About Etera Etera is building the first AI-native corporate travel platform for the GCC market — designed from the ground up for how businesses in the region actually operate. We're a lean, high-conviction team replacing legacy TMCs with autonomous agents, real-time inventory, and a product experience that doesn't feel like it was designed in 2009. The Role We're looking for a Senior AI Fullstack Engineer who can own the full stack — from a smooth React Native mobile experience to TypeScript backend services and the AI/LLM layer that powers our multi-agent infrastructure (OPUS Prime). If you think in systems, ship fast, and find it natural to reason about both user-facing product and underlying model behavior, this role was built for you. What You'll Own - Mobile-first product: Build and maintain Etera's React Native app (Expo/TypeScript) — booking flows, real-time updates, multilingual UX (Arabic/English). - Backend services: Design and extend our TypeScript backend, including booking APIs, supplier integrations (PKfare, RateHawk, Hotelbeds), and webhook orchestration. - LLM integration: Work directly with Claude (Anthropic API) and our multi-agent OPUS Prime system — building, tuning, and extending AI pipelines for travel intent detection, QA, and automated engineering reports. - End-to-end delivery: Take features from spec to production. Own the full lifecycle — architecture, implementation, testing, deployment. - Infra & reliability: Firebase Auth (OTP, Apple, Google), EAS Build/TestFlight pipelines, and CI/CD hygiene across the stack. - Code quality: Participate in security audits and peer review within a small, high-trust engineering team. Tech Stack Frontend / Mobile: React Native + Expo, TypeScript, Firebase Auth (OTP, Apple, Google), EAS Build / TestFlight, Native iOS/Android context. Backend / AI: TypeScript (end-to-end), Anthropic API / Claude, Mastra (agent orchestration framework), LangChain (chains, tools, memory), Zeabur / cloud deployment, REST + Webhook integrations. You've Built and Run Agent Teams. Plural. This is not a role for someone who has experimented with LLMs on side projects. We're looking for engineers who have designed, shipped, and actively maintained multi-agent systems — and who understand what it takes to keep them reliable in production. - Proven agent team ownership: You have built one or more autonomous agent teams from scratch — defined their scope, wired their tools, managed inter-agent communication, and own their continued operation. - Self-validating mindset: You don't hand off agent output blindly. You act as the primary validation layer for the systems you build — designing evaluation criteria, catching failure modes, and iterating on agent behavior based on real output quality. - Cross-domain fluency: Your agents have touched multiple domains — not just one narrow use case. You can reason about agent behavior across booking logic, data quality, QA pipelines, code review, or content generation without needing a specialist in each area. - Maintenance discipline: You have a track record of keeping agent systems healthy over time — prompt drift, tool failures, context window management, regression testing. Not just shipping and moving on. - Full-stack integration: You connect agent teams to real product surfaces — not just notebooks or internal tools. Your work shows up in APIs, mobile interfaces, or backend workflows that real users depend on.

Since June 2021, frog is part of Capgemini Invent. frog partners with customer-centric enterprises to drive sustainable growth, by building and orchestrating experiences at scale, while harnessing the power of data and technology. We’re inventing the future of customer experiences by delivering market-defining business models, products, services, brand engagements and communications. Joining frog means you’ll be joining the “pond,” a global network of studios, each with a thriving in-person and vibrant virtual culture. frogs are curious, collaborative, and courageous, united by our passion for improving the human experience across our areas of expertise, while each bringing our unique and diverse skills and experiences to the table. We draw on our global reach and local knowledge to solve complex problems and create innovative, sustainable solutions that touch hearts and move markets. frogs prize humour, positivity, and community just as highly as performance and outcomes. Our culture is open, flexible, inclusive, and engaging. Working at frog means being empowered to meet the moment, and Make Your Mark on every project, in your studio, your community — and the world at large. Your Role We are seeking a highly skilled AI Architect to join our team. The ideal candidate will possess a deep understanding of artificial intelligence, machine learning, and data science. You will be responsible for consulting with clients to identify opportunities for AI implementation, developing and implementing AI solutions, and providing ongoing support. In this role, you'll: - Design, develop and implement Gen-AI applications and projects aligned to the business use cases and stories - Implement and showcase Proof-Of-Concept (POCs), showcase viability and impact of AI to the Product Development and Sales team. - Collaborate with cross-functional teams to identify business problems and develop solutions in AI. - Understand End-to-End development, deployment and maintenance of AI/ML/Gen-AI solutions on & off premise Your Profile - Minimum of 9 years of industry experience working with machine learning algorithms and Python programming. - Hands-on experience in building Gen-AI application, working with Gen-AI frameworks, LLM Models - Proficiency in Python programming, with experience in libraries such as NumPy, Pandas, and scikit-learn. Knowledge of libraries like TensorFlow, Pytorch and Keras is crucial. - Solid understanding of machine learning algorithms and concepts, such as supervised and unsupervised learning, regression, classification, and clustering. What you will love about working here - We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. - At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. - Equip yourself with valuable certifications in the latest technologies such as Generative AI. Equal Opportunities at frog Frog and Capgemini Invent are Equal Opportunity Employers encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status, or any other characteristic protected by law.

