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About the Role
We are looking for an Senior Agentic AI Engineer to develop systems that accelerate cloud security baseline enforcement and remediation for a Cloud Security Tooling team. You will implement GenAI workflows using RAG, vector databases, and LLM APIs to automate configuration baseline creation, build AI-enabled drift detection and gap analysis capabilities, and generate and validate compliant Terraform modules and Rego policies for CI/CD pipelines. The role requires 4+ years of cloud software engineering experience with 2+ years of agentic AI development using OpenAI, Anthropic, or similar APIs.
What you will do
Must haves
Nice to haves
Perks and Benefits
Job ID: 152476665
Skills:
Github, Windows Server, Prometheus, Ssh, Http, Dns, Grafana, Firewalls, Rest Api, routing, Jenkins, Git, Linux, Wmi, SNMP, Python, WinRM, Vector databases, Anthropic, ports, OpenTelemetry, OpenAI
Skills:
Machine Learning, Statistical Modelling, Sql, Deep Learning, Tensorflow, Nlp, Pytorch, Python, LangChain, Agentic AI Workflows, LLM Evaluation Frameworks, Generative AI, scikit-learn, Feature Engineering, Model Evaluation, Guardrails, Llm, Vector Databases, Embeddings, RAG, experimentation, Prompt Engineering, LlamaIndex
Skills:
PostgreSQL, Tensorflow, Pytorch, Docker, Python, AWS, Apis, Gcp, MLops, Azure, Kubernetes, scikit-learn, RAG systems, vector databases, CI CD, model evaluation, fine-tuning AI ML models, PEFT, modern data infrastructure, Monitoring, LLM fine-tuning, LoRA, performance optimization, distributed system architecture, QLoRA
Skills:
Google Apis, Sql, node.js, React, Gcp, Docker, Typescript, Rest Apis, Azure, Python, Kubernetes, AWS, prompt tuning, embeddings, LLM architecture, RAGs, FastAPIs
Skills:
SQL Server, Datadog, Redis, Typescript, Docker, MongoDB, FastAPI, Python, Azure DevOps, OpenAI ecosystem, Azure Application Insights, Azure OpenAI Services, OpenAI Agents SDK