AI Engineer

MACHINE LEARNING TECHNOLOGIES LLC; Indianapolis (IN); On-site; USD 94,000 - 134,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC is seeking an experienced AI Engineer in Indianapolis to design, develop, and deploy intelligent applications. The role focuses on building AI-powered solutions, predictive models, and integrating large language models into scalable systems.

You will work with data scientists and engineers to implement RAG pipelines, leverage LangChain frameworks, and optimize inference latency.

Qualifications

• Strong Python programming with ML/DL implementation.
• Experience with TensorFlow, PyTorch, Scikit-learn.
• Experience with Generative AI and Large Language Models.
• Familiarity with NLP, RAG architectures and vector DBs.
• Experience with LangChain, LangGraph, or LlamaIndex.
• REST APIs, Docker, Kubernetes, and cloud platforms.
• Understanding of model evaluation and optimization.

Responsibilities

• Design and deploy AI-powered applications and automation.
• Build and deploy ML models in Python.
• Develop Generative AI apps using LLMs.
• Implement RAG pipelines for enterprise apps.
• Work with OpenAI, Azure OpenAI, and Hugging Face models.
• Develop prompt engineering strategies.
• Build AI agents using LangChain, LangGraph, or LlamaIndex.
• Process structured and unstructured data.
• Develop NLP solutions for text classification and sentiment analysis.
• Integrate AI models with REST APIs.
• Implement vector databases such as Pinecone, FAISS, and ChromaDB.
• Optimize model performance and latency.
• Deploy AI solutions using Docker, Kubernetes, and cloud platforms.
• Monitor models and drive continuous improvement.
• Collaborate with data scientists, software engineers, and business stakeholders.

Skills

Python

Machine Learning

Deep Learning

NLP

Large Language Models

LangChain

Tools

TensorFlow

PyTorch

Scikit-learn

LangGraph

LlamaIndex

REST APIs

Docker

Kubernetes

CI/CD

Job description

Job Overview

• Job ID: J55196
• Job Title: AI Engineer
• Location: Indianapolis, IN
• Duration: 10 Months + Extension
• Domain Exposure: IT/Software
• Client: To Be Discussed Later
• Employment Type: W-2, 1099, C2C
• Work Authorization: US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Additional Details

• Bill Rate: $83/hour (C2C)
• Job Type: W-2, 1099, C2C
• Client: To Be Discussed Later
• Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Summary

We are looking for an experienced AI Engineer to design, develop, and deploy intelligent applications using Artificial Intelligence, Machine Learning, and Generative AI technologies. The candidate will be responsible for building AI-powered solutions, developing predictive models, integrating large language models, and implementing scalable AI systems.

Key Responsibilities

• Design, develop, and implement AI-powered applications and intelligent automation solutions.
• Build and deploy machine learning models using Python and relevant AI frameworks.
• Develop Generative AI applications using Large Language Models (LLMs).
• Implement Retrieval-Augmented Generation (RAG) pipelines for enterprise applications.
• Work with OpenAI, Azure OpenAI, and Hugging Face models.
• Develop prompt engineering strategies to improve model accuracy and performance.
• Build AI agents using LangChain, LangGraph, and agent-based frameworks.
• Process and analyze structured and unstructured datasets.
• Develop NLP solutions for text classification, sentiment analysis, and information extraction.
• Integrate AI models with REST APIs and enterprise applications.
• Implement vector databases such as Pinecone, FAISS, and ChromaDB.
• Optimize model performance, scalability, and inference latency.
• Deploy AI solutions using Docker, Kubernetes, and cloud platforms.
• Monitor AI models and implement continuous improvement strategies.
• Collaborate with data scientists, software engineers, and business stakeholders.

Required Technical Skills

• Strong programming experience in Python.
• Hands-on experience with Machine Learning and Deep Learning.
• Knowledge of TensorFlow, PyTorch, and Scikit-learn.
• Experience with Generative AI and Large Language Models.
• Understanding of NLP and neural network architectures.
• Experience with LangChain, LangGraph, or LlamaIndex.
• Knowledge of RAG architecture and vector databases.
• Experience with REST APIs and microservices.
• Familiarity with AWS, Azure, or Google Cloud.
• Knowledge of Git, Docker, Kubernetes, and CI/CD pipelines.
• Understanding of model evaluation and optimization techniques.

Equal Opportunity Employer

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.