Job Description

AIML

We are hiring a Senior AIML Engineer specializing in Natural Language Processing (NLP) and

Generative AI to join our high-impact AI Solutions team, focused on delivering advanced,

production-grade AI solutions in the Electrification domain. In this role, you will work at the frontier

of AI innovatiodesigning and developing RetrievalAugmented Generation (RAG) pipelines, finetuning

LLMs, and building Agentic AI systems that are robust, scalable, and insightful.

Responsibilities:

Design, develop, and optimize NLPdriven AI solutions using state-of-the-art models and

techniques (NER, embeddings, summarization, etc.).

Build and productionize RAG pipelines and agentic workflows to support intelligent, contextaware

applications.

Finetune, prompt-engineer, and deploy LLMs (OpenAI, Anthropic, Falcon, LLaMA, etc.) for

domainspecific use cases.

Collaborate with data scientists, backend developers, and cloud architects to build scalable AIfirst

systems.. Evaluate and integrate third-party models/APIs and open-source libraries for generative use

cases.

Continuously monitor and improve model performance, latency, and accuracy in production

settings. Implement observability, performance monitoring, and explainability features in deployed

models.

Ensure solutions meet enterprise-level requirements for reliability, traceability, and

maintainability.

Required Qualifications:

Master or Bachelor degree in Computer Science, Machine Learning, AI, or a related field.

years of overall experience in AI/ML, with at least 2+ years in NLP and 12 years in Generative

AI. Strong understanding of LLM architectures, fine-tuning methods (LoRA, PEFT), embeddings, and

vector search.

Experience in designing and deploying RAG pipelines and working with multi-step agent

architectures.

Proficiency in Python and frameworks like LangChain, Transformers (HuggingFace),

LlamaIndex, SmolAgents, etc.

Familiarity with ML observability and explainability tools (e.g., TruEra, Arize, WhyLabs).

Knowledge of cloud-based ML services like AWS Sagemaker, AWS Bedrock, Azure OpenAI

Service, Azure ML Studio, and Azure AI Foundry.

Preferred Qualifications:

Experience in integrating LLM-based agents in production environments.

Understanding of real-time NLP challenges (streaming, latency optimization, multi-turn

dialogues).

Familiarity with LangGraph, function calling, and tools for orchestration in agent-based systems.

Exposure to infrastructure-as-code (Terraform/CDK) and DevOps for AI pipelines. Domain knowledge in Electrification, Energy, or Industrial AI is a strong plus.



Mandatory Skills



Natural Language Processing (NLP)

Generative AI

RAG pipelines

LLMs

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 27,000 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.