Indianapolis, IN · On-site
$99K - $137K/yr
Build and implement RAG (Retrieval-Augmented Generation) systems to dramatically improve AI accuracy, including knowledge retrieval pipelines and semantic search optimization for large-scale datasets
Indianapolis, IN · On-site
$99K - $137K/yr
Build and implement RAG (Retrieval-Augmented Generation) systems to dramatically improve AI accuracy, including knowledge retrieval pipelines and semantic search optimization for large-scale datasets
Bloomington, IN · On-site
$105K - $127K/yr
Familiarity with vector databases (e.g., Marqo, Milvus, Pinecone) and embedding models for semantic search and retrieval-augmented generation (RAG). * Proficiency in building and maintaining RESTful ...
Bloomington, IN · On-site
$105K - $127K/yr
Familiarity with vector databases (e.g., Marqo, Milvus, Pinecone) and embedding models for semantic search and retrieval-augmented generation (RAG). * Proficiency in building and maintaining RESTful ...
This includes handling data ingestion, preprocessing, search and retrieval, Retrieval Augmented Generation (RAG), and ensuring that complete solutions meet all technical and business requirements, as ...
This includes handling data ingestion, preprocessing, search and retrieval, Retrieval Augmented Generation (RAG), and ensuring that complete solutions meet all technical and business requirements, as ...
This includes handling data ingestion, preprocessing, search and retrieval, Retrieval Augmented Generation (RAG), and ensuring that complete solutions meet all technical and business requirements, as ...
This includes handling data ingestion, preprocessing, search and retrieval, Retrieval Augmented Generation (RAG), and ensuring that complete solutions meet all technical and business requirements, as ...
Indianapolis, IN · On-site
$99K - $137K/yr
Build and implement RAG (Retrieval-Augmented Generation) systems to dramatically improve AI accuracy, including knowledge retrieval pipelines and semantic search optimization for large-scale datasets
Indianapolis, IN · On-site
$99K - $137K/yr
Build and implement RAG (Retrieval-Augmented Generation) systems to dramatically improve AI accuracy, including knowledge retrieval pipelines and semantic search optimization for large-scale datasets
Indianapolis, IN · On-site
$89K - $118K/yr
... retrieval-augmented generation (RAG) pipelines integrating LLMs with enterprise document repositories and vector search backends. • Standardize prompt engineering frameworks, contextual grounding ...
Indianapolis, IN · On-site
$89K - $118K/yr
... retrieval-augmented generation (RAG) pipelines integrating LLMs with enterprise document repositories and vector search backends. • Standardize prompt engineering frameworks, contextual grounding ...
Indianapolis, IN · On-site +1
$80/hr
LLM Specialization: hands-on experience with Prompt Engineering, RLHF (Reinforcement Learning from Human Feedback), or RAG (Retrieval-Augmented Generation) workflows. * Technical Rigor: the ability ...
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Indianapolis, IN · On-site +1
$80/hr
LLM Specialization: hands-on experience with Prompt Engineering, RLHF (Reinforcement Learning from Human Feedback), or RAG (Retrieval-Augmented Generation) workflows. * Technical Rigor: the ability ...
Production experience with Claude, ChatGPT, and Microsoft Copilot, including prompt engineering, agentic workflows, retrieval-augmented generation, and at least one orchestration or agent framework.
Production experience with Claude, ChatGPT, and Microsoft Copilot, including prompt engineering, agentic workflows, retrieval-augmented generation, and at least one orchestration or agent framework.
Experience with agentic architectures (tool calling, retrieval-augmented generation, workflow orchestration, multi-agent patterns). * Familiarity with LLM evaluation (quality metrics, red-teaming ...
Experience with agentic architectures (tool calling, retrieval-augmented generation, workflow orchestration, multi-agent patterns). * Familiarity with LLM evaluation (quality metrics, red-teaming ...
Production experience with Claude, ChatGPT, and Microsoft Copilot, including prompt engineering, agentic workflows, retrieval-augmented generation, and at least one orchestration or agent framework.
Quick apply
Production experience with Claude, ChatGPT, and Microsoft Copilot, including prompt engineering, agentic workflows, retrieval-augmented generation, and at least one orchestration or agent framework.
Carmel, IN · On-site
... retrieval-augmented generation, agentic workflows, workflow automation, rules-based components, or hybrid approaches based on business need, data readiness, feasibility, risk, scalability, and ...
Carmel, IN · On-site
... retrieval-augmented generation, agentic workflows, workflow automation, rules-based components, or hybrid approaches based on business need, data readiness, feasibility, risk, scalability, and ...
Indianapolis, IN · On-site
$97K - $129K/yr
Advanced Prompting, RAG & Model Evaluation · Build and operationalize retrieval-augmented generation (RAG) pipelines integrating LLMs with enterprise document repositories and vector search backends ...
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Indianapolis, IN · On-site
$97K - $129K/yr
Advanced Prompting, RAG & Model Evaluation · Build and operationalize retrieval-augmented generation (RAG) pipelines integrating LLMs with enterprise document repositories and vector search backends ...
Design Retrieval-Augmented Generation (RAG) architectures, vector databases, prompt engineering frameworks, and enterprise knowledge management solutions * Build secure enterprise AI integrations ...
