position requires occasional travel of up to 20%, including required attendance at designated company summits (typically one to two per year). Additional travel may include conferences, visits to company locations, and other business-related events as needed. Additional travel may be assigned as needed to support business requirements. #LI-REMOTE #AA #D&I #LI-ML4 Position & Application Details Full-Time Regular Positions (classified as regular and working 40 standard weekly hours): This is a full-time, regular position (classified for 40 standard weekly hours) that is eligible for bonuses; medical, dental, vision, telehealth and mental healthcare; health savings account and flexible spending account; basic and voluntary life insurance; disability coverage; accident, critical illness and hospital indemnity supplemental coverages; legal and identity theft coverage; retirement savings plan; wellbeing program; discounted WGU tuition; and flexible paid time off for rest and relaxation with no need for accrual, flexible paid sick time with no need for accrual, 11 paid holidays, and other paid leaves, including up to 12 weeks of parental leave. How to Apply: If interested, an application will need to be submitted online. Internal WGU employees will need to apply through the internal job board in Workday. Additional Information Disclaimer: The job posting highlights the most critical responsibilities and requirements of the job. It’s not all-inclusive. Accommodations: Applicants with disabilities who require assistance or accommodation during the application or interview process should contact our Talent Acquisition team at recruiting@wgu.edu. Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to any protected characteristic as required by law.

Overview: UP.Labs is a dynamic venture studio dedicated to building innovative startup companies from the ground up. Our team thrives on solving complex problems, driving technological advancements, and creating impactful digital products. We're seeking a skilled AI Agent Engineer to join our growing team and contribute to our mission of launching the next wave of successful startups. Technical Challenge: As an AI Agent Engineer at UP.Labs, you will design, implement, and deploy agentic AI workflows — systems where LLMs orchestrate multi-step reasoning, tool use, and decision-making — to power real-time tooling across manufacturing, logistics, and supply chain domains. You will be responsible for building solutions that behave predictably and produce near-deterministic outputs in production environments. This is a hands-on role requiring strong technical expertise, creativity, and a passion for innovation in the transportation industry. In this role you will: - Design, build, and deploy agentic workflows (multi-step LLM chains with tool calling, retrieval, and structured output) for real-time, business-critical use cases. - Engineer for determinism and consistency by implementing constrained decoding, structured outputs, caching layers, and evaluation harnesses. - Build and maintain evaluation and regression frameworks — automated pipelines that measure accuracy, latency, and behavioral consistency across prompt and model changes. - Integrate LLM agents with external tools and APIs (databases, rules engines, business systems) using frameworks like LangFuse, LangChain, LangGraph, CrewAI, or custom orchestration. - Deploy agentic systems on cloud infrastructure (AWS, Azure, and/or GCP), optimizing for low-latency inference and cost efficiency. - Implement guardrails, fallback logic, and observability to ensure agents fail gracefully and every decision is traceable. - Collaborate with data scientists, software engineers, and business stakeholders to translate business rules into agent behavior and tool definitions. - Stay current with the latest advancements in AI agents, large language models, and cloud technologies. Required Skills: - Practical, hands-on experience building and deploying agentic AI systems in production environments. - Proficiency in Python and experience building production backend systems. - Experience with LLM APIs (OpenAI, Anthropic, etc.) and agentic frameworks (LangFuse, LangChain, LangGraph, CrewAI, AutoGen, or equivalent). - Strong understanding of prompt engineering for reliability: structured outputs, few-shot patterns, chain-of-thought, and techniques that minimize hallucination. - Experience building evaluation and testing pipelines for AI systems, including behavioral evals and golden-set testing. - Expertise in at least one major cloud provider (AWS, Azure, and/or GCP) and containerized deployment (Docker, Kubernetes). - Familiarity with vector databases (Pinecone, Weaviate, pgvector) and retrieval-augmented generation (RAG) patterns. - Solid knowledge of version control systems (e.g., Git) and CI/CD pipelines. - Strong problem-solving skills and ability to work collaboratively across teams. Preferred Expertise: - Advanced degree (Master's or PhD) in Computer Science, Machine Learning, or a related field. - Experience building systems where AI outputs feed directly into business-critical decisions. - Experience in the transportation and logistics industry. - Familiarity with MLOps/LLMOps tooling. - Experience with fine-tuning or distillation to optimize for speed and cost at inference time. - Knowledge of rules engines or constraint solvers and how to combine them with LLM reasoning. UP.Labs Summary: We build high-growth technology startups that enable faster, cleaner, and safer movement of people and goods. Our vision is to transform the moving world by pairing leading corporations and entrepreneurs with a proven methodology for launching and scaling software and hardware companies. We work with corporate investors over a multi-year period to launch a portfolio of mobility-focused ventures. Our team is dedicated to the first year of a new venture’s life cycle, from ideation to minimum viable product build (and beyond) to recruiting and hiring the full-time team who will scale the business. Location: Remote

• Design architecture for AI-enabled applications and services • Build reusable AI services and APIs • Implement LLM integrations, RAG pipelines, and agent-based systems • Develop frameworks to enable AI adoption across engineering teams • Establish best practices for AI development, deployment, and monitoring • Support rapid experimentation and prototyping of AI solutions • Partner with platform teams to embed AI capabilities into enterprise applications