Agentic AI Developer

Machine Learning Technologies, LLC; San Jose (CA); On-site; USD 160,000 - 220,000; Full time

Job summary

Machine Learning Technologies, LLC seeks a software engineer to develop autonomous AI systems capable of reasoning, planning, and executing multi-step tasks with minimal human intervention. You will build intelligent AI agents, integrate LLMs, and create agent-based workflows that interact with enterprise applications and external data sources.

The role emphasizes strong Python development, hands-on experience with LangChain/LangGraph, and building production-ready AI agents, with a focus on

Qualifications

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

Responsibilities

• Design and develop autonomous AI agents for enterprise apps.
• Build multi-agent workflows for complex tasks and decisions.
• Integrate LLMs with APIs, databases, and external tools.
• Develop RAG-based apps to improve retrieval of contextual info.
• Implement memory, planning, reasoning, and orchestration mechanisms.

Skills

Python programming

LangChain

LangGraph

multi-agent frameworks

LLMs integration

RAG and vector DBs

prompt engineering

REST APIs

agent planning & memory

enterprise tool integration

vector databases

cloud AI services

system security & monitoring

documentation & deployment

Education

Bachelor's degree in CS/AI/related

Master's degree in ML/DS is a plus

Certifications in cloud generative AI (preferred)

Job description

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

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.

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.