AI Development Engineer - Hyd/Ban

Pragma Edge Software Services; Hyderabad; Vor Ort; INR 1.200.000 - 1.800.000; Vollzeit

Zusammenfassung

Pragma Edge Software Services in Hyderabad is seeking a senior AI/ML engineer to design and deploy agentic GenAI solutions across business units. You will architect multi-agent automation systems, implement governance, and build retrieval-augmented generation workflows.

You’ll collaborate with AI architects, product managers, and compliance teams, develop FastAPI/Flask APIs, and contribute to MLOps with CI/CD, monitoring, and deployment automation.

Qualifikationen

• Proven experience in designing GenAI/LLM solutions with RAG pipelines and prompt engineering.
• Hands-on knowledge of governance, drift detection, auditability, and safety for compliant AI systems.
• Experience building multi-agent automation frameworks and API-backed services.
• Strong background in vector databases and retrieval augmented generation.
• Collaborative cross-functional work with AI architects, product managers, and compliance teams.

Aufgaben

• Design and deploy agentic generative AI solutions leveraging LLMs and RAG pipelines.
• Architect and build multi-agent automation systems using LangGraph or similar platforms.
• Implement LLM governance including prompt drift detection and safety policies.
• Develop and integrate vector database solutions for semantic search and RAG.
• Build APIs using FastAPI/Flask and create interactive demos for stakeholders.

Kenntnisse

Python

SQL

Java

LLMs

RAG

prompt engineering

model governance

LangChain

API design

CI/CD pipelines

Tools

Milvus

PGVector

PostgreSQL

Azure AI Foundry

Docker

Kubernetes

Streamlit

Jobbeschreibung

Responsibilities

• 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.
• Frameworks: LangChain.
• APIs Backend: FastAPI, Flask, REST API design.
• Databases: Vector databases (Milvus, PGVector), PostgreSQL.
• Cloud MLOps: Azure AI Foundry; Docker, Kubernetes, CI/CD pipelines.
• Visualization UI: Streamlit, basic UI/UX design principles.