Tiger Analytics is looking for experienced Machine Learning Engineers to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.
We are looking for a hands-on Engineering Lead with deep expertise in Generative AI (GenAI), Large Language Models (LLM) / Small Language Models (SLM) who can lead 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, fluency in modern AI tools, frameworks, cloud-native application stacks, and preferably knowledge of healthcare domain intricacies. You will lead the technical delivery of AI-powered features for a variety of horizonal and vertical healthcare use cases— all while ensuring compliance with enterprise integration standards.
Requirements
Responsibilities
- Lead 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 prompt 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 continuous 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 (OpenAI, LangChain etc.) and make build-vs-buy recommendations.
- Oversee 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 (LangChain, 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, front-end/backend integration, and cloud services (AWS, Azure, or GCP)
- Hands-on experience with containerization (Docker, Kubernetes) and CI/CD pipelines
- Strong understanding of application-level security, performance tuning, and production monitoring
- Nice 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.
#LI-remote
Top Skills
What We Do
Tiger Analytics is a global leader in AI and Analytics, helping Fortune 1000 companies solve their toughest challenges. We offer fullstack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.
Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore, and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare.
We are Great Place to Work-Certified™ and have been recognized by analyst firms such as Forrester, Gartner, Everest, ISG, HFS, and others. Ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine.
In India, our offices are located in Chennai, Hyderabad and Bangalore.
