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Salary
≈ $20k – $44k per year (Estimated)
Location
In office (Gurgaon)
Experience
6+ years exp
Employment
Full-Time

First seen by Alion on Oct 12, 2026.

Overview
Company
Impact
Profile match
Virtusa (Virtusa Corporation) is a global digital engineering and information technology services company that provides digital transformation, IT consulting, cloud modernization, and systems integration solutions. Headquartered in Southborough, Massachusetts, the firm operates delivery centers and regional hubs across North America, Europe, and the Asia-Pacific region - with major operational bases in India and Sri Lanka. Founded in 1996, it serves Global 2000 enterprises across sectors such as banking and financial services, healthcare, life sciences, telecommunications, insurance, and retail, utilizing an engineering-led approach to optimize core platforms, deploy AI-driven capabilities, and accelerate business operations.
Backed by CRV
Job Requirements

Experience 6 to 9 years

Core technologies LangGraph, Langfuse, Prometheus, Grafana, Visual Studio

Code, latest LLM models and methodologies, Oracle

Database 19c / 26ai, EBS, FMW Application, Oracle Cloud

Infrastructure (OCI)

We are looking for an experienced AI DBA Engineer to design, build and run production-

grade database and applications operations powered by large language models (LLMs). The

role sits where software engineering, applied AI and operations meet. You will build agentic

workflows with LangGraph, trace and evaluate them with Langfuse, and keep them

observable and reliable in production with Prometheus and Grafana. The candidate will

drive database operations modernization through automation, AI-assisted monitoring,

predictive analytics, and self-healing capabilities.

The LLM landscape changes quickly, so we need someone who keeps pace with new models

and techniques and knows how to apply the right ones to real business problems, with a

clear eye on quality, cost, security and maintainability.

Key responsibilities

Design, build and deploy LLM-powered applications, including conversational

assistants, retrieval-augmented generation (RAG) solutions and multi-step AI agents.

Build stateful, multi-agent workflows with LangGraph, covering tool calling, branching

logic, human-in-the-loop steps, memory and error recovery.

Instrument AI applications with Langfuse for end-to-end tracing, prompt management

and versioning, cost and latency tracking, and evaluation of model outputs.

Set up monitoring, dashboards and alerting for AI services with Prometheus and

Grafana, covering latency, throughput, token usage, error rates and quality metrics.

Evaluate and select commercial and open-source LLMs for each use case, balancing

answer quality, cost, latency and data-privacy requirements.

Apply prompt engineering, embeddings, vector search and fine-tuning to improve

accuracy and reduce hallucinations.

Build evaluation pipelines and guardrails, including curated test sets, LLM-as-judge

scoring, and safety and content filters.

Bechtel Level 3 – General. Non-Confidential Business

Information.

Work Experience

7-10Years
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