AI Engineer (LLM Agents & Workflow Automation)

Jobgether; India; Remote; INR 1,450,000 - 2,500,000; Full time

Benefits offered by this job

Competitive salary INR 14.5–25 LPA per

Fully remote: India-wide

Equity opportunity

Direct collaboration with founder

Career growth in AI workflows

Job summary

Jobgether, on behalf of a partner company, seeks an AI Engineer (LLM Agents & Workflow Automation) in India. You will design and deploy AI-powered agents and intelligent workflows to automate mortgage operations, collaborating with US clients and domain experts.

You will own projects from discovery to production, working with Python, LangChain or LangGraph, and various APIs. This is an early-career friendly role with growth in applied AI and production-grade automation.

Qualifications

• 1.5–4 years of software engineering experience with LLMs.
• Strong Python skills for reliable, maintainable apps.
• Hands-on experience with LLM APIs (OpenAI, Anthropic, etc.).
• Experience with LangChain or LangGraph and AI agents.
• API, database, and third-party system integrations.
• Experience deploying and monitoring AI apps in production.
• Excellent written and spoken English for US clients.
• Ability to own problems end-to-end from discovery to production.

Responsibilities

• Understand client workflows and translate them into technical requirements.
• Identify and scope AI solutions with measurable success criteria.
• Develop AI-powered agents and intelligent workflows.
• Build integrations with client applications, APIs and databases.
• Ensure production readiness: logging, monitoring, error handling, human review.
• Monitor performance and deliver continuous improvements.
• Measure impact via processing time, accuracy, and productivity metrics.
• Take end-to-end ownership of projects from discovery to maintenance.

Skills

Python

LLM APIs

LangChain

LangGraph

AI agents

RAG systems

APIs integration

Production monitoring

English communication

Ownership mindset

Education

Bachelors in CS/SE

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Engineer (LLM Agents & Workflow Automation) based in India.

As an AI Engineer, you will design, develop, and deploy intelligent workflows and AI-powered agents that solve real-world operational challenges in the mortgage industry. You will work closely with engineers, domain experts, and US-based clients to understand business processes and turn them into practical AI solutions. From automating document collection and verification to streamlining borrower communication and loan processing, your work will have a direct impact on business efficiency. You will take ownership of projects from initial problem discovery through production deployment and continuous improvement. Working in a collaborative, client-focused environment, you will have the opportunity to experiment with modern LLM technologies and build solutions used by real customers. This is an excellent opportunity for an early-career engineer looking to grow in applied AI and workflow automation.

Accountabilities:

• Understand client workflows: Collaborate directly with client stakeholders, operational teams, and domain experts to understand existing processes, systems, business challenges, and automation opportunities.
• Identify and scope AI solutions: Translate business problems into clearly defined technical requirements, establishing measurable success criteria and practical implementation plans.
• Develop AI-powered agents: Build and deploy LLM-based agents and intelligent workflows that automate operational tasks, process information, and improve business efficiency.
• Build system integrations: Connect AI solutions with client applications, APIs, databases, and third-party platforms to enable seamless information exchange and workflow automation.
• Ensure production readiness: Implement essential production capabilities, including conversation history, logging, monitoring, exception handling, human review, and escalation mechanisms.
• Manage deployment and optimization: Release solutions to real users, monitor performance, resolve unexpected issues, and deliver regular improvements based on operational feedback.
• Measure business impact: Track and evaluate solution performance through metrics such as processing time, accuracy, manual effort reduction, and overall team productivity.
• Take end-to-end ownership: Manage assigned projects from problem identification and development through deployment, maintenance, and continuous enhancement.

Requirements:

• Professional experience: 1.5–4 years of software engineering experience, including hands‑on experience developing applications powered by Large Language Models (LLMs).
• Programming skills: Strong proficiency in Python and the ability to build reliable, maintainable applications.
• LLM expertise: Practical experience working with LLM APIs such as OpenAI, Anthropic, or equivalent platforms.
• Agent and RAG frameworks: Familiarity with frameworks such as LangChain or LangGraph and experience developing AI agents, retrieval‑augmented generation (RAG) systems, or LLM‑powered workflows.
• Integration capabilities: Experience connecting applications with APIs, databases, and third‑party systems to build functional, interconnected solutions.
• Production engineering: Understanding of how to deploy and maintain AI applications, including monitoring, logging, exception handling, and output reliability.
• Communication skills: Excellent written and spoken English, with the confidence to communicate directly with US‑based clients and technical stakeholders.
• Ownership mindset: Ability to independently take responsibility for a defined problem, make technical decisions, and deliver a working solution from initial discovery to production.
• Problem‑solving abilities: Strong analytical thinking, adaptability, and enthusiasm for learning new technologies and understanding unfamiliar business processes.

Nice to have:

• Experience in fintech, lending, mortgage, or other document‑intensive industries.
• Familiarity with OCR technologies, intelligent document processing, or document AI solutions.
• Experience evaluating LLM outputs for accuracy, consistency, and reliability.
• Exposure to production monitoring and performance optimization for AI‑powered applications.
• A bachelor's degree in Computer Science, Software Engineering, or a related technical discipline.

Benefits:

• Competitive compensation: Annual salary ranging from INR 14,50,000 to INR 25,00,000.
• Stock ownership: Opportunity to receive equity alongside your salary.
• Fully remote: Work remotely from anywhere in India.
• Direct collaboration: Work closely with the founder, engineering team, and industry experts.
• Meaningful ownership: Take responsibility for AI projects and influence measurable client outcomes from an early stage.
• Real‑world AI exposure: Build and deploy intelligent agents used by mortgage professionals in the US.
• Career development: Gain hands‑on experience with modern LLM technologies, AI agents, and production‑grade workflow automation.

How Jobgether works:

We use an AI‑powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top‑fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!