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Llm Backend Engineer Jobs (NOW HIRING)

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 ...

Pump.co

Backend Engineer

San Francisco, CA · On-site

$120K - $200K/yr

Python, FastAPI, PostgreSQL, AWS, Docker, Kubernetes (nice to have), LLM/AI (bonus) As a Backend Engineer , you'll contribute directly to the core of our product and infrastructure. This role is ...

Pump.co

Backend Engineer

San Francisco, CA

Python, FastAPI, PostgreSQL, AWS, Docker, Kubernetes (nice to have), LLM/AI (bonus) As a Backend Engineer , you'll contribute directly to the core of our product and infrastructure. This role is ...

Braintrust

Software Engineer, Backend

They are seeking a backend engineer to build the infrastructure behind cutting-edge AI development ... Responsibilities : • Design and ship features that give users deep insight into their LLM usage ...

New

Clera

Backend Engineer

San Francisco, CA · On-site

$72K/yr

Experience building or operating LLM/agent systems in production (prompt engineering, agent ... Backend: TypeScript, Node.js, NestJS (monorepo) * Orchestration: Temporal (Temporal Cloud) * Data:

Clera

Backend Engineer

San Francisco, CA · On-site

$72K/yr

Experience building or operating LLM/agent systems in production (prompt engineering, agent ... Backend: TypeScript, Node.js, NestJS (monorepo) * Orchestration: Temporal (Temporal Cloud) * Data:

Arena Club

Staff Backend Engineer

San Francisco, CA · Remote

$220K - $270K/yr

About the Role We're seeking a Staff Backend Engineer to help scale the backbone of our platform ... AI Development Tools: AI-powered coding assistants (Claude Code, Cursor, etc.), LLM-based ...

Arena Club

Staff Backend Engineer

San Francisco, CA · On-site

$220K - $270K/yr

About the Role We're seeking a Staff Backend Engineer to help scale the backbone of our platform ... AI Development Tools: AI-powered coding assistants (Claude Code, Cursor, etc.), LLM-based ...

Arena Club

Staff Backend Engineer

San Francisco, CA · Remote

About the Role We're seeking a Staff Backend Engineer to help scale the backbone of our platform ... AI Development Tools: AI-powered coding assistants (Claude Code, Cursor, etc.), LLM-based ...

Arena Club

Staff Backend Engineer

Los Angeles, CA · On-site

$200K - $230K/yr

About the Role Join our fast-growing startup as a Staff Backend Engineer and help scale the ... AI Development Tools: AI-powered coding assistants (Claude Code, Cursor, etc.), LLM-based ...

Arena Club

Staff Backend Engineer

Los Angeles, CA · On-site +1

$200K - $230K/yr

About the Role Join our fast-growing startup as a Staff Backend Engineer and help scale the ... AI Development Tools: AI-powered coding assistants (Claude Code, Cursor, etc.), LLM-based ...

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All JobsLlm Backend Engineer Jobs

Llm Backend Engineer information

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$60.5K

$147.7K

$199K

How much do llm backend engineer jobs pay per year?

As of Jul 22, 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.

How much do LLM engineers make?

LLM backend engineers typically earn between $100,000 and $180,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in machine learning frameworks and large language models can command higher salaries, often exceeding $200,000.

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.

Are LLM engineers in demand?

LLM backend engineers are in high demand due to the rapid growth of artificial intelligence and natural language processing applications. Companies seek professionals skilled in machine learning frameworks, programming languages like Python, and large language model deployment to develop and optimize AI systems. This demand is expected to continue as AI technology becomes more integrated into various industries.

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 engineer makes 500,000 a year?

Senior engineers in specialized fields such as software engineering, data engineering, or machine learning engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and working at large tech companies or in high-demand industries. These roles often require expertise in cloud platforms, programming, and system architecture, along with leadership responsibilities or stock options that contribute to total compensation.

What engineers make $300,000 a year?

