Job Title: *Systems Software Engineer IV – AI Automation & Agentic Systems*
Experience: *5–12 Years*
Job Summary
We are looking for a highly skilled Systems Software Engineer – AI Automation & Agentic Systems to build next-generation engineering automation and AI-powered productivity solutions. This role combines modern test automation, Generative AI, Agentic AI, workflow orchestration, and developer productivity tooling to enhance engineering efficiency and accelerate software delivery.
The ideal candidate will have a strong automation engineering background along with hands-on experience in LLM-based applications, AI orchestration frameworks, and intelligent workflow automation.
Key Responsibilities
Design, develop, and maintain scalable automation frameworks for:
UI Automation
API Automation
Workflow Validation
System Validation
Build AI-assisted automation solutions using Large Language Models (LLMs) and Agentic AI workflows.
Develop engineering copilots and AI-powered productivity assistants.
Design and implement Retrieval-Augmented Generation (RAG) based knowledge assistants.
Automate repetitive engineering, validation, and operational workflows.
Develop evaluation frameworks to measure AI agent performance, reliability, and reduce hallucinations.
Integrate automation solutions into CI/CD pipelines and engineering workflows.
Collaborate with architects, developers, QA, and validation teams to identify automation opportunities.
Prototype and deliver innovative AI-driven solutions with minimal supervision.
Continuously improve engineering productivity through intelligent automation.
Required Skills
Automation & Software Development
Strong programming expertise in Python.
Hands-on experience with modern automation frameworks such as:
Playwright
Selenium
Other UI/API automation tools
Experience developing REST APIs and automation workflows.
Strong debugging, troubleshooting, and analytical skills.
AI & Generative AI
Hands-on experience with AI orchestration frameworks such as:
LangChain
LangGraph
Similar Agentic AI frameworks
Experience working with:
OpenAI APIs
Azure OpenAI
Enterprise LLM platforms
Good understanding of prompt engineering and LLM-based application development.
DevOps & Cloud
Experience with:
Git
Docker
CI/CD pipelines
Cloud platforms (AWS, Azure, or GCP)
Preferred Skills
Experience designing and deploying Agentic AI systems.
Hands-on implementation of RAG architectures.
Experience with Model Context Protocol (MCP) and tool-calling integrations.
Knowledge of AI evaluation, monitoring, and observability frameworks.
Experience with vector databases such as:
Pinecone
Weaviate
Chroma
FAISS
Experience with developer productivity tools and workflow automation.
Exposure to product engineering, engineering automation, or semiconductor environments is an added advantage.
Ideal Candidate
5–12 years of software engineering and automation experience.
Strong expertise in Python development.
Hands-on experience with Playwright or Selenium automation frameworks.
Practical experience with LangChain, LangGraph, OpenAI APIs, or Agentic AI frameworks.
Good understanding of RAG architectures, vector databases, and AI evaluation methodologies.
Experience integrating applications with CI/CD pipelines and cloud-native environments.
Self-driven professional with excellent problem-solving, collaboration, and communication skills.
Passionate about leveraging AI to improve engineering productivity and automation.
Pay: ₹238,774.87 - ₹802,947.40 per year
Work Location: Remote
