AI/ML Engineer

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First American (India)

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1994

💸 Finance

🤝 B2B

💰 $450M Post-IPO Debt - First American on 2024-09

Finance • B2B

First American (India) is a Global Capability Center (GCC) of First American Financial Corporation that provides software development, data & analytics, back-office, and knowledge-processing services to support title insurance, settlement services, mortgage solutions and related risk-management operations across the US, UK, Australia and Canada. With locations in Bangalore, Hyderabad and Salem, FAI delivers corporate IT and production services for its parent company and emphasizes a people-first culture recognized as a top workplace.

📋 Description

• Design, build, and maintain LLM-powered solutions including custom GPTs and domain-specific assistants. • Develop and optimize prompts, system instructions, and context strategies for accuracy and reliability. • Implement prompt chaining, tool calling, and basic agentic workflows. • Build and support Retrieval-Augmented Generation (RAG) pipelines using vector databases. • Evaluate, test, and improve LLM outputs using defined quality and safety criteria. • Apply responsible AI principles, safety guardrails, and governance standards in all implementations. • Develop full stack AI-enabled applications including backend services, APIs, and UI integrations. • Integrate LLM capabilities into existing enterprise applications. • Build reusable services and components to support AI features. • Debug and resolve application or AI-related issues impacting functionality or user experience. • Develop and deploy AI solutions on Azure and/or AWS. • Support CI/CD pipelines for application and AI workloads. • Assist with MLOps workflows including model versioning, deployment, and monitoring. • Ensure solutions are secure, reliable, and cost-aware in production environments.

🎯 Requirements

• 3–5 years of overall software engineering experience • Strong full stack development background • Proficiency in Python and solid programming fundamentals • Hands-on experience with LLMs, Generative AI, and prompt engineering • Experience creating or customizing GPT-based solutions • Familiarity with RAG architectures and vector databases • Cloud experience with Azure and AWS • Basic understanding of MLOps, DevOps, and production support practices.

🏖️ Benefits

• Health insurance • Professional development opportunities