Ai Ml Engineer
Description
We are hiring for "AIML Engineer" at Virtusa.
Please share your updated CV along with below details
** Candidates with notice period more than 15 days need not apply
* Total Experience -
* Current CTC -
* Expected CTC -
* Notice Period/LWD -
* Current Location -
* Preferred Location -
Email : pallaviramesht@virtusa.com
Job Description
Design, build, test, and deploy AI agents and agent-based applications.
Develop solutions using frameworks such as LangChain, LangGraph, and related AI orchestration tools.
Integrate AI applications with external systems, APIs, databases, and enterprise services.
Build and maintain integrations using MCP and/or A2A protocols.
Develop Python-based services, workflows, and automation solutions that support AI applications.
Implement tool calling, retrieval-augmented generation (RAG), memory, and workflow orchestration patterns..
Utilize modern development practices including source control, CI/CD, and collaborative development workflows.
Stay current on advances in AI frameworks, agent architectures, and interoperability standards.
Required Qualifications
2+ year of experience developing AI applications, agents, or LLM-powered solutions.
Experience building agents using LangChain, LangGraph, or comparable agent frameworks.
Experience developing or integrating solutions using MCP and/or A2A protocols.
Strong proficiency in Python software development.
Experience integrating external APIs, tools, and services into AI workflows.
Experience with GitHub, Git, and modern source control practices.
Experience using Visual Studio Code (VS Code) or similar development environments.
Familiarity with AI-assisted development tools such as Claude Code, Gemini CLI, Codex, or similar platforms.
Understanding of prompt engineering, tool use, workflow orchestration, and AI application design.
Strong troubleshooting, analytical, and problem-solving skills.
Preferred Qualifications
Experience with Retrieval-Augmented Generation (RAG) architectures.
Experience working with vector databases and embeddings.
Familiarity with cloud platforms such as Azure, AWS, or Google Cloud.
Experience deploying Python applications in containerized environments.
Knowledge of API design, REST services, and authentication methods.
Experience working in Agile development teams.
Technical Skills
Python,LangChain,LangGraph,MCP (Model Context Protocol),A2A (Agent-to-Agent Protocol)
GitHub / Git,VS Code,Claude Code, Gemini CLI, Codex, or similar AI development tools
REST APIs and integrations,Large Language Models (LLMs)
Regards,
Pallavi Tapase