Job Description
Junior AI Engineer - Agentic AI & Enterprise AI
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Skill Set :
Python,microservices,APIs,LLM,RAG,prompt engineering,Langchain,Langgraph,Autogen,vector databases,Agentic AI Development,CrewAI,or LlamaIndex
Total Experience :
1.00 to 3.00 Years
No of Openings :
1
Job Post Date :
05/06/2026
Job Expiry Date :
31/07/2026
Domain :
IT
Location :
SAN JOSE
[United States]
Job Reference No :
4082108
Job Summary
Role:
Junior AI Engineer - Agentic AI & Enterprise AI
Experience:
2-4 Years
Location:
Santa Clara, CA
Role Overview:
Tech Mahindra is seeking a Junior AI Engineer to develop and deploy next-generation Agentic AI and Generative AI solutions for enterprise customers. The ideal candidate has hands-on experience building LLM-powered applications, RAG systems, and AI agents, with a strong software engineering foundation and a passion for leveraging Client's AI ecosystem.
Key Responsibilities:
Develop Agentic AI and LLM-based applications for enterprise use cases.
Build and optimize Retrieval-Augmented Generation (RAG) solutions.
Implement AI workflows using frameworks such as LangGraph, CrewAI, AutoGen, LangChain, or LlamaIndex.
Develop scalable Python-based APIs, services, and integrations.
Collaborate with architects, data scientists, and platform teams to deliver production-ready AI solutions.
Contribute to reusable accelerators, frameworks, and best practices.
Required Qualifications:
Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.
2-4 years of experience in software engineering, machine learning, or AI development.
Strong Python programming skills.
Experience building applications using LLMs and Generative AI technologies.
Hands-on experience with RAG, vector databases, and prompt engineering.
Experience with one or more frameworks: LangChain, LangGraph, CrewAI, AutoGen, or LlamaIndex.
Familiarity with APIs, microservices, Git, Docker, and cloud platforms.
Preferred Qualifications:
Experience with technologies such as NIM, NeMo, TensorRT-LLM, Triton Inference Server, or AI Enterprise.
Experience building multi-agent or Agentic AI solutions.
Knowledge of Kubernetes, MLOps, and LLMOps.
Experience deploying AI solutions on AWS, Azure, or GCP.
Technical Assessment (Required):
Candidates will be expected to demonstrate hands-on proficiency through a practical coding assessment covering:
Development of a simple RAG application.
Design of an Agentic AI or multi-agent workflow.
API integration and tool-calling implementation.
Prompt engineering and response evaluation.
Deployment and optimization of an AI service
The pay range for this role is $60,000- $75,000 per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience and location of the candidate.
"Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin, or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at ADA_Accomodations@TechMahindra.com."
