Agentic AI Engineer
Agentic AI Engineer
Arithan Petroleum- Posted a month ago
- Over 100 applicants have applied
Job Description
Key Responsibilities:
- Develop and deploy autonomous AI agents using LLMs and agentic AI frameworks.
- Work with LangChain, AutoGPT, CrewAI, OpenAI APIs or similar tools.
- Integrate AI systems with external APIs, databases, and enterprise tools.
- Optimize agent workflows for task planning, reasoning, and execution.
- Collaborate with cross-functional teams to build production-grade AI solutions.
- Monitor and improve performance, reliability, and scalability of AI systems.
More Info
Key Skills
About Company
Skills:
Java, Google Cloud, AWS, Enterprise Security, Python, Azure, Iam, LangChain, Go, Langraph, GoogleADK, rbac, A2A protocols, sandboxing, cloud-native DevOps practices
Skills:
Docker, Python, Pytest, Oop, Git, Modules, AWS Bedrock, unittest, Fixtures, LangGraph, access controls, LangChain, DevOps Basics, async, CI pipelines, basic understanding of guardrails, Typing, few-shot RAG types and approaches, basic evaluation awareness
Skills:
Python, Docker, Git, LangChain, AWS Bedrock, LangGraph
Skills:
graph databases , Jax, Distributed Systems, Nlp, Pytorch, Docker, Python, Deep Learning, Information Retrieval, FastAPI, Kubernetes, Hugging Face, Ray, Robotics AI, LangGraph, Vector Databases, GPU Computing, Multi-Agent Systems, Search, DSPy, Probabilistic Reasoning, Large Language Models, Planning Algorithms, Cognitive Architectures, reinforcement learning, vLLM, Agentic AI, MCP, LlamaIndex, Knowledge Graphs
Skills:
Kubernetes, S3, Lambda, AWS, FastAPI, Python, Terraform, Docker, Apis, EKS, LLMs integration, Pydantic, Vector Databases, AI Technologies, prompt context engineering, observability and monitoring platforms, LangGraph, AI Agent frameworks