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Artificial Intelligence Applications Developer Jobs

2 jobs found

Today

Staff Machine Learning Engineer

Adobe San Jose, CA

San Jose, CA

Today

$173k - $307k/yr Full time Agentic Ai Ai Agent Ai Ml

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Job Description

Adobe is hiring a Staff Machine Learning Engineer for its Brand AI Services team in San Jose, CA (onsite).

Responsibilities

Lead end-to-end design, development, and deployment of multimodal and generative AI systems across vision, language, and additional modalities
Build and productionize generative AI models and systems, including transformers, diffusion models, LLMs, and vision-language models (VLMs) for content creation, understanding, and transformation
Develop agentic AI systems that can reason, use tools, interact with models and services, and execute complex multi-step creative workflows
Create intelligent capabilities for Firefly AI Assistant and Creative Cloud workflows to help creative professionals move from intent and ideas to high-quality outcomes
Develop scalable services and APIs that integrate AI and machine learning capabilities into Adobe products
Drive the full ML lifecycle: problem formulation, modeling, experimentation, evaluation, deployment, monitoring, and iteration
Partner with engineering, product, design, and research teams to translate customer needs into effective ML solutions
Improve performance, scalability, reliability, and quality for AI systems in high-traffic production environments
Provide technical leadership and mentor engineers to raise the engineering and machine learning bar across the team
Identify opportunities to apply generative and agentic AI to real-world challenges for creative professionals and enterprise customers

Requirements

MS or PhD in Computer Science, Machine Learning, or a related field, or equivalent practical experience
5+ years building and deploying machine learning systems in production
Hands-on experience designing and building agentic AI systems, including tool use and agent orchestration, multi-step workflows, planning and reasoning, retrieval, memory, and human-in-the-loop systems
Experience with agent interoperability and tool integration, including Model Context Protocol (MCP), function/tool calling, or similar frameworks and protocols
Expertise in computer vision, generative AI, and/or multimodal machine learning, with hands-on experience using modern architectures such as transformers, diffusion models, LLMs, or VLMs
Strong foundation in probability, statistics, machine learning, and model evaluation
Proficiency in Python and experience with ML frameworks such as PyTorch
Experience designing and building scalable APIs, distributed services, or production ML infrastructure
Strong software engineering fundamentals, including data structures, algorithms, testing, code quality, and code reviews
Experience with cloud platforms such as AWS or Azure, plus containerization and orchestration such as Docker and Kubernetes
Familiarity with modern AI-assisted development tools and workflows, including ChatGPT, Claude, Cursor, or similar tools, used for development, experimentation, or productivity

Technologies

Python, PyTorch
Transformers, diffusion models, LLMs, VLMs
Model Context Protocol (MCP), function/tool calling
AWS, Azure
Docker, Kubernetes
ChatGPT, Claude, Cursor

Nice to Have

Experience building production agentic AI platforms or multi-agent systems, including agent evaluation, observability, reliability, or safety
Experience with multimodal learning across video, audio, or 3D data
Background in video understanding or generation, temporal modeling, or streaming ML systems
Experience fine-tuning, adapting, or optimizing large-scale foundation models
Knowledge of AI evaluation, safety, and responsible AI practices
Experience with agent frameworks, orchestration platforms, retrieval systems, or enterprise knowledge integration
Experience building AI-powered tools or workflows for creative professionals, content creation, or creative applications
Contributions to research, open-source projects, or applied machine learning innovation

Interview AI Use Guideline

The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation

Pay Range

U.S.: $172,500 - $306,625 annually
California: $211,800 - $306,625 annually

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1d ago

Senior Software Engineer - ai automation medical billing platform

Relentless Talent Buffalo, NY

Buffalo, NY

1d ago

$130k - $160k/yr Full time Backend Developer Python APIs

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Job Description

Relentless Talent is hiring a Senior Software Engineer for a hybrid role in Buffalo, NY (with occasional travel). You’ll work on a Medical Billing Automation SaaS platform, enhancing backend systems that connect Python, AI/LLMs, and EDI to automate complex billing workflows. The role reports directly to the CTO, with opportunities for direct interaction with the Founder/CEO.

What you’ll get

Salary: $130,000 - $160,000 per year
Hybrid location: Buffalo, NY (hybrid), with a few days per quarter at most
401(k)
Health insurance
Dental insurance
Vision insurance

Responsibilities

Lead development of backend systems in Python, supporting robust integration with AI models, LLMs, and EDI to automate complex billing tasks
Design and implement scalable microservices architectures using AWS or Azure for high-volume data processing
Collaborate with cross-functional teams to build RESTful APIs and web services that enable communication between internal components and external systems
Build user-facing experiences using React, Angular, or similar front-end frameworks to support billing workflow usability
Apply system design and data modeling to create efficient database schemas in SQL Server, PostgreSQL, or MySQL, and support MongoDB when appropriate
Implement rigorous testing and debugging practices (including unit and integration testing) aligned with SDLC standards
Participate in Agile execution using Scrum or Kanban, including sprint planning and stand-ups

Requirements

Extensive experience with Python for backend development and AI integration
Strong knowledge of AI technologies, including Large Language Models (LLMs), for automation use cases
Proficiency with EDI standards and protocols for healthcare data exchange
Expert Python capability for ETL/ELT and automation, including pandas, pydantic, and SQLAlchemy
Production experience with a workflow orchestration platform such as Prefect, Airflow, or Dagster
Strong SQL skills across SQL Server and PostgreSQL, plus familiarity with cloud data warehouses such as Snowflake and transformation tooling like dbt
Disciplined delivery practices, including pytest (or equivalent), GitHub Actions (or similar CI), Docker, and Git-based code review
Working knowledge of cloud infrastructure and services, with Azure preferred
Effective, verified use of AI-assisted development tools as part of daily engineering practice

Notes on travel and support

This is a hybrid role with remote work and occasional travel. The company indicated occasional travel to the come in East Dallas, with a few days per quarter at most. No work sponsorship or relocation assistance is offered for this role.

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Artificial Intelligence Applications Developer Jobs

Staff Machine Learning Engineer

Senior Software Engineer - ai automation medical billing platform

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