Artificial Intelligence Applications

Artificial Intelligence Applications Engineer Jobs

4 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 building AI capabilities that help creative professionals go from ideas to high-quality outcomes, and this role sits on the Brand AI Services team supporting that mission. As a Staff Machine Learning Engineer, you will design and deliver production-grade multimodal and agentic generative AI systems powering Adobe Firefly AI Assistant and Creative Cloud workflows in high-traffic environments.

This position focuses on scaling the full machine learning lifecycle, from problem formulation through modeling, evaluation, deployment, monitoring, and iteration. You will also provide technical leadership, mentor engineers, and partner across engineering, product, design, and research to translate customer needs into effective ML solutions.

What you’ll do

Lead the design, development, and deployment of multimodal and generative AI systems spanning vision, language, and other 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 complete complex multi-step creative workflows.
Create intelligent capabilities for Firefly AI Assistant and Creative Cloud workflows that help users move from intent and ideas to high-quality creative outcomes.
Develop scalable services and APIs that integrate AI and machine learning capabilities into Adobe products.
Drive the end-to-end ML lifecycle, including problem formulation, modeling, experimentation, evaluation, deployment, monitoring, and iteration.
Collaborate with engineering, product, design, and research teams to turn customer needs into effective ML solutions.
Improve performance, scalability, reliability, and quality of AI systems running in production.
Provide technical leadership and mentor engineers to raise the engineering and machine learning bar across the team.
Identify new opportunities to apply generative and agentic AI to real-world challenges for creative professionals and enterprise customers.

Required qualifications

MS or PhD in Computer Science, Machine Learning, or related field, or equivalent practical experience.
5+ years of experience building and deploying machine learning systems in production.
Hands-on experience designing and building agentic AI systems, including areas such as tool use, agent orchestration, multi-step workflows, planning and reasoning, retrieval, memory, or 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.
Solid foundation in probability, statistics, machine learning, and model evaluation.
Proficiency in Python and experience with machine learning 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 and containerization and orchestration technologies such as Docker and Kubernetes.
Familiarity with modern AI-assisted development tools and workflows, including ChatGPT, Claude, Cursor, or similar tools, and experience using them 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.

Location and compensation

Location: San Jose, CA (onsite)
Expected U.S. pay range: $172,500 - $306,625 per year
California pay range: $211,800 - $306,625 per year

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Today

Lead AI Engineer

EPAM Systems, Inc. New York, NY

New York, NY

Today

$145k - $180k/yr Full time Manager Agentic Ai Agentic Ai Orchestration

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Job Description

EPAM Systems, Inc. is seeking a Lead AI Engineer to design and deploy production-grade Agentic AI solutions for insurance workflows. The role focuses on end-to-end ownership of the AI lifecycle, including evaluation, monitoring, and continuous performance improvements, in close collaboration with brokers, underwriters, and operations teams.

Responsibilities

Design, develop, and deploy production-grade Agentic AI solutions that automate complex insurance workflows to reduce turnaround times and improve operational productivity
Build enterprise-scale AI-powered applications using LLMs, Retrieval-Augmented Generation (RAG), document processing, information extraction, classification, and agent-based architectures
Own the AI product lifecycle from ideation and rapid prototyping through deployment, monitoring, and ongoing performance improvement
Create robust AI evaluation frameworks covering testing, monitoring, performance measurement, and hallucination detection to support production-level reliability
Partner with brokers, underwriters, and operations teams to identify high-impact AI adoption opportunities and translate business needs into scalable solutions
Mentor engineers, promote modern AI development best practices, and research emerging technologies to advance the platform’s capabilities

Requirements

5 to 8+ years of experience in Software Engineering, AI/ML, or related domains; Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience
Strong proficiency in Python, with proven ability to build and deliver AI-powered products end to end from concept through production deployment
Hands-on experience with Large Language Models, Retrieval-Augmented Generation, information extraction, document understanding, classification models, and agentic AI workflow design
Solid foundation in cloud platforms, Docker containerization, CI/CD pipelines, monitoring and observability, and secure data handling in production-grade environments
Experience with API design, system design, and full-stack application development; working knowledge of TypeScript or Node.js as a complementary skill
Strong analytical, problem-solving, and communication skills, including the ability to explain complex AI concepts and trade-offs to non-technical business stakeholders

