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

LanguageWire is a global leader in language and content services, dedicated to helping brands achieve their full global potential. Since 2000, we’ve evolved and built unique technology that enables seamless multilingual communication. Our worldwide network of language experts, together with our intuitive online platform, empowers brands to translate and manage multilingual content effortlessly.    The role you’ll play  You will help improve our existing ML-based products and build new features and services using LLMs. A core part of the role is context engineering — designing the right inputs, retrieval strategies, and prompt structures to get the best possible output from LLMs in production. You'll also contribute to our software engineering efforts when needed, bridging the gap between ML and software engineering on the team.    The team you’ll be a part of    You will work in the Machine Learning Team, where we build LanguageWire's machine translation (MT) and adjacent services to monitor and predict its performance. The team consists of ML Engineers, Analytics Engineers, and Full Stack Software Engineers. You'll collaborate across these disciplines daily, and we value people who can move fluidly between ML experimentation and production engineering. You'll report to the team leader.      If you want to make a difference, make it with us by…    - Context engineering LLM-based translation workflows — designing retrieval strategies, prompt structures, and input pipelines that maximize output quality.  - Productionizing the prototypes that prove their value.  - Staying current with LLM research & tools, bringing relevant findings back to the team.  - Constructing and evaluating experiments to measure what actually works.    In one year, you’ll know you were successful if…    - We have made meaningful progress toward agentic MT — where translation workflows can reason, self-correct, and orchestrate multiple steps autonomously  - Our LLMOps practices are mature enough to deploy, monitor, and iterate on LLM-based services with confidence  - Our ways to evaluate MT have improved, applying techniques such as LLM-as-a-judge.  - We can offer even better personalized MT for our customers using LLMs.        Desired experience and competencies   What you’ll need to bring  - 2–3+ years of relevant experience from areas such as ML engineering, AI engineering, or software engineering with a strong ML focus  - Hands-on experience with LLMs and prompt/context engineering — either professional or through substantial personal projects.  - Experience with best practices and building production grade systems in Python. Knowledge of other programming languages is considered a bonus.  - Experience constructing and evaluating experiments.  - A strong analytical mindset — you think in terms of hypotheses, baselines, and measurable outcomes  - A keen interest in the rapidly evolving LLM space and tooling.      This will make you stand out     Experience with:    - Context engineering — designing retrieval, chunking, and prompt strategies for production LLM systems  - Building agentic products or prototypes  - Training or fine-tuning ML models  - LLMOps — deployment, monitoring, evaluation, and iteration of LLM-based services  - Building production-grade, scalable software systems    Our perks    - Enjoy flat hierarchies, responsibility and freedom, direct feedback, and room to stand up for your own ideas  - Internal development opportunities, ongoing support from your People Partner, and an inclusive and fun company culture  - International company with over 300 employees. Offices in Copenhagen, Aarhus, Stockholm, Varberg, London, Leuven, Lille, Paris, Munich, Hamburg,, Sophia Antipolis, Atlanta, Finland and Valencia  - For this role, we have a full-time FlexiWire@home option for remote work. Of course, you are always welcome at the office to collaborate and connect with your colleagues.  - We take care of our people and initiate many social get-togethers from Friday Bars a to Summer or Christmas parties. We have fun!  - Excellent location in cool and modern offices in the city center, with a great rooftop terrace and a view over the Town Hall Square  - Private health insurance  - Working in an international environment—more than 20 different nationalities  - A dog friendly atmosphere  - Big kitchen with access to organic fruits, nuts and biscuits and coffee.  - Social area and game room (foosball table, darts, and board games)  - Bike and car parking        About LanguageWire   At LanguageWire, we want to wire the world together with language. Why? Because we want to help people & businesses simplify communication. We are fueled by the most advanced technology (AI) and our goal is to make customer's lives easier by simplifying their communication with any audience across the globe.  Our values drive our behavior  We are curious. We are trustworthy. We are caring. We are ambitious.  At LanguageWire, we are curious and intrigued by what we don’t understand. We believe relationships are based on honesty and responsibility, and being trustworthy reinforces an open, humble, and honest way of communicating. We are caring and respect each other personally and professionally. We encourage authentic collaboration, invite feedback and a positive social environment. Our desire to learn, build, and share knowledge is a natural part of our corporate culture.     Working at LanguageWire — why we like it:   “As a Senior Full Stack Engineer at LanguageWire, my day is dynamic and collaborative, particularly within the Machine Learning team. I work closely with Machine Learning Engineers to integrate advanced AI capabilities into our web applications and APIs, aiming to enhance customer experiences through innovative features. I also collaborate with other development teams to ensure seamless integration and alignment of our technology solutions, fostering continuous learning and driving the evolution of LanguageWire's technology.”  (Cristian, Senior Full-Stack Engineer, Poland)  Yes, to diversity, equity & inclusion  In LanguageWire, we believe diversity in gender, age, background, and culture is essential for our growth. Therefore, we are committed to creating a culture that incorporates diverse perspectives and expertise in our everyday work.  LanguageWire’s recruitment process is designed to be transparent and fair for all candidates. We encourage candidates of all backgrounds to apply, and we ensure that candidates are provided with an equal opportunity to demonstrate their competencies and skills.  Want to know more?  We can’t wait to meet you! So, why wait 'til tomorrow? Apply today!  If you want to know more about LanguageWire, we encourage you to visit our website!

