Software Engineer

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 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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.