AI Engineer

TekWissen India; Bengaluru; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

TekWissen Group is seeking an AI Engineer to design and deliver scalable, enterprise-grade AI solutions. Your work will involve collaboration with engineering and architecture teams to build robust AI systems on Azure, leveraging GenAI capabilities and a strong ML/data foundations.

The role emphasizes model evaluation, RAG pipelines, prompt engineering, and deployment on Azure ML and Azure OpenAI, with governance, security, and cost-aware design in focus.

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 frameworks like Semantic Kernel, LangGraph, AutoGen or Llamaindex
• Expertise in sophisticated RAG 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
• Collaborate with Architects to ensure AI solutions align

Responsibilities

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

Skills

AI/ML engineering

Azure AI

Multi-agent systems

LLM evaluation

Latency optimization

RAG pipelines

Prompt engineering

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.