\nAt Netomi AI, we are on a mission to create artificial intelligence that builds customer love for the world’s largest global brands.\n\n\nSome of the largest brands are already using Netomi AI’s platform to solve mission-critical problems. This would allow you to work with top-tier clients at the senior level and build your network. \n\n\nBacked by the world’s leading investors such as Y-Combinator, Index Ventures, Jeffrey Katzenberg (co-founder of DreamWorks) and Greg Brockman (co-founder & President of OpenAI/ChatGPT), you will become a part of an elite group of visionaries who are defining the future of AI for customer experience. We are building a dynamic, fast growing team that values innovation, creativity, and hard work. You will have the chance to significantly impact the company’s success while developing your skills and career in AI.\n\n\nWant to become a key part of the Generative AI revolution? We should talk. \n\n\nWe are looking for a Data Science Manager to drive advanced AI models' design, development, and deployment. This role focuses on driving the AI & Product roadmap in the following areas:\n\n\n- LLM Fine-tuning (LoRA & other efficient tuning techniques).\n- Multimodal AI models integrating text, images, and structured data.\n- NLP/NLU-based models for customer support automation and personalization.\n- AI governance frameworks (model monitoring, bias mitigation, explainability).\n- Scalability & ML Ops, optimizing inference pipelines for production. \n\n\nThis high-impact research & development leadership role will require close collaboration with engineering, product, and business teams to integrate AI innovations into Netomi’s offerings.\n\n\n\nKey Responsibilities: \n* Leadership & Strategy - Lead, mentor, and scale a high-performing team of Data Scientists. Define and execute the AI/ML strategy, aligning it with business objectives and product goals. Collaborate with engineering, product, and business stakeholders to deliver AI-driven solutions.\n*  AI/ML Research & Development - Architect and deploy conversational AI models, including LLM fine-tuning using LoRA (Low-Rank Adaptation) and other parameter-efficient tuning techniques. Multimodal AI models (MLLMs) integrating text, images, and other data sources. NLP/NLU models optimized for customer service and personalization. Optimize AI/ML pipelines for speed, scalability, and cost-efficiency. Design AI governance frameworks, including model monitoring, bias mitigation, and explainability.\n*  Model Training & Fine-Tuning - Oversee data collection, annotation, and preparation for model training. Implement state-of-the-art fine-tuning methods to enhance LLM performance. Leverage Retrieval-Augmented Generation (RAG) and knowledge distillation to enhance AI capabilities.\n* Scalability & ML Ops - Work with engineering teams to deploy models using scalable ML Ops practices.Optimize data pipelines, including RDS, Elasticsearch, and vector databases for AI applications. Ensure continuous model monitoring, retraining, and performance optimization.\n* AI Governance & Security - Implement AI model governance, compliance, and risk mitigation strategies. Develop ethical AI frameworks for fairness, transparency, and security. Ensure PII (Personally Identifiable Information) masking and anonymization for privacy protection.\n\n\n\nRequirements\n*  5+ years of experience in Data Science, with a focus on NLP, Deep Learning, or LLMs.\n*  3+ years of experience managing data science teams.\n* Strong Python programming skills and experience with ML libraries (TensorFlow, PyTorch, sci-kit-learn).\n* Expertise in LLMs, deep learning, NLP, and chatbot development.\n* Strong knowledge of statistical modelling, probability, and experimental design.\n* Experience with LLM fine-tuning, RAG, LoRA, and transformer models (GPT, BERT, etc.).\n* Ability to rapidly comprehend and implement research papers in AI/NLP.\n* Experience in ML Ops, model deployment, and optimization techniques.\n* Strong communication skills to collaborate with technical and non-technical stakeholders.\n* Experience working with a startup is strongly preferred. We need someone who can thrive in a fast-moving, high-impact environment, driving AI initiatives from concept to production at scale\n\n\n\nGood-to-Have (Bonus) Skills:\n* Familiarity with vector databases, RDS, and Elasticsearch for AI applications.\n* Knowledge of Multimodal AI, Speech Recognition, and NLG (Natural Language Generation)\n* Background in AI security, model governance, and bias mitigation strategies.\n\n\n\n\n\n\nNetomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Elasticsearch and Senior jobs that are similar:\n\n $40,000 — $80,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nGurugram

