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Llm Backend Engineer Jobs in Texas (NOW HIRING)

Artech

AI / LLM Engineer

Dallas, TX · On-site

Strong backend engineer with hands-on AI, GenAI/LLM production experience (not just research) Required skills: Large Language Models (OpenAI/Azure OpenAI or similar) Very strong Prompt engineering ...

Meltwater

Senior Backend Engineer

Austin, TX

Experience integrating with LLM/embedding providers via clean abstractions (timeouts, retries ... strong backend engineering practices. * Supportive, collaborative team culture-ideas are heard ...

Meltwater

Senior Backend Engineer

Austin, TX

Experience integrating with LLM/embedding providers via clean abstractions (timeouts, retries ... strong backend engineering practices. * Supportive, collaborative team culture-ideas are heard ...

Driver AI Inc.

Software Engineer - Backend

Austin, TX · On-site +1

$175K - $275K/yr

... LLM expertise to tackle context engineering at scale. Driver builds the context layer for employees ... Software Engineer - Backend Location : Remote or Austin, TX About the Role Our core innovation, the ...

Driver AI Inc.

Software Engineer - Backend

Austin, TX · Remote

... LLM expertise to tackle context engineering at scale. Driver builds the context layer for employees ... Software Engineer - Backend Location : Remote or Austin, TX About the Role Our core innovation, the ...

Vogo

Senior Backend Engineer

Dallas, TX · On-site +1

Our backend systems are the backbone of the traveler experience, and this role plays a critical ... LLM-powered features into our platform * Tackle high-scale engineering challenges to ensure ...

Avanciers LLC

Backend Developer

Austin, TX

Avanciers are looking for a strong Backend Developer with a Data Engineering focus to join our ... Exposure to AI/LLM infrastructure * Experience with vector databases and retrieval systems

h2o.ai

AI Engineer

Dallas, TX · On-site

$103.40K - $142K/yr

This is a hands-on engineering role embedded within a customer-facing field team, meaning your work ... LLM. * Backend development skills: REST APIs, containerization (Docker/Kubernetes), and CI/CD ...

h2o.ai

AI Engineer

Dallas, TX · On-site

$103.40K - $142K/yr

This is a hands-on engineering role embedded within a customer-facing field team, meaning your work ... LLM. * Backend development skills: REST APIs, containerization (Docker/Kubernetes), and CI/CD ...

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Llm Backend Engineer information

What are the key skills and qualifications needed to thrive as an LLM Backend Engineer, and why are they important?

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.

What are LLM Backend Engineers?

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.
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Llm Backend Engineer jobs near you

Backend Engineer - LLM & Data Engineering

Purple Drive

Richardson, TX • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Overview:
Role Summary
We are looking for a Backend Engineer with strong experience in Python, LLM integration, and data engineering. The ideal candidate will have hands-on expertise in prompt engineering, fine-tuning LLMs, and working with LangChain and vector databases, while also ensuring robust API and backend development on modern cloud platforms.
Key Responsibilities
  • Design, develop, and maintain backend services and APIs with a strong focus on scalability and performance.
  • Implement LLM-based solutions, including prompt engineering and fine-tuning of large language models.
  • Build and optimize pipelines leveraging LangChain, vector databases, and LLM frameworks (OpenAI, Vertex AI, Hugging Face Transformers, etc.).
  • Develop and integrate REST APIs to support AI-driven applications and workflows.
  • Work on cloud platforms (AWS, GCP, or Azure) for deployment, scaling, and monitoring.
  • Collaborate with cross-functional teams to deliver end-to-end AI-powered solutions.
Required Skills & Experience
  • 5+ years of professional experience in software/data engineering with a backend focus.
  • Strong Python programming expertise.
  • Hands-on experience with LangChain, LLMs (OpenAI, Vertex AI, Hugging Face, etc.), and vector databases.
  • Knowledge of prompt engineering and LLM fine-tuning techniques.
  • Strong understanding of REST API design and integration.
  • Experience with cloud environments (AWS, GCP, or Azure).
Good to Have
  • Experience with ETL/ELT pipelines and handling large datasets.
  • Strong knowledge of data preprocessing for ML/AI applications.
  • Familiarity with application security (authentication, authorization, vulnerability mitigation).
  • Exposure to DevOps tools (Docker, Kubernetes, GitHub Actions, Jenkins, etc.).
  • Experience with FastAPI for building high-performance APIs.

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