Senior AI Developer
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About this role:
As a Senior AI Developer (GenAI) you will design and build production-grade Generative AI systems for large-scale enterprise document ecosystems.
What you'll do:
• Build enterprise GenAI applications (chatbots, copilots, assistants)
• Design and own end-to-end RAG pipelines (ingestion → retrieval → generation)
• Engineer scalable document processing across PDF, DOC, HTML, and more
• Implement agentic AI workflows and tool-based orchestration
• Build and optimize vector search & hybrid retrieval systems
• Improve grounding, relevance, and hallucination control in production
• Integrate and optimize LLMs via AWS Bedrock / Azure OpenAI
• Focus on token efficiency, latency, streaming, and cost optimization
• Develop production-ready APIs using FastAPI
• Deploy and scale GenAI services on AWS
What we're looking for:
• Total 6 years plus experience.
• Strong hands-on experience building GenAI systems from scratch.
• Deep experience with RAG, embeddings, and vector databases
• Solid backend engineering and cloud-native expertise
• Production mindset: monitoring, reliability, and observability
This is a builder role — not research or analytics
Job ID: 150552225
Skills:
graph databases , Tensorflow, MLops, Computer Vision, Gcp, Pytorch, Docker, Keras, Azure, Kubernetes, Python, AWS, LangChain, agentic AI frameworks, OCR solutions, vector databases, LangGraph, AutoGen
Skills:
PowerShell, Azure Databricks, Azure Data Factory, Azure Functions, Cosmos DB, Python, Azure DevOps, Deep Learning Models, Azure SQL Database, Azure Machine Learning Studio, Azure Cognitive Services, Azure SDKs, Azure CLI, Microsoft Azure AI Platform
Skills:
Linux Server Administration, Sailpoint, Cloud deployment, Typescript, AWS, Node.js, Python, Docker, prompt engineering, JSON schema manipulation, OpenAI, REST API design, workflow orchestration platforms, Google Gemini, agentic AI architectures, LLM APIs, structured output extraction, identity platforms, Anthropic Claude, Saviynt
Skills:
Cloud security, Docker, Terraform, Threat Intelligence, Siem, Python, AWS, RDS, Dynamodb, Cybersecurity, Jenkins, Git, Malware Analysis, Kubernetes, Prompt engineering, Go, Agent orchestration, AI Agent development, LangGraph, EDR, Langfuse, Security analytics, AI evaluation, Threat detection, LLM-based applications, LangChain, XDR, Vector databases, RAG, MCP, Identity security
Skills:
Code, Salesforce Agent force, agent orchestration patterns, AI coding platforms, MCP, OpenAI Codex, Copilot, Claude, AI-enabled systems, Oracle AI Agent Studio, LLM-based tooling