Design Retrieval-Augmented Generation (RAG) architectures, vector databases, prompt engineering frameworks, and enterprise knowledge management solutions * Build secure enterprise AI integrations ...
Develop multi-agent or RAG-style (retrieval-augmented generation) workflows for schema matching and terminology mapping * Collaborate with national and multi-institutional initiatives in data ...
Develop multi-agent or RAG-style (retrieval-augmented generation) workflows for schema matching and terminology mapping * Collaborate with national and multi-institutional initiatives in data ...
Expert-level understanding of the current AI landscape, specifically regarding agentic reasoning, RAG (Retrieval-Augmented Generation), and the operationalization of LLMs. * Executive Influence:
Expert-level understanding of the current AI landscape, specifically regarding agentic reasoning, RAG (Retrieval-Augmented Generation), and the operationalization of LLMs. * Executive Influence:
$133K - $181K/yr
... retrieval augmented generation ("RAG") models, large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements ...
$133K - $181K/yr
... retrieval augmented generation ("RAG") models, large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements ...
Indianapolis, IN · On-site
$133K - $181K/yr
... retrieval augmented generation ("RAG") models, large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements ...
Indianapolis, IN · On-site
$133K - $181K/yr
... retrieval augmented generation ("RAG") models, large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements ...
Bloomington, IN · On-site
$45K - $61K/yr
Develop multi-agent or RAG-style (retrieval-augmented generation) workflows for schema matching and terminology mapping * Collaborate with national and multi-institutional initiatives in data ...
Bloomington, IN · On-site
$45K - $61K/yr
Develop multi-agent or RAG-style (retrieval-augmented generation) workflows for schema matching and terminology mapping * Collaborate with national and multi-institutional initiatives in data ...
Indianapolis, IN · Hybrid
$133K - $181K/yr
... retrieval augmented generation ("RAG") models, large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements ...
Indianapolis, IN · Hybrid
$133K - $181K/yr
... retrieval augmented generation ("RAG") models, large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements ...
Indianapolis, IN · Hybrid
$133K - $181K/yr
... retrieval augmented generation ("RAG") models, large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements ...
Indianapolis, IN · Hybrid
$133K - $181K/yr
... retrieval augmented generation ("RAG") models, large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements ...
A Retrieval Augmented Generation engineer typically spends their day designing and implementing systems that combine information retrieval with advanced generative models, such as large language models. This includes fine-tuning models, integrating external data sources, developing vector search pipelines, and evaluating output quality. Collaboration with data scientists, machine learning engineers, and product teams is common to ensure the solutions meet user requirements and scale effectively. Additionally, RAG engineers often troubleshoot issues, monitor model performance in production, and stay informed about the latest advancements in AI and information retrieval.
A Retrieval Augmented Generation (RAG) job typically involves developing and optimizing AI systems that enhance text generation by incorporating external knowledge retrieved from relevant sources. Professionals in this field work on integrating retrieval mechanisms with large language models to improve the relevance, accuracy, and factual grounding of generated content. Common responsibilities include designing retrieval systems, fine-tuning language models, optimizing performance, and ensuring the seamless integration of factual data into AI-generated text. This role is highly interdisciplinary, involving expertise in natural language processing (NLP), machine learning, and information retrieval.
To thrive in a Retrieval Augmented Generation (RAG) engineering role, you need a solid background in machine learning, natural language processing (NLP), and experience with scalable information retrieval systems, typically supported by a relevant degree in computer science or a related field. Familiarity with tools such as Python, PyTorch or TensorFlow, vector databases, and search platforms like Elasticsearch is essential, along with practical experience deploying and tuning RAG pipelines. Strong problem-solving skills, a collaborative mindset, and effective communication abilities set outstanding professionals apart in this field. These competencies are crucial for designing, implementing, and optimizing hybrid retrieval-generation AI systems that address complex, real-world information needs.
Description
Zylo is the enterprise leader in SaaS Management, enabling companies to discover, manage, and optimize their SaaS applications. Zylo helps companies reduce costs and minimize risk by centralizing SaaS inventory, license, and renewal management. Trusted by industry leaders, Zylo's AI-powered platform provides unmatched visibility into SaaS usage and spend. Powered by the industry's most intelligent discovery engine, Zylo continuously uncovers hidden SaaS applications, giving companies greater control over their SaaS portfolio. With more than 30 million SaaS licenses and $75 billion in SaaS spend under management, Zylo delivers the deepest insights, backed by more data than any other provider.
Overview
We are seeking an experienced Senior AI Engineer to lead the evolution of our enterprise SaaS platform's agentic AI capabilities. You'll drive strategic AI initiatives that solve complex client problems while working with large-scale datasets for global enterprise customers. This role combines deep technical expertise in AI agents, RAG systems, and enterprise integration with strategic thinking about how AI can transform our platform and deliver exceptional business value..
What you will do
Requirements
What you need
Nice to have
At Zylo, we're committed to Growing Stronger Together by fostering a diverse and inclusive workplace. We believe that a variety of perspectives not only fuels innovation, but also allows us to better serve our diverse customer base. If you meet the essential qualifications, we encourage you to apply and join us on this journey. Still growing in your career? Connect with our talent community-we're always looking for future Zylos who share our passion for continuous learning.
Sourced by ZipRecruiter
Software development
11 - 50 Employees
Indianapolis, IN, US
2015
