Uniphore — a global enterprise-AI and automation platform company — hires early-career AI Engineers in Bengaluru / Chennai, building conversational and generative AI with LLMs, speech/NLP and ML for large enterprises.
Disclaimer: This is a third-party opening shared for informational purposes. Cloud Soft Solutions is not the hiring employer; verify all details (eligibility, compensation, requisition IDs) on the official portal before applying.
Role Overview
Location: Bengaluru / Chennai · Hybrid
Type: AI Engineer – Enterprise AI (early-career)
Experience: Early-career / freshers with a strong AI portfolio
Package: Competitive, as per Uniphore norms (confirm on the official listing)
Key Highlights
- Enterprise conversational & generative AI
- LLMs, RAG, speech/NLP and ML
- Bengaluru / Chennai; global enterprise platform
- Portfolio and shipping ability matter
Eligibility & Skills
- B.E/B.Tech/M.Tech/MCA or equivalent
- Strong Python and ML/NLP fundamentals
- Hands-on with LLMs, RAG, prompt engineering (speech/NLP a plus)
- A public GitHub portfolio of AI projects
How to Apply
Check current openings and apply on the official Uniphore Careers page (also on LinkedIn) and search AI Engineer early-career roles in India. Lead with your GitHub. Confirm eligibility on the live listing.
Pro tips: for AI-engineer roles, ship a live GenAI project — a working RAG app (LangChain/LlamaIndex + a vector DB) or an agentic workflow (LangGraph/CrewAI) — deployed and monitored (e.g., Langfuse) with documented RAGAS/eval scores, on GitHub. A demonstrated, measured project beats a degree that only lists Java and DSA.
How to Prepare for This Role
Build LLM/RAG/NLP projects and a portfolio; prepare with our AI & ML interview questions, RAG interview questions and the AI/ML Engineer roadmap.
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Cloud Soft Solutions (Hyderabad, with live-online batches across India) offers hands-on AI/ML + Generative & Agentic AI training — Python, LLMs, RAG (LangChain, LlamaIndex, vector databases), agentic frameworks (LangGraph, CrewAI), fine-tuning and MLOps — with real projects, interview preparation and proven placement support.
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Frequently Asked Questions
Who can apply for early-career AI Engineer roles at Uniphore?
Early-career candidates and freshers with a B.E/B.Tech/M.Tech/MCA, strong Python and ML/NLP fundamentals, hands-on LLMs, RAG and prompt engineering (speech/NLP a plus), and a public GitHub portfolio of AI projects.
How do I apply to Uniphore for AI engineer roles?
Check current openings on the official Uniphore careers page (uniphore.com/careers) and its LinkedIn listings, and search AI Engineer early-career roles in Bengaluru / Chennai.