Senior AI Developer – InfraSec Automation (L2)

Role Overview

Qualifications

• B.Tech or M.Tech qualification is required.
• At least one listed security or cloud certification is required.
• Additional certifications including CISM, CEH, OSCP, CKA, Terraform Associate, or listed machine learning certifications are good to have.

Key Responsibilities

• Build LLM-powered security features for vulnerability summarization, log triage, remediation, policy review, and security data queries.
• Develop prompts, structured outputs, function calling, tool-use workflows, and basic agentic AI workflows.
• Implement RAG pipelines covering chunking, embeddings, vector stores, retrieval tuning, and grounding.
• Build Python AI services and APIs integrating Anthropic, OpenAI, Azure OpenAI, Vertex AI, and open-source models.
• Develop Java backend services, REST APIs, and lightweight frontend components.
• Build evaluation frameworks, golden datasets, and regression suites for AI quality and cost measures.
• Apply prompt-injection mitigation, PII redaction, output filtering, rate limiting, audit logging, and access controls.
• Integrate AI with security scanners, ticketing systems, SIEM, and monitoring platforms.
• Automate AI and ML operations with Python, shell scripting, CI/CD, and Docker.
• Test, tune, maintain, and optimize AI applications, and collaborate across technical teams.

Key Skills Required

• Strong Python for AI and automation, including FastAPI or Flask, asynchronous programming, packaging, and testing.
• Hands-on experience with LLM APIs and orchestration frameworks such as LangChain, LlamaIndex, LangGraph, Haystack, or equivalent.
• Strong knowledge of prompt engineering, JSON Schema, structured outputs, function calling, and tool use.
• Hands-on RAG experience with embeddings, chunking, retrieval tuning, and supported vector stores.
• Experience with LLM evaluation tools such as RAGAS, DeepEval, Promptfoo, or LangSmith.
• Working knowledge of Java, REST APIs, HTML, CSS, JavaScript, Linux, shell scripting, Git, CI/CD, and Docker.
• Experience with Azure, GCP, AWS, or another listed cloud platform is required.