Job Description

6+ years hands-on experience in ML/Applied AI (or equivalent), with strong Python fundamentals.


Proven experience building RAG applications in production (embedding models, vector search, reranking, prompt routing).


GCP proficiency: Vertex AI, BigQuery, Cloud Run or GKE, Cloud Build, Pub/Sub, GCS, IAM.


Frameworks: LangChain or similar (e.g., LlamaIndex, DSPy, Semantic Kernel).


Prompt engineering skills: few-shot design, tool calling, evaluation/guardrails.


Strong software practices: Git, CI/CD, typing, testing, code reviews, performance profiling.


Experience with vector DBs and retrieval services: Vertex AI Matching Engine, FAISS, Pinecone, Weaviate, Milvus, Chroma.


LLM providers & serving: Vertex AI, OpenAI, Anthropic, local (vLLMs), model gateways.


Evaluation & observability: RAGAS, TruLens, Promptfoo, LangSmith, Weights & Biases, Arize.


Agents/agentic frameworks; ADK (Agent Developer Kit) & Agentspace exposure is a plus.

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.