Senior machine learning engineers, especially those working with large language models (LLMs) and possessing expertise in deep learning, distributed systems, and cloud infrastructure, can earn $300,000 or more annually. High compensation is often associated with experience, specialized skills, and working at top tech companies or in high-demand industries.
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Llm Backend Engineer jobs near you
Infographic showing various Llm Backend Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 92% Full Time, 2% Part Time, and 5% Contract. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution, with an average salary of $147,662 per year, or $71 per hour.
Backend Engineer (CLEARED) with Security Clearance

Backend Engineer (CLEARED) with Security Clearance

Zachary Piper Solutions, LLC

Denver, CO • On-site

$120K - $180K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago

Job description

Zachary Piper Solutions is seeking a Backend Engineer to support a next-generation federal mission-software program focused on modernizing cloud-native operations. This position is based in a hybrid environment with locations including Washington, DC, Arlington, VA, Seattle, San Francisco, Los Angeles, and Denver. The Backend Engineer will design, build, and maintain backend services, APIs, and cloud-integrated capabilities that directly support mission-critical federal operations. This is an excellent opportunity for an engineer who wants to work with modern technologies, contribute to high-impact systems, and grow within a fast-moving, mission-driven environment. ACTIVE SECRET SECURITY CLEARANCE REQUIRED Primary Responsibilities: • Develop backend services and APIs using Python in a production environment • Integrate AWS services including EC2, Lambda, ECS/EKS, S3, RDS, CloudWatch, and Fargate • Build and maintain GraphQL or REST interfaces for mission-critical applications • Support AI/LLM integrations with platforms such as OpenAI, Anthropic, and AskSage • Implement scalable, secure, and cost-efficient cloud architectures • Troubleshoot backend issues, optimize performance, and improve system reliability • Collaborate with frontend engineers, AI engineers, and product teams in an Agile environment • Contribute to CI/CD pipelines, DevSecOps tooling, and infrastructure automation using Terraform or similar IaC tools Required Qualifications: • Bachelor's degree in Computer Science or related field (or equivalent hands-on experience) • 3+ years of professional backend or full-stack engineering experience • Strong proficiency in Python and API development (REST or GraphQL) • Experience with AWS services (Lambda, ECS/EKS, EC2, S3, RDS, CloudWatch) • Hands-on experience with Docker and containerized applications • Familiarity with Kubernetes deployments (EKS preferred) • Experience with Terraform or other Infrastructure-as-Code tools • Strong Git workflow experience (GitHub/GitLab) • U.S. Person status and ability to obtain a U.S. Security Clearance Preferred Experience (Not Required): • Experience integrating AI/LLM APIs (OpenAI, Anthropic, AskSage) • Background in cloud-native distributed systems • Experience in startup or fast-paced engineering environments • Strong troubleshooting, debugging, and performance optimization skills Compensation & Benefits: • Competitive salary range: $120,000 - $180,000 (depending on experience) • Equity opportunities depending on program • Comprehensive benefits package including PTO, paid holidays, medical, dental, vision, 401(k), and sick leave • Hybrid work flexibility depending on location Keywords: Keywords: backend engineer, software engineer, python developer, python, graphql, rest api, api development, cloud engineer, aws engineer, amazon web services, lambda, ecs, eks, ec2, s3, rds, cloudwatch, fargate, kubernetes, docker, containers, containerization, terraform, infrastructure as code, iac, devsecops, ci/cd, git, github, gitlab, microservices, distributed systems, cloud native, ai integration, llm, openai, anthropic, asksage, generative ai, llm api, machine learning integration, startup, mission software, federal, government, clearance, us person, security clearance, secret clearance eligible, hybrid, washington dc, arlington va, seattle, san francisco, los angeles, denver, backend, software development, scalable systems, cloud architecture, high availability, performance optimization, python backend, cloud ops, platform engineering, tech startup, space tech, defense tech, modern stack, fastapi, flask, django, async python, asyncio, devops, sre, observability, logging, monitoring, cloud security, iam, vpc, networking, api gateway, serverless, mission critical systems #LI-Onsite #LI-RE1

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