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Home Based Prompt Engineering Jobs in Missouri (NOW HIRING)

Senior AI/ML Engineer

Saint Louis, MO · On-site

$99K - $136K/yr

... Implement prompt engineering and dynamic prompt management (DB-backed with in-memory caching ... based access control - Langfuse or similar LLM observability (tracing, token usage, latency ...

Senior AI/ML Engineer

California, MO · On-site

$140 - $190/hr

Implement end to end AI application pipelines including data ingestion, prompt engineering ... Optimize performance, reliability, and cost efficiency of cloud based AI and ML services

Senior AI Engineer

O Fallon, MO · Hybrid

$97K - $134K/yr

... based architectures (BERT, CLIP, LLaVA, T5, Whisper, GPT-4o, Gemini) for rich, cross-modal ... Lead LLM fine-tuning, prompt engineering, and model alignment strategies - including RLHF, PEFT ...

Senior AI Engineer

O Fallon, MO · On-site

$97K - $134K/yr

... based architectures (BERT, CLIP, LLaVA, T5, Whisper, GPT-4o, Gemini) for rich, cross-modal ... tuning, prompt engineering, and model alignment strategies - including RLHF, PEFT, LoRA, and ...

Design, implement, test, and optimize prompt engineering strategies and conversational behaviors. * Optimize RAG pipelines, retrieval mechanisms, vector-based search, and overall retrieval quality.

Exavalu Solutions India Pvt Ltd | Full time Exavalu is a US based consulting firm specialized in ... AI Orchestration * Prompt Engineering Frameworks & Technologies * LangGraph * AI Workflow ...

Senior Sales Engineer

California, MO · On-site

$188 - $282/hr

A strong foundational interest in AI technologies, including prompt engineering, LLMs, and ... If you are based in the United States and would like more information about your EEO rights under ...

ChatGPT Tutor

Kansas City, MO · Remote

$18 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... Deep knowledge of ChatGPT capabilities including prompt engineering, conversational AI interaction ...

ChatGPT Tutor

Saint Louis, MO · Remote

$18 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... Deep knowledge of ChatGPT capabilities including prompt engineering, conversational AI interaction ...

ChatGPT Tutor

Columbia, MO · Remote

$18 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... Deep knowledge of ChatGPT capabilities including prompt engineering, conversational AI interaction ...

Principal AI Engineer

Kansas City, MO · On-site

$180 - $240/hr

This role will require Monday - Thursday onsite in any of our locations. WFH Friday. Job ... Deep knowledge of LLM architecture, prompt engineering, and Vector database workflows. * Hands‑on ...

AI Solutions Architect

California, MO · On-site

$180 - $270/hr

... prompt engineering, model fine-tuning, and MLOps. * Databricks: Hands-on experience with Databricks Lakehouse (Delta Lake, Unity Catalog, MLflow, Databricks Workflows), Spark-based data processing.

Experience with prompt engineering or LLM evaluation tools. Familiarity with TypeScript backend ... Applicants for employment will receive consideration without unlawful discrimination based on race ...

Strong experience in machine learning, NLP, and LLM-based modeling * Strong experience designing ... Experience with generative AI techniques (e.g., prompt engineering, RAG) * Experience designing and ...

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Showing results 1-20

Home Based Prompt Engineering information

What is the difference between Home Based Prompt Engineering vs Remote AI Content Specialist?

AspectHome Based Prompt EngineeringRemote AI Content Specialist
Required CredentialsBasic understanding of AI prompts, no formal certification neededExperience in content creation, possibly some AI tool familiarity
Work EnvironmentHome-based, flexible hoursHome-based, project or task-based
Industry UsageAI development, chatbot training, prompt optimizationContent marketing, social media, digital content creation
Common Search IntentJobs involving AI prompt design from homeRemote content creation roles involving AI tools

Home Based Prompt Engineering focuses on designing and refining prompts for AI models, often requiring technical understanding of AI systems. In contrast, Remote AI Content Specialists create digital content using AI tools, emphasizing content skills. Both roles are home-based and industry-related but differ in technical depth and primary tasks.

Are home based prompt engineers still in demand?

Home-based prompt engineering is increasingly in demand as AI language models are integrated into various applications. Professionals with skills in prompt design, natural language processing, and familiarity with AI tools are sought after across industries, especially in remote work environments. The role often requires strong communication skills and knowledge of AI platforms like GPT or similar models.

What are the most commonly searched types of Prompt Engineering jobs in Missouri?

The most popular types of Prompt Engineering jobs in Missouri are:

What are popular job titles related to Home Based Prompt Engineering jobs in Missouri?

For Home Based Prompt Engineering jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Home Based Prompt Engineering jobs in Missouri look for?

The top searched job categories for Home Based Prompt Engineering jobs in Missouri are:

What cities in Missouri are hiring for Home Based Prompt Engineering jobs?

Cities in Missouri with the most Home Based Prompt Engineering job openings:

Senior AI/ML Engineer

GLOBAL IT CON LLC

Saint Louis, MO • On-site

$99K - $136K/yr

Other

Posted 10 days ago


Job description

Role:-Senior AI/ML Engineer

Location: St. Louis, MO (Locals only)

Duration:- Long term

We are looking for a skilled AI/ML Developer to join our agentic platform team. You will design, develop, and deploy LLM-powered agents and pipelines that directly serve field technicians in production. You will work closely with the platform architect and contribute to the core multi-agent orchestration system.

Key Responsibilities

- Design and develop LLM-powered agents using LangGraph and LangChain frameworks

- Build and enhance multi-agent orchestration pipelines with conditional routing, state management, and error recovery

- Develop RAG pipelines with hybrid search (semantic + keyword), re-ranking, and Reciprocal Rank Fusion

- Implement tool-calling agents with parallel API execution, sequential enrichment chains, and summarization

- Build real-time streaming capabilities (WebSocket / SSE) for conversational AI

- Integrate with Azure OpenAI APIs with circuit breaker patterns and fallback chains

- Implement prompt engineering and dynamic prompt management (DB-backed with in-memory caching)

- Design and implement multi-modal AI features (image analysis with vision models)

- Write production-quality Python code with error handling, logging, observability, and unit tests

- Participate in code reviews, architecture discussions, and sprint delivery

Required Skills & Experience

Must-Have

- 10+ years of software development with strong Python expertise in production environments

- 2+ years hands-on LLM development (LangChain, LangGraph, or equivalent frameworks)

- RAG pipeline experience - embeddings, vector search, re-ranking, answer generation

- LLM APIs - OpenAI Chat Completions, Responses API, streaming, tool calling

- Async Python - asyncio, httpx, FastAPI

- Prompt engineering - system prompts, few-shot, structured JSON output

- Circuit breaker patterns, retry logic, resilient service design

- PostgreSQL and async ORMs (SQLAlchemy async / Alembic)

- Git, CI/CD, Docker, Kubernetes basics

- Strong system design skills - microservices, distributed systems, API design

Nice-to-Have

- LangGraph StateGraph (conditional edges, node pipelines, compiled graphs)

- Multi-agent systems - orchestration, routing, RBAC-based access control

- Langfuse or similar LLM observability (tracing, token usage, latency)

- WebSocket and SSE streaming protocols

- Multi-modal AI (vision models, image analysis)

- Vector databases (OpenSearch, Pinecone, pgvector)

- AWS services (Aurora PostgreSQL, SSM, IAM, EKS)

- Telecommunications or field service domain experience