LLM Job Vacancies in Coimbatore

Responsibilities: Research, design, and develop LLM-based models and algorithms to solve real-world challenges. Collaborate with cross-functional teams including data scientists, software engineers, and domain experts to understand requirements and develop innovative solutions. Explore and implement state-of-the-art techniques in LLM, NLP, and machine learning to improve model performance and efficiency. Perform data preprocessing, feature engineering, and model evaluation to ensure high-quality results. Optimize LLM models for scalability, speed, and resource efficiency to meet production requirements. Stay updated with the latest advancements in LLM, NLP, and machine learning research and integrate relevant findings into our projects. Contribute to the development of best practices, guidelines, and documentation for LLM development and deployment. Develop and fine-tune Language Models (LLMs) to improve performance and accuracy. Collaborate with research teams to understand project requirements and develop custom LLM solutions. Implement and optimize LLM architectures for specific use cases and applications. Stay up to date with the latest advancements in LLM research and technology. Write clean, efficient, and maintainable code for LLM development projects. Conduct testing and debugging to ensure the quality of LLM implementations. Document code, processes, and best practices for LLM development.

Job Title Chatbot DeveloperLocation Bangalore, Gurgaon, Coimbatore (Hybrid-Onsite)Client: Course5iDuration: 6 Month contract to HireExpected salary- 16 LPAShould have good proficiency in PythonExperience in chatbot development not only using predefined packages/SDKMust have a decent understanding of LLMs and how they interact with APIsExperience working on Gen AI tools/LLMs or should show some interest in learning these technologies and have certification in Gen AI/LLM topicsC#, git, Azure DevOps, Azure Functions, semantic kernel, or similar

Job Purpose:Sales Officer CLAP is a customer-facing professional whose primary responsibility is to source loan against property loans from Open Market through marketing activities, cold calls & references. Also, they need to work closely with the branches and convert the branch leads for Consumer LAP business.Key Accountabilities: Marketing activities in open market on daily basis for leads generation. Branch leads follow up and conversion. Conversion of leads to logins. Achieving assigned monthly productivity Sourcing quality portfolioJob Duties & Responsibilities: Cold calls to be done in the catchment mapped to him / her and ensure the leads are generated for CLAP business. Distribute C-LAP brochures in the catchment area to generate leads. Conduct market visits and promote CLAP to prospective customers. Explain the product details, features and benefits to the customers. Understanding customers requirement for business loan and pitching the right product as per requirement Logins to be done with complete set of documents as per the login checklist. Maintain daily sales report. Collect 2 references from every customer for C-LAP business.

Design, develop, and test prompts to optimize performance of large language models (LLMs) across healthcare use cases. Collaborate closely with AI researchers, product managers, and healthcare domain experts to define prompt requirements that align with clinical workflows. Continuously refine prompts based on testing, real-world performance, and end-user feedback to improve model accuracy, contextual relevance, and user satisfaction. Develop libraries of reusable, modular prompts for common healthcare tasks like summarizing clinical notes, generating reports, and providing diagnostic suggestions. Analyze the behavior of AI outputs, identify edge cases, and troubleshoot inaccuracies to improve system reliability. Ensure prompts adhere to industry-specific compliance standards, such as HIPAA, and support secure handling of sensitive healthcare data. Document prompt designs, iterations, and testing outcomes to build a robust knowledge base for continuous improvement. Stay current with advancements in LLMs, NLP, and AI techniques, particularly as they apply to healthcare challenges.Requirements: Bachelors or masters degree in computer science, Artificial Intelligence, Linguistics, Healthcare Informatics, or a related field. Relevant experience may substitute for formal education. 2+ years of experience working with NLP, large language models (e.g., GPT, Claude, etc.), or AI systems. Demonstrated experience in prompt design, fine-tuning, or optimization of AI models. Strong understanding of healthcare workflows, terminologies (e.g., ICD, CPT codes), and clinical documentation processes. Proficiency in Python, APIs for LLMs, or related tools to test and validate prompts. Ability to analyze AI performance metrics and provide structured feedback for model improvement. Excellent problem-solving and analytical skills, with a keen eye for detail. Exceptional written and verbal communication skills to articulate complex ideas to technical and