1

Llm Prompt Engineer Jobs in Alabama (NOW HIRING)

ML Search Engineer

Birmingham, AL · On-site

$130K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Prompt engineering and LLM orchestration. * LangChain, LangGraph, Google ADK, or similar frameworks. * Machine learning model deployment and inference pipelines. Vector Search & Semantic Retrieval

Software Engineer Senior- AI engineer

Birmingham, AL · On-site

$86K - $172K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

LLM Optimization & Prompting: Deep understanding of sampling strategies (temperature, top-k/top-p), prompt engineering, and techniques to improve accuracy, reduce hallucinations, and control outputs.

AI / ML Engineer

Huntsville, AL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Build LLM-enabled applications and retrieval-augmented generation (RAG) pipelines, including vector embedding generation, vector database integration, and prompt/context engineering. * Develop AI ...

Search Engineer

Birmingham, AL · On-site

  • Medical

  • Retirement

  • PTO

RAG pipelines, LLM integration, prompt engineering, or fine-tuning workflows. * Experience with AI orchestration frameworks such as LangChain, LangGraph, or Google ADK. WHO YOU ARE Fearless Builder A ...

ML Search Engineer

Birmingham, AL · On-site

  • Medical

  • Retirement

  • PTO

RAG pipelines, LLM integration, prompt engineering, or fine-tuning workflows. * Experience with AI orchestration frameworks such as LangChain, LangGraph, or Google ADK. * Infrastructure-as-code ...

AI Engineer

Birmingham, AL · On-site

$50K - $112K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... prompt engineering, LLM evaluation, and fine-tuning, to develop production-ready applications powered by foundation models - Developing automated evaluation frameworks, including LLM-as-judge ...

AI / ML Engineer

Huntsville, AL

$85K - $199K/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Build LLM-enabled applications and retrieval-augmented generation (RAG) pipelines, including vector embedding generation, vector database integration, and prompt/context engineering. * Develop AI ...

New

... including LLM-based applications, RAG, prompt engineering, agentic systems, and AI-assisted workflows. • Experience with software development fundamentals, APIs, data handling, and system ...

AI Engineer

Huntsville, AL

$134K - $241K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Familiarity with modern AI application patterns, including LLM-based applications, RAG, prompt engineering, agentic systems, and AI-assisted workflows. * Experience with software development ...

AI Engineer

Huntsville, AL · On-site

$134K - $241K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Familiarity with modern AI application patterns, including LLM-based applications, RAG, prompt engineering, agentic systems, and AI-assisted workflows. * Experience with software development ...

AI Engineer

Huntsville, AL · On-site

$134K - $241K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Familiarity with modern AI application patterns, including LLM-based applications, RAG, prompt engineering, agentic systems, and AI-assisted workflows. * Experience with software development ...

AI / ML Engineer

Huntsville, AL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Build LLM-enabled applications and retrieval-augmented generation (RAG) pipelines, including vector embedding generation, vector database integration, and prompt/context engineering. * Develop AI ...

AI / ML Engineer

Huntsville, AL

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Build LLM-enabled applications and retrieval-augmented generation (RAG) pipelines, including vector embedding generation, vector database integration, and prompt/context engineering. * Develop AI ...

next page

Showing results 1-20

Llm Prompt Engineer information

What is an LLM Prompt Engineer?

An LLM Prompt Engineer is a professional who specializes in designing, testing, and optimizing prompts for large language models (LLMs) such as GPT-4. Their role involves crafting effective instructions and queries to guide the model's output for specific applications, ensuring accuracy, relevance, and reliability. They may also analyze model behavior, implement prompt-based workflows, and collaborate with developers to integrate LLMs into products or services. The goal is to maximize the performance and efficiency of language models in various real-world contexts.

What are the key skills and qualifications needed to thrive as an LLM Prompt Engineer?

