AI Engineer – Agentic AI | Offshore
Photon Scan (Photon Dental Group) (company site, opens in a new tab)5+ yrsOn-siteDirect career pageEst. 14–24 LPA
Posted on 10 Sept
Reach people at Photon Scan (Photon Dental Group)
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Photon Scan (Photon Dental Group) you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Design and develop AI agents and agentic workflows including super-agent and sub-agent architectures using Python, LangChain, and LangGraph.
- Build and deploy production-grade AI solutions leveraging Amazon Bedrock and integrate with REST APIs, databases, and enterprise systems.
- Implement reliability features such as error handling, validation, retries, and fallback strategies to ensure robustness of AI-driven workflows.
Minimum Requirements
- Approximately 5 years of software development experience.
- Strong proficiency in Python programming.
- Mandatory hands-on experience with Amazon Bedrock and building Generative AI/LLM applications involving AI agents or agentic workflows.
- Experience with LangChain and/or LangGraph, RAG solutions, embeddings, vector databases/search, and REST API development.
Ideal Candidate Profile
- Experienced in designing and orchestrating complex multi-step agentic workflows involving super-agent and sub-agent patterns.
- Demonstrates deep understanding of prompt engineering, function/tool calling, structured outputs, agent state management, and workflow orchestration in AI contexts.
- Familiar with deploying scalable AI services on AWS cloud environments, including Docker and AWS services integration.