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Gen Ai Software Developer Jobs in Delaware (NOW HIRING)

Judge Group, Inc.

Software Engineer

Wilmington, DE · On-site

$73 - $78/hr

Software Engineer, Full Stack (Java/React) We are not accepting C2C or 1099 arrangements. Location ... Vertex AI * GenAI Technologies * CI/CD & DevOps Tools This opportunity is ideal for a hands-on full ...

J.P. Morgan

Software Engineer III - Databricks

Wilmington, DE · On-site

$55.75 - $75/hr

As a Software Engineer III - Databricks at JPMorgan Chase within the Corporate Sector's Enterprise ... Leverages enterprise-authorized AI coding assist tools within the work environment to improve code ...

Athena LLC

Work cross-functionally with product and software engineers to implement AI solutions into the Athena platform. Communicate technical findings and iterate on solutions based on user feedback.

J.P. Morgan

Lead Software Engineer

Wilmington, DE · On-site

As a Lead Software Engineer at JPMorgan Chase within the Corporate Technology, you are an integral ... Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work ...

JP Morgan Chase

Lead Software Engineer

Wilmington, DE · On-site

As a Lead Software Engineer at JPMorgan Chase within the Corporate Technology, you are an integral ... Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work ...

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Gen Ai Software Developer information

What is a Gen AI software developer?

A Gen AI Software Developer is a professional who designs, builds, and maintains software systems that leverage generative artificial intelligence models, such as large language models (LLMs) or generative adversarial networks (GANs). Their work often involves training, fine-tuning, and deploying AI models to generate content, automate tasks, or enhance user experiences in applications. They need strong programming skills, a solid understanding of machine learning principles, and familiarity with AI frameworks. Gen AI Software Developers collaborate with data scientists, engineers, and product teams to deliver innovative AI-driven solutions. As generative AI becomes more prevalent, these developers play a key role in shaping the future of software development.

What are the key skills and qualifications needed to thrive as a Gen AI software developer, and why are they important?

To thrive as a Gen AI Software Developer, you need strong programming skills (especially in Python), a background in computer science or a related field, and expertise in machine learning and deep learning principles. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (such as AWS or Azure), and knowledge of version control systems are typically required, along with certifications in AI or data science being advantageous. Creative problem-solving, collaboration, and effective communication help developers work across technical and non-technical teams and drive innovation. These skills ensure the development of robust, scalable AI solutions that address real-world needs and integrate seamlessly within organizations.

How do Gen AI software developers typically collaborate with data scientists and product managers during the development process?

Gen AI Software Developers regularly work alongside data scientists to translate machine learning models into scalable, production-ready applications. They collaborate closely with product managers to understand user requirements and ensure that AI-powered features align with business goals. This teamwork often involves participating in cross-functional meetings, iterative feedback cycles, and joint problem-solving sessions to address technical challenges and optimize model performance. Clear communication and a shared understanding of project objectives are essential for success in this collaborative environment.

What is the difference between Gen Ai Software Developer vs Machine Learning Engineer?

AspectGen Ai Software DeveloperMachine Learning Engineer
Required CredentialsBachelor's in CS, AI, or related; experience with AI frameworksBachelor's or higher in CS, Data Science, or related; strong programming skills
Work EnvironmentTech companies, startups, AI-focused teamsResearch labs, tech firms, AI/ML departments
Employer & Industry UsageAI product development, software solutionsModel development, data analysis, AI system deployment
Common Search & ComparisonFocuses on AI application development in softwareFocuses on building and optimizing ML models

While both roles involve AI and require programming skills, Gen Ai Software Developers primarily focus on creating AI-powered software applications, whereas Machine Learning Engineers specialize in designing, building, and optimizing machine learning models. The roles often overlap but differ in their core focus and typical work environments.

What are popular job titles related to Gen Ai Software Developer jobs in Delaware?

For Gen Ai Software Developer jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Gen Ai Software Developer jobs in Delaware look for?

The top searched job categories for Gen Ai Software Developer jobs in Delaware are:

What cities in Delaware are hiring for Gen Ai Software Developer jobs?

Cities in Delaware with the most Gen Ai Software Developer job openings:

Gen Ai Software Developer jobs near you

Software Engineer III - Databricks

JPMorgan Chase & Co.

Wilmington, DE • On-site

$135 - $195/hr

Other

Re-posted 9 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

72nd of 171 rated banks

Job description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III - Databricks at JPMorgan Chase within the Corporate Sector's Enterprise Technology team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities
  • Provides technical leadership across design, development, and troubleshooting for complex, multi-domain solutions; establish engineering standards and best practices for the team
  • Writes secure, high-quality code in Python and/or Java; conducts reviews and mentors engineers to raise code quality and maintainability
  • Builds data pipelines using Databricks ETL
  • Builds and productionizes cloud-based ML pipelines; drive model deployment and operationalization in collaboration with Data Science and SRE/Platform teams
  • Owns MLOps workflows; coordinates infrastructure and production changes with SRE; ensures resiliency, observability, and security across the ML lifecycle
  • Applies SDLC tooling and automation to improve delivery velocity and reliability; champion CI/CD and cloud-native best practices
  • Partners with Product Owners and business stakeholders to translate requirements into scalable solutions aligned to CCB Finance objectives
  • Fosters a team culture of diversity, opportunity, inclusion, and respect; model proactive learning in AI/ML and emerging technologies
  • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 3+ years applied experience
  • Hands‑on experience in software engineering, system design, application development, testing, and operational stability
  • Proficiency in Python; strong grounding in secure data practices
  • Hands‑on Databricks experience across Delta Lake, Unity Catalog, Workflows, Repos/notebooks, and SQL Warehouses, including cluster configuration and optimization
  • Cloud engineering experience building ML pipelines and deploying models to production with AWS services such as ECS, EMR, Lambda, EC2, SageMaker
  • Experience with PySpark, Kafka, Terraform, and Kubernetes for data processing, streaming, IaC, and container orchestration
  • Database experience with Oracle and/or Cassandra
  • Familiarity with CI/CD, application resiliency, security best practices, Agile/Scrum methodologies, and SDLC automation tools
  • Hands‑on experience using enterprise-authorized AI‑assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI‑generated outputs for correctness, performance, and security
  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices
Preferred qualifications, capabilities, and skills
  • Background with machine learning frameworks, MLOps practices, and end‑to‑end ML lifecycle management (feature pipelines, model registry, monitoring, drift detection)
  • Experience with the Python ML ecosystem (pandas, NumPy) and platforms such as Databricks for data engineering and model development at scale
  • Experience with ERWIN for data modeling
  • Familiarity with TensorFlow
  • Familiarity with data modeling and query optimization
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