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Llm Developer Jobs in Dallas, GA (NOW HIRING)

Worth AI

Senior Agentic (AI) Engineer

Atlanta, GA · On-site +1

$100K - $138K/yr

Own the eval stack: golden sets, offline regression suites, LLM-as-judge, online A/B and shadow ... Mentor engineers on agent patterns, prompt hygiene, eval discipline, and LLM failure modes.

Worth AI

Senior Agentic (AI) Engineer

Atlanta, GA · Remote

$107K - $146K/yr

Own the eval stack: golden sets, offline regression suites, LLM-as-judge, online A/B and shadow ... Mentor engineers on agent patterns, prompt hygiene, eval discipline, and LLM failure modes.

Deloitte

Forward Deployed Engineer- AWS

Atlanta, GA · On-site

... Generative AI Developer (Professional - AIP-C01), AWS Certified Machine Learning Engineer ... Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event ...

Learn Beyond Consulting LLC

AI Devops Engineer

Atlanta, GA · On-site

$50.75 - $69.50/hr

Exposure to LLM-based applications, AI agents, prompt engineering, API integrations, and orchestration frameworks such as LangChain. Experience designing and supporting agent-based systems at scale ...

Omaze

Staff Machine Learning Engineer - Search

Atlanta, GA · On-site

$159 - $208.95/hr

Building and scaling multi-layer serving architectures for ML and GenAI/LLM models, making key ... Set engineering standards and mentor junior engineers, elevating team practices in system design ...

Aventine software

Full Stack Developer

Atlanta, GA · On-site

Full-Stack Developer Location: Berkeley Heights, NJ / Alpharetta, GA(5days onsite) You will be part ... Utilize GitHub Copilot, Cursor, or similar LLM tools for 80% of your boilerplate, unit testing, and ...

Sumeru

Senior AI/ML Engineer

Atlanta, GA · On-site

$100K - $138K/yr

Senior AI/ML Engineer Location: Bellevue/Seattle, WA ; Atlanta, GA, and Frisco, TX Need Local ... You will also contribute to LLM-based solutions that enable natural language querying of CDP data ...

FHR

M724-UiPath Developer 65886

Atlanta, GA · On-site

... AI, LLM integration, prompt engineering, and AI orchestration Programming/scripting languages such as C#, VB.NET, Python, PowerShell, or JavaScript Cloud platforms and enterprise authentication ...

CYNET SYSTEMS

AI Engineer

Atlanta, GA · On-site

$50 - $55/hr

Integrate Generative AI/LLM-based capabilities into enterprise applications and business processes ... Engineer prompts and contextual workflows to improve LLM response quality and relevance.

Candescent

Principal AI Security Engineer

Atlanta, GA · On-site

Define and maintain secure integration patterns for third-party AI and LLM services, including API ... Work with engineering, product, and cloud platform teams to embed security-by-design into AI ...

CYNET SYSTEMS

AI Engineer

Atlanta, GA · On-site

$50 - $55/hr

Integrate Generative AI/LLM-based capabilities into enterprise applications and business processes ... Engineer prompts and contextual workflows to improve LLM response quality and relevance. Implement ...

Capitolis

Principal AI Security Engineer

Atlanta, GA · On-site

$120 - $150/hr

Define and maintain secure integration patterns for third‑party AI and LLM services, including ... Work with engineering, product, and cloud platform teams to embed security‑by‑design into ...

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Llm Developer information

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How much do llm developer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for llm developer in Dallas, GA is $45.32, according to ZipRecruiter salary data. Most workers in this role earn between $35.62 and $54.95 per hour, depending on experience, location, and employer.

What does an LLM Developer do?

An LLM Developer designs, fine-tunes, and implements large language models (LLMs) for various applications, such as chatbots, content generation, and AI-driven tools. They work with machine learning frameworks, optimize model performance, and ensure efficient deployment. This role requires expertise in natural language processing (NLP), deep learning, and programming languages like Python.

What are the key skills and qualifications needed to thrive as an LLM Developer?

To excel as an LLM Developer, you need strong expertise in natural language processing (NLP), deep learning frameworks, and programming languages such as Python, typically supported by a degree in computer science or a related field. Familiarity with machine learning libraries (like TensorFlow or PyTorch), cloud computing platforms, and experience with prompt engineering or fine-tuning large language models is crucial. Excellent problem-solving abilities, collaboration, and effective communication skills help you design solutions and work efficiently within multidisciplinary teams. These qualifications are essential for successfully building, deploying, and optimizing large language models that drive impactful AI applications.

What is the role of a large language model developer?

