Pragma Edge Software Services is hiring AI Engineers (Agentic AI) to design, develop and deploy intelligent systems using LLMs, agentic frameworks and autonomous multi-agent architectures.
Disclaimer: This is a third-party opening shared for informational purposes. Cloud Soft Solutions is not the hiring employer; verify all details (eligibility, compensation, job IDs) on the official portal or with the employer before applying.
Role Overview
Location: Hyderabad · Onsite preferred
Type: AI Engineer – Agentic AI (multiple openings)
Experience: 0–3 years (strong projects help pure freshers)
Package / Stipend: As per Pragma Edge norms (confirm on the listing)
Key Highlights
- Design agent-based architectures with CrewAI, LangGraph, AutoGen, LangChain
- Build multi-agent workflows for task orchestration and autonomous decisions
- Fine-tune/adapt LLMs (Mistral, Gemini, OpenAI, AWS Bedrock)
- Work on RAG, vector databases, prompt engineering and NLP
Eligibility
- B.Tech/B.E./M.Tech/MCA/M.Sc in CS, AI/ML, Data Science, IT or related
- Strong Python; PyTorch/TensorFlow
- Hands-on LLMs, prompt engineering, fine-tuning
- Exposure to Agentic AI / multi-agent systems
How to Apply
Apply via careers.pragmaedge.com or email recruitment@pragmaedge.com. Process: application + resume shortlisting → technical assessment (Python + Agentic AI) → technical interviews → HR.
Pro tips: tailor your resume with JD keywords (Python, LLMs, RAG, LangChain, agents), attach a GitHub/portfolio with 2–3 AI projects, and apply early — agentic-AI roles fill fast.
How to Prepare for This Role
Go deep on LangGraph, RAG and multi-agent patterns with our Agentic AI roadmap and RAG interview questions.
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Frequently Asked Questions
Who can apply for the Pragma Edge Agentic AI Engineer role?
B.Tech/B.E./M.Tech/MCA/M.Sc graduates in CS, AI/ML, Data Science or IT with strong Python, PyTorch/TensorFlow, and hands-on LLM/prompt-engineering/agent experience. 0–3 years; strong projects help pure freshers.
What is the Pragma Edge selection process?
Online application and resume shortlisting, then a technical assessment (Python + Agentic AI), technical interviews focused on LLMs and multi-agent systems, and an HR round. Hyderabad-based candidates preferred.