Purpose of Position\nWe are seeking a Senior AI Engineer to join our growing AI team with a mission to design, develop, and deploy AI models that drive our conversational applications. The role will focus on leveraging advanced AI technologies, specifically in Large Language Models (LLMs), to create scalable and impactful solutions that enhance our products.\nKey Tasks & Responsibilities\n\n\nDesign, Develop, and Deploy AI Models: Focus on creating and deploying AI models for conversational applications, leveraging advanced LLM (Large Language Model) techniques.\n\nCollaborate with Product and Design Teams: Work closely with cross-functional teams to understand requirements and translate them into AI-driven solutions.\n\nAPI Development and Integration: Develop and integrate APIs using frameworks like FastAPI, Django, or Flask to facilitate AI functionalities within larger systems.\n\nUtilize Advanced AI Tools: Work with embedding models, vector databases, and prompt engineering to enhance the performance and capabilities of conversational AI.\n\nContinuous Evaluation and Improvement: Evaluate LLM and RAG (Retrieval-Augmented Generation) implementations and iterate on these to boost system performance, accuracy, and efficiency.\n\nProblem-Solving and Collaboration: Engage with other engineers and stakeholders to solve complex challenges and bring high-quality AI-driven features to users.\n\nStay Current with AI Trends: Keep abreast of the latest AI and ML trends, and proactively suggest improvements or innovative solutions that can be applied.\n\nMentor Junior Team Members: Help guide junior engineers by sharing knowledge, providing constructive feedback, and fostering a supportive team environment.\n\n\n\nSkills & Expertise\nRequired:\n\n\nAt least 7 years experience as a Software Engineer, 5 of them working with Python.\n\nProficiency in Python and experience building large and scalable Python applications.\n\nStrong understanding of LLMs, Retrieval-Augmented Generation (RAG), embedding models, vector databases, and prompt engineering.\n\nExperience with LangChain and developing LLM-based applications.\n\nExcellent verbal and written communication skills—able to explain complex technical concepts in a clear and approachable manner.\n\nStrong sense of ownership and accountability for the work produced.\n\nTeam player—eager to collaborate, listen, and contribute actively to team success.\n\nProblem-solving mindset—willing to tackle complex challenges with creativity and perseverance.\n\nFluent in both written and spoken English.\n\n\n\nNice to have:\n\n\nExperience with LLM and RAG evaluation using Langsmith.\n\nExperience with LangGraph framework and agents in general.\n\nFamiliarity with chatbot development.\n\nExperience with MLOps.\n\nExperience with other programming languages and containerization tools.\n\nKnowledge of fine-tuning, reinforcement learning, and data augmentation techniques.\n\nFamiliarity with cloud platforms, CI/CD, and system design.\n\nPrevious experience in a startup or fast-paced environment.\n\nEnthusiasm for staying up-to-date with the latest developments in AI and tech.\n\nLeadership experience or skills—comfortable taking initiative and driving smaller projects.\n\n\n\nOur Offer\n\n\n* Flexi-Week and Work-Life Balance: We prioritise your mental health and wellbeing, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves.\n\n* Remote Working Allowance: You will receive a monthly allowance to cover part of your running costs. In addition, we will support you in setting up your remote workspace appropriately.\n\n* Flexi-Office: We offer an international culture and flexibility through our Flexi-Office and hybrid/remote work possibilities to work across Awin regions\n\n* Meal Vouchers: You will be supported with a certain net sum to spend it on a variety of lunches.\n\n* Health & Wellbeing: The insurance covers several types of health, vision and / or dental treatments for you and for up to one additional family member.\n\n* Remote Working Furniture Package: After 3 months of employment, you will be eligible for a furniture package, which should enable you to set up a proper workplace at your remote working location\n\n* Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer program.\n\n\n\nEstablished in 2000, Awin is proud of our dynamic, social and inclusive culture.\nLike all businesses, we’ve had to adapt and nurture our culture in a virtual environment. Our virtual ‘Life @ Awin’ hub brings our colleagues from across the globe together for various social activities.\nDiversity & Inclusion are paramount to us, and we proudly pursue and hire diverse team members. We champion uniqueness and authenticity; this is who we are at our core. Our network of affiliate partnerships are diverse and transparent, as are the employees powering our vision to build the world’s leading open partner ecosystem. We welcome all backgrounds, identities, and experiences. If you need support at any point in the application or interview process, please let us know.\nApply now to begin the next stage of your career at a progressive company that supports both your professional and personal development.\n#LI-RS \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Cloud, Senior and Engineer jobs that are similar:\n\n $55,000 — $100,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nBerlin, Berlin, Germany

