AI Engineer Software

Front Door Defense; Bengaluru; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Automation Anywhere seeks an AI Engineer to build production AI agents and integrate RAG-powered workflows into enterprise processes. The role requires 2–5 years in software engineering with hands-on AI/automation production experience, plus cloud AI and RPA certifications.

Based in Bangalore, this onsite, full-time position emphasizes tool integration, end-to-end RAG pipelines, and strong Python skills. Collaboration with senior engineers and stakeholders is essential.

Qualifications

• 2–5 years in software engineering with AI/automation production experience.
• Proven delivery of complete working AI/automation solutions.
• Certifications in Cloud AI (AWS/Azure/GCP) and RPA platforms preferred.

Responsibilities

• Build and maintain multi-agent workflows from design to production.
• Integrate tool integrations (APIs, ERP, CRM, ITSM) with error handling.
• Develop end-to-end RAG pipelines: ingestion, embedding, retrieval.
• Improve retrieval quality with vector databases.
• Deploy and monitor AI agents; participate in incident response.
• Collaborate with seniors and stakeholders to document pipelines.

Skills

Agentic AI

LangChain

LangGraph

AutoGen

CrewAICore

tool use

memory

multi-step reasoning

LLM APIs

structured prompts

RAG

Vector infrastructure

Python

cloud AI services

APIs

data pipelines

event-driven systems

Education

Bachelor's or Master's in CS, AI/ML, Data Science

Tools

UiPath

Automation Anywhere

Power Automate Bot

LangSmith

Arize

Job description

AI Engineer

Build production-ready AI agents and integrate RAG-powered workflows into enterprise processes

Location: Bangalore

Job Tags: Software

About The Role

AI Engineer

Automation Anywhere is the leader in Agentic Process Automation (APA), transforming how work gets done with AI-powered automation. Its APA system, built on the industry's first Process Reasoning Engine (PRE) and specialized AI agents, combines process discovery, RPA, end-to-end orchestration, document processing, and analytics—all delivered with enterprise-grade security and governance. Guided by its vision to fuel the future of work, Automation Anywhere helps organizations worldwide boost productivity, accelerate growth, and unleash human potential.

Experience – 2-5 Years

Full-Time · Bangalore (Onsite)

Education:

Bachelor's or Master's in CS, AI/ML, Data Science or equivalent

Practical experience

2-5 years in software engineering; 2+ years building AI-powered or automation solutions in production

Evidence of delivering complete, working solutions—not just experimental or prototype work

Certifications (Preferred)

Cloud AI certifications: AWS, Azure, or GCP

RPA platform certifications: UiPath or Automation Anywhere

Scope & Growth Path

Implements designs under Senior Engineer guidance

Grows toward independent architecture ownership

Develops fine-tuning expertise as a growth area in role

Progresses toward leading stakeholder discovery independently

Responsibilities

Skills:

Agentic AI

Hands‑on with LangChain/LangGraph, AutoGen, or CrewAICore agent patterns: tool use, memory, multi-step reasoning, output validation LLM APIs (OpenAI, Anthropic, Gemini, or open‑source); structured prompt engineering

RAG & Vector Infrastructure

End‑to‑end RAG pipelines: ingestion, chunking, embedding, retrieval evaluation

Familiarity with at least one vector database; ability to diagnose & improve retrieval quality

RPA

Hands‑on with UiPath, Automation Anywhere, or Power Automate Bot workflows with exception handling, logging & integration with agent layers

Engineering

Strong Python; cloud AI services; APIs, data pipelines & event-driven systems

Nice to Have

Exposure to LoRA/QLoRA fine-tuning (growth area); agent observability tooling (LangSmith, Arize)

Agent Development & Implementation

Build and maintain multi-agent workflows from Solution designs document into production-ready implementations Implement tool integrations (APIs, ERP, CRM, ITSM) with error handling & graceful degradation

RAG & Knowledge Systems

Build end-to-end RAG pipelines: ingestion, chunking, embedding, vector store & retrieval evaluation Monitor and improve retrieval quality; integrate RAG as knowledge backend for agents

RPA & Hybrid Automation

Develop and maintain RPA task bots; implement AI agent RPA handoff logic

Production & Quality

Write unit & integration tests; contribute to CI/CD pipelines & prompt versioning Monitor deployed systems; participate in incident response for agent failure modes

Collaboration & Growth

Work closely with Senior Engineers, taking increasing ownership of components over time Participate in stakeholder use‑case discovery; document pipelines & agent configurations clearly

Experience in collaborating with cross-functional teams to gather requirements, author technical documentation, and communicate complex AI solutions and risks to both technical and non-technical stakeholders

Strong verbal, written communication, and presentation skills