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Senior Prompt Engineering Jobs in Missouri (NOW HIRING)

GLOBAL IT CON LLC

Senior AI/ML Engineer

Saint Louis, MO · On-site

$99K - $136K/yr

... 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 ...

MasterCard

Senior AI Engineer

O Fallon, MO · Hybrid

$97K - $134K/yr

Title and Summary Senior AI Engineer Mastercard's Business & Market Insights (B&MI) group empowers ... Lead LLM fine-tuning, prompt engineering, and model alignment strategies - including RLHF, PEFT ...

Mastercard, Inc.

Senior AI Engineer

O Fallon, MO · On-site

$97K - $134K/yr

... prompt engineering, and model alignment strategies - including RLHF, PEFT, LoRA, and instruction tuning - to adapt foundation models for specialized enterprise use cases. • Establish robust LLMOps ...

Zendesk, Inc.

Senior Sales Engineer

California, MO · On-site

$188 - $282/hr

## Senior Sales EngineerPostulerlocations: Remote, Georgia, United States of America: Remote ... A strong foundational interest in AI technologies, including prompt engineering, LLMs, and ...

Jobgether

As a Senior AI Scientist, you'll play a key role in continuously improving the quality, accuracy ... The role combines hands-on work across prompt engineering, LLM evaluation, retrieval-augmented ...

Jobtailor

Senior AI/ML Engineer

California, MO · On-site

$140 - $190/hr

Implement end to end AI application pipelines including data ingestion, prompt engineering, evaluation, deployment, and monitoring * Collaborate closely with engineering, data, and business teams to ...

Ports North

Senior Software Engineer -Java

O Fallon, MO · On-site

$82.66 - $110.21/hr

Experience with LLM integration, prompt engineering, and agentic patterns. Experience * Bachelor ... Title Sr Java Developer Location O'Fallon, MO Client Industry Finance Compensation $60-80/hr #J ...

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Senior Prompt Engineering information

What is a senior prompt engineer?

A Senior Prompt Engineer is a specialist who designs, develops, and optimizes prompts to interact effectively with artificial intelligence language models, such as ChatGPT or other generative AI systems. They leverage deep understanding of AI behavior and natural language processing to create instructions that yield accurate, relevant, and safe outputs. Senior Prompt Engineers may also lead teams, establish best practices, and collaborate with product, engineering, and research teams to improve AI performance and user experience.

What are the key skills and qualifications needed to thrive as a senior prompt engineer, and why are they important?

To excel as a Senior Prompt Engineer, you need strong expertise in natural language processing (NLP), machine learning principles, and experience with large language models, typically supported by a degree in computer science or a related field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and prompt design tools is essential, as are any relevant certifications in AI or data science. Exceptional analytical thinking, creativity, and communication skills help in crafting effective prompts and collaborating with cross-functional teams. These competencies ensure the development of high-quality AI solutions that meet user requirements and drive innovation.

What are some common challenges faced by senior prompt engineers when collaborating with cross-functional teams?

Senior Prompt Engineers often work closely with data scientists, product managers, and software engineers to develop effective AI prompts. A common challenge is ensuring clear communication about technical constraints and user requirements, as team members may have varying levels of familiarity with prompt engineering concepts. Balancing creativity with practical limitations—such as model capabilities and ethical guidelines—requires active collaboration and adaptability. Additionally, aligning prompt design with evolving project goals can be complex, so strong project management and interpersonal skills are essential for success in this role.

What is the difference between Senior Prompt Engineering vs Prompt Engineer?

AspectSenior Prompt EngineeringPrompt Engineer
CredentialsTypically requires experience in AI, NLP, and related certificationsEntry to mid-level skills in AI and prompt design
Work EnvironmentAdvanced projects, leadership roles, strategic planningHands-on prompt creation, testing, and optimization
Industry UsageUsed in organizations developing AI models and NLP applicationsCommon in AI startups, research labs, and tech companies

Senior Prompt Engineering involves leading complex AI projects, designing advanced prompts, and mentoring teams, while Prompt Engineers focus on creating and refining prompts for specific applications. The senior role requires more experience and strategic oversight, whereas the prompt engineer role is more hands-on and task-focused.

Are senior prompt engineers still in demand?

Senior prompt engineers are increasingly in demand as organizations seek expertise in designing effective prompts for AI models like GPT. Their skills in natural language processing, machine learning, and AI tool integration are valuable across industries, and demand is expected to grow with the expansion of AI applications.

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 Senior Prompt Engineering jobs in Missouri?

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

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

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

What cities in Missouri are hiring for Senior Prompt Engineering jobs?

Cities in Missouri with the most Senior Prompt Engineering job openings:

Senior Prompt Engineering jobs near you

Senior AI/ML Engineer

GLOBAL IT CON LLC

Saint Louis, MO • On-site

$99K - $136K/yr

Other

Posted 8 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

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