Gen AI Developer
VirtusaIreland
Posted January 4, 2026
Full Time
About the Company
Virtusa is a global product and platform engineering firm that partners with enterprises to accelerate growth, profitability, and sustainability through domain‑driven solutions. The company blends strategy, design, and engineering—supported by deep expertise at the intersection of industry, business, and technology—to deliver tangible business impact. Virtusa’s service portfolio spans IT consulting, digital transformation, AI advisory, cloud and security, data analytics, and managed services across sectors such as financial services, healthcare, media, and manufacturing. Its distinctive value lies in combining industry‑specific insight with cutting‑edge technology to create next‑generation experiences that drive measurable outcomes.
Job Description
We are seeking a highly skilled Gen AI Developer with 6–10 years of experience in application development or systems analysis, with a strong focus on AI/ML and Generative AI technologies.
Requirements
- 6–10 years of experience in application development or systems analysis
- Strong foundational knowledge in Generative AI, Machine Learning, Data Science, and Statistics
- Solid understanding of AI fundamentals, including Natural Language Processing (NLP), Neural Networks, and Large Language Models (LLMs)
- Hands-on experience with leading LLMs such as Google Gemini, OpenAI models, Anthropic Claude, Mistral, Llama, and other open-source models
- Deep expertise in designing and implementing Retrieval-Augmented Generation (RAG) pipelines, including advanced RAG techniques
- Proven ability to build, fine-tune, and deploy LLM-based applications using platforms like Vertex AI and Hugging Face
- Strong experience in prompt engineering, prompt tuning, and creating reusable prompt frameworks
- Experience implementing agentic AI frameworks for real-world use cases
- Knowledge of AI guardrails, evaluation techniques, and performance/safety monitoring
- Strong programming skills in Python, with hands-on experience in libraries such as Pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Transformers, FastAPI, Seaborn, LangChain, and LlamaIndex
- Experience integrating Generative AI solutions into enterprise systems using APIs, orchestration tools, and knowledge graphs
- Hands-on experience with vector databases such as PGVector, Pinecone, MongoDB Atlas, and Neo4j
- Experience working with large-scale unstructured data and designing high-throughput data processing solutions
- Proven experience deploying GenAI/ML models into production environments
- Strong understanding of MLOps practices, including model evaluation, monitoring, and lifecycle management
- Experience with CI/CD pipelines and tools such as Jenkins, GitLab CI, Azure DevOps, or ArgoCD
- Experience with containerization and orchestration platforms such as Docker, Kubernetes, or OpenShift
- Strong exposure to cloud-native environments and scalable architecture design
- Excellent problem-solving and analytical abilities
- Strong communication and collaboration skills for working with cross-functional teams
- Ability to work independently and manage complex, ambiguous challenges