Job Description This role requires a blend of software engineering expertise, security operations (SecOps) knowledge, and practical AI/LLM integration experience. Core Responsibilities · Agentic Workflow & Pipeline Automation: Build autonomous or semi-autonomous agents using frameworks such as LangChain, AutoGen, or custom Python orchestration to automate security workflows (e.g., alert ingestion, threat intelligence enrichment, sandbox analysis, and ticket creation). · Security Tool Integration (API-First): Integrate LLMs and automation solutions with existing security platforms through APIs, including SIEMs (Splunk, Elastic), XDRs (CrowdStrike, SentinelOne), and ticketing/SOAR platforms (Jira, ServiceNow, XSOAR).- Most Significant · Contextual Data Ingestion & RAG: Implement Retrieval-Augmented Generation (RAG) pipelines across internal security runbooks, compliance frameworks (SOC 2, ISO 27001), and asset inventories to provide accurate, context-aware remediation guidance. DevSecOps & Code Security Automation: Build AI-enabled controls within CI/CD pipelines to assess SAST findings, reduce false positives, and automate secrets and dependency scanning. Pay Rate: Between $8.00-$11.00 per hour depending on skills and experience We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity,



religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements · Primary Tech Stack: Python, FastAPI/Flask, TypeScript, and modern asynchronous programming. Experience with vector databases such as Pinecone, Weaviate, or Milvus for security log and policy search use cases. · Security Domain Knowledge: Familiarity with security concepts including the MITRE ATT&CK; framework, Identity and Access Management (IAM), CVSS vulnerability scoring, and log formats such as JSON, CEF, and Syslog. · AI/ML Experience: Hands-on experience integrating LLM APIs (OpenAI, Anthropic, or open-source models via Ollama/vLLM) and prompt engineering for security log analysis and query generation (e.g., KQL, Splunk SPL).- most important · Infrastructure & Cloud: Experience with Docker, Kubernetes, and cloud-native security posture management (CSPM) in GCP. GCP

📌 InfoSec AI Engineer- INTL India (Saidapet)
🏢 Insight Global
📍 Saidapet