\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

\nAbout us:\n\n\nWe are the world’s largest telenutrition and foodcare solution, backed by a national network of Registered Dietitians and designed to yield consistently healthier food choices, lasting behavior change and long-term results.  Foodsmart’s highly personalized, digital platform guides members through a personalized journey to eating well while saving them time and money.  Foodsmart seamlessly integrates dietary assessments and nutrition counseling with online food ordering and cost-effective meal planning for the whole family that makes the most of ingredients at home and on the go. With national and regional retail partners across the US now accepting SNAP/EBT, Foodsmart helps bring healthier food within reach to eligible members and can also assist with SNAP enrollment.  \nFoodsmart has supported over 1.8 million members from over 700 health plan, employer and health system clients, with leading strategic and venture investors like Advocate Health, Intermountain Health, Memorial Hermann, Blue Cross Blue Shield of Massachusetts, Mayfield Fund and Founder Collective.\nLearn more at www.foodsmart.com\n\n\nAbout the role:\nThe Customer Support team is a vital part of Foodsmart, ensuring the best possible customer experience.The Customer Support Manager is responsible for leading and managing the team to achieve excellent customer support outcomes. This role is essential in enhancing the overall customer experience and ensuring customer satisfaction. Foodsmart is seeking a team member to join the Customer Support team who can bring leadership and innovation to deliver top-notch customer service.\n\n\n\nYou will:\n* Leadership and Team Management\n* Lead, inspire, and mentor a team of customer service professionals, fostering a culture of excellence, teamwork and service quality.\n* Set clear goals, expectations, and KPIs for the team to achieve outstanding customer support outcomes.\n* Conduct regular meetings to review performance metrics, address concerns and to ensure all team members are informed of updates and changes to processes or policies.\n\n\n\n* Customer Experience Enhancement\n* Empathize with customers especially those with limited technology experience \n* Develop and implement strategies to ensure exceptional customer experiences at every touchpoint.\n* Monitor customer feedback, analyze data, and use insights to drive improvements in customer support processes and procedures.\n* Collaborate with cross-functional teams to address customer pain points and enhance the overall customer journey.\n* Support System Migration - Spearhead the transition to a new telephony system including flow design, inbound phone number transition, inquiry prioritization, inquiry routing, etc.\n* Multi-language IVR - Implementation of an IVR with multi-language capabilities aimed at escalating certain calls and rerouting others to help-docs with ability to send SMS texts messages with helpful links. This IVR will extend 12+ levels and should aim to direct and automate inquiries to appropriate resources.\n* Multi-language Chatbot - The IVR and Chatbot should leverage the same framework with the goal of reducing the need for human interaction and increase the reliance on supporting articles and communications.\n* Customer Facing Knowledge Base - Migrate and update existing support microsite to the new interface and/or website. Ensure the micro-site follows a similar flow design as the IVR and chatbot to guide users to their desired resources and properly prioritize content.\n* Infrastructure Evaluation - Create a model for necessary staffing and tools to identify any gaps in flows or staffing that need to be addressed in order to properly manage current support inquiries.\n* Internal Registered Dietitian Support System - Foodsmart Registered Dietitians raise a large number of inquiries while interacting with customers and have operating questions of their own. We need a system to organize, prioritize and route these inquiries appropriately. \n\n\n\n* Continuous Improvement Initiatives\n* Champion a culture of continuous improvement, innovation, and entrepreneurial thinking to streamline customer support operations and increase efficiency.\n* Monitor and analyze customer feedback, drawing insights to improve the customer experience and service quality.\n\n\n\n* Data-Driven Decision Making\n* Utilize data analytics and metrics to track customer success performance to ensure the company remains at the forefront of industry.\n* Prepare and present reports to senior management, highlighting key performance indicators, trends, and improvement opportunities.\n\n\n\n* Customer Relationship Management\n* Collaborate with Sales and Product teams to ensure alignment on customer needs and product/service enhancements.\n\n\n\n\nYou are:\n* Proactive and act as an advocate for your customers.\n* Take pride in your work and approach every project with enthusiasm and excitement.\n* Excellent in communication and interpersonal skills, with the ability to build rapport with customers and internal teams.\n* Exceptional problem-solving abilities and a customer-centric approach.\n* Knowledge of HIPAA privacy rules and HIPAA consent authorization\n\n\n\n\nYou have:\n* Minimum 5+ years of customer support experience.\n* Proven experience in a leadership role within a customer success, customer service, or related field.\n* Strong entrepreneurial mindset with a track record of driving innovation and process improvements.\n* Proficiency in data analysis and familiarity with customer support software and CRM systems.\n* Bachelor’s degree (BA/BS) in Business, Marketing, Communications, or related field or equivalent work experience.\n* Robust expertise in building and managing sophisticated customer support workflows to be leveraged in an IVR, chatbot and inbound automated response system\n* Advanced knowledge of customer support automation tools\n\n\n\n\nPreferred Skills:\n* B2B2C customer support experience\n* Healthcare support experience\n* Experience in fast-paced start-up environment\n* Expert in Microsoft Excel/Google Sheets\n* Use of AI/predictive modeling to optimize support medium and efficiency\n* Experience with Zendesk, Five9, Intercom support softwares or comparable software\n\n\n\n\n\n$75,000 - $105,000 a yearRole: Customer Support ManagerLevel: M4Location: RemoteBase Salary Range: $75,000/yr to $105,000/yr + equity + benefits\nOur salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries at our headquarters in San Francisco, California. Individual pay is determined by work location, job-related skills, experience, and relevant education or training.\n\n\nAbout our benefits and perks:\n\n\nRemote-First Company\nUnlimited PTO\nFlexible & remote location\nHealthcare Coverage (Medical, Dental, Vision)\n401k, bonus, & stock options\nCommuter benefit \nGym reimbursement \n\n\n\n\nFoodsmart  is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other protected class.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Education, Microsoft, Senior and Sales jobs that are similar:\n\n $50,000 — $85,000/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\nUS