Company Summary

First American (India) is a GCC (Global Capability Center) of the First American Financial Corporation (NYSE: FAF) family of companies. FAI is a proud member of the FORTUNE 500 companies and has been amongst the Fortune 100 Best Companies to Work For® list for eight consecutive years. First American Financial Corporation provides comprehensive title insurance, closing/settlement, property data and technology solutions. First American (India) creates quality solutions for its customers by combining software, back office, and knowledge processing operations to fulfill First American’s business requirements. Our priorities are our employees, customers, and shareholders - in that order. First American (India) has been ranked amongst India’s Best Companies To Work For™ 2023: Listed amongst the Top 100 by Great Place To Work® India, FAI is also certified Best Workplaces for Women and Workplace with Inclusive Practices. Software Services helps build First American’s product suite that encompasses the best in class Title Insurance, Settlement and Mortgage solutions platforms. Leverages technology product stack across Microsoft platform predominantly to develop, enhance and maintain the best in class applications. The R & D division delivers solutions for the title insurance industry leveraging the best of NLP, AI and ML.

Job Summary

Software Engineer will translate functional requirements into system requirements while developing applications for First American, these are typically web based applications developed by adhering to coding standards and guidelines by following a continuous Build-Integrate-Test (Agile) approach. Technical Trainee will understand the software development lifecycle and has knowledge of the overall application development space combined with a basic understanding of the business and domain. Role will build basic code assigned modules and features using available stacks and knowledge of programming languages generally under supervision, will apply standard trouble shooting and debugging concepts to achieve speed and efficiency.

Competencies:

• Understands and meets stated needs & requirements of the stakeholders, brings contextual nuances in deliverables and work output to truly partner with all concerned stakeholders.
• Adapts to other cultures and unfamiliar situations, thinks on the feet & displays sense of urgency for completion of deliverables.
• Encourages teamwork and collaboration by promoting openness and dialogue, facilitates participation of self and other team members in organizational decisions and motivates other team members and drives pride and positivity in work. Exhibits professionalism in conduct of work and respects others’ views.
• Displays excellent verbal and written communication skills and interpersonal skills required to interact with colleagues including customer, onshore counterpart, supervisors, team members, business analysts and business teams.

Job Description – AI/ML Developer (Full Stack, LLM & Generative AI)

Role Summary

The AI/ML Developer (Full Stack) is a hands-on engineer within the First American Technology organization, focused primarily on building, customizing, and integrating Large Language Model (LLM)–based solutions. This role is ideal for a full stack developer with 3–5 years of experience who has transitioned into AI/ML and is passionate about Generative AI, prompt engineering, and creating custom GPT-based solutions.

The individual will work closely with onshore leads, offshore teams, and business stakeholders to deliver AI-powered applications, while actively coding, experimenting, and supporting AI solutions in production.

Primary Responsibilities – LLMs & Generative AI

• 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.

Full Stack & Application Development

• Develop full stack AI-enabled applications including backend services, APIs, and UI integrations.
• Integrate LLM c…