Job Title: AI Engineer
Experience Required: 5+ Years
Location: Bengaluru
Work Mode: Full Time / Work From Office
Budget: Up to ₹24 LPA (flexible for exceptional immediate joiners)
Preferred Notice Period: Immediate Joiners Preferred
Job Summary
We are seeking a highly skilled and delivery-focused
AI Engineer with strong hands-on experience in building
production-grade AI/ML and Generative AI solutions. The ideal candidate should possess deep expertise in the
Azure AI ecosystem, advanced
RAG architectures, and
Multi-Agent AI systems, with the ability to engineer scalable, high-performance intelligent applications for enterprise use cases.
This role requires close collaboration with solution architects and technical stakeholders to design, optimize, and deploy robust AI systems aligned with broader business and platform objectives.
Key Responsibilities
- Design, build, and deploy production-ready AI/ML systems for enterprise applications.
- Develop and implement Multi-Agent Systems capable of autonomous reasoning, planning, orchestration, and tool usage.
- Engineer advanced Generative AI applications using modern agentic frameworks and LLM orchestration tools.
- Build and optimize sophisticated RAG (Retrieval-Augmented Generation) pipelines to support context-aware, enterprise-grade AI interactions.
- Perform LLM evaluation, guardrail implementation, latency analysis, and throughput optimization for real-time AI agent performance.
- Analyze model behavior, deployment feasibility, scalability, and performance tuning requirements.
- Work closely with Architects and cross-functional teams to ensure technical alignment with end-to-end AI solution design.
Required Skills & Expertise Core Experience
- 5+ years of overall experience in AI/ML Engineering
- Proven hands-on experience in delivering production-grade AI systems
- Strong understanding of AI model deployment, performance analysis, and scalable engineering practices
Azure AI Ecosystem (Mandatory)
- Minimum 2 years of hands-on experience within Azure AI ecosystem
- Exposure to Azure OpenAI, Azure AI Services, Azure ML, Cognitive Search, or related Azure-native AI services
Multi-Agent / Agentic AI Development
- Experience designing and implementing AI Agent / Multi-Agent architectures
- Strong working knowledge of one or more of the following frameworks:
- Semantic Kernel
- LangGraph
- AutoGen
- LlamaIndex
Advanced RAG Engineering
- Expertise in building advanced Retrieval-Augmented Generation pipelines, including:
- Embeddings
- Semantic chunking
- Multi-vector indexing
- Cross-encoder re-ranking
- Retrieval optimization
LLM Evaluation & Optimization
- Experience with:
- LLM evaluation methodologies
- AI guardrails / response safety mechanisms
- Latency analysis
- Throughput optimization
- Real-time agentic interaction performance tuning
Preferred Candidate Profile
- Strong problem-solving and solution engineering mindset
- Hands-on coding and prototyping capability
- Ability to work in a fast-paced enterprise AI delivery environment
- Immediate availability will be highly preferred
Skills: multi-agent systems,ai/ml systems,cognitive search,llm,rag,azure ai ecosystem,generative ai applications,azure ml,ai agent,azure ai services,openai,multi-agent architectures
