Tech Mahindra logo

Associate Consultant Quality - Tech Mahindra - Cupertino, United States

Posted: July 18, 2026
Posted today
Last seen in crawl: July 18, 2026 (today)
Estimated Expiry: August 22, 2026
Role & Management
Role Level:Mid-Level
Job Type
Experience
3 years
Required Languages

Job Description

The role involves building and optimizing RAG pipelines, vector databases, embeddings, and document-processing workflows. Designing agentic AI systems including tool calling, orchestration, reasoning loops, and workflow automation. Developing applied AI solutions that integrate with customer backend systems, APIs, and data sources. Implementing AI services on Kubernetes, cloud environments, or customer-controlled infrastructure. Working directly with customers to deliver high-quality technical implementations, demos, and documentation. Installing, maintaining, or using software testing programs, developing test procedures, identifying and analyzing problems, designing test plans, and creating or maintaining databases of known defects.

Company Information

Tech Mahindra logo
Technology
Current open roles at Tech Mahindra on JobCrawls
LocationActive listings
Remote9
Remote - Global7
Current role mix at Tech Mahindra on JobCrawls
Role typeActive listings
Data Scientist3
Data Engineer3
Software Engineer2
Network Engineer2
Software Analyst1
QA Automation1
Project Manager1
Project Lead1
Project Lead.NET1
Data Analyst1
Current role-level mix at Tech Mahindra on JobCrawls
Role levelActive listings
Mid-Level9
Senior3

Tech Mahindra appears in 16 indexed job postings in JobCrawls' Finland dataset since December 2025. In that historical index, the strongest location signals for this employer are Remote and Remote - Global.

Data shown is based on historical job postings from our database.

Job Details

Requirements

  • Strong experience with LLMs and agent frameworks such as LangChain, LlamaIndex, or custom-built solutions
  • Expertise in Python, vector databases (Elastic, Milvus, Pinecone, etc.), embeddings, and chunking strategies
  • Hands-on experience with Kubernetes, Docker, and scalable API deployment
  • Ability to understand customer workflows and translate them into actionable technical solutions

Education Level

None required
22 hours agoContent Complete

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