Senior AI/ML Engineer Job Summary: Join our dynamic and innovative team at Alter Domus as an AI & ML Engineer, where you will play a pivotal role in designing, building, and maintaining our AI platform and ML pipelines. Working closely with data analysts, data scientists, and various business stakeholders, you’ll ensure data is reliable, efficient, and accessible in a scalable manner. What You’ll Do: Build & Prototype - Assemble off-the-shelf LLMs (Azure OpenAI, AWS Bedrock, Anthropic Claude, Meta LLaMA APIs) into Alter Domus’ products and agentifying our workflows - Rapidly prototype in low-code/visual studios (Firebase Studio, v0, Lovable, etc) and with agentic frameworks (LangChain, AutoGen, MCP/A2A). - Automate & Integrate - Connect your assistants to real systems via MCP, APIs, webhooks and microservices. - Code with AI Helpers - Leverage GitHub Copilot, Cursor, Windsurf, Cline and Q Developer to accelerate script, API and workflow development. - Write unit/integration tests and help maintain our CI/CD pipelines. - Live Projects You’ll Continue to Develop - domusAI: An adaptive AI assistant platform for AD employees that learn user preferences through a dynamic memory management system. It provides personalized support via agentic LLM chats and integrated tool capabilities. The system features semantic document search, contextual understanding, MCP integration, custom agent creator, and secure information retrieval. - domiAI: Our flagship virtual assistant powered by an integrated data and AI platform that transforms client-specific information into vectorized knowledge bases and structured data repositories, enabling real-time generation of meaningful insights, comprehensive reports, search, analytics, and predictions through an intuitive conversational interface. - domusDocs: A document extraction engine to extract intelligence and process business documents leveraging advanced GenAI techniques - Working on Alter Domus Knowledge Based Agents and vectorizing our corpus of data - Multi-Agentic Framework: The architecture that lets specialized AI agents coordinate on complex workflows, build MCPs—your chance to see multi-agent collaboration in action. Learn & Collaborate - Learn: Work with an agile team of data scientists, engineers, and AI specialists to master cutting-edge techniques in data analysis, prompt engineering, and AI implementation. - Collaborate: Rapidly prototype solutions, iterate based on client feedback, and deploy customized solutions that address specific business challenges while continuously expanding your technical capabilities and domain expertise. Support & Iterate - Help define test plans, troubleshoot issues and tune prompts for accuracy and performance. - Gather feedback from business stakeholders and iterate quickly on your prototypes. Who You Are: - Tech Enthusiast: You’ve built at least three AI end-to-end projects deployed in production - Curious Learner: You’re eager to continue exploring new LLM services, low-code studios and agentic frameworks. - Collaborative Communicator: You explain technical ideas clearly in English and enjoy working closely with SMEs and teammates. - Adaptive: You are quickly able to adapt to the development and deployment Golden Path internal to Alter Domus - Self-Starter: You solve problems proactively using online resources, community forums—or even autonomous agents of your own creation. Technical Requirements: - 5+ years of total experience with relevant experience of 3+ years in Python and related data science libraries (NumPy, Pandas, PyTorch, TensorFlow) - Experience creating agentic AI workflows using Lang graph, Autogen, CrewAI or other agent libraries - Experience with vector databases (Pinecone, Qdrant, or similar) - Proficiency with REST APIs and microservice architecture - Familiarity with AWS cloud platform - Experience with containerization (Docker) and orchestration tools (Kubernetes) - Strong understanding of NLP concepts and LLM implementation - Experience with prompt engineering and fine-tuning language models