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Retrieval Augmented Generation Jobs in Missouri (NOW HIRING)

AI Engineer II

Saint Louis, MO · On-site

$91K - $125K/yr

Prompt engineering, evaluation methodologies, and retrieval-augmented generation (RAG) patterns. * Experience with Palantir Foundry is strongly preferred, including familiarity with: * Ontology ...

  • PTO

The role combines hands-on work across prompt engineering, LLM evaluation, retrieval-augmented generation, and conversational AI. You'll design experiments, define quality metrics, and use data ...

AI Engineer II

Saint Louis, MO

$91K - $125K/yr

Prompt engineering, evaluation methodologies, and retrieval-augmented generation (RAG) patterns. * Experience with Palantir Foundry is strongly preferred, including familiarity with: * Ontology ...

Principal, Data Scientist

Anderson, MO · On-site

$110K - $220K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Hands-on experience developing GenAI solutions using Large Language Models (LLMs), prompt engineering, retrieval-augmented generation (RAG), Skills, vector databases, and agentic workflows.

Principal, Data Scientist

Cassville, MO · On-site

$110K - $220K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Hands-on experience developing GenAI solutions using Large Language Models (LLMs), prompt engineering, retrieval-augmented generation (RAG), Skills, vector databases, and agentic workflows.

AI Engineer II

Saint Louis, MO · On-site

$92K - $126K/yr

Prompt engineering, evaluation methodologies, and retrieval-augmented generation (RAG) patterns. * Experience with Palantir Foundry is strongly preferred, including familiarity with: * Ontology ...

Principal, Data Scientist

Noel, MO · On-site

$110K - $220K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Hands-on experience developing GenAI solutions using Large Language Models (LLMs), prompt engineering, retrieval-augmented generation (RAG), Skills, vector databases, and agentic workflows.

Staff, Data Engineer - Customer Insights & GenAI

Noel, MO · On-site

$110K - $220K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Build and operationalize intelligent agents leveraging LLMs, Retrieval-Augmented Generation (RAG), semantic search, and enterprise knowledge systems to enhance customer and business intelligence ...

Software Engineer, Public Sector

Saint Louis, MO · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Understanding of prompt engineering, retrieval-augmented generation (RAG), and agent orchestration is beneficial. * Problem Solving: Strong analytical and problem-solving skills to understand complex ...

(USA) Principal, Data Scientist

Noel, MO · On-site

$110K - $220K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Hands-on expertise with agentic frameworks, tool-calling, retrieval-augmented generation, and prompt and evaluation design. * Proven ability to design evaluation, guardrails, and observability for ...

Showing results 21-40

Retrieval Augmented Generation information

What is a retrieval augmented generation?

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.

What does a retrieval augmented generation engineer do?

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.

What skills and qualifications are needed for retrieval augmented generation?

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.

What are the most commonly searched types of Retrieval Augmented Generation jobs in Missouri?

The most popular types of Retrieval Augmented Generation jobs in Missouri are:

What are popular job titles related to Retrieval Augmented Generation jobs in Missouri?

For Retrieval Augmented Generation jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Retrieval Augmented Generation jobs in Missouri look for?

The top searched job categories for Retrieval Augmented Generation jobs in Missouri are:

What cities in Missouri are hiring for Retrieval Augmented Generation jobs?

Cities in Missouri with the most Retrieval Augmented Generation job openings:

Infographic showing various Retrieval Augmented Generation job openings in Missouri as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Senior Sales Engineer - Data & AI Security

Veeam Software

Saint Louis, MO • Remote

Full-time

Re-posted 25 days ago


Veeam Software rating

8.9

Company rating: 8.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

39th of 245 rated software companies


Job description

About the Role:  

Veeam, following its acquisition of Securiti AI - the leader in AI-powered data security posture management (DSPM) - is seeking a Senior Sales Engineer to drive technical leadership in our sales team, focusing on the Securiti AI portfolio. 


You will guide customers from needs assessment to solution design, delivering hands-on demos and proof-of-concepts to showcase value. Success in this role requires strong technical skills and the ability to build trust with clients.

You're already a technical leader trusted at executive levels when the conversation shifts from "we need to secure our data" to "we need to enable safe, compliant AI at scale." 

You're already an expert on data/AI security and a proven enterprise sales engineer. Now it's time to join the home of Data and AI Trust. 

You've already seen our new release of Agent Commander, but you haven't seen what's coming next. After the acquisition of Securiti AI, Veeam is even further into the forefront of data resilience, protection, trust, and the acceleration of safe AI at scale.

Are you ready for an exciting new challenge at enterprise scale?

What You'll Do: 

  • Act as the primary technical contact for Securiti AI solutions during the sales cycleServe as the primary technical data protection expert for Securiti AI and Veeam solutions throughout the pre-sales cycle.
  • Lead discovery to translate risk, architecture, and business goals into a practical solution approach.
  • Design and deliver tailored demos and hands-on proof-of-concepts that prove value in the customer's environment.
  • Drive technical conversations on AI Trust, Data Discovery, DSPM, Data Access & Governance, and Compliance (including GDPR, HIPAA, PCI-DSS).
  • Provide solution guidance across AWS, Azure, and GCP, including cloud security best practices and identity/access concepts.
  • Partner cross-functionally with sales, product, engineering, and customer success to ensure clean technical handoff and customer confidence post-sale.
  • Hone your professional development through hands-on experimentation, team collaboration, robust onboarding, and more.
  • Work ~80% remote, with client-facing travel usually 1-2 short trips per month.

What You'll Bring (required): 

  • Extensive enterprise sales experience in data protection, cloud security, networks, and AI.
  • Proven ability to quickly develop trust and credibility with both technical and business stakeholders.
  • Strong technical leadership foundation in enterprise data protection, cloud security, networks, and AI.
  • Hands-on experience with AWS, Azure, or GCP (multi-cloud exposure strongly valued).
  • Deep working knowledge of data privacy/security and compliance programs, especially GDPR, HIPAA, and PCI-DSS, plus data governance and access controls.
  • Ability to build and run compelling demos and POCs while earning trust as a customer-facing technical lead.
  • Practical technical fluency with areas such as Linux, Kubernetes/containerized environments, and modern cloud/data architectures.
  • Strong expertise with DSPM, DLP, data discovery approaches (e.g., patterns/keywords/dictionaries/regex/exact matching) and with common cloud/data systems (e.g., object storage and enterprise databases/warehouses).

Preferred (strong differentiators): 

  • Experience applying or discussing GenAI security in real enterprise contexts, including RAG (Retrieval-Augmented Generation) concepts and vector databases / indexing approaches.
  • Exposure to CASB / SASE / DLP technologies and how customers operationalize them.
  • Relevant certifications (CISSP, CISM, AWS/Azure/GCP).

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