Description

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:

Bachelor’s degree in Engineering or equivalent practical experience.

Requirements added by the job poster

• 2+ years of work experience with Python (Programming Language)

• 2+ years of work experience with Java
 

Key Skills

Education

Any Graduate