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Senior Llm Engineer Jobs in Delaware (NOW HIRING)

Berkley

Sr. AI Engineer

Wilmington, DE · On-site

$118K - $156K/yr

Responsibilities The Sr. AI Engineer is focused on building, testing, and operating AI-enabled ... Experience with LLM evaluation frameworks like DeepEval and RAGAs Additional Company Details We do ...

Berkley

Sr. AI Engineer

Wilmington, DE

$118K - $156K/yr

Responsibilities The Sr. AI Engineer is focused on building, testing, and operating AI-enabled ... Experience with LLM evaluation frameworks like DeepEval and RAGAs Additional Company DetailsWe do ...

Berkley

Sr. AI Engineer

Wilmington, DE · On-site

$118K - $156K/yr

The Sr. AI Engineer is focused on building, testing, and operating AI-enabled features and services ... Experience with LLM evaluation frameworks like DeepEval and RAGAs We do not accept unsolicited ...

Humana Inc

Senior Engineer, Offensive Security

Dover, DE · On-site

$118 - $162/hr

As Senior Offensive Security Engineer, AI-Driven Red Team & Tooling, you'll build the AI and ... These agents include LLM-driven planning loops and multi-agent orchestration. Additionally, create ...

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Senior Llm Engineer information

What are the key skills and qualifications needed to thrive as a senior LLM engineer, and why are they important?

To thrive as a Senior LLM Engineer, you need deep expertise in machine learning, natural language processing, and advanced programming skills, typically supported by a degree in computer science or a related field. Familiarity with frameworks and tools such as PyTorch, TensorFlow, Hugging Face Transformers, and cloud platforms, along with experience in deploying large-scale language models, is crucial. Strong problem-solving, collaboration, and communication skills set top performers apart in leading cross-functional AI initiatives. These abilities are vital for developing, optimizing, and scaling cutting-edge language models that drive innovation and business value.

Are senior Llm engineers in demand?

Senior Llm engineers are in high demand due to the rapid growth of artificial intelligence and natural language processing industries. They are sought after for their expertise in developing and deploying large language models, often requiring skills in machine learning frameworks, programming, and data management. This demand is expected to continue as AI applications expand across various sectors.

What is a senior LLM engineer?

Senior LLM (Large Language Model) Engineers are experienced professionals who design, build, optimize, and maintain advanced language models like GPT, BERT, or similar AI systems. They work on tasks such as model training, fine-tuning, deployment, and troubleshooting, often collaborating with data scientists and software engineers. Their expertise includes deep learning frameworks, natural language processing, and software engineering best practices. Senior LLM Engineers also play a key role in ensuring the ethical and efficient use of AI models in production systems.

What are some common challenges senior LLM engineers face when deploying large language models in production environments?

Senior LLM Engineers often encounter challenges related to scaling models efficiently, managing latency, and ensuring model outputs are safe and reliable. Deploying large language models requires careful optimization to balance performance with computational costs, as well as robust monitoring to detect and mitigate issues like bias or hallucination in outputs. Collaboration with cross-functional teams, including data scientists, product managers, and DevOps, is key to addressing these challenges and ensuring successful model deployment and maintenance.

What is the difference between Senior Llm Engineer vs Machine Learning Engineer?

AspectSenior Llm EngineerMachine Learning Engineer
CredentialsAdvanced degrees in CS, NLP, or AI; experience with LLMsDegrees in CS, Data Science, or AI; strong programming skills
Work EnvironmentFocus on NLP, language models, and large-scale data processingBroader ML tasks, including data modeling, algorithms, and deployment
Industry UsagePrimarily in AI/NLP-focused companies, research labs

Senior Llm Engineers specialize in large language models and NLP-specific tasks, often requiring advanced NLP knowledge and experience with LLMs. Machine Learning Engineers have a broader scope, working on various ML models and applications across industries. While both roles require strong technical skills, Senior Llm Engineers focus more on language-specific AI, whereas Machine Learning Engineers handle diverse ML projects.

What are the most commonly searched types of Llm Engineer jobs in Delaware?

The most popular types of Llm Engineer jobs in Delaware are:

What are popular job titles related to Senior Llm Engineer jobs in Delaware?

