Software Engineer

Virtusa; Irving (TX); On-site; USD 120,000 - 170,000; Full time

Job summary

Virtusa seeks an experienced AI/ML engineer to lead the design, development, and deployment of Python-based AI solutions, including RAG architectures, conversational agents, and scalable AI/ML workflows for financial forecasting.

You will integrate Oracle and other enterprise data sources, optimize system performance, and manage AI/ML models through production deployment. Work in an Agile environment with cross-functional teams to deliver reliable AI features.

Qualifications

• Strong Python expertise and production experience with AI/ML models.
• Experience with RAG, conversational AI, and multi-cloud deployments.

Responsibilities

• Lead end-to-end design, development, and deployment of Python AI solutions.
• Oversee RAG architectures, conversational agents, and scalable AI/ML workflows.
• Collaborate with data engineers and product teams to deliver reliable AI features.

Skills

Python

Generative AI

Retrieval-Augmented Generation

Conversational AI

Claude

AI/ML Workflows

Model Lifecycle Management

Multi-Cloud Platforms

Data Integration

Oracle Databases

Software Design Patterns

Agile

Performance Optimization

Financial Forecasting

Job description

Lead the design, development, and deployment of Python and generative AI solutions, including RAG architectures, conversational agents, and scalable AI/ML workflows. Build cloud and enterprise data integrations, optimize system performance, and collaborate with cross-functional teams to deliver reliable AI features for financial forecasting.

Requirements: The role calls for strong Python expertise, knowledge of software design patterns and best practices, and experience building generative AI, RAG, and conversational AI solutions. It also requires the ability to manage AI/ML models through production deployment, integrate cloud platforms and enterprise data sources such as Oracle, and work effectively in an Agile environment.

Key Skills: Python, Generative AI, Retrieval-Augmented Generation, Conversational AI, Claude, AI/ML Workflows, Model Lifecycle Management, Multi-Cloud Platforms, Data Integration, Oracle Databases, Software Design Patterns, Agile, Performance Optimization, Financial Forecasting