Artificial Intelligence Engineer
BayOne Solutions
Artificial Intelligence Engineer
Start Date
Starts Immediately
CTC (ANNUAL)
Competitive salary Competitive salary
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About the job
Job Title: Agentic AI Engineer
Location: Chennai
Job Summary:
BayOne Solutions is seeking an Agentic AI Engineer to design, build, and deploy production-grade AI systems for internal and client engagements. The role involves developing agent-based AI applications, APIs, data pipelines, and cloud-native solutions while ensuring engineering excellence, scalability, and reliability.
Key Responsibilities:
- Build and deploy agentic AI solutions from POC to production.
- Develop multi-agent systems using LangGraph and Model Context Protocol (MCP).
- Design and maintain APIs, web applications, and backend services using Python and FastAPI.
- Work with Azure AI Foundry, vector databases, PostgreSQL, and cloud infrastructure.
- Implement testing, evaluation frameworks, monitoring, and documentation.
- Collaborate across distributed teams and contribute to architecture decisions.
Required Skills:
- Strong Python development experience.
- Hands-on expertise in Agentic AI systems and production deployments.
- Microsoft Azure and Azure AI Foundry experience (mandatory).
- Experience with Claude Code, LangGraph, MCP, Pydantic, FastAPI, Docker, SQL, PostgreSQL.
- Knowledge of vector databases, RAG, modern LLMs (GPT, Claude, Gemini), and CI/CD practices.
- Familiarity with cloud-native development and infrastructure automation.
Preferred Skills:
- GCP, AKS, Container Apps, Airflow, Kafka, LangChain, CrewAI, LlamaIndex, Redis, Celery, Playwright.
Qualification:
Bachelors degree in Engineering or equivalent practical experience.
Earn certifications in these skills
+ 3 more skills
Who can apply
Only those candidates can apply who:
1. have minimum -1 years of experience
Salary
Probation:
Duration:
Salary during probation:
After probation:
Annual CTC: Competitive salary
Number of openings
1
Editor’s note
Information above is Internshala's interpretation and paraphrasing of what we found on the shared link.
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