About Us With electric vehicles expected to be nearly 30% of new vehicle sales by 2025 and more than 50% by 2040, electric mobility is becoming a reality. ChargePoint (NYSE: CHPT) is at the center of this revolution, powering one of the world’s leading EV charging networks and a comprehensive set of hardware, software and mobile solutions for every charging need across North America and Europe. We bring together drivers, businesses, automakers, policymakers, utilities and other stakeholders to make e-mobility a global reality. Since our founding in 2007, ChargePoint has focused solely on making the transition to electric easy for businesses, fleets and drivers. ChargePoint offers a once-in-a-lifetime opportunity to create an all-electric future and a trillion-dollar market. At ChargePoint, we foster a positive and productive work environment by committing to live our values of Be Courageous, Charge Together, Love our Customers, Operate with Openness, and Relentlessly Pursue Awesome. These values guide how we show up every day, align, and work together to build a brighter future for all of us. Join the team that is building the EV charging industry and make your mark on how people and goods will get everywhere they need to go, in any context, for generations to come. ChargePoint is looking for an AI Engineer who will design, development, and operation of production‑grade Generative AI systems. You will architect and deliver LLM‑powered applications, including Copilot‑style experiences, AI agents, and automation at enterprise scale. You will operate with high autonomy, own complex technical initiatives end‑to‑end, and influence GenAI architecture and standards across teams. Reports To Senior Manager-Information Security What You Will Be Doing As an AI Engineer, you will: - Assist in developing and training ML, deep learning, and NLP models. - Support senior engineers in building and maintaining data pipelines. - Implement basic preprocessing, feature engineering, and data validation tasks. - Contribute to testing, evaluating, and optimizing model performance. - Help deploy models into staging or production under guidance. - Write clean, well‑documented Python code for AI experiments and prototypes. - Work with APIs, model inference scripts, and small‑scale automation tasks. - Collaborate with cross‑functional teams to understand requirements. - Stay updated with emerging AI tools, frameworks, and techniques. Required Skills & Experience - 4+ years of experience in AI/ML engineering or relevant academic projects. - Solid programming skills in Python and ML libraries (NumPy, Pandas, scikit‑learn). - Basic understanding of deep learning frameworks (PyTorch/TensorFlow). - Exposure to NLP, LLMs, or computer vision projects (academic or internships acceptable). - Familiarity with cloud platforms (AWS/Azure/GCP) is a plus. - Understanding of data structures, algorithms, and model evaluation metrics. - Strong analytical thinking and willingness to learn. Preferred Qualifications - Hands‑on experience with ML projects, hackathons, or research work. - Knowledge of Git, Docker, or basic MLOps concepts. - Understanding of vector databases, embeddings, or RAG is a plus. Location Remote location in India We are committed to an inclusive and diverse team. ChargePoint is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status. If there is a match between your experiences/skills and the Company needs, we will contact you directly. ChargePoint is committed to fostering an inclusive workplace that welcomes and supports all qualified individuals. In alignment with this commitment, we ensure that persons with disabilities are provided with reasonable accommodations throughout the employment process. If you need a reasonable accommodation to participate in the application or interview process, to perform essential job functions, or to access any other benefits and privileges of employment, please contact us at accommodations@chargepoint.com. ChargePoint is an equal opportunity employer. Applicants only - Recruiting agencies do not contact.

• Assist in developing and training ML, deep learning, and NLP models. • Support senior engineers in building and maintaining data pipelines • Implement basic preprocessing, feature engineering, and data validation tasks. • Contribute to testing, evaluating, and optimizing model performance. • Help deploy models into staging or production under guidance. • Write clean, well-documented Python code for AI experiments and prototypes. • Work with APIs, model inference scripts, and small-scale automation tasks. • Collaborate with cross-functional teams to understand requirements. • Stay updated with emerging AI tools, frameworks, and techniques