To thrive as an LLM Prompt Engineer, you need a deep understanding of natural language processing, prompt engineering strategies, and proficiency in programming languages such as Python, often supported by a degree in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), large language model APIs, and version control systems is typically required. Strong analytical thinking, creativity, and effective communication are crucial soft skills for crafting precise prompts and collaborating with cross-functional teams. These skills ensure the development of effective, ethical, and high-performing AI-powered solutions that meet diverse user needs.

What are some common challenges faced by LLM Prompt Engineers when designing effective prompts for large language models?

LLM Prompt Engineers often encounter challenges such as ensuring prompts are both clear and unambiguous to elicit accurate model responses, as well as avoiding bias or unintended outputs. Balancing creativity and specificity in prompt design can be tricky, especially when tailoring prompts for diverse user intents or specialized domains. Additionally, prompt engineers must frequently iterate and test their prompts, collaborating closely with data scientists and product teams to continually refine them based on observed model behavior and user feedback.

What is the difference between Llm Prompt Engineer vs Data Scientist?

AspectLlm Prompt EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related fields; familiarity with NLP and AI toolsBachelor's or higher in CS, Statistics, or related fields; strong programming and statistical skills
Work EnvironmentAI labs, tech companies, startups focusing on NLP and AI modelsData analysis, modeling, and visualization in various industries like finance, healthcare, tech
Employer & Industry UsagePrimarily in AI development, NLP projects, and machine learning teamsAcross industries for data analysis, predictive modeling, and decision support

While both roles involve working with data and AI, Llm Prompt Engineers focus on designing prompts for language models, whereas Data Scientists analyze data to derive insights. The roles share similar educational backgrounds and work environments but differ in their core tasks and industry applications.

Are AI prompt engineers in demand?

AI prompt engineers are increasingly in demand as organizations seek to optimize interactions with large language models and AI systems. The role requires skills in natural language processing, prompt design, and familiarity with AI tools, with job growth driven by expanding AI applications across industries.

What are popular job titles related to Llm Prompt Engineer jobs in Alabama?

For Llm Prompt Engineer jobs in Alabama, the most frequently searched job titles are:

What job categories do people searching Llm Prompt Engineer jobs in Alabama look for?

The top searched job categories for Llm Prompt Engineer jobs in Alabama are:

What cities in Alabama are hiring for Llm Prompt Engineer jobs?

Cities in Alabama with the most Llm Prompt Engineer job openings:

Search Engineer (Software Engineer III)

Seneca Resources Company, LLC

Birmingham, AL • On-site

$130K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 21 days ago


Job description

Position Title: Full Stack Engineer - AI Search & Product Discovery
Location: Remote
Position Status: Full Time
About the Role
We're transforming how millions of industrial buyers discover products through intelligent search experiences powered by AI, machine learning, and modern search technologies.
As a Full Stack Engineer III on our AI Search & Product Discovery team, you'll build the frontend applications, backend services, and search infrastructure that power highly relevant, personalized search experiences at scale. You'll work across the full development lifecycle, from rapid prototyping and experimentation to deploying production-grade solutions and continuously optimizing performance based on real user behavior.
This is an ideal opportunity for an engineer who enjoys solving complex problems at the intersection of full-stack development, search engineering, cloud-native architecture, machine learning, and AI-driven user experiences.
What You'll Do
Build AI-Powered Search Experiences
  • Design, develop, and deploy scalable Python services that power search retrieval, ranking, recommendation, and discovery experiences.
  • Build and integrate machine learning inference pipelines, including embeddings, transformer models, query understanding, reranking services, and LLM-powered features.
  • Develop robust APIs and microservices that support high-volume search workloads and customer-facing applications.
  • Collaborate with product, engineering, and AI teams to translate business goals into impactful search solutions.
  • Continuously improve search relevance, performance, and user engagement through experimentation and data-driven decision making.

