AI Engineer

LE400 Automation Anywhere Software Pvt. Ltd.; Bengaluru; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Automation Anywhere is seeking an AI Engineer to build agentic AI systems and automation solutions. You will work with LangChain, LLM APIs, and RAG pipelines to deliver production‑grade AI applications.

The role requires 2–5 years in software engineering with hands‑on experience in AI/automation production projects. A strong Python background and cloud services experience are essential for success.

Qualifications

• Bachelor’s or Master’s in CS, AI/ML, Data Science or equivalent practical experience.
• 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 in cloud AI or RPA platforms are preferred.

Responsibilities

• AGENTIC AI – Hands‑on with LangChain/LangGraph, AutoGen, or CrewAI core agent patterns.
• LLM APIs – OpenAI, Anthropic, Gemini, or open‑source APIs; structured prompt engineering.
• RAG & VECTOR INFRASTRUCTURE – Build end‑to‑end RAG pipelines with embedding and retrieval quality.
• RPA – Work with UiPath, Automation Anywhere, or Power Automate; ensure robust exception handling.
• ENGINEERING – Strong Python; develop data pipelines and cloud AI services.
• AGENT DEVELOPMENT & IMPLEMENTATION – Produce production‑ready multi‑agent workflows with integrations.
• RAG & KNOWLEDGE SYSTEMS – Monitor and improve retrieval quality; knowledge backend for agents.
• RPA & HYBRID AUTOMATION – Develop RPA task bots; AI agent handoff logic.
• PRODUCTION & QUALITY – Write tests, CI/CD; monitor deployments and incident response.
• COLLABORATION & GROWTH – Document pipelines; communicate AI risks to stakeholders.

Skills

Python

LangChain

LLM APIs

RAG

Multi-agent systems

CI/CD

Unit testing

Cloud services

Education

Bachelor's or Master's in CS/AI/DS

Tools

UiPath

Automation Anywhere

AWS

Azure

GCP

Job description

About Us

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.

Job Role

AI Engineer

Location & Employment

Full‑Time • Bangalore (Onsite)

Education & Experience

Bachelor’s or Master’s in CS, AI/ML, Data Science or equivalent practical experience.

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

• AGENTIC AI – Hands‑on with LangChain/LangGraph, AutoGen, or CrewAI core agent patterns: tool use, memory, multi‑step reasoning, output validation.
• LLM APIs – OpenAI, Anthropic, Gemini, or open‑source APIs; 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.
• AGENT DEVELOPMENT & IMPLEMENTATION – Build and maintain multi‑agent workflows from solution designs 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 & 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; collaborate with cross‑functional teams to gather requirements, author technical documentation, and communicate complex AI solutions & risks to both technical and non‑technical stakeholders; strong verbal, written communication, and presentation skills.

Nice to Have

• Exposure to LoRA/QLoRA fine‑tuning.
• Agent observability tooling such as LangSmith or Arize.