AI Engineer

TekWissen India; Hyderabad; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

TekWissen India is seeking an AI Engineer to design and deliver scalable, enterprise-grade AI solutions, leveraging Azure AI and GenAI capabilities. The role involves building robust AI systems, evaluating models, and implementing RAG pipelines with proper guardrails.

You will work with engineering and architecture teams to optimize latency, throughput, and cloud governance while ensuring cost-effective and secure deployments on Azure.

Qualifications

• 3+ years of AI/ML engineering experience.
• Hands-on experience with Azure AI ecosystem.
• Design and implement Multi-Agent Systems capable of autonomous reasoning, planning, and tool-use.
• Develop AI agents using frameworks like Semantic Kernel, LangGraph, AutoGen or LlamaIndex.
• Expertise in RAG pipelines using embedding, semantic chunking, multi-vector indexing, and cross-encoder re-ranking.
• Experience with LLM evaluation and guardrails.

Responsibilities

• Design and deliver scalable AI solutions on Microsoft Azure (Azure ML, Azure OpenAI).
• Evaluate and select AI models based on use case requirements and performance.
• Contribute to GenAI solutions such as RAG pipelines, prompt strategies, and model integration patterns.
• Analyze model performance, latency, scalability, and deployment considerations.
• Collaborate with architects and data teams to ensure governance, security, and cost-efficiency.

Skills

Azure AI

GenAI

Multi-Agent Systems

LLMs/SLMs

Latency optimization

Tools

Semantic Kernel

LangGraph

AutoGen

LlamaIndex

Job description

TekWissen Group is a workforce management provider throughout India and many other countries in the world.

Job Type: Full Time

Work Type: Onsite

Job Description:

Role Overview

• We are looking for an AI Engineer to design and deliver scalable, enterprise-grade AI solutions.
• This role involves working closely with engineering and architecture teams to build robust AI systems, leveraging modern GenAI capabilities, cloud platforms, and strong foundational knowledge in machine learning and data systems.
• Evaluate and select appropriate AI models, including Large Language Models (LLMs) and Small Language Models (SLMs), based on use case requirements.
• Analyze model performance, scalability, and deployment considerations.
• Contribute to the design of GenAI solutions such as RAG pipelines, prompt engineering strategies, and model integration patterns.
• Build and deploy AI solutions primarily on Microsoft Azure (Azure ML, Azure OpenAI).
• Ensure adherence to cloud architecture best practices, scalability, and reliability standards.

Data & ML Foundations

• Apply knowledge of statistics, machine learning, and data engineering concepts in solution development.
• Collaborate with data scientists and data engineers for advanced modeling and data pipeline requirements.

Governance, Security & Cost Awareness

• Apply working knowledge of cloud security, compliance, and landing zone principles.
• Collaborate with Solution Architects to ensure alignment with governance and architectural standards.
• Contribute to cost-efficient AI solution design and resource optimization.

Required Qualifications

• 3+ years of overall experience in AI/ML engineering
• Hands on experience in Azure AI ecosystem
• Design and implement Multi-Agent Systems capable of autonomous reasoning, planning, and tool-use.
• Develop AI agents using one of the frameworks like Semantic Kernel, LangGraph, AutoGen or Llamaindex.
• Expertise in sophisticated RAG (Retrieval-Augmented Generation) pipelines using embedding, semantic chunking, multi-vector indexing, and cross-encoder re-ranking.
• Expertise in LLM evaluation & guardrails
• Analyze model performance, scalability, and deployment considerations.
• Conduct rigorous latency analysis and throughput optimization for real-time agentic interactions.
• Collaborate with Architects to ensure AI solutions align.

TekWissen® Group is an equal opportunity employer supporting workforce diversity.