About Us:
At *** (*** | Connected World, Connected Experiences), we live the philosophy of connected world and connected experiences. We thrive on change that is powered by the intelligent symphony of technology and humans designing meaningful and sustainable experiences. Consumer 'experiences' are driving and disrupting industries like never before. Businesses must build seamless yet simple enterprises that collaborate, synergize, and drive the change. Change that connects us all and empowers us to deliver experiences that span across the digital, the physical, the convergent, and everything in between. That's when truly connected experiences manifest.
Extraordinary is when experiences come together - a continuous convergence of digital technologies, touchpoints, and most importantly people. It's time to reimagine, reinvent, and revolutionize business models
operations as well as to transform enterprises into living, breathing, and connected businesses. We are the Digital Change makers who strive to change the way the world, communities, businesses, and humans interact digitally. We are harnessing the power of change, brought in by technologies, that makes it the most exciting time to be alive in the human history. Our universe, as we build it, disrupt it, and redesign it, is powering the digital change.
*** represents the connected world, offering innovative and customer-centric information technology experiences, enabling Enterprises, Associates, and the Society to Rise. It has 150,000+ professionals working for 1000+ Global Customers (including Fortune 500 companies) in 90 Countries. We're part of the esteemed Mahindra group, headquartered in India. Under a new CEO, *** is committed to a transformative journey with 'Scale @ Speed' as our guiding principle.
Job Title: AI Engineer
Location: Austin, TX
Onsite/ Remote: Onsite
JD:
Looking for an experienced AI Engineer to design, build, and deploy enterprise-grade AI solutions for customers.
The ideal candidate should have hands-on expertise with Retrieval-Augmented Generation (RAG), agentic AI workflows, and LLM-based automation, with the ability to integrate AI systems into complex enterprise environments.
Responsibilities:
Build and optimize RAG pipelines, vector databases, embeddings, and document-processing workflows.
Design agentic AI systems (tool calling, orchestration, reasoning loops, workflow automation).
Develop Applied AI solutions that integrate with customer backend systems, APIs, and data sources.
Implement AI services on Kubernetes, cloud environments, or customer-controlled infrastructure.
(Good to have) Integrate AI workflows with PLM systems or enterprise knowledge platforms.
Work directly with customers to deliver high-quality technical implementations, demos, and documentation.
Required Skills:
Strong experience with LLMs, LangChain / LlamaIndex / custom agent frameworks.
Expertise in Python, vector DBs (Elastic, Milvus, Pinecone, etc.), embeddings, chunking.
Experience with Kubernetes, Docker, and scalable API deployment.
Ability to understand customer workflows and translate them into technical solutions.
Nice-to-Have:
Knowledge of PLM, PDM, or enterprise engineering workflows.
Experience with RAG evaluation, prompt engineering, and grounding strategies.
Familiarity with enterprise architecture, IAM, SSO, or security constraints.
"*** 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 based on 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 ***."
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