We, at **Octopods** ([https://octopods.io](https://octopods.io/)), are a small, sharp-focused and deliberate team. We built Octopods to connect businesses using live chat software (like **Intercom**) to the most popular messaging channels out there (like **WhatsApp, Twitter, Facebook, etc**). We started small, and we want to keep staying small, bootstrapped, and very profitable. But we do dream big, and we have plenty of big plans. We want to tackle our next set of exciting challenges in the next years to come and this is where YOU come in the picture, we want your help for us to do so.\n\n\n\n**About the role,**\n\n\n\nWe are looking to hire a Senior Frontend Engineer to join our small distributed team around different parts of Ireland, Canada and other spots around the world. Ideally, we are looking for a frontend generalist, someone who can wear many hats, someone who is pragmatic, and most importantly, who thinks from first principles (https://fs.blog/2018/04/first-principles). **We work remotely, and so this is a 100% remote role.** You can choose to work anywhere you'd like having at least 6 hours overlapping with GMT+0.\n\n\n\nHere are few pieces of work you will have a chance to work on,\n\n\n\n- Lead our frontend engineering efforts and set the bar for our Senior Frontend Engineer.\n\n- Architecting our monolithic frontend for our new upcoming suite of products.\n\n- Building omnichannel conversational experiences for businesses to communicate with their customers.\n\n- Building a chatbot designer or editor from scratch to support major business messaging channels.\n\n- Founding a design system for our suite of new upcoming products.\n\n- Building or choosing a UI Kit and wrap it up with framework components.\n\n- Collaborating tightly with our Product Designer to solve complex design problems, empathetically.\n\n- And a few more equally exciting and challenging projects!\n\n\n\n**About you,**\n\n\n\nA little bit about what we think can be a good fit for us,\n\n\n\n- You worked with Javascript, and would probably put an argument choosing **Typescript** over it.\n\n- You worked extensively with Vue.js or React.js in the last 4 years & above.\n\n- You worked & architected data flow patterns with a front-end app.\n\n- You worked with WebSockets, and/or realtime web technologies.\n\n- You worked with REST, GraphQL APIs and you can put an argument for using one over the other.\n\n- You understand the value of writing tests, as an investment for the future.\n\n- You worked & grokked with Webpack and can set up reliable build pipelines.\n\n- You have solid HTML5 + CSS3 foundations.\n\n- You worked on a SaaS product before, and you understand the Laws of UX well.\n\n- You did some work with Ruby. The more exposed you are to it, the merrier.\n\n- You write your code with empathy for your fellow Engineers, and for future readers.\n\n- You have are self-driven, and can self-manage.\n\n- You can write and communicate in English succinctly. You wrote technical plans before, we do write a lot.\n\n- You love to take on complex problems, and you don't shy away from fixing issues.\n\n- You have some remote experience, and you understand its challenges.\n\n- You can take, and give feedback openly.\n\n- You are kind, and there is ≥5% a chance we will see you smile. :)\n\n- You like to work in a small team, and have direct ownership of your work.\n\n- You think of technology, not as an ideology but rather as means to push value into the world.\n\n\n\nYour engineering skills are as important as your entrepreneurial skills to us. We value frontend generalists who can take a problem from its most ambiguous state and deliver its end value to solve a real world problem for our customers.\n\n\n\n**About pay & benefits,**\n\n\n\n- A salary up to 4,000$ per month or up to 48,000$ yearly (USD).\n\n- 1 full-month yearly bonus subject to yearly performance.\n\n- Reimbursing your monthly internet bill.\n\n- A new laptop and equipment that you will need.\n\n- 100% remote, stress-free and friendly environment.\n\n- We don't have managers, we will work to enable you be successful and get out of the way.\n\n- You'll have the opportunity to have a massive impact due to our size and being an early stage.\n\n\n\n**Next steps,**\n\n\n\n- If you'd like to work with us, send us your resume, and a personal message. :)\n\n- If we feel like we can work together, we will send you an email with the next steps. \n\nPlease mention the words **CALL HOUR CUP** when applying to show you read the job post completely (#RMTguOTcuOS4xNzE=). This is a feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n $30,000 — $48,000/year\n
\n\n#Benefits\n 🌎 Distributed team\n\n
\n\n#Location\nEurope