Agentic AI Engineer

Robotic Process Automation LLC; San Jose (CA); In loco; USD 150.000 - 230.000; Tempo pieno

Descrizione del lavoro

Robotic Technologies Automation seeks an experienced AI Engineer to design and deploy autonomous AI agents for enterprise workflows. You will build multi-agent systems with planning, reasoning, and execution capabilities, and orchestrate them using LangGraph, CrewAI, or AutoGen.

Responsibilities include developing RAG pipelines, integrating external tools and APIs, and optimizing latency and scalability while ensuring responsible AI practices.

Competenze

• 5+ years in software AI/ML engineering or similar.
• Experience delivering agent-based AI workflows in production.
• Strong Python and API integration skills.
• Experience with cloud AI services and scalable architectures.
• Knowledge of security, guardrails, and responsible AI practices.

Mansioni

• Design autonomous AI agents for enterprise workflows.
• Build multi-agent systems with planning and execution capabilities.
• Implement agent orchestration with LangGraph, CrewAI, or AutoGen.
• Develop RAG pipelines connecting LLMs with knowledge sources.
• Integrate tools, APIs, databases, and services with agents.
• Implement prompt engineering, memory management, and context handling.
• Evaluate agent performance and reliability.
• Collaborate with data scientists and software engineers.

Conoscenze

Python

AI/ML development

LLMs & prompt engineering

RAG architectures

Agent orchestration

REST API integration

Distributed systems

Docker

Kubernetes

Git

CI/CD

Vector databases

Formazione

Bachelor's degree in CS/AI/DS

Master's in AI/ML/CS

AWS/Azure/Google Cloud AI certs

Strumenti

LangChain

LangGraph

CrewAI

AutoGen

Semantic Kernel

Pinecone

Weaviate

ChromaDB

FAISS

OpenAI API

Azure OpenAI

AWS Bedrock

Vertex AI

Descrizione del lavoro

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-4-EAD, Other

Position Overview:

The Agentic AI Engineer will design, develop, and deploy intelligent AI agents capable of reasoning, planning, decision-making, and executing complex tasks with minimal human intervention. This role focuses on building autonomous AI workflows, integrating large language models, and developing scalable multi-agent systems for enterprise applications.

AI Technologies & Technical Requirements:

Strong programming experience with Python and AI/ML development.

Hands-on experience building AI agents using LangChain, LangGraph, CrewAI, AutoGen, or Semantic Kernel.

Strong understanding of Large Language Models (LLMs) and prompt engineering.

Experience with Retrieval-Augmented Generation (RAG) architectures.

Knowledge of vector databases such as Pinecone, Weaviate, ChromaDB, or FAISS.

Experience with LLM APIs and platforms such as OpenAI, Azure OpenAI, AWS Bedrock, or Google Vertex AI.

Understanding of tool calling, function calling, memory management, and agent orchestration.

Experience integrating AI agents with REST APIs, databases, and enterprise applications.

Knowledge of NLP, machine learning, and deep learning fundamentals.

Familiarity with Docker, Kubernetes, Git, and CI/CD pipelines.

Understanding of AI evaluation, observability, guardrails, and responsible AI practices.

Core Engineering Responsibilities:

Design and develop autonomous AI agents for enterprise business workflows.

Build multi-agent systems with task planning, reasoning, and execution capabilities.

Implement agent orchestration using frameworks such as LangGraph, CrewAI, or AutoGen.

Develop RAG pipelines to connect LLMs with enterprise knowledge sources.

Integrate external tools, APIs, databases, and internal services with AI agents.

Implement prompt engineering, context management, and conversation memory.

Evaluate agent performance, accuracy, reliability, and response quality.

Develop security controls, guardrails, and human-in-the-loop approval workflows.

Optimize LLM latency, token consumption, scalability, and infrastructure costs.

Collaborate with data scientists, software engineers, architects, and business stakeholders.

Experience & Technical Competencies:

5+ years of experience in software engineering, AI engineering, or machine learning development.

2+ years of hands-on experience with LLM-based applications or generative AI solutions.

Practical experience developing agentic AI workflows and production-ready AI applications.

Strong Python programming and API integration skills.

Experience with cloud-based AI services and deployment environments.

Understanding of distributed systems, microservices, and scalable application architecture.

Strong analytical, debugging, and problem-solving abilities.

Academic Background & Preferred Certifications:

Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

Master's degree in AI, Machine Learning, or Computer Science is preferred.

Relevant certifications in AWS, Azure AI, Google Cloud AI, or Generative AI are an advantage.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.