Develop Modern Full-Stack Applications
  • Build responsive, accessible, and performant user interfaces using React and modern JavaScript frameworks.
  • Create reusable frontend components and establish engineering standards that improve consistency and developer productivity.
  • Partner with UX and Product teams to transform wireframes and Figma designs into intuitive customer experiences.
  • Contribute to frontend architecture decisions that support long-term scalability and maintainability.

Advance Search & AI Infrastructure
  • Implement hybrid search architectures that combine keyword search, vector search, semantic retrieval, and AI-powered ranking.
  • Build and maintain Elasticsearch/OpenSearch indexing pipelines, query services, and relevance tuning capabilities.
  • Integrate vector databases and retrieval systems such as Pinecone, Weaviate, FAISS, or similar technologies.
  • Develop and optimize Retrieval-Augmented Generation (RAG) and LLM-powered search workflows.
  • Instrument search systems with meaningful metrics, including click-through rate, latency, engagement, and zero-result rates to drive ongoing optimization.

Build Cloud-Native Systems
  • Develop event-driven, distributed systems using Google Cloud Platform (GCP) services such as Cloud Run, GKE, Pub/Sub, and Cloud Functions.
  • Deploy, monitor, and maintain production services using modern DevOps and observability practices.
  • Own service reliability through testing, monitoring, troubleshooting, and operational excellence.

Contribute to Engineering Excellence
  • Participate in architecture discussions, technical design reviews, and code reviews.
  • Mentor peers through collaboration and knowledge sharing.
  • Champion engineering best practices, software craftsmanship, and continuous improvement.

Required Qualifications
  • 4+ years of professional experience in Full Stack Engineering, Backend Engineering, or Software Development.
  • Strong hands-on experience building applications with Python and React.
  • Experience with modern frontend frameworks such as Next.js, Remix, Vite, Gatsby, or similar technologies.
  • Proven experience building and supporting scalable microservices, REST APIs, and/or gRPC services.
  • Experience deploying and operating cloud-native applications in GCP, AWS, or Azure.
  • Experience with Docker, containerized applications, and serverless architectures.
  • Strong understanding of software design patterns, SOLID principles, testing strategies, and maintainable code practices.
  • Experience working with relational and NoSQL databases such as PostgreSQL, MySQL, Oracle, MongoDB, DynamoDB, or similar platforms.
  • Strong communication skills with the ability to collaborate effectively across engineering, product, and architecture teams.
  • Comfortable leveraging AI-assisted development tools to improve productivity and quality.

Preferred Qualifications
Search Engineering
  • Elasticsearch, OpenSearch, Solr, Algolia, or other enterprise search platforms.
  • Search relevance tuning, query optimization, indexing strategies, and ranking algorithms.
  • Large-scale search infrastructure and information retrieval systems.

AI & Machine Learning
  • Generative AI, Large Language Models (LLMs), and AI-powered search experiences.
  • Retrieval-Augmented Generation (RAG).
  • Prompt engineering and LLM orchestration.
  • LangChain, LangGraph, Google ADK, or similar frameworks.
  • Machine learning model deployment and inference pipelines.

Vector Search & Semantic Retrieval
  • Embeddings and semantic search architectures.
  • Approximate Nearest Neighbor (ANN) search.
  • Pinecone, Weaviate, FAISS, Milvus, or similar vector database technologies.

Additional Experience
  • Monorepo development environments.
  • Event-driven architectures.
  • Distributed systems at scale.
  • A/B testing and experimentation frameworks.

About Seneca Resources:
At Seneca Resources, we are more than just a staffing and consulting firm, we are a trusted career partner. With offices across the U.S. and clients ranging from Fortune 500 companies to government organizations, we provide opportunities that help professionals grow their careers while making an impact.
When you work with Seneca, you're choosing a company that invests in your success, celebrates your achievements, and connects you to meaningful work with leading organizations nationwide. We take the time to understand your goals and match you with roles that align with your skills and career path. Our consultants and contractors enjoy competitive pay, comprehensive health, dental, and vision coverage, 401(k) retirement plans, and the support of a dedicated team who will advocate for you every step of the way.