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Llm Developer Jobs in Delaware (NOW HIRING)

Own delivery of LLM API integration and SDK patterns used across applications. * Set organizational guidance on which LLM to use for what use case and drive delivery of multi-LLM scenarios. * Define ...

Lead AI Engineer | Onsite - Delaware

Wilmington, DE ยท On-site

$99K - $131K/yr

Own delivery of LLM API integration and SDK patterns used across applications. * Set organizational guidance on which LLM to use for what use case and drive delivery of multi-LLM scenarios. * Define ...

LLM development and fine-tuning strategies, best practices, and standards to enhance AI ML model ... engineers for the deployment of machine learning models into production environments, ensuring ...

LLM development and fine-tuning strategies, best practices, and standards to enhance AI ML model ... engineers for the deployment of machine learning models into production environments, ensuring ...

Senior Staff Agentic AI Engineer

Wilmington, DE ยท On-site +1

$102K - $139K/yr

Master's Degree in Computer Science or related field of study. * 15+ years of experience in Software Engineering including3+ years of experience in AI/ML, Generative AI, or agentic systems (e.g., LLM ...

... LLM post-training -- SFT, RLHF, PPO, DPO, or reward model training -- and understanding of how training data quality affects model behavior Familiarity with RL frameworks (Gymnasium, dm_env) and the ...

... LLM post-training -- SFT, RLHF, PPO, DPO, or reward model training -- and understanding of how training data quality affects model behavior Familiarity with RL frameworks (Gymnasium, dm_env) and the ...

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Llm Developer information

See Delaware salary details

$25

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$79

How much do llm developer jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for llm developer in Delaware is $50.21, according to ZipRecruiter salary data. Most workers in this role earn between $39.47 and $60.87 per hour, depending on experience, location, and employer.

What is the salary of LLM developer?

The salary of an LLM developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and the complexity of projects. Skilled developers with expertise in machine learning, natural language processing, and relevant tools like Python and TensorFlow tend to earn higher salaries.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior AI researchers or machine learning executives, often involving advanced skills in deep learning, large language models, and extensive experience. These positions may include leadership responsibilities, require specialized certifications, and offer compensation packages that include salary, bonuses, and stock options. Such roles are usually found in top tech companies or AI-focused organizations and demand a strong track record of innovation and technical expertise.

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 in the Llm Developer position, and why are they important?

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 engineers make $500,000?

Senior machine learning engineers, including those developing large language models (LLMs), can earn $500,000 or more annually, especially with extensive experience, advanced skills in deep learning, and work at top tech companies. High compensation often includes base salary, bonuses, and stock options, particularly in competitive markets or leadership roles.

What are the typical daily tasks and responsibilities of an LLM Developer?

As an LLM Developer, your daily responsibilities often include designing, fine-tuning, and evaluating large language models to meet specific application needs. You may work on tasks such as data preprocessing, model training, performance benchmarking, and error analysis, frequently collaborating with data scientists, research engineers, and product managers. Keeping up to date with the latest advancements in NLP and integrating new techniques into production models is also a key part of the role. These tasks are usually performed in a team-oriented environment where clear communication and iterative experimentation are highly valued.

What are LLM developers?

LLM developers are software engineers who design, build, and optimize large language models used in artificial intelligence applications. They typically work with machine learning frameworks, programming languages like Python, and tools such as TensorFlow or PyTorch to develop models for tasks like natural language processing and understanding.
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What job categories do people searching Llm Developer jobs in Delaware look for? The top searched job categories for Llm Developer jobs in Delaware are:
What cities in Delaware are hiring for Llm Developer jobs? Cities in Delaware with the most Llm Developer job openings:
Infographic showing various Llm Developer job openings in Delaware as of July 2026, with employment types broken down into 85% Full Time, 5% Part Time, 1% Temporary, and 9% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $104,434 per year, or $50.2 per hour.
Lead DevOps Engineer (Azure DevOps & AWS) | Onsite - Delaware