For Senior Llm Engineer jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Senior Llm Engineer jobs in Delaware look for?

The top searched job categories for Senior Llm Engineer jobs in Delaware are:

What cities in Delaware are hiring for Senior Llm Engineer jobs?

Cities in Delaware with the most Senior Llm Engineer job openings:

Senior Llm Engineer jobs near you
Infographic showing various Senior Llm Engineer job openings in Delaware as of August 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Sr. AI Engineer

Berkley

Wilmington, DE • On-site

$118K - $156K/yr

Other

Re-posted 24 days ago

Job description

Company Details
Company URL: https://www.berkleytechnologyservices.com/
Berkley Technology Services (BTS) is the dynamic technology solution for W. R. Berkley Corporation, a Fortune 500 Commercial Lines Insurance Company. With key locations in Urbandale, IA and Wilmington, DE, BTS provides innovative and customer-focused IT solutions to the majority of WRBC's 60+ operating units across the globe. BTS's wide reach ensures that ideas and opinions are considered at every level of the organization to guarantee we find the best solutions possible.
Driven by a commitment to collaboration, BTS acts as consultants to our customers and Operating Units by providing comprehensive solutions that not only address the challenge at hand, but proactively plan for the "What's Next" in our industry and beyond.
With a culture centered on innovation and entrepreneurial spirit, BTS stands as a community of technology leaders with eyes toward the future - leaders who truly care about growing not only their team members, but themselves, and take pride in their employees who shine. BTS offers endless ways to get involved and have the chance to grow your career into a wide range of roles you'd never known existed. Come join us as we push forward into the future of industry leading technological solutions.
Berkley Technology Services: Right Team, Right Technology, Simple and Secure.
Responsibilities
The Sr. AI Engineer is focused on building, testing, and operating AI-enabled features and services. Senior AI Engineers deliver production code: implementing services and agentic workflows, wiring up retrieval-augmented generation (RAG) pipelines, integrating with web applications, and instrumenting systems for reliability, security, and cost.
  • Build Python services and microservices (APIs, workers) that expose AI capabilities; write clean, tested, maintainable code.
  • Implement end-to-end RAG pipelines: connectors, parsing, chunking, embeddings, indexing, and retrieval using Azure AI Search and/or Pinecone.
  • Create and operate agentic workflows with LangGraph, n8n, or Agent Development Kit; iterate on prompts/flows and automate offline/online evaluations
  • Integrate AI into web applications (REST/GraphQL, events) with attention to input/output validation, rate limiting, and graceful degradation.
  • Own CI/CD and containerization for your services; add telemetry (logs/metrics/traces), dashboards, and alerts; participate in on-call/incident response
  • Apply Responsible AI, data protection, and access controls; contribute guardrails (filters, red-teaming, PII handling) in code.
  • Collaborate with analysts, QA, and product owners to refine requirements; demo increments and incorporate feedback in an agile cadence

Qualifications
  • 5+ years of professional software engineering experience.
  • 3+ years of hands-on applied AI/LLM engineering delivering agentic AI production systems.
  • Proficiency in Python and modern engineering practices (testing, linting, typing, packaging, CI).
  • Experience with Cloud AI platforms like Azure AI Foundry, GCP Vertex and AWS Bedrock.
  • Hands-on experience with vector databases and search algorithms.
  • Solid experience with containers and CI/CD; practical AI observability (logs/metrics/traces) and production support mindset.
  • Developed multi-agent systems using MCP and A2A technologies.
  • Hands on experience with Agentic AI development tools like Cursor, Claudecode and Github copilot.
  • Clear, concise communicator able to collaborate with analysts, QA, architects, and business stakeholders.
  • Experience with AI Observability in platforms like Datadog and Langsmith.
  • Bachelor's degree with emphasis in related field or equivalent experience.

Qualifications that are not required but are a plus
  • Familiarity with knowledge graphs (e.g., Neo4j) and graph queries (e.g., Cypher)
  • Experience leveraging and training NLP models
  • Experience fine-tuning LLMs and VLMs
  • Experience with LLM evaluation frameworks like DeepEval and RAGAs

Additional Company Details
We do not accept unsolicited resumes from third party recruiting agencies or firms.

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