A large language model developer designs, trains, and fine-tunes AI models that understand and generate human language. They work with machine learning frameworks, manage large datasets, and optimize models for accuracy and efficiency, often requiring knowledge of programming, deep learning, and natural language processing techniques.

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Llm Developer jobs near you
Infographic showing various Llm Developer job openings in Dallas, GA as of July 2026, with employment types broken down into 82% Full Time, 8% Part Time, and 10% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $94,267 per year, or $45.3 per hour.

Senior Agentic (AI) Engineer

Worth AI

Atlanta, GA • On-site, Remote

$100K - $138K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago

Job description

Worth AI is hiring a Senior Agentic AI Engineer to design and ship production agent systems that automate KYB, underwriting, and risk decisions on regulated financial data. You'll own agents end-to-end architecture, retrieval, tools, evals, and production deployment and partner closely with our Chief AI Officer, applied scientists, and platform teams.

Responsibilities
  • Design and ship multi-step agentic systems (planner/executor, tool-using, multi-agent, human-in-the-loop) for onboarding, underwriting, case review, and continuous monitoring.
  • Architect agent graphs in LangGraph (or comparable - CrewAI, AutoGen, Claude Agent SDK) with explicit state, durable execution, retries, and safe fallbacks.
  • Build the retrieval layer powering our agents - chunking, hybrid search, reranking, and grounded citation.
  • Own the eval stack: golden sets, offline regression suites, LLM-as-judge, online A/B and shadow evals, and red-teaming for jailbreaks, prompt injection, and PII leakage.
  • Expose agents to production systems via well-typed tools and MCP servers. Treat tool surface area as a product.
  • Drive production MLOps: deployment, versioning, traffic shaping, cost/latency budgets, tracing, and on-call playbooks for agent incidents.
  • Partner with security and compliance to keep agents inside SOC 2, GDPR, CCPA, and fair-lending posture - auditability and explainability built in, not bolted on.
  • Mentor engineers on agent patterns, prompt hygiene, eval discipline, and LLM failure modes.
  • Technology Stack
    • Languages: Python, Node.js, TypeScript
    • Agent / LLM frameworks: LangGraph, LangChain, Claude Agent SDK, MCP, OpenAI SDK
    • Models: Anthropic Claude, OpenAI, open-weight where appropriate
    • Retrieval & Data: PostgreSQL, pgvector, OpenSearch, Kafka, Redshift, Redis
    • Infra: AWS, Kubernetes (EKS), ArgoCD, Terraform
    • Evals & Observability: LangSmith / Langfuse / Braintrust-style tooling, DataDog

Requirements

  • 5+ years of software engineering experience, with 2+ years building production LLM or agentic systems (not just notebooks or demos).
  • Hands-on experience with a modern agent framework (LangGraph strongly preferred) and a track record of shipping agents that run, fail gracefully, and recover.
  • Strong RAG fundamentals chunking, embeddings, hybrid retrieval, reranking, grounding - and judgment about when RAG isn't the right answer.
  • Real eval experience golden sets, offline and online evaluations, used to make ship/no-ship calls.
  • Production MLOps fluency: deployed LLM workloads under real latency, cost, and reliability constraints.
  • Strong Python; comfortable in TypeScript / Node.js.
  • Solid systems engineering instincts APIs, async patterns, queues, databases, distributed system failure modes.
  • Calibrated communicator; thrives in ambiguous, fast-moving environments.
  • Prior experience in fintech, lending, payments, KYB/KYC, fraud, or AML.
  • Experience building MCP servers or other structured tool interfaces for LLMs.
  • Background in classical ML (ranking, scoring, calibration).
  • Experience designing explainable / auditable AI workflows for regulated environments.
  • Open-source contributions to agent frameworks, eval tooling, or retrieval libraries.
  • AWS depth (EKS, MSK, RDS, S3, Lambda) and IaC with Terraform.
Success Metrics
  • Agent Quality: Measurable improvements in task success rate, grounding accuracy, and hallucination rate on our eval suites.
  • Production Reliability: Agents you own meet defined SLOs for latency (P90/P99), tool-call success, and cost per task.
  • Velocity: New agent capabilities go from prototype to production in weeks, without skipping evals or guardrails.
  • Risk Posture: Zero material incidents tied to prompt injection, PII leakage, or unsafe tool use on agents you own.
  • Force Multiplier: Patterns, tools, and eval scaffolding you build get adopted across engineering.

All Remote Hires will be required to travel to Orlando, Florida at least twice per year for Town Halls and team collaboration, in addition to orientation in Orlando.

Benefits

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance
  • Flexible Paid Time Off
  • 9 paid Holidays
  • Family Leave
  • Remote
  • Hybrid work (for Orlando Associates)
  • Free Food & Snacks (Orlando)
  • Wellness Resources

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