AI Development Engineer - Hyd/Ban

PragmaEdge Software Services Private Limited; Hyderabad; On-site; INR 900,000 - 1,500,000; Full time

Job summary

PragmaEdge Software Services Private Limited in Hyderabad seeks an AI/ML engineer to design and deploy agentic GenAI solutions, leveraging LLMs, RAG pipelines, and context engineering. You will build multi-agent automation systems and contribute to governance and regulatory compliance.

The role involves developing APIs with FastAPI/Flask, implementing MLOps practices, and collaborating with AI architects, product managers, and compliance teams to accelerate AI adoption across business units.

Qualifications

• Programming: Proficiency in Python; working knowledge of SQL and Java.
• GenAI & LLMs: Deep expertise in LLMs, RAG, prompt engineering, fine-tuning, and model governance.
• Visualization & UI: Streamlit, basic UI/UX design principles.

Responsibilities

• Design and deploy agentic generative AI solutions using LLMs, RAG pipelines, context engineering and REST APIs.
• Architect and build multi-agent automation systems using LangGraph or similar orchestration platforms.
• Implement LLM governance architecture including prompt drift detection, auditability, and safety policies to ensure regulatory compliance.
• Develop and integrate vector database solutions for semantic search and retrieval-augmented generation.
• Collaborate cross-functionally with AI architects, product managers, and compliance teams to accelerate AI adoption across business units.
• Develop APIs using FastAPI/Flask and build interactive demos for stakeholder showcases.
• Contribute to MLOps practices including CI/CD pipelines, model monitoring, and deployment automation.
• Conduct research experiments to enhance model performance, reliability, and fairness.
• Build and maintain ML models for domain-specific tasks such as NLP, computer vision, and predictive analytics.

Skills

Python

LLMs / GenAI

SQL

Java

RAG

Streamlit

Tools

FastAPI

Flask

Job description

• Design and deploy agentic generative AI solutions leveraging LLMs, RAG pipelines, context engineering, and REST APIs.
• Architect and build multi-agent automation systems using frameworks such as LangGraph or similar orchestration platforms
• Implement LLM governance architecture including prompt drift detection, auditability, and safety policies to ensure regulatory compliance.
• Develop and integrate vector database solutions for semantic search and retrieval-augmented generation.
• Collaborate cross-functionally with AI architects, product managers, and compliance teams to accelerate AI adoption across business units.
• Develop APIs using FastAPI/Flask and build interactive demos for stakeholder showcases.
• Contribute to MLOps practices including CI/CD pipelines, model monitoring, and deployment automation.
• Conduct research experiments to enhance model performance, reliability, and fairness.
• Build and maintain ML models for domain-specific tasks such as NLP, computer vision, and predictive analytics.

Required Qualifications

Technical Skills

• Programming: Proficiency in Python; working knowledge of SQL and Java.
• GenAI & LLMs: Deep expertise in LLMs, RAG, prompt engineering, fine-tuning, and model governance.
• Visualization & UI: Streamlit, basic UI/UX design principles.