We are looking for a Senior AI Engineer with deep expertise in Generative AI, Agentic AI architectures, and Python backend engineering. The individual will drive end-to-end design and implementation of enterprise-scale AI platforms, multi-agent systems, and intelligent automation solutions.
Key Responsibilities
Architect and lead development of enterprise-grade GenAI and Agentic AI platforms.
Design scalable multi-agent systems for complex business workflows.
Define AI architecture standards, governance, security, and best practices.
Lead implementation of advanced RAG, knowledge retrieval, memory management, and orchestration frameworks.
Build reusable AI services, SDKs, APIs, and platform components.
Drive model evaluation, observability, reliability, and optimization strategies.
Collaborate with business stakeholders to translate use cases into AI solutions.
Mentor engineers and provide technical leadership across AI initiatives.
Evaluate emerging AI technologies and establish adoption roadmaps.
Required Skills
Primary Skills
Generative AI Architecture
Python Backend Engineering
Agentic AI & Multi-Agent Systems
Advanced Technical Skills
Enterprise LLM Application Development
Agent Orchestration Frameworks (LangGraph, CrewAI, AutoGen, Semantic Kernel)
Advanced RAG Architecture
Knowledge Graph Integration
AI Workflow Automation
Model Evaluation & Guardrails
Prompt Engineering & Prompt Optimization
Vector Search Architectures
API and Microservices Design
Event-Driven Architectures
Cloud & Platform Skills
Azure OpenAI Services (Preferred)
Azure AI Foundry
Azure AI Search
AWS Bedrock or GCP Vertex AI (Positive to Have)
Kubernetes
Docker
CI/CD and MLOps Practices
Preferred Qualifications
Experience leading AI solution architecture and delivery.
Strong understanding of AI governance, responsible AI, and security.
Experience implementing enterprise-scale AI transformation pro
📌 Senior AI Engineer_ (Bengaluru)
🏢 Tredence
📍 Bengaluru
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