Technologies

Python
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Docker
CI/CD pipelines
TypeScript
Node.js
Document processing
Information extraction
Classification models
Agent-based architectures
Agentic AI workflow design
Cloud platforms

Benefits

Medical, Dental and Vision Insurance (Subsidized)
Health Savings Account
Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
Short-Term and Long-Term Disability (Company Provided)
Life and AD&D Insurance (Company Provided)
Employee Assistance Program
Unlimited access to LinkedIn learning solutions
Matched 401(k) Retirement Savings Plan
Paid Time Off
Legal Plan and Identity Theft Protection
Accident Insurance
Employee Discounts
Pet Insurance
Employee Stock Purchase Program

Compensation and Location

Location: New York, NY (onsite)
Salary range: USD 145,000 - 180,000 per year (base salary)
Compensation within the range may vary based on geographic location, experience, credentials, education, training, demand for the role, and overall business and labor market considerations

Work Authorization

EPAM will not provide new H-1B visa sponsorship for this position; candidates with existing transferable H-1B status may be considered

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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

Senior Software Engineer role building and improving a Medical Billing Automation SaaS platform that combines Python, AI/LLMs, and EDI.

Responsibilities

Own backend development in Python, including reliable integration with AI models, LLMs, and EDI to automate complex billing workflows.
Design and implement scalable microservices on cloud infrastructure (including AWS or Azure) for high-volume data processing.
Build and evolve RESTful APIs and web services so internal components and external systems communicate effectively.
Create user-facing interfaces and improve billing workflow usability using React, Angular, or similar frameworks.
Apply system design and database modeling to develop efficient schemas using SQL Server, PostgreSQL, or MySQL, plus MongoDB when appropriate.
Use unit testing, integration testing, and debugging practices to deliver quality software aligned with SDLC standards.
Participate in Agile delivery using Scrum or Kanban (sprint planning, stand-ups, and continuous improvement).

Requirements

Extensive experience with Python for backend development and AI integration.
Strong knowledge of AI and practical application of Large Language Models (LLMs) for automation solutions.
Proficiency with EDI standards and protocols for healthcare data exchange.
Expert-level Python for ETL/ELT pipelines 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 cloud data warehouse experience with Snowflake; familiarity with dbt or similar transformation tooling.
Disciplined testing and 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.

Technologies

Python, AI, LLMs, EDI, AWS, Azure
RESTful APIs
React, Angular
SQL Server, PostgreSQL, MySQL, MongoDB
pandas, pydantic, SQLAlchemy
Prefect, Airflow, Dagster, Snowflake, dbt
pytest, GitHub Actions, Docker
Scrum, Kanban, Git-based code review

Benefits

401(k)
Dental insurance
Health insurance
Vision insurance

Location and schedule

Hybrid remote in Buffalo, NY
Occasional travel: a few days per quarter at most
Note indicates occasional travel to the “come in East Dallas” area

Additional details

Reports directly to the CTO with direct interaction of the Founder / CEO
No work sponsorship or relocation assistance is offered

Pay

$130,000 - $160,000 per year (USD)

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1d ago

AI engineer

WRITER San Francisco, CA

San Francisco, CA

1d ago

$198k - $259k/yr Full time Agentic Ai Ai Agent Ai Engineer

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Job Description

In this hybrid AI engineering role at WRITER, you will design, build, and deploy production-grade AI systems and AI agents that improve scalability, performance, and ethical alignment of large language models using enterprise data. The position reports to the head of AI engineering.

Location and Work Setup

San Francisco, CA (hybrid)

Compensation

USD 198,000 - 259,000 per year

Key Responsibilities

Architect, develop, and deploy high-performance, scalable AI applications into production environments with robust integrations into the end-to-end platform.
Build intelligent agents and AI-powered features by translating complex research into practical solutions for customers.
Work closely with research scientists, data scientists, and product managers to define technical requirements and deliver features aligned