Software Engineer

Job highlights

• Bachelors or Masters degree in Computer Science,Engineering,or a related field. . Frontend experience with modern frameworks is a plus
• 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
• Cloud experience with Azure and AWS.

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.

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.

Responsibilities

• 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 ex…