Agentic AI Developer

MACHINE LEARNING TECHNOLOGIES LLC; San Jose (CA); On-site; USD 97,000 - 138,000; Full time

Job summary

Agentic AI Developer role at MACHINE LEARNING TECHNOLOGIES LLC in San Jose, CA. Design autonomous AI agents capable of reasoning, planning, and executing multi-step tasks with minimal human input. Integrate LLMs and build agent-based workflows interfacing with enterprise apps, APIs, and external data.

Responsibilities include multi-agent orchestration, RAG-based retrieval, memory, and production-grade monitoring. Requires 5–8 years in software/AI and strong Python + API experience.

Qualifications

• 5–8 years of software/AI experience.
• 2+ years building LLM-based applications.
• Hands-on with AI agents and multi-agent systems.
• Strong Python and API integration experience.
• Experience with RAG pipelines and vector search.

Responsibilities

• Design autonomous AI agents for enterprise apps.
• Build multi-agent workflows for complex tasks.
• Integrate LLMs with APIs, DBs and tools.
• Develop RAG-based apps for contextual retrieval.
• Implement memory, planning, reasoning, and orchestration.
• Create evaluation frameworks for agent accuracy.
• Optimize prompts, latency, and token usage.
• Add monitoring, logging, and security controls.
• Collaborate with data scientists and solution architects.
• Maintain documentation and production deployments.

Skills

prompt engineering

API integration

Python programming

object-oriented design

multi-agent workflows

LLM orchestration

enterprise systems

solution architectures

Education

Bachelor's degree in CS or related

Master's in ML/DS (advantage)

AWS/Azure/GCP GenAI certs (pref)

Tools

Python

LangChain

LangGraph

CrewAI

AutoGen

Semantic Kernel

GPT

Claude

Llama

Pinecone

Weaviate

Chroma

RAG pipelines

AWS Bedrock

Azure AI Foundry

Google Vertex AI

REST APIs

Job description

Job ID: J54269

Client: To Be Discussed Later

Agentic AI Developer

Location: San Jose, CA

Duration: 12 Months + Extension

Bill Rate: $85/hour (C2C)

Job Type: W-2, 1099, C2C

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Position Overview

This opportunity focuses on developing autonomous AI systems capable of reasoning, planning, and executing multi-step tasks with minimal human intervention. The engineer will build intelligent AI agents, integrate Large Language Models (LLMs), and develop agent-based workflows that interact with enterprise applications, APIs, and external data sources.

Specialized Technical Skills

• Strong programming experience with Python and object-oriented development.
• Hands‑on experience building AI agents using LangChain and LangGraph.
• Knowledge of multi‑agent frameworks such as CrewAI, AutoGen, or Semantic Kernel.
• Experience with Large Language Models (LLMs) such as GPT, Claude, or Llama.
• Strong understanding of Retrieval‑Augmented Generation (RAG) and vector databases.
• Experience with prompt engineering, tool calling, and function calling.
• Knowledge of agent planning, reasoning, memory, and orchestration.
• Experience integrating REST APIs, enterprise systems, and external tools.
• Familiarity with vector databases such as Pinecone, Weaviate, or Chroma.
• Exposure to AWS Bedrock, Azure AI Foundry, or Google Vertex AI.

Engineering 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.
• Build 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 Professional Experience

• 5–8 years of experience in software engineering, AI, or machine learning.
• 2+ years of hands‑on experience with LLM‑based application development.
• Practical experience developing AI agents and multi‑agent systems.
• Strong Python programming and API integration experience.
• 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.

Academic Qualifications & Industry Certifications

• 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.
• Practical project experience with autonomous agents, LLM orchestration, and intelligent automation is highly valued.

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.