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Temporary Software Developer Ai Trainer Jobs in Delaware

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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Temporary Software Developer Ai Trainer information

What is the difference between Temporary Software Developer Ai Trainer vs Temporary Data Scientist?

AspectTemporary Software Developer Ai TrainerTemporary Data Scientist
Required CredentialsBachelor's in CS or related field, experience with AI/MLBachelor's or higher in CS, statistics, or related field, experience with data analysis
Work EnvironmentTech companies, AI startups, R&D labsResearch institutions, tech firms, analytics departments
Employer & Industry UsageUsed in AI development projects, machine learning teamsUsed in data analysis, predictive modeling, research projects

Temporary Software Developer Ai Trainers focus on developing and training AI models, often working closely with machine learning teams. Temporary Data Scientists analyze data to extract insights and build predictive models. While both roles require technical skills and familiarity with data and algorithms, the Software Developer Ai Trainer emphasizes AI model training, whereas Data Scientists focus on data analysis and interpretation.

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AI & Platform Software Engineer

Luxoft

Wilmington, DE • On-site

$110 - $150/hr

Other

Posted 12 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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