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Llm Backend Engineer Jobs (NOW HIRING)

LiteLLM AI Gateway

Backend Engineer

San Francisco, CA · On-site

$170K - $230K/yr

Backend Engineer LiteLLM is the world's most popular AI Gateway, trusted by top companies like ... Build and design CPU-level guardrails to cover common attacks on LLM API's / MCP servers / Agents

Nexusflow.ai Inc.

Backend Engineer

Palo Alto, CA

Our team has built the open-source LLM, NexusRaven-V2, rivaling GPT-4 in function calling with a ... Our Backend Engineers package up our technology in models and last-mile quality tooling. Our ...

Junior Company

Backend Engineer

Manhattan, NY · On-site

About Junior We're building cutting-edge LLM-powered workflow tools to supercharge investment ... Role Description As a Backend Engineer, you'll help build and scale the systems that power our AI ...

Junior

Backend Engineer

New York, NY · On-site

About Junior We're building cutting-edge LLM-powered workflow tools to supercharge investment ... Role Description As a Backend Engineer , you'll help build and scale the systems that power our AI ...

Trueseek

Senior Backend Engineer

New York, NY · On-site

$140K - $200K/yr

We're building cutting-edge LLM-powered workflow tools to supercharge investment research for ... Role Description As a Backend Engineer, you'll help build and scale the systems that power our AI ...

Junior Company

Senior Backend Engineer

Manhattan, NY · On-site

Junior Backend Engineer We're building cutting-edge LLM-powered tools that supercharge investment research for the world's most demanding deal teams. Our clients include several of the top 10 global ...

Finvest

Senior Backend Engineer

San Francisco, CA · On-site

Senior Engineer We are looking for a senior engineer to join our team in San Francisco. As one of ... Design and own the core backend infrastructure, including our multi-agent LLM architecture that ...

Finvest

Senior Backend Engineer

San Francisco, CA · On-site

We are looking for a senior engineer to join our team in San Francisco. As one of the founding ... Design and own the core backend infrastructure, including our multi-agent LLM architecture that ...

NxT Level

Senior Software Engineer, Backend

Manhattan, NY · Remote

$170K - $230K/yr

Senior Backend Engineer (GenAI / LLM Workflows) Compensation: $170,000-$230,000 base + equity Location: San Francisco, CA or (open to remote to start) About Our Client Our client has built a leading ...

NxT Level

Senior Software Engineer, Backend

Manhattan, NY · Remote

$170K - $230K/yr

Senior Backend Engineer (GenAI / LLM Workflows) Compensation: $170,000-$230,000 base + equity Location: San Francisco, CA or (open to remote to start) About Our Client Our client has built a leading ...

NxT Level

Senior Software Engineer, Backend

Manhattan, NY · On-site

$170K - $230K/yr

Senior Backend Engineer (GenAI / LLM Workflows) Compensation: $170,000-$230,000 base + equity Location: San Francisco, CA or (open to remote to start) About Our Client Our client has built a leading ...

Virco Talent

Backend Engineer

San Francisco, CA

$160K - $220K/yr

Contribute to the development and improvement of in-house AI/LLM-based systems * Lead engineering ... Strong proficiency in backend development using Python and frameworks such as Django * Experience ...

Junior

Senior Backend Engineer

New York, NY · On-site

About Junior We're building cutting-edge LLM-powered tools that supercharge investment research for ... Role Description As a Backend Engineer , you'll help build and scale the systems that power our AI ...

Braintrust

Software Engineer, Backend

New York, NY · On-site

What you'll do As a backend engineer at Braintrust, you'll help build the core platform powering LLM-native development: * Design and ship features that give users deep insight into their LLM usage ...

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Llm Backend Engineer information

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$60.5K

$147.7K

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How much do llm backend engineer jobs pay per year?

As of Jun 6, 2026, the average yearly pay for llm backend engineer in the United States is $147,662.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,000.00 and $172,000.00 per year, depending on experience, location, and employer.

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.

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.
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Llm Backend Engineer jobs near you
Infographic showing various Llm Backend Engineer job openings in the United States as of May 2026, with employment types broken down into 75% Full Time, 1% Part Time, 1% Temporary, 22% Contract, and 1% Nights. Highlights an 76% Physical, 5% Hybrid, and 19% Remote job distribution, with an average salary of $147,662 per year, or $71 per hour.

Backend Engineer - LLM & Data Engineering

Purple Drive

Richardson, TX • On-site

Full-time

This job post has expired 1 day ago. 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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