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 #J-18808-Ljbffr
Project Manager (CREQ123792) - Virtusa Are you passionate about solving business issues with new technology? Ready to put your well‑rounded (engineering, developer, architecture) skills to use? We at Virtusa would like to meet you! Key Responsibilities Plan, coordinate, and deliver on the creation and maintenance of in‑house tools and the adaptation/integration of third‑party tools for use in production. Manage projects in a structured and professional manner according to Agile methodology and report on the status of the project weekly internally and externally. Quickly understand the situation and the needs of the business and translate them into viable solutions. Ensure that projects are delivered on‑time and within scope with available resources. Coordinate, supervise, and act as the strategist for projects from beginning to end. Role Specifics Proactively monitor the operational and IT risks for applications within scope, in line with Citi’s defined Risk & Control framework. Liaise with tech leads, internal and external teams to ensure risk commitments are delivered on‑time, and articulate to senior management. Proactively contribute to the improvement of governance structure to strengthen risk and control. Audit management – liaise with tech leads and internal/external audit teams for successful and on‑time audits. Lead escalations as appropriate within different groups to resolve conflicts. About the Candidate / Skills / Experience Good understanding of IT General Controls is key. The role is quite hands‑on; the candidate must be able to wear multiple hats and challenge tech leads. Candidate must come from a BA/Tech background. Exposure to working with and contributing to audit requests. Solid experience managing different types/levels of software projects, preferably in a banking or financial services enterprise environment. Experience building dashboards in Power BI or a similar tool would be highly beneficial. About Virtusa Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 21,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state‑of‑the‑art technologies throughout your career with us. Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence. Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non‑disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. #J-18808-Ljbffr
A leading global technology firm is seeking a Project Manager in Dublin to manage and deliver projects effectively within a structured Agile environment. The role demands a strong BA/Tech background, experience in financial services, and a hands-on approach with IT General Controls. Candidates should possess skills in risk management and dashboard creation in tools like Power BI. This opportunity offers a dynamic work culture focused on professional growth and collaboration. #J-18808-Ljbffr
A leading technology solutions provider is seeking a highly skilled professional with 6–10 years of experience in application development focusing on AI/ML and Generative AI technologies. The role requires deep expertise in implementing advanced AI models and strong programming skills in Python, with experience in libraries such as Pandas and TensorFlow. Candidates should be adept in deploying models in production environments and integrating solutions into enterprise systems while demonstrating excellent problem-solving and collaboration abilities. #J-18808-Ljbffr
Job Description Description Job Description We are seeking a highly skilled professional with 6–10 years of experience in application development or systems analysis, with a strong focus on AI/ML and Generative AI technologies . Core AI/ML Expertise 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) Generative AI & LLM Capabilities 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 Deployment & MLOps 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 Soft Skills 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 #J-18808-Ljbffr
