Senior AI Engineer_ (Backend)

Senior AI Engineer (Backend)

Experience: 8 to 12 Years

Role Overview

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 (Good 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 programs.
• Ability to mentor teams and influence technical direction.

Competencies

• Solution Architecture
• Technical Leadership
• Stakeholder Management
• Innovation & AI Strategy
• Problem Solving
• Team Mentoring

Skill Weightage (Applicable for Both Levels)

• Generative AI: 40%
• Python Backend Development: 30%
• Agentic AI: 20%
• Cloud/MLOps & DevOps: 10%

Required Skills