

Search by job, company or skills

About the Role
We are looking for a Lead Agentic AI Engineer to serve as the senior AI developer for a Cloud Security Tooling team, architecting GenAI workflows that automate configuration baseline enforcement, drift detection, and remediation across public cloud infrastructure. You will design RAG-based systems and LLM API integrations to generate compliant Terraform modules and Rego policies, lead a distributed engineering team in a follow-the-sun model, and own the technical strategy for AI enablement across cloud security tooling. The role requires 6+ years of software engineering experience with 2+ years each in cloud IaC and agentic AI development.
What you will do
Must haves
Nice to haves
Perks and Benefits
Job ID: 152502353
Skills:
Typescript, Node.js, Python, Azure Sql, Angular, Azure DevOps, LangChain, CosmosDB, Azure AI Search, Azure OpenAI Services
Skills:
Kafka, Tensorflow, Pytorch, Docker, Flask, Python, Azure DevOps, Node.js, Azure ML, Jenkins, Azure Data Factory, MLops, Databricks, FastAPI, Kubernetes, Airflow, AWS Bedrock, MLflow, GitHub Actions, GCP Vertex AI, LangChain, CrewAI, LLMOps, Scikit-learn, Synapse, SageMaker, GitLab CI CD, Google ADK
Skills:
Machine Learning, Rest Apis, Python, LangChain, Generative AI, Pinecone, Agentic AI Frameworks, Retrieval-Augmented Generation, Vector Databases, FAISS, ChromaDB, Weaviate, LlamaIndex, Prompt Engineering, Large Language Models
Skills:
snowflake , Github, Tensorflow, Git, Pandas, Pytorch, Gcp, Azure, Python, AWS, LangChain, Scikit-learn, Hugging Face, Pinecone, FAISS
Skills:
Api Development, MLops, Python, LangChain, vector search, Generative AI, LLMs, SLMs, Hugging Face, embedding models, Pinecone, FAISS, RAG pipelines, OpenAI, Weaviate, LanGraph, Anthropic SDKs