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Software Developer Ai Trainer Jobs in Delaware (NOW HIRING)

Luxoft

AI & Platform Software Engineer

Wilmington, DE · On-site

$110 - $150/hr

... Developer Experience organization (SDLC automation and tooling, quality engineering and test data ... Certifications or demonstrated training in cloud engineering, AI engineering, DevOps, SRE, or ...

JPMorgan Chase & Co.

$140 - $190/hr

As a Lead Software Engineer - Python/React/AWS/AI at JPMorganChase within the Consumer and ... Formal training or certification on software engineering concepts and 5+ years applied experience

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Software Developer Ai Trainer information

What is a software developer AI trainer?

A Software Developer AI Trainer is responsible for training, testing, and improving AI models by providing high-quality data, refining algorithms, and ensuring accurate outputs. They work closely with developers, data scientists, and machine learning engineers to enhance AI applications. This role involves analyzing model performance, labeling data, writing code for automation, and fine-tuning AI systems to improve accuracy and efficiency.

What are the key skills and qualifications needed to thrive as a software developer AI trainer?

To thrive as a Software Developer AI Trainer, you need a solid background in programming (such as Python, Java, or C++), experience with machine learning concepts, and often a relevant degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch and data annotation tools is highly beneficial, and certifications in AI or data science can further strengthen your profile. Strong analytical thinking, communication skills, and a collaborative mindset set standout candidates apart in this role. These skills are essential for effectively developing, improving, and deploying AI models while working cross-functionally with engineers and data scientists.

What types of projects do software developer AI trainers typically work on?

Software Developer AI Trainers commonly work on projects involving the design, training, and optimization of AI models for tasks such as natural language processing, image recognition, or data analysis. They collaborate closely with software engineers, data scientists, and product teams to ensure that AI models are accurate, reliable, and efficient in real-world applications. Daily responsibilities might include curating and labeling datasets, evaluating model performance, and implementing feedback loops to refine results. This collaborative, project-driven environment provides opportunities to work on cutting-edge technology and directly impact product innovation and usability.

What are the most commonly searched types of Software Developer Ai Trainer jobs in Delaware?

The most popular types of Software Developer Ai Trainer jobs in Delaware are:

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

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

Software Developer Ai Trainer jobs near you
Infographic showing various Software Developer Ai Trainer job openings in Delaware as of August 2026, with employment types broken down into 1% Internship, 83% Full Time, 11% Part Time, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

AI & Platform Software Engineer

Luxoft

Wilmington, DE • On-site

$110 - $150/hr

Other

Posted 13 days ago

Job description

Project description

Client is building its enterprise GenAI capability across two closely partnered organizations: the GenAI Platform & Enablement organization (governed AI gateway on Azure API Management, model access via Azure AI Foundry today with a deliberately venue-agnostic design, model integrations, retrieval services, environments, observability) and the Developer Experience organization (SDLC automation and tooling, quality engineering and test data management, site reliability engineering). Because the engineering foundations overlap heavily, all Software Engineer III openings across both organizations are filled through this single posting: candidates are evaluated once against a common engineering bar, then routed to the track and team where their depth fits best.Every seat is hands-on. Engineers design, build, test, document, and operate; FTE seats additionally carry track ownership, contractor review, and production deployment under the bank’s controlled-change model, while contractor seats (18 months, extension possible, contract-to-hire in intent) carry the front-loaded build with capability transfer written in.


Responsibilities

  • Design, build, test, and operate production capabilities hands-on, with documentation and evidence by default.

  • Leverage GenAI capabilities in your own engineering workflow — coding assistants, agent-based automation, AI-assisted testing and debugging — to accelerate delivery, including SDLC automation opportunities.

  • Work within the bank’s SDLC gates, security standards, and separation-of-duties model; produce the artifacts and evidence each gate requires.

  • Partner across governance, architecture, cybersecurity, and application teams; communicate clearly with technical and business audiences.

  • Pair for capability transfer — FTEs with contractor counterparts, contractors with FTE track owners — so knowledge stays when engagements end.

  • Participate in support rotations for live workloads with incident triage and root-cause discipline.


SKILLS
Must have

  • SE III (61 IC): Associate’s + 7 years or Bachelor’s + 5 years systems analysis/application development experience (or combined 9 years).

  • SE II (60 IC): Associate’s + 5 years or Bachelor’s + 3 years equivalent experience (or combined 7 years).

  • Strong software engineering fundamentals: architecture, API design, integration patterns, secure coding, testing, CI/CD, and operational support.

  • Hands-on experience with GenAI models and AI-assisted development workflows (coding assistants, prompt engineering, RAG/context engineering, or agent-based automation).

  • Hands-on Azure experience relevant to the target track (e.g., APIM, Entra ID, Key Vault, Azure AI services including Azure AI Foundry, Azure Monitor, IaC tooling) — current stack is Azure AI Foundry + APIM, with the platform designed to extend to additional venues and tools (e.g., AWS Bedrock, Google Vertex, direct provider APIs) without rework.

  • Experience delivering and operating production systems in a controlled-change environment.

  • Strong communication, collaboration, documentation, and stakeholder engagement skills.


Nice to have

Demonstrated depth in one or more tracks above — candidates are routed by strongest track fit across both organizations. Financial services or other highly regulated industry experience; familiarity with audit-evidence expectations. Experience with GitLab Duo, Azure AI Foundry, Copilot Studio, Dynatrace, Delphix, or comparable track-relevant tooling. Certifications or demonstrated training in cloud engineering, AI engineering, DevOps, SRE, or related disciplines.

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