2 hours ago
Remote, IndiaMid Level / Senior

Responsibilities

  • Design, build, maintain, and optimize LLM-powered solutions, custom GPTs, domain-specific assistants, prompts, system instructions, and context strategies.
  • Implement prompt chaining, tool calling, basic agentic workflows, and retrieval-augmented generation pipelines using vector databases.
  • Evaluate and improve LLM outputs using quality and safety criteria while applying responsible AI principles, safety guardrails, and governance standards.
  • Develop full-stack AI-enabled applications, backend services, APIs, UI integrations, and reusable components.
  • Integrate LLM capabilities into enterprise applications and debug application or AI issues affecting functionality or user experience.
  • Deploy AI solutions on Azure and/or AWS and support CI/CD pipelines, MLOps workflows, model versioning, deployment, monitoring, and production support.
  • Ensure production solutions are secure, reliable, and cost-aware while collaborating with onshore leads, offshore teams, and business stakeholders.

Requirements

  • 3–5 years of overall software engineering experience and a strong full-stack development background.
  • Proficiency in Python and solid programming fundamentals.
  • Hands-on experience with LLMs, generative AI, prompt engineering, and creating or customizing GPT-based solutions.
  • Familiarity with RAG architectures and vector databases.
  • Experience with Azure and AWS.
  • Basic understanding of MLOps, DevOps, and production support practices.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • Frontend experience with modern frameworks is preferred.

Benefits

  • The role is part of First American India’s Global Capability Center and works with onshore leads, offshore teams, and business stakeholders.
  • First American India states that it supports an inclusive workplace and is an Equal Opportunity Employer.
First American Financial Corporation

About First American Financial Corporation

10,000+ employees
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