Lead DevOps Engineer (Azure DevOps & AWS) | Onsite - Delaware

Photon

Wilmington, DE โ€ข On-site

$51.25 - $70/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago


Job description

Key Responsibilitiesย 

  • Own delivery of the CI/CD pipeline (Azure DevOps) used across engineering, including branching, environment promotion, and release-gating strategy - accountable for pipeline reliability and release velocity, not just design.ย 
  • Define infrastructure-as-code standards and multi-cloud/AWS provisioning patterns; approve module design and drift-remediation approach.ย 
  • Drive zero-downtime deployment delivery (blue/green, canary) and multi-region rollout for regulated financial workloads, including go/no-go calls.ย 
  • Set the observability strategy (metrics, logs, traces, SLOs) and define what "production-ready" means for services shipping through the pipeline.ย 
  • Own the security posture of the delivery pipeline: SAST/DAST integration, container and infrastructure scanning gates, secrets management, and OWASP-aligned controls.ย 
  • Evaluate and stand up emerging platform needs - LLM gateway infrastructure, vector database hosting, and cost/latency monitoring for AI-enabled services (e.g., AWS Bedrock) - as the delivery platform extends to support AI workloads.ย 
  • Run day-to-day delivery of the offshore senior developer team: sprint planning and commitments, code/design review, real-time unblocking, and hands-on work on critical-path or time-sensitive items.ย 
  • Report delivery status, risks, and blockers to engineering leadership; own the roadmap timeline for this platform area.ย 

Must-Have Qualificationsย 

  • 8+ years in DevOps/platform/delivery engineering, with 3+ years as a tech lead owning end-to-end delivery (not a pure design/review architect role).ย 
  • Proven track record of shipping and operating production platforms on committed timelines, including hands-on troubleshooting under delivery pressure.ย 
  • Deep, hands-on-to-expert knowledge ofย Azure DevOps Pipelinesย (design, governance at scale, not just usage).ย 
  • Strongย Terraform/IaCย design experience (module architecture, state management, multi-environment strategy).ย 
  • Expert-levelย AWSย (core compute, networking, IAM, security services) in a production, multi-account setting.ย 
  • Proven architecture experience withย Docker & container orchestration.ย 
  • Demonstrated design ofย Blue/Green deployment patternsย andย multi-region deploymentย architecture.ย 
  • Strong grounding inย Observabilityย architecture (not just tool usage - designing what/how/why to observe).ย 
  • Experience architectingย Test Automationย strategy across a large engineering org.ย 
  • Deep expertise inย security scanning integrationย (SAST/DAST),ย container scanning, andย infrastructure scanningย as pipeline gates.ย 
  • Working knowledge ofย OWASPย top risks and how to enforce them via pipeline controls.ย 
  • Experience designingย Secrets Managementย architecture (vaults, rotation, least-privilege access) in a regulated environment.ย 
  • Financial-services or similarly regulated-industry experience (audit, compliance, change-control awareness).ย 
  • Strong communication skills - must translate technical decisions to non-technical stakeholders and directly manage day-to-day delivery of an offshore team (standups, unblocking, sprint accountability).ย 

Nice-to-Have Qualificationsย 

  • Experience architectingย LLM gateway infrastructureย for internal AI tooling.ย 
  • Familiarity withย PII detection and scrubbingย patterns in pipelines or data flows.ย 
  • Exposure toย Vector DB infrastructureย design and hosting considerations.ย 
  • Experience withย AWS Bedrockย or comparable managed LLM platforms.ย 
  • Experience setting upย cost and latency monitoringย for AI/LLM-backed services.ย 
  • Prior experience managing or mentoring an offshore/distributed engineering team.ย 
  • Relevant certifications (AWS Solutions Architect Professional, Terraform Associate, Azure DevOps Engineer Expert).

Compensation, Benefits and Duration

Minimum Compensation: USD 56,000
Maximum Compensation: USD 196,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post