AI/ML Engineer

First American (India)

AI/ML Developer building and customizing LLM-based solutions for First American. Collaborating with teams to deliver AI-powered applications and supporting AI solutions in production.

Posted 7/10/2026full-timeRemote • 🇮🇳 IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing LLM-powered solutions, with a strong focus on prompt engineering, full stack development, and cloud deployment on Azure and AWS. Proficient in applying responsible AI principles and optimizing AI workflows for reliability and performance.

Highest-signal resume keywords

LLM DevelopmentPrompt EngineeringFull Stack DevelopmentCloud Deployment (Azure/AWS)MLOps Workflows

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonGenerative AIRAG ArchitecturesVector DatabasesCI/CD PipelinesDebuggingAPI DevelopmentBackend ServicesUI IntegrationsApplication Security

Industry Keywords

Responsible AI PrinciplesGovernance StandardsProduction Support PracticesAI WorkloadsApplication Functionality

Tech Stack

Tools & technologies

AWSAzureCloudPython

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

Health insurance
Professional development opportunities