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
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
LLM & Generative AI Expertise
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
Programming & Data Engineering
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
Deployment & MLOps
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
Cloud & Containerization
Work with cloud‑native architectures and services
Deploy and manage containerized applications using Kubernetes or OpenShift
Optimize performance and scalability in distributed environments
Required Skills & Qualifications
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
Preferred Qualifications
Experience in enterprise‑scale AI implementations
Familiarity with knowledge graphs and semantic search
Exposure to AI governance, ethics, and responsible AI practices
Why Join Virtusa?
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
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