ZipRecruiter

Log In

1

Python Llm Jobs in Delaware (NOW HIRING)

JPMorgan Chase & Co.

$150 - $200/hr

As a Lead Software Engineer-Python, AWS, Big Data at JPMorgan Chase within the Corporate Technology ... Training in Generative AI solutions like NLP & LLM Models * Demonstrated experience leading ...

Photon

Lead AI Engineer | Onsite - Delaware

Wilmington, DE · On-site

$99K - $131K/yr

Strong, hands-on Python skills at an architectural/systems level. * Proven experience architecting LLM API integrations and SDK-level abstractions across multiple providers. * Demonstrated judgment ...

Photon

Lead AI Engineer | Onsite - Delaware

Wilmington, DE · On-site

$99K - $131K/yr

Strong, hands-on Python skills at an architectural/systems level. * Proven experience architecting LLM API integrations and SDK-level abstractions across multiple providers. * Demonstrated judgment ...

SCI SOLUTIONS GLOBAL

Java Developer

Wilmington, DE

$50 - $60/hr

Advanced proficiency in one or more languages such as Python or Java. * Understanding of CI/CD, TDD ... Familiarity with modern LLM techniques and practical LLM use case development on OpenAI Azure.

next page

Showing results 1-20

All JobsPython Llm JobsPython Llm Jobs in Delaware

Python Llm information

What is a Python LLM?

A Python LLM job involves working with Large Language Models (LLMs) using Python to develop, fine-tune, and deploy AI models. Responsibilities may include data preprocessing, prompt engineering, model optimization, and integration with applications. Professionals in this role often work with frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. They may also contribute to improving model efficiency, reducing bias, and ensuring ethical AI usage.

What are the key skills and qualifications needed to thrive in the Python LLM position, and why are they important?

To excel as a Python LLM (Large Language Model) Engineer, you need strong skills in Python programming, machine learning, and natural language processing, typically supported by a degree in computer science or a related field. Proficiency with libraries such as TensorFlow, PyTorch, Hugging Face Transformers, and experience with model deployment platforms are often essential, alongside certifications in AI or data science. Effective communication, problem-solving abilities, and collaboration are important soft skills for working in interdisciplinary teams and delivering results in dynamic environments. These skills ensure the development, fine-tuning, and deployment of advanced language models that meet both technical and business objectives.

What are some common challenges faced by Python LLM engineers in their daily work?

Python LLM Engineers often encounter challenges related to optimizing model performance, managing large datasets, and adapting models to specific business needs. Working with large-scale language models requires balancing computational resource limitations with the need for high accuracy and efficiency. Collaboration with data scientists, product managers, and DevOps engineers is routine to ensure seamless model integration and deployment. Staying updated on the latest advancements in NLP and continuously improving models based on user feedback are also important aspects of the role.

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

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

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

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

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

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

What cities in Delaware are hiring for Python Llm jobs?

Cities in Delaware with the most Python Llm job openings:

Python Llm jobs near you

Senior Python Full Stack Engineer - Agentic AI

Wilmington, DE • On-site

Whiz Global LLC
IT Services • 51 - 200 employees
Learn more about Whiz Global LLCexternal

Other

Posted 28 days ago

Job description

Senior Python Full Stack Engineer – Agentic AI

Location: Wilmington, DE
Duration: Contract
Work Model: Hybrid/Onsite as required
Experience: 7+ YearsJob Overview

We are seeking a Senior Python Full Stack Engineer with Agentic AI experience to join the CCB Digital – Connected Banking team. The engineer will work on modern SaaS platforms that are customer-facing and integrate with internal enterprise systems.

The team is actively building AI-powered agents to solve business use cases and improve software development and platform capabilities. The ideal candidate is a strong hands-on software engineer who can contribute to architecture and design discussions, perform code reviews, and develop scalable, production-quality applications.

This is an individual contributor role, not a people-management position.

Key Responsibilities

  • Design, develop, test, and maintain scalable full-stack applications using Python.

  • Build and integrate AI agents and Agentic AI capabilities into enterprise applications.

  • Work with technologies such as MCP (Model Context Protocol), Google ADK, and other AI-agent frameworks/tools.

  • Develop applications and services that integrate with AI agents and LLM-based solutions.

  • Participate in architecture, technical design, and code review discussions.

  • Develop scalable REST APIs and microservices.

  • Build cloud-native applications using AWS and containerized environments.

  • Develop and maintain applications deployed on Kubernetes/Docker platforms.

  • Work with Kafka/event streaming technologies for asynchronous and distributed systems.

  • Design and implement solutions using NoSQL databases.

  • Implement and maintain CI/CD pipelines and automated deployment processes.

  • Write comprehensive unit, integration, and automated tests.

  • Monitor applications and troubleshoot production issues using tools such as Splunk and Dynatrace.

  • Implement application monitoring, alerting, logging, and observability capabilities.

  • Apply AI-assisted development and code optimization techniques to improve developer productivity and accelerate delivery.

  • Collaborate with architects, product owners, developers, and other engineering teams in an Agile environment.

  • Ensure solutions meet enterprise standards for security, scalability, reliability, and performance.

Required Skills & Qualifications

  • 7+ years of professional software engineering experience.

  • Strong hands-on experience with Python development.

  • Strong experience in full-stack software development.

  • Experience building REST APIs, microservices, and cloud-native applications.

  • Hands-on experience with Agentic AI / AI Agents / Generative AI.

  • Experience with one or more of:

    • MCP (Model Context Protocol)

    • Google ADK

    • AI Agent frameworks

    • LLM integrations

    • Applications designed to interact with AI agents

  • Strong experience with AWS is preferred.

  • Experience with Kubernetes and Docker/containerization.

  • Experience with Kafka or other streaming/event-driven technologies.

  • Experience with NoSQL databases such as DynamoDB, MongoDB, Cassandra, or similar.

  • Strong understanding of CI/CD and DevOps practices.

  • Experience with automated testing and unit testing frameworks.

  • Experience with application monitoring and observability tools such as Splunk, Dynatrace, or similar.

  • Strong understanding of software design, development best practices, and scalable architecture.

  • Experience participating in code reviews and technical design discussions.

  • Strong problem-solving and communication skills.

Preferred Qualifications

  • Experience with AWS cloud services and cloud-native architecture.

  • Experience developing event-driven and distributed systems.

  • Experience with LLM-based application development and AI-powered business solutions.

  • Experience using AI coding assistants/tools for code optimization and developer productivity.

  • Experience with enterprise SaaS platforms.

  • Experience working in large-scale financial services or banking environments.

  • Experience with Agile/Scrum development methodologies.

Ideal Candidate Profile

The ideal candidate is a Senior-level hands-on engineer who combines strong Python/full-stack development skills with modern cloud and AI expertise. Candidates should be comfortable working independently, reviewing code, contributing to technical design decisions, and building production-ready applications involving AI Agents and Agentic AI.

Key Technologies:
Python | Agentic AI | AI Agents | MCP | Google ADK | AWS | Kubernetes | Docker | Kafka | NoSQL | CI/CD | REST APIs | Splunk | Dynatrace | Automated Testing

 

Apply