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Senior AI Engineer

kashcomp LLC
St. Louis, MO, United States
19 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Compensation
$124,800.0 - $141,440.0
Working hours
Regular working hours
Job source
www.indeed.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Software Applications Microsoft Azure Cloud Computing Databases Python (Programming Language) Enterprise Software Applications Large Language Models Prompt Engineering Model Validation
+3 more
Generative AI AI Platforms Data Management

Job description

  • Lead the design and development of Generative AI, LLM, and AI-powered applications.
  • Build RAG pipelines, AI agents, copilots, and intelligent automation solutions.
  • Develop and integrate AI solutions using Python, APIs, and cloud platforms.
  • Work with LLMs, prompt engineering, embeddings, vector databases, and model evaluation.
  • Design AI integrations with enterprise applications, databases, and data platforms.
  • Implement AI solutions with appropriate security, scalability, monitoring, and governance.
  • Lead and mentor AI engineers and collaborate with architects, data engineers, and business teams.
  • Evaluate emerging AI technologies and recommend solutions based on business requirements.

Requirements

  • 7+ years of software/AI engineering experience.
  • Strong Python development experience.
  • Hands-on experience with Generative AI, LLMs, and RAG.
  • Experience with LangChain, LangGraph, LlamaIndex, or similar AI frameworks.
  • Experience with vector databases and embeddings.
  • Knowledge of AWS/Azure/GCP AI services.
  • Experience building and deploying production-grade AI solutions.
  • Strong technical leadership and communication skills.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

4:01 min

Managing application isolation via pluggable database models

Wei Hu Wei Hu · World Congress 2022

2:36 min

Choosing between managed AI platforms and custom governance

Péter Farkas Péter Farkas · Europe 2026 Virtual

2:37 min

Tracing the evolution from early AI to generative AI

Mike Mike · World Congress 2025

2:08 min

Essential engineering roles in the generative AI space

Mary Grygleski Mary Grygleski · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

3:04 min

Database evolution and the funding behind vector databases

Erik Bamberg · LIVE

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World Congress 2024 • about 2 years ago

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World Congress 2022 • over 4 years ago

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World Congress 2026 Europe • 3 months ago

This App Reached 10,000 Users in One Week. Here's How.

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World Congress 2023 • almost 3 years ago

Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative

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World Congress 2024 • about 2 years ago

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World Congress 2024 • about 2 years ago

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases

Wei Hu

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