Agentic AI Engineer

Robotics Technologies is hiring an Agentic AI Engineer for an onsite contract role in San Jose, CA. This position focuses on building autonomous AI systems and intelligent agents that can reason, plan, and execute multi-step tasks with minimal human intervention. You will create agent-based workflows that connect large language models (LLMs) to enterprise applications, APIs, and external data sources, with an emphasis on reliability, monitoring, and production readiness.

What you’ll build

You will develop agentic solutions that combine orchestration, memory, and planning with integrated tool use. The work includes building multi-agent workflows for complex execution and decision-making, implementing RAG-based applications for contextual retrieval, and developing evaluation frameworks to measure accuracy and reliability.

Responsibilities

• Design and develop autonomous AI agents for enterprise business applications.
• Build multi-agent workflows for complex task execution and decision-making.
• Integrate LLMs with APIs, databases, and external enterprise tools.
• Develop RAG-based applications to improve contextual information retrieval.
• Implement agent memory, planning, reasoning, and orchestration mechanisms.
• Create evaluation frameworks to measure agent accuracy and reliability.
• Optimize prompts, model responses, latency, and token consumption.
• Implement monitoring, logging, and security controls for AI agent systems.
• Collaborate with data scientists, software engineers, and solution architects.
• Maintain technical documentation and support production deployments.

Required qualifications

• 5–8 years of experience in software engineering, AI, or machine learning.
• 2+ years of hands-on experience building LLM-based applications.
• Practical experience developing AI agents and multi-agent systems.
• Strong Python skills and experience with API integration.
• Experience implementing RAG pipelines and vector search solutions.
• Knowledge of cloud-based AI services and deployment environments.
• Understanding of AI safety, responsible AI, and application security.
• Experience taking AI prototypes into production environments.
• Bachelor’s degree in Computer Science, Artificial Intelligence, Software Engineering, or a related technical field.
• Practical project experience with autonomous agents, LLM orchestration, and intelligent automation is highly valued.

Tools and technologies

Python; LangChain; LangGraph; CrewAI; AutoGen; Semantic Kernel; GPT; Claude; Llama; Retrieval-Augmented Generation (RAG); vector databases (Pinecone, Weaviate, Chroma); prompt engineering; tool calling and function calling; REST APIs; AWS Bedrock; Azure AI Foundry; Google Vertex AI.

Education and preferred credentials

• Bachelor’s degree in Computer Science, Artificial Intelligence, Software Engineering, or a related technical field.
• Master’s degree in Machine Learning, Computational Linguistics, or Data Science is an added advantage.
• Certifications in AWS Generative AI, Microsoft Azure AI, or Google Cloud Generative AI are preferred.

Compensation: USD 92 per hour. Job type: contract. Location: San Jose, CA (onsite).