About the Role: We are seeking a dynamic and results-driven Channel Sales Manager to manage and grow our insurance business through channel partners. You will be responsible for driving sales, onboarding new partners, maintaining relationships, and ensuring achievement of revenue targets. Key Responsibilities: Develop and manage strong relationships with channel partners including brokers, agents, banks (bancassurance), and other intermediaries. Identify and onboard new partners to expand distribution reach. Drive insurance product sales (life, health, general, etc.) through assigned channel(s). Deliver regular training and support to partners on products, compliance, and sales techniques. Monitor channel performance and provide regular reports to management. Ensure alignment with company policies, compliance standards, and regulatory guidelines (IRDAI, etc.). Collaborate with internal teams including underwriting, claims, and marketing for smooth operations. Design and execute incentive plans to boost partner productivity. Achieve monthly, quarterly, and annual sales targets. Key Requirements: Bachelors degree in Business, Marketing, Finance or a related field (MBA preferred). Proven experience (5+ years) in channel sales, preferably within the insurance or financial services industry. Strong understanding of insurance products and distribution models (Agency, Bancassurance, Broking, etc.). Excellent communication, negotiation, and relationship management skills. Strong analytical and problem-solving abilities. Ability to travel as required to manage partner relationships.

We are looking for an Associate - Provider Network to join our high-energy team You will be responsible for sourcing, attracting, and onboarding healthcare providers to expand the provider network of our organization. You will play a crucial role in building and maintaining strong relationships with potential providers. The ideal candidate will have a strong understanding of the healthcare industry, excellent communication and negotiation skills, and a passion for relationship building and management. Role & Responsibilities -Responsible for the expansion of the health & wellness network. -Tie-Ups & Empanelment, Renewals of Hospitals, Clinics, Labs & Diagnostics, Radiology Centers. -Responsible for overall activities related to the empanelment of the provider partners. -Provider-contracting and tariff negotiation on the best available rates. -End-to-end relationship management between the Diagnostic centers, hospitals, clinics & individual doctors & diagnostic centers. -Updating records and network presence intermittently. -Ensure an adequate tracking mechanism is in place to quantify the cost savings through negotiated tariffs. -Complete all assigned tasks within TAT. Desired Candidate Profile - Should be at least a graduate - Should have good convincing and negotiation skills. - Should have excellent communication Skills. Employment Type - Full-time, Travel Involved Job Locations - Gurgaon/Chennai/Guwahati/Mumbai/Ahmedabad/Kolkata/Pune/Bangalore/Hyderabad

We are seeking a skilled Senior Full Stack Developer with hands-on experience in Angular 14+, .NET Core, C#, and SQL Server. The role involves leading development efforts, optimizing performance, ensuring secure coding practices, and mentoring junior developers. The ideal candidate will have a strong understanding of version control, CI/CD pipelines, and collaborative team dynamics. Key Responsibilities 1. CI/CD and Release Management Develop and maintain CI/CD pipelines for automated deployments. Collaborate with QA for quality assurance and smooth production releases. Participate in release planning and management. 2. Performance Optimization Identify and resolve software performance bottlenecks. Optimize SQL queries and data access logic. Validate optimizations through QA testing. 3. Information Security Ensure compliance with security standards and guidelines. Work with security teams to address vulnerabilities. Support security audits and implement recommendations. 4. Version Control and Code Quality Use Git for source control and collaboration. Conduct and participate in code reviews. Maintain high code quality through best practices. 5. Caching and Scalability Collaborate on implementing caching solutions (e.g., Redis). Improve application performance and response time. 6. Support Collaboration Work closely with the L2 Support team to explain patches and fixes. Assist in troubleshooting production issues. 7. Team Leadership Manage and mentor junior developers. Guide team efforts in line with company goals. Participate in team meetings and performance reviews. Requirements Technical Skills 35 years of hands-on experience in: Angular 14+ .NET Core and C# SQL Server, including performance tuning Proficient with Git/version control systems Familiarity with CI/CD tools (e.g., Jenkins, Azure DevOps) Exposure to caching frameworks like Redis (preferred) Knowledge of secure coding practices Leadership & Soft Skills Proven experience leading and mentoring a development team Excellent communication and interpersonal skills Strong problem-solving and analytical thinking Team-oriented, adaptable, and proactive attitude Nice to Have Experience working in Agile development environments Knowledge of DevOps practices and tools Prior exposure to regulated environments or compliance-heavy domains

