As a Release Readiness Agent, your main role will involve building a custom GPT-based agent to assess code changes, build artifacts, and test outputs for determining production readiness. Additionally, you will act as an Automated RCA Agent by processing logs, alerts, and incident artifacts to create initial RCAs. You will be tasked with utilizing telemetry data from New Relic to develop Predictive Health Models that can predict issues before they lead to outages. Furthermore, you will be responsible for designing LLM-powered retrieval workflows to aid in ticket triage and operational inquiries.Your qualifications for this role should include at least 7 years of engineering experience, with a minimum of 2 years dedicated to constructing production-grade LLM applications. You must possess expertise in Python and contemporary agent frameworks such as LangChain, LlamaIndex, OpenAI function calling, or their equivalents. Experience in integrating with CI/CD outputs, logs, monitoring tools, and ticketing systems is essential. A solid comprehension of RAG, vector indexing, and prompt engineering best practices is also required.In this position, you will be expected to deliver end-to-end solutions, encompassing design, development, deployment, and evaluation. It is important to note that this is not a traditional ML modeling role but rather a hands-on position involving LLM/agent experience. The ability to operate independently and swiftly produce PoCs (Proof of Concepts) is crucial for success in this role. As a Release Readiness Agent,



your main role will involve building a custom GPT-based agent to assess code changes, build artifacts, and test outputs for determining production readiness. Additionally, you will act as an Automated RCA Agent by processing logs, alerts, and incident artifacts to create initial RCAs. You will be tasked with utilizing telemetry data from Current Relic to develop Predictive Health Models that can predict issues before they lead to outages. Furthermore, you will be responsible for designing LLM-powered retrieval workflows to aid in ticket triage and operational inquiries.Your qualifications for this role should include at least 7 years of engineering experience, with a minimum of 2 years dedicated to constructing production-grade LLM applications. You must possess expertise in Python and contemporary agent frameworks such as LangChain, LlamaIndex, OpenAI function calling, or their equivalents. Experience in integrating with CI/CD outputs, logs, monitoring tools, and ticketing systems is essential. A solid comprehension of RAG, vector indexing, and prompt engineering best practices is also required.In this position, you will be expected to deliver end-to-end solutions, encompassing design, development, deployment, and evaluation. It is important to note that this is not a traditional ML modeling role but rather a hands-on position involving LLM/agent experience. The ability to operate independently and swiftly produce PoCs (Proof of Concepts) is crucial for success in this role.

📌 AI ENGINEERING SPECIALIST (Noida)
🏢 Happiest Minds Technologies
📍 Noida