Job Title : Account Manager Location : India Reports To : Account Director Experience : 7+ years of relevant experience Apply Here: https: / / livelike.com / careers / jobId=OiVIWxqEXt9S Company Overview : LiveLike is a leading provider of immersive and interactive experiences for live sports and events. Our mission is to revolutionize the way fans experience live sports by providing personalized, social, and engaging environments. We are now looking for a passionate Product Manager to focus on developing and enhancing our Community & Social product offerings, helping us build a strong, vibrant community of users and enhancing their experience during live events. Role Overview The Account Manager will be the primary point of contact for LiveLike s client accounts, responsible for maintaining strong relationships, ensuring client satisfaction, and driving successful project outcomes. This role involves deep collaboration with internal product, engineering, design, and operations teams to deliver best-in-class client experiences while identifying opportunities to expand business value. Key Responsibilities Client Relationship Management: Build and maintain strong, long-term relationships with assigned clients, ensuring ongoing satisfaction and partnership success. Project Oversight: Coordinate with cross-functional teams to ensure timely and quality delivery of product features and services in alignment with client expectations. Client Communication: Serve as the go-to liaison for client communications, providing clear updates, managing timelines, and addressing feedback or escalations. Strategic Consultation: Understand client objectives and recommend solutions that align with LiveLike s product capabilities and roadmap. Product Familiarity & Education: Ensure clients understand the full value of the product, including educating them on features already available and included in their contracts. Issue Resolution: Proactively identify potential roadblocks or concerns and work cross-functionally to resolve them efficiently. Upsell & Retention Support: Recognize growth opportunities and collaborate with the sales and product teams to support renewals and upsells. Documentation & Tracking: Maintain up-to-date records in internal systems (e.g., JIRA, Slack, Google Docs) for tracking client interactions, deliverables, and key decisions. Cross-Team Coordination: Work closely with Product, Engineering, and QA teams to align deliverables and priorities. Required Skills and Qualifications Experience: 4 7 years in account management, client services, or customer success roles, preferably in tech, SaaS, or digital media. Communication: Excellent verbal and written communication skills, with the ability to manage both internal and external stakeholders. Organizational Skills: Strong project management and organizational skills with attention to detail. Tech Fluency: Comfortable using tools like Slack, JIRA, Google Workspace; familiarity with CMS platforms is a plus. Client-Centric Mindset: Proactive, empathetic approach to client engagement and problem-solving. Multitasking Ability: Capable of managing multiple accounts, priorities, and deadlines in a fast-paced environment. Team Collaboration: Ability to collaborate with cross-functional teams across different time zones. Preferred Qualifications Experience in sports tech, media, or fan engagement platforms. Knowledge of digital product lifecycles and basic technical workflows. Familiarity with CRM platforms and data-driven account strategies. Why Join LiveLike Global Exposure: Collaborate with teams across India, Macedonia, Paris, and Canada. Growth Opportunities: Advance your career in a dynamic and rapidly growing environment. Culture of Ownership: Work with a team that values initiative, collaboration, and creative problem-solving. Work Flexibility: Enjoy a remote-first work culture with flexible hours. Diversity & Inclusion: Be part of an inclusive team with strong gender balance and cultural diversity. Impactful Work: Play a key role in shaping the experience of millions of users globally.
Develop, test, and maintain scalable developer-facing REST APIs using Python and Django Collaborate closely with frontend, infrastructure, and product teams to deliver robust, high-performing features. Optimize APIs and backend performance to ensure smooth user experiences across the platform. Ensure the stability and scalability of the backend infrastructure by implementing best practices and architecture. Write idiomatic, efficient, and maintainable code that adheres to community and industry standards. Troubleshoot and debug any issues related to backend functionality, integrating third-party services, or API calls. Mentor junior developers and contribute to code reviews and knowledge sharing within the team. Required Skills and Qualifications: 7+ years of professional experience in backend development using Python and Django. Strong understanding of RESTful APIs and experience building them from the ground up. Experience working with cloud platforms (AWS, Google Cloud, etc.) and managing cloud infrastructure. Proficiency in SQL and working with relational databases (PostgreSQL, MySQL, etc.). Knowledge of version control systems (Git) and continuous integration pipelines. Understanding of web application architecture and scalable system design. Excellent problem-solving and analytical skills with attention to detail. Familiarity with Agile methodologies and working in fast-paced development environments. Bonus Skills: Experience with Docker, Kubernetes, or other containerization technologies. Experience working with event-driven architectures and real-time data processing. Familiarity with front-end frameworks and working knowledge of JavaScript/Node.js. Previous experience with nginx, Lua, or OpenResty
Company Overview We are expanding our product portfolio to build, scale, and maintain an innovative AI Agentic solution that simplifies resource management in our platform. This transformative product leverages cutting-edge Large Language Models (LLMs), Generative AI, and autonomous agent frameworks to deliver intelligent, self-optimizing resource management capabilities. About the Role We are seeking an exceptional Senior Full Stack AI Engineer to join our Genie team. You will be a key technical contributor responsible for designing, developing, and deploying end-to-end AI-powered applications that leverage Large Language Models (LLMs) and autonomous agent frameworks to revolutionize resource management. This role requires a unique blend of full-stack development expertise and deep AI/ML knowledge, with hands-on experience building production-grade GenAI and LLM-based solutions. You will work at the intersection of modern web development and cutting-edge AI technology, building scalable, intelligent systems that can reason, learn, and act autonomously to optimize resource allocation and management workflows. Key Responsibilities AI Machine Learning Development Design, develop, and deploy agentic AI systems using frameworks like LangChain, LangGraph, CrewAI, or AutoGen Build and optimize multi-agent workflows with capabilities including: Semantic search based Retrieval Augmented Generation (RAG) for context-aware responses Tool usage and API orchestration Context Engineering with memory and user personalisation Implement LLM-powered features including intelligent resource recommendations, automated workflow optimization, and predictive analytics Develop and fine-tune prompts for various LLM models (GPT-4, Claude, Llama, etc.) Design guardrails, human-in-the-loop patterns, and response verification systems to prevent hallucinations and ensure accuracy Drive architecture for AI observability, safety and evaluation (precision, F1, hallucination detection, cost metrics). Implement model evaluation frameworks and monitoring systems to track AI system performance Full Stack Development Build responsive, performant web applications using Next.js , React , and TypeScript Design and implement RESTful APIs and GraphQL endpoints using Python (FastAPI/Flask) and Node.js Develop backend services that integrate with LLM APIs (OpenAI, Anthropic, AWS Bedrock) Create intuitive user interfaces that seamlessly incorporate AI capabilities Implement real-time features using WebSockets for streaming LLM responses Write clean, maintainable, well-documented code following best practices and design patterns Deploy and manage applications on AWS services including: Lambda, ECS/EKS, S3, API Gateway, SageMaker, Bedrock DynamoDB, RDS, ElastiCache CloudWatch, X-Ray for monitoring and observability Implement CI/CD pipelines for automated testing and deployment Should have fair understanding of MLOPS Design scalable, fault-tolerant architectures that can handle high-volume AI workloads Optimize infrastructure costs while maintaining performance and reliability Collaboration Innovation Collaborate with product managers, designers, and stakeholders to translate business requirements into technical solutions Participate in code reviews, architectural discussions, and technical design sessions Mentor junior engineers and share best practices for AI-driven development Stay current with the latest advancements in LLMs, agentic AI, and machine learning techniques Document system architectures, API specifications, and implementation details Contribute to the evolution of our AI development standards and practices Required Qualifications Technical Skills Programming Languages : 5+ years of professional experience with: Python (advanced proficiency) - Langraph, Langchain, NumPy, Pandas, scikit-learn TypeScript/JavaScript (ES6+) Strong understanding of object-oriented and functional programming paradigms Full Stack Development : 4+ years of experience with: Frontend : Next.js, React, React Hooks, Context API, TailwindCSS, Shadcn/UI Backend : Node.js, Fastify, FastAPI, Flask APIs : RESTful design, GraphQL, WebSocket implementation Databases : PostgreSQL, MongoDB, Redis AWS : EC2, Lambda, S3, ECS/EKS, SageMaker, Bedrock, CloudWatch CI/CD : GitHub Actions, Jenkins, GitLab CI AI/ML Expertise : 2+ years hands-on experience with: LLM Integration : OpenAI API, Anthropic Claude, AWS Bedrock, Azure OpenAI Agentic Frameworks : LangChain, LangGraph, CrewAI, AutoGen, Claude SDK or similar Observability and Traceability : Arize Pheonix, Langfuse, LangSmith, AgentOps RAG Systems : Building retrieval pipelines, chunking strategies, embedding generation Vector Databases : Pinecone, Weaviate, FAISS, ChromaDB, or Qdrant ML Libraries : TensorFlow, PyTorch, Hugging Face Transformers Prompt Engineering : Advanced techniques for optimization and consistency Experience Requirements Bachelors or Masters degree in Computer Science, Engineering, AI/ML, or related field 5-7 years of professional software engineering experience 2+ years of hands-on experience building production LLM/GenAI applications Proven track record of deploying and scaling AI-powered applications in production environments Experience with the complete software development lifecycle (SDLC) Strong understanding of software architecture patterns and system design principles. Preferred Qualifications Experience with model fine-tuning and custom model deployment Knowledge of machine learning algorithms, neural networks, and deep learning architectures Familiarity with MLOps practices and tools (MLflow, Weights Biases, Kubeflow) Experience with streaming data pipelines (Kafka, Kinesis) Understanding of AI safety, ethics, and responsible AI practices Contributions to open-source AI/ML projects Soft Skills Excellent problem-solving abilities and analytical thinking Strong communication skills with ability to explain complex technical concepts to non-technical stakeholders Self-motivated with ability to work independently and as part of a cross-functional team Passion for learning and staying at the forefront of AI technology Ability to thrive in a fast-paced, iterative development environment Strong attention to detail with commitment to code quality and best practices What We Offer Work remotely, Yes thats right we are proud remote first company Opportunity to work on cutting-edge AI technology with real-world impact Dedicated AI Coding assistant Collaborative team environment with talented engineers and researchers Competitive salary and equity compensation Comprehensive health, dental, and vision insurance Modern tech stack and tools