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Llm Backend Engineer Jobs in Alabama (NOW HIRING)

Relativity

Software Engineer

Huntsville, AL · On-site

... backend service design Preferred * Understanding of DevOps principles and experience with tools such as GitHub Actions * Experience working with large language model (LLM) APIs or generative AI ...

Genuine Parts Company

Search Engineer

Birmingham, AL · On-site

... backend systems that power product discovery for millions of industrial buyers-from scalable ... Build and integrate ML inference pipelines: embedding models, transformer-based classifiers, LLM ...

Genuine Parts Company

ML Search Engineer

Birmingham, AL · On-site

... backend systems that power product discovery for millions of industrial buyers-from scalable ... Build and integrate ML inference pipelines: embedding models, transformer-based classifiers, LLM ...

Starfish

Full Stack Software Engineer

Huntsville, AL · Hybrid

Build and integrate backend services, REST APIs, middleware components, and data processing ... Support analytics, dashboards, ETL pipelines, and AI/LLM-enabled capabilities to enhance mission ...

Transform9

Core Platform Engineer

Birmingham, AL · On-site +1

Requirements * 10+ years building production backend or distributed systems * Demonstrated ... LLM-based product or conversational AI experience * HIPAA-regulated or other compliance-heavy ...

Transform9

Core Platform Engineer

Birmingham, AL · On-site +1

Requirements * 10+ years building production backend or distributed systems * Demonstrated ... LLM-based product or conversational AI experience * HIPAA-regulated or other compliance-heavy ...

Transform9

Automation Test Engineer

Birmingham, AL · On-site

$43 - $57/hr

Our agents are LLM-driven, so correctness is a range of acceptable behaviors rather than a single ... backend services, and event-driven architectures - Track record of raising quality standards across ...

Transform9

Automation Test Engineer

Birmingham, AL · On-site +1

$43 - $57/hr

Our agents are LLM-driven, so correctness is a range of acceptable behaviors rather than a single ... backend services, and event-driven architectures - Track record of raising quality standards across ...

Transform9

Automation Test Engineer

Birmingham, AL · On-site

$43 - $57/hr

Our agents are LLM-driven, so correctness is a range of acceptable behaviors rather than a single ... backend services, and event-driven architectures - Track record of raising quality standards across ...

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Llm Backend Engineer information

What is an LLM backend engineer?

LLM Backend Engineers are software engineers who specialize in designing, building, and optimizing the backend infrastructure that supports large language models (LLMs) like GPT-4. They focus on integrating LLMs into products and services, ensuring scalable APIs, managing data pipelines, and optimizing inference performance. Their work often involves deploying models in cloud environments, monitoring system reliability, and collaborating with AI researchers to bring advancements into production. LLM Backend Engineers play a critical role in making AI-powered applications robust, efficient, and accessible to end users.

What are the key skills and qualifications needed to thrive as an LLM backend engineer?

To thrive as an LLM Backend Engineer, you need a solid foundation in software engineering, backend architecture, and experience working with large language models, typically supported by a degree in computer science or a related field. Proficiency with programming languages like Python or Java, cloud platforms (AWS, GCP, Azure), and machine learning frameworks such as TensorFlow or PyTorch is essential, along with familiarity with APIs and containerization tools like Docker or Kubernetes. Strong problem-solving, collaboration, and communication skills distinguish top performers in this role. These skills ensure robust, scalable, and efficient deployment of LLM-powered applications while enabling effective teamwork and innovation.

What are some common challenges faced by LLM backend engineers when deploying large language models in production?

LLM Backend Engineers often encounter challenges such as optimizing inference latency, managing high resource consumption, and ensuring scalability for production workloads. Balancing model performance with cost efficiency requires careful selection of hardware, batching strategies, and model quantization techniques. Additionally, they must address security and privacy concerns associated with handling sensitive data processed by the models. Collaboration with data scientists and DevOps teams is essential to streamline model updates and monitor system health.

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Llm Backend Engineer jobs near you

Search Engineer (Software Engineer III)

Seneca Resources Company, LLC

Birmingham, AL • On-site

$130K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 5 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.

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