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Llm Backend Engineer Jobs in Georgia (NOW HIRING)

Senior Backend Engineer (AI Agent)

Atlanta, GA · On-site +1

$116K - $195K/yr

As a Senior Backend Engineer specializing in AI agents, you will design the agents themselves ... Experience with LLM evaluation: building datasets, defining scorers/metrics, and using eval results ...

Proficient in building or integrating functional AI models using techniques such as LLM prompting ... engineers on how to leverage AI * Ability to work collaboratively with cross-functional teams ...

Proficient in building or integrating functional AI models using techniques such as LLM prompting ... engineers on how to leverage AI * Ability to work collaboratively with cross-functional teams ...

Proficient in building or integrating functional AI models using techniques such as LLM prompting ... engineers on how to leverage AI * Ability to work collaboratively with cross-functional teams ...

Backend and Integration Engineering: Build backend services in Python or Node that orchestrate agent interactions; integrate with LLM APIs, vector databases, evaluation services, and enterprise ...

Sr Server Software Engineer

Alpharetta, GA

$119K - $157K/yr

As a Backend Engineer on this team, you will focus on scaling and expanding our employee management ... Knowledge of or exposure to Generative AI concepts, LLM integrations, or building AI-driven ...

Sr Server Software Engineer

Alpharetta, GA · On-site

$119K - $157K/yr

As a Backend Engineer on this team, you will focus on scaling and expanding our employee management ... Knowledge of or exposure to Generative AI concepts, LLM integrations, or building AI-driven ...

Senior AI Engineer

Atlanta, GA · On-site

$100K - $138K/yr

Responsibilities : • Architect and deliver end-to-end LLM-powered applications and agentic ... backend services, and cloud platforms • Establish evaluation, reliability, and performance ...

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Llm Backend Engineer information

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.
What cities in Georgia are hiring for Llm Backend Engineer jobs? Cities in Georgia with the most Llm Backend Engineer job openings:
Infographic showing various Llm Backend Engineer job openings in Georgia as of August 2026, with employment types broken down into 87% Full Time, 6% Part Time, 1% Temporary, and 6% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Senior Backend Engineer (AI Agent)

Bigcommerce

Atlanta, GA • On-site, Remote

$116K - $195K/yr

Full-time

Re-posted 3 days ago


Job description

Welcome to the Agentic Commerce Era

At Commerce, our mission is to empower businesses to innovate, grow, and thrive with our open, AI-driven commerce ecosystem. As the parent company of BigCommerce, Feedonomics, and Makeswift, we connect the tools and systems that power growth, enabling businesses to unlock the full potential of their data, deliver seamless and personalized experiences across every channel, and adapt swiftly to an ever-changing market. We believe in harnessing AI responsibly to unlock new possibilities, and we're looking for individuals who use it intentionally to solve problems, accelerate outcomes, and expand what's possible in their role. Our purpose is to help businesses confidently solve complex commerce challenges so they can build smarter, adapt faster, and grow on their own terms. If you want to be part of a team of bold builders, sharp thinkers, and technical trailblazers who shape the future of commerce, this is the place for you.

BigCommerce is building a new team to deliver a suite of conversational AI agents spanning the B2B commerce lifecycle - Product Discovery, Pricing & Quoting, Order Automation, Fulfillment & Delivery, and Post-Sale Support. The agents are built in Go on Google ADK with Gemini, with evaluation infrastructure in Braintrust and a streaming AG-UI frontend.

As a Senior Backend Engineer specializing in AI agents, you will design the agents themselves: orchestration, sub-agent architecture, tool integration, prompt engineering, and - critically - the evaluation discipline that determines whether these agents are trustworthy enough to ship. Agent quality in this domain is won on evals, not just code, and you will own that practice for the team.

BigCommerce, part of the Commerce brand family, helps merchants increase sales at every stage of their growth. From small startups to mid-market businesses and large enterprises, we provide the leading e-commerce platform. Our customers can then concentrate on what's most important: growing their businesses. We enable our customers to build, innovate, and grow, collectively reshaping the e-commerce industry.

