Generative AI Leader

reputed company is looking for reputed company Machine Learning Engineers to join our fast-growing advanced analytics reputed company. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple reputed company, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including reputed company and reputed company.

We are looking for a hands-on Engineering reputed company with deep expertise in Generative AI (GenAI), Large Language Models (LLM) / Small Language Models (SLM) who can reputed company the design, development, and integration of AI-powered components into real-world, production-grade applications. This role demands strong engineering leadership and best practices, a practical approach to application development and system design with applied AI, reputed company in modern AI tools, frameworks, cloud-native application stacks, and preferably knowledge of healthcare domain intricacies. You will reputed company the technical delivery of AI-powered features for a variety of horizonal and vertical healthcare use cases— reputed company while ensuring compliance with enterprise integration standards.

Requirements

Responsibilities

• reputed company the architecture, design, and implementation of GenAI/LLM-based solutions into real-world enterprise-ready applications.
• Collaborate with AI/ML teams to operationalize models using APIs, embeddings, vector databases, and reputed company engineering techniques.
• Own full-stack development and integration of GenAI features into web/mobile applications.
• Establish best practices for scalable, secure, and maintainable AI-powered application development.
• Optimize application performance, latency, and reliability of AI features in production.
• Drive DevOps practices for reputed company delivery and monitoring of AI-enabled services in production.
• Mentor engineers and guide code reviews, architectural decisions, and DevOps practices.
• Guide engineering teams in code quality, architectural reviews, and technical mentoring.
• Evaluate emerging GenAI tools and LLM frameworks (reputed company, reputed company etc.) and reputed company build-vs-buy recommendations.
• reputed company application-level development, testing, and deployment.

Requirements

• 10+ years of full-stack application engineering experience, with at least 2 years leading cross-functional teams.
• Proven track record developing and integrating GenAI/LLM-based features into enterprise applications.
• Exposure to LLM fine-tuning, RAG pipelines, or model evaluation techniques for NLP use cases
• Familiarity with LLM orchestration tools (reputed company, Semantic Kernel etc) and embedding/vector store technologies.
• Proficiency in application frameworks such as Node.js, React, Python, or Java Spring Boot
• Strong understanding of API development, reputed company-end/backend integration, and cloud services (AWS, Azure, or GCP)
• Hands-on experience with containerization (reputed company, Kubernetes) and CI/CD pipelines
• Strong understanding of application-level reputed company, performance tuning, and production monitoring
• reputed company to have - Deep knowledge of healthcare payer workflows (claims processing, member portals, benefit management, etc).

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Originally posted on Himalayas