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Salary
≈ $21k – $44k per year (Estimated)
Location
In office (Hyderabad)
Seniority
Senior · 6+ years exp

First seen by Alion on Aug 20, 2026.

Overview
Company
Impact
Profile match
Tavant focuses on helping enterprises unlock the power of AI and accelerate digital transformation, improving efficiency, productivity, and accuracy to succeed in a rapidly changing business environment.

Job Description :

We are looking for an experienced AI/ML Engineer to design, develop, and deploy enterprise-grade Generative AI and Agentic AI solutions.

The candidate will build scalable RAG pipelines, multi-agent workflows using LangGraph, and MCP-enabled integrations while leveraging Azure AI technologies.

Responsibilities :

- Develop AI applications using Python, Azure OpenAI, and RAG architectures.

- Design and implement agentic workflows using LangGraph and MCP.

- Build and optimize vector search and knowledge retrieval systems.

- Integrate AI agents with enterprise tools and APIs through MCP Gateway.

- Deploy, monitor, and scale AI solutions on Azure cloud.

- Collaborate with product and engineering teams to deliver production-ready AI applications


Required Skillset :


- Demonstrated proficiency in building and deploying machine learning models using Python, PyTorch, TensorFlow, or Scikit-learn within production-grade environments.


- Strong expertise in cloud-based AI services and MLOps practices, specifically within AWS or Azure ecosystems, to manage the full model lifecycle.


- Proven ability to translate complex technical concepts into actionable insights for non-technical stakeholders through clear and concise communication.


- Deep understanding of data structures, algorithms, and software engineering best practices, supported by a degree in Computer Science, Engineering, or a related quantitative field.

Skills

Artificial Intelligence, Machine Learning, RAG, OpenAI, Python, VectorDB, PyTorch, Tensorflow

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