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Llm Backend Engineer Jobs (NOW HIRING)

Junior is building cutting-edge LLM-powered tools for investment research, serving top global private equity firms and consulting practices. They are seeking a Backend Engineer to help build and ...

The company is hiring a Backend Engineer to build the reliable systems behind its AI products ... Experience building AI, LLM, agent, or machine-learning infrastructure * Experience integrating ...

The company is hiring a Backend Engineer to build the reliable systems behind its AI products ... Experience building AI, LLM, agent, or machine-learning infrastructure * Experience integrating ...

The company is hiring a Backend Engineer to build the reliable systems behind its AI products ... Experience building AI, LLM, agent, or machine-learning infrastructure * Experience integrating ...

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 ...

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 ...

The company is hiring a Backend Engineer to build the reliable systems behind its AI products ... Experience building AI, LLM, agent, or machine-learning infrastructure * Experience integrating ...

Staff Backend Engineer Department: Backend Employment Type: Full Time Location: USA Description We ... Experience integrating LLM APIs into backend services or workflows. * Familiarity with vector ...

Junior is a company building cutting-edge LLM-powered tools for investment research, serving top global private equity firms and professional services. They are seeking a Senior Backend Engineer to ...

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 ...

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 ...

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 ...

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 ...

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 ...

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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 Aug 11, 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 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.
More about Llm Backend Engineer jobs
What cities are hiring for Llm Backend Engineer jobs? Cities with the most Llm Backend Engineer job openings:
What states have the most Llm Backend Engineer jobs? States with the most job openings for Llm Backend Engineer jobs include:
Infographic showing various Llm Backend Engineer job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $147,662 per year, or $71 per hour.

Backend Engineer

Junior

Manhattan, NY • On-site

Full-time

Re-posted 21 days ago


Job description

Job Summary:
Junior is building cutting-edge LLM-powered tools for investment research, serving top global private equity firms and consulting practices. They are seeking a Backend Engineer to help build and scale their AI-driven research platform, focusing on data flows, orchestration, and performance across distributed systems.
Responsibilities:
• Ship quickly
• Architect and scale backend systems that support high-throughput LLM interactions, vector search, and multi-agent orchestration.
• Stitch together AI infrastructure across model providers, data stores, and internal APIs to create cohesive, performant systems.
• Own reliability and observability, helping us evolve our database (Postgres / ClickHouse) and job orchestration systems.
• Prototype new backend capabilities (retrieval pipelines, caching layers, async task queues) that let us build faster and smarter.
• Shape our engineering culture
Qualifications:
Required:
• Are based in NYC and excited to work 5 days a week in person
• Are excited by the intersection of AI infrastructure, financial systems, and backend engineering
• Have experience owning backend projects end-to-end — from architecture through to production
• Are strong in Python and TypeScript
• Have worked with PostgreSQL and care about data modelling, reliability, and system design
• Are comfortable building APIs, internal tools, workflows, and infrastructure that support real customers
• Are eager to contribute to product decisions, not just execute tickets
• Feel like you are never building fast enough
Preferred:
• Billing, payments, usage-based pricing, or financial workflows
• Internal infrastructure / dev tools at startups
• Data pipelines, workflow orchestration, or event-driven systems
• Retrieval, embeddings, or prompt orchestration
Company:
Junior is an AI copilot for consultants, automating call transcription, insights extraction, semantic search, and data structuring. Founded in 2023, the company is headquartered in New York, USA, with a team of 11-50 employees. The company is currently Early Stage.