AI Engineer

Beacon.li; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Competitive salary

Professional growth

Collaborative environment

Cutting-edge technology

Job summary

Beacon on-site in Hyderabad is seeking an AI Engineer with 1-2 years of experience to design and deploy AI agents and tooling for production environments. You will work directly with customers to solve concrete problems, turning one-off solutions into scalable agent frameworks and reusable tooling.

This role focuses on making agents work reliably at scale, with opportunities to impact real deployments and improve AI behavior predictability.

Qualifications

• Experience building agents, workflows, or complex automation systems.
• Hands-on experience shipping production software.
• Familiarity with LLM behavior, limitations, and failure modes.

Responsibilities

• Design and deploy AI agents and tooling for production use.
• Collaborate with customers to turn solutions into scalable frameworks.
• Iterate on deployments based on feedback and performance metrics.

Skills

Agents & workflows

Systems thinking

Production software

JavaScript

LLM basics

Tools

JavaScript

HTML/CSS

Job description

Job Title: AI Engineer Location: On-Site, Hyderabad Job Type: Full-Time

Experience: 1-2 yrs

About the Company

Beacon is an AI-powered implementation orchestration platform that automates enterprise SaaS deployments end-to-end, from initial configuration through post-launch hypercare. By eliminating manual processes and fragmented workflows, Beacon enables SaaS vendors to deliver implementations over 60 percent faster while ensuring consistent, audit-ready outcomes across complex, multi-tenant customer environments. Beacon is trusted by leading enterprise clients across HR, fintech, logistics, and consumer platforms, and is backed by Sorin Investments, Athera Venture Partners, JAFCO Asia, and Unicorn India Ventures.

The Role

As a Forward Deployed AI Engineer, you will design and deploy AI agents and tools in production environments. You'll work directly with customers to solve concrete problems, turning one-off solutions into scalable agent frameworks and reusable tooling.

This role is about making agents actually work at scale.

What You'll Work On

Agents at Scale (Core Focus)

• Design and build AI agents that execute multi-step workflows reliably
• Orchestrate agents across tools, APIs, and human-in-the-loop workflows
• Turn customer-specific logic into reusable agent primitives

Tools for Operating AI Systems

• Build internal and customer-facing tools to operate, debug, and control agents
• Create systems for:
• Validation and review
• Manual intervention and overrides
• Focus on making AI behavior inspectable and predictable

Context Management at Scale

• Design strategies to manage large and evolving context
• Decide what to retrieve, summarize, compress, or discard
• Optimize for accuracy, latency, and cost in real deployments

Forward-Deployed Work

• Embed with customers to understand real constraints
• Deploy AI systems into production and iterate quickly
• Feed learnings back into product and platform design

What We're Looking For

• Experience building agents, workflows, or complex automation systems
• Strong systems thinking and comfort with ambiguity
• Hands-on experience shipping production software
• Familiarity with LLM behavior, limitations, and failure modes
• Experience with JavaScript and building simple UIs (HTML/CSS) is useful.

What We Offer

• Competitive salary and benefits.
• Opportunities for professional growth and skill development.
• A collaborative, innovative, and inclusive work environment.
• The chance to work with cutting-edge technology and make a real impact on customer success.