AI Engineer

TekWissen India; Dadri; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

TekWissen Group is seeking an AI Engineer to design and deliver scalable, enterprise-grade AI solutions on Microsoft Azure, leveraging GenAI capabilities and robust data systems.

The role involves collaborating with engineering and architecture teams to evaluate models (LLMs/SLMs), build GenAI pipelines, and optimize latency and throughput for real-time agentic interactions while adhering to governance and cost-aware practices.

Qualifications

• 3+ years of AI/ML engineering experience.
• Hands-on experience in Azure AI ecosystem.
• Design autonomous multi-agent systems.
• Develop AI agents using Semantic Kernel, LangGraph, AutoGen or Llamaindex.
• Expertise in RAG pipelines with embeddings, multi-vector indexing.
• LLM evaluation and guardrails.
• Latency analysis and throughput optimization.
• Collaborate with architects for alignment.

Responsibilities

• Design and deliver scalable, enterprise-grade AI solutions.
• Collaborate with engineering and architecture teams to build robust AI systems.
• Evaluate models including LLMs and SLMs based on use case.
• Analyze model performance, scalability, deployment considerations.
• Contribute to GenAI solutions such as RAG pipelines, prompt engineering, and integration patterns.
• Build and deploy AI solutions on Microsoft Azure (Azure ML, Azure OpenAI).
• Ensure cloud architecture best practices, scalability, reliability.

Skills

Azure AI

Multi-Agent Systems

LLM evaluation

Latency optimization

GenAI design

RAG pipelines

Tools

Semantic Kernel

LangGraph

AutoGen

Llamaindex

Azure ML

Azure OpenAI

Job description

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

Location: Noida, UP

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.