What You'll Do

  • Design, build, and iterate on AI agents in Go/Python using an orchestrator/sub-agent architecture, covering intent interpretation, delegation, and safe action execution
  • Own eval-driven development: build and maintain golden datasets, scorers, and regression suites (Braintrust or similar) for critical quality metrics such as discovery recall and quote accuracy
  • Develop and refine prompts, model configurations; treat prompts and model settings as versioned, tested artifacts
  • Integrate agents with MCP servers and backend tools, defining safe tool-call contracts, approval flows for write actions, and guardrails against prompt injection and abuse
  • Instrument agents with tracing, metrics, and cost tracking; use production signals to drive quality improvements
  • Collaborate with product designers and frontend engineers to deliver intuitive, useful conversational experiences
  • Quickly build proof-of-concept agents to validate user stories, then harden them to GA quality
  • Drive architecture decisions on ambiguous problems and mentor other engineers in agent engineering practices

Who Are You

  • 5+ years of experience in backend or full-stack software development, with hands-on experience building agentic AI/LLM applications
  • Education: Preferred minimum Bachelor's degree in CS, EE, SW, CE, MIS; or equivalent experience
  • Strong and proven development skills in any major language (Go/Python/Ruby/PHP)
  • Experience working with LLMs (Gemini, Anthropic, OpenAI, etc.) in production systems
  • Experience with LLM evaluation: building datasets, defining scorers/metrics, and using eval results to drive iteration
  • Strong understanding of prompt engineering, tool/function calling, and agent orchestration patterns
  • Deep experience designing and building APIs (gRPC, GraphQL, REST) and integrating data across systems
  • Hands-on experience building MCP servers or LLM tool integrations
  • Excellent problem-solving skills and ability to work in a fast-paced, exploratory environment
  • Strong collaboration and communication skills in cross-functional teams
  • Strong preference toward execution and delivery

Preferred:

  • Experience with agent frameworks (Google ADK, LangChain/LangGraph, Semantic Kernel, or similar)
  • Experience with evaluation/observability platforms (Braintrust, LangSmith, or similar)
  • Experience with RAG systems and retrieval quality tuning
  • Experience with e-commerce platforms or SaaS product development
  • Background in conversational AI or natural language processing


Work Where You Thrive

For candidates based in the Austin or Atlanta metro area, the position follows a hybrid work model with three days per week in the office, balancing focused individual work with meaningful in-person collaboration.

#LI-REMOTE

#LI-GC1

(Pay Transparency Range:$116,000.00 - $195,000.00)

Compensation Transparency


The national base salary range for this role is posted above in this job post.

Final compensation will be determined based on factors such as relevant experience, skills, qualifications and geographic location. We also consider internal equity to help ensure fair and consistent pay practices across our teams.

Where applicable, this role may also be eligible for variable compensation (such as bonus or commission), equity, and benefits in accordance with local policies. Details will be shared during the hiring process. We are committed to equitable and transparent pay practices that align to market data, internal equity, and individual contribution.

Inclusion and Belonging

At Commerce, we believe that celebrating the unique histories, perspectives and abilities of every employee makes a difference for our company, our customers and our community. We are an equal opportunity employer and the inclusive atmosphere we build together will make room for every person to contribute, grow and thrive.

We are committed to creating an inclusive and accessible hiring experience for all candidates. If you require accommodations or adjustments at any stage of the recruitment process, please let us know and we will work with you to meet your needs.

Learn more about the Commerce team, culture and benefits at https://www.commerce.com/careers/

Protect Yourself Against Hiring Scams: Our Corporate Disclaimer

Commerce, along with many other employers, has become the subject of fraudulent job offers to hopeful prospective job seekers.
Be advised:
Commerce does not offer jobs to individuals who do not go through our formal hiring process.
Commerce will never:

  • require payment of recruitment fees from candidates;

  • request personally identifiable information through unsanctioned websites or applications;

  • attempt to solicit money from you as part of the hiring process or as part of an employment offer;

  • solicit money to complete visa requirements as part of a job offer.


If you receive unsolicited offers of employment from Commerce, we urge you to be extremely cautious and avoid engaging or responding.


BigCommerce logo

About BigCommerce

Sourced by ZipRecruiter

BigCommerce's mission is to help merchants sell more at every stage of growth, from small startups, to mid-market businesses to large enterprises. We focus on being the best ecommerce platform so our customers can focus on what matters most: growing their businesses. We are equally passionate about growing our employee's careers and providing them an incredible experience as we rapidly expand across the globe. We are proud to have been recognized numerous times for our product and workplace culture. We empower our people and customers to build, innovate and grow, so together we can redefine the ecommerce industry.

Industry

Technology, communication and media

Company size

501 - 1,000 Employees

Headquarters location

Austin, TX, US

Year founded

2009