Agentic AI Engineer
Kasmo Global
Cloud-Native Automation And AI Agent Workflows Developer
Design, develop, and support cloud-native automation and AI agent workflows using Python, and LLM orchestration frameworks (LangChain / LangGraph), deployed on AWS using containerized architectures.
Responsibilities
- Develop automation solutions using Python.
- Build AI agents using LangChain and LangGraph to orchestrate tools, APIs, and workflows.
- Integrate automations with enterprise systems via REST APIs and databases.
- Containerize services using Docker and support CI/CD pipelines.
- Deploy and operate solutions on AWS (IAM, S3, Lambda, ECS/Fargate, CloudWatch).
- Reasoning Engines: Experience with frontier models like GPT-4o, Claude 3.5, and Llama 3.x/4 specifically for tool-calling and JSON-mode outputs
- Azure OpenAI proficiency.
- Agentic RAG 2.0: Develop "iterative retrieval" systems where agents autonomously decide if they have enough information or if they need to perform additional searches/queries.
- Implement logging, error handling, and basic monitoring.
- Collaborate with onshore architects and follow defined architecture standards.
Required Skills
- Python (automation, backend services).
- JavaScript (React/Node JS)
- LangChain and/or LangGraph hands-on experience.
- Docker and container-based deployments.
- AWS Cloud Practitioner-level knowledge with hands-on exposure.
- REST APIs, JSON, Git.
Vacancy posted 3 days ago
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