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Job Description – AI/ML Engineer (Generative AI & LLMs)
Company: Virtusa
Experience: 6–10 Years
Location: [Specify Location]
Employment Type: Full-Time
Role Overview
We are seeking a highly skilled AI/ML Engineer with strong expertise in Generative AI and Large Language Models (LLMs). The ideal candidate will have a solid foundation in machine learning, data science, and AI fundamentals, along with hands-on experience in designing, building, and deploying scalable GenAI solutions in enterprise environments.
Key Responsibilities
Core AI/ML & GenAI Development
Company: Virtusa
Experience: 6–10 Years
Location: [Specify Location]
Employment Type: Full-Time
Role Overview
We are seeking a highly skilled AI/ML Engineer with strong expertise in Generative AI and Large Language Models (LLMs). The ideal candidate will have a solid foundation in machine learning, data science, and AI fundamentals, along with hands-on experience in designing, building, and deploying scalable GenAI solutions in enterprise environments.
Key Responsibilities
Core AI/ML & GenAI Development
- Design and develop advanced AI/ML models with a focus on Generative AI use cases
- Build and implement scalable LLM-powered applications for enterprise solutions
- Apply strong fundamentals in NLP, neural networks, and statistical modeling
- Develop, optimize, and deploy Retrieval-Augmented Generation (RAG) pipelines
- Work extensively with leading LLMs such as OpenAI, Google (Gemini), Anthropic (Claude), Mistral, and LLaMA
- Build, fine-tune, and deploy LLM-based applications using platforms like Vertex AI and Hugging Face
- Develop advanced prompt engineering strategies, reusable prompt templates, and prompt tuning techniques
- Implement agentic frameworks for complex AI-driven workflows
- Apply guardrails and evaluation frameworks to ensure performance, safety, and reliability of GenAI systems
- Develop high-quality code in Python with strong hands-on experience in:
- Pandas, NumPy, scikit-learn
- PyTorch, TensorFlow, Transformers
- FastAPI, LangChain, LlamaIndex
- Integrate GenAI solutions with enterprise applications via APIs, orchestration tools, and knowledge graphs
- Work with vector databases such as PGVector, Pinecone, MongoDB Atlas, Neo4j
- Design solutions for processing and managing large-scale unstructured datasets
- Deploy GenAI and ML models into production environments
- Implement and manage MLOps pipelines, including model evaluation and monitoring
- Build and maintain CI/CD pipelines using tools such as Jenkins, GitLab CI, Azure DevOps, or ArgoCD
- Ensure scalability, reliability, and performance of deployed AI systems
- Work with cloud-native architectures and services
- Deploy and manage containerized applications using Kubernetes or OpenShift
- Optimize performance and scalability in distributed environments
- 6–10 years of experience in application development, AI/ML, or systems analysis
- Strong foundation in Machine Learning, Data Science, and Statistics
- Hands-on experience with Generative AI, LLMs, and RAG pipelines (mandatory)
- Advanced Python programming skills
- Experience with cloud platforms and containerization technologies
- Strong understanding of software engineering best practices and Agile methodologies
- Experience in enterprise-scale AI implementations
- Familiarity with knowledge graphs and semantic search
- Exposure to AI governance, ethics, and responsible AI practices
- Opportunity to work on cutting-edge Generative AI projects
- Collaborative and innovation-driven work environment
- Access to global clients and enterprise-scale challenges
- Continuous learning and career growth opportunities
Key Skills
Ranked by relevance
ai
machine learning
python
cloud
containerization
neural networks
kubernetes
tensorflow
gitlab ci
jenkins
devops
gitlab
numpy
mlops
cicd
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- Posted
- May 12, 2026
- Type
- Full-time
- Level
- Associate
- Location
- Wicklow
- Company
- Virtusa
Industries
IT Services
IT Consulting
Categories
Engineering
Information Technology
Related Jobs
3 roles aligned with this opportunity
View Job Details
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.Net developer
2026-05-21
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View Job Details
Related
Fullstack developer
2026-05-11
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View Job Details
Related
Lead Data Scientist with Python
2026-05-29
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