AI Platform Engineer
The Guardian Life Insurance Company of America24 hours ago
Chennai, IndiaMid Level / Senior
Responsibilities
- Build end-to-end machine learning solutions for classification, regression, recommendation, forecasting, clustering, anomaly detection, and optimization.
- Perform feature engineering, experimentation, hyperparameter tuning, model evaluation, validation, monitoring, and retraining support.
- Develop explainable and auditable machine learning models for business-critical applications.
- Design and build LLM-powered applications, RAG systems, AI copilots, intelligent assistants, and agentic workflows.
- Implement prompt engineering, prompt optimization, evaluation frameworks, structured output generation, and guardrails.
- Develop production-grade AI services, REST APIs, SDKs, reusable components, shared libraries, and microservices.
- Design scalable REST APIs and event-driven architectures using AWS services and messaging technologies.
- Apply software engineering practices including design patterns, object-oriented programming, SOLID principles, clean coding, Git workflows, code reviews, and release management.
- Process and analyze large-scale structured and semi-structured datasets and derive business insights.
- Develop NLP solutions involving transformers, embeddings, semantic search, summarization, information extraction, and conversational AI.
Requirements
- Bachelor's or master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Engineering, or a related field.
- The posting cites 4-8 years of experience in machine learning, artificial intelligence, and generative AI, and also 8-10 years in AI/ML or data science roles.
- Strong Python programming experience developing production-grade AI and machine learning applications, APIs, automation frameworks, and reusable software.
- Strong SQL and data analysis skills, including work with large-scale structured and semi-structured datasets.
- Expertise with classification, regression, clustering, recommendation systems, forecasting, anomaly detection, feature engineering, model evaluation, hyperparameter tuning, cross-validation, and explainable AI.
- Practical deep learning and NLP experience using TensorFlow or PyTorch, with understanding of transformers, embeddings, and modern NLP techniques.
- Hands-on experience building enterprise-grade generative AI applications using LLMs, prompt engineering, RAG, agentic workflows, structured outputs, and evaluation frameworks.
- Experience with LangChain and LangGraph; CrewAI or similar multi-agent frameworks is beneficial.
- Experience designing RESTful APIs, microservices, SDKs, shared libraries, design patterns, object-oriented programming, and SOLID principles.
- Working knowledge of AWS AI application services, Docker, Git, and collaborative software development workflows.
- Experience with Apache Spark, vector databases such as OpenSearch or pgvector, knowledge graphs, GraphRAG, and event-driven messaging such as Kafka is preferred.
Benefits
- The position can be based in Chennai.
- The posting does not state compensation, benefits, or a remote/hybrid work arrangement.
Tech Stack
Categories
About The Guardian Life Insurance Company of America
The Guardian Life Insurance Company of America is a U.S. mutual insurer that provides life and disability insurance, dental and vision plans, annuities, and workplace benefits to individuals, families, and employers. It earns revenue through premiums, investment income, and fee-based wealth and retirement solutions, distributed via financial professionals, employers, and digital channels. Founded in 1860 and headquartered in New York City, it operates nationwide and is owned by its policyholders.