AI/ML Engineer

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. Software Engineer will have Understanding 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. Software Engineer will understand the Agile manifesto and ceremonies, will design and develop basic DB solutions, work with Configuration Management tools to enforce CM practices and processes. Role is required to adhere to the QA standards defined by the organization and will work with a deep understanding of performance bottlenecks, production infrastructure, interfaces and dependencies of the product. 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. Monitors own work to ensure delivery within the desired performance standards. Understands the importance of delivery within expected time, budget and quality standards and displays concern in case of deviation. Takes initiative to develop own technical / behavioral skills; reflects and learns from experiences of self and others. Is receptive to new ideas and different perspectives, Questions routine/ procedures that do not seem efficient and can be improved. 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 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. Cloud, DevOps & MLOps Support - 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. Required Skills & Experience - 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. Education & Good to Have - Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. - Frontend experience with modern frameworks is a plus. Educational Qualification and Experience: Minimum of 15 years of formal education - Graduate / Post Graduate in Computer Science / Information Technology. Professional work experience of 3 to 5 years. FAI is committed to create an environment that respects, supports and inspires all individuals. We do not discriminate on the basis of color, religion, sex, gender identity, sexual orientation and age. At FAI, we celebrate diversity and believe that an inclusive workforce benefits employees, the organization and our community. We are an Equal Opportunity Employer. For more information about our company and dedication to putting People First, check out https://firstam.wd1.myworkdayjobs.com/faicareers.