The Opportunity: We are seeking a talented and experienced Senior AI Engineer to play a pivotal role in developing and enhancing our conversational AI capabilities across multiple modalities (text, voice/telephony) and building intelligent agents to drive workflow automation. You will work closely with our Director of AI Engineering, product managers, and other engineering teams to bring our AI vision to life, primarily focusing on fine-tuning off-the-shelf Large Language Models (LLMs) and developing agentic systems for end-users (members, CBO staff, healthcare providers). This is a unique opportunity to apply your AI expertise to solve meaningful problems in the social and healthcare space, directly impacting people's lives. What You'll Do: Conversational AI Development & Fine-Tuning (Text & Voice): Lead the fine-tuning, evaluation, and deployment of pre-trained LLMs (e.g., Gemini, GPT series, open-source models) to create natural, empathetic, and effective conversational experiences for various user interactions via text-based channels (chat, SMS) and voice-based telephonic systems (IVR chatbots). Develop and implement strategies for data collection, preparation, and augmentation to support model fine-tuning and continuous improvement for both text and voice modalities. Design and implement robust evaluation frameworks to measure conversational AI performance, including metrics for accuracy, fluency, empathy, task completion, and call handling efficiency for telephonic agents. Work on prompt engineering, context management, and dialogue flow design to optimize conversational AI interactions across channels. Integrate and manage speech-to-text (STT) and text-to-speech (TTS) services for telephonic AI solutions. Agentic System Development: Design, build, and deploy AI agents that can reason, make decisions, and take actions to automate and optimize key workflows within the platform (e.g., intelligent referral initiation, proactive follow-ups, task management assistance). Develop agents capable of interacting with internal platform APIs, external data sources, and potentially third-party tools to achieve their goals. Explore and implement techniques for agent planning, tool usage, and multi-step reasoning. Collaboration & Technical Leadership: Collaborate closely with the Director of AI Engineering to define AI strategy, architecture, and technical roadmap for conversational AI and agentic systems. Partner with Product Managers to understand user needs and translate them into technical requirements for AI features. Work with platform and application engineers to integrate AI models and agents into the broader ecosystem. Mentor junior engineers and contribute to building a strong AI engineering culture. Stay up-to-date with the latest advancements in LLMs, conversational AI (text and voice), agent-based systems, and MLOps. MLOps & Productionization: Contribute to the development and maintenance of our MLOps infrastructure for training, deploying, monitoring, and iterating on AI models and agents in production. Ensure AI systems are scalable, reliable, and maintainable. Back-end Development: Solid understanding of back-end development principles and experience building or integrating with APIs (e.g., RESTful services) to connect AI models and agents with broader application systems. Familiarity with database technologies (SQL and/or NoSQL) and practical experience in how AI systems interact with data storage and retrieval for training, inference, and logging. What You'll Bring: Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience: 5+ years of hands-on experience in AI/ML engineering, with a significant focus on Natural Language Processing (NLP) and conversational AI. Demonstrable experience developing and deploying AI-powered telephonic chatbots or Interactive Voice Response (IVR) systems, including integration with STT/TTS technologies. Proven experience fine-tuning and deploying Large Language Models (LLMs) for specific tasks and domains. Strong understanding of model architectures, training techniques, and evaluation metrics. Demonstrable experience designing and building AI agents or systems that exhibit autonomous behavior, decision-making, and/or tool usage. Proficiency in Python and common AI/ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face Transformers, LangChain, LlamaIndex). Experience with cloud platforms (GCP preferred, AWS/Azure acceptable) and their AI/ML services (e.g., Vertex AI, SageMaker, cloud telephony APIs). Solid understanding of MLOps principles and experience with tools for model deployment, monitoring, and CI/CD for ML. Skills: Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Ability to translate complex technical concepts to non-technical stakeholders. Proactive, self-starter with a passion for building impactful AI solutions. Nice to Haves: Experience working in the healthcare or social care domain. Familiarity with data privacy and security considerations in regulated environments (e.g., HIPAA). Experience with specific telephony platforms or APIs (e.g., Twilio, Vonage, Google Dialogflow CX). Contributions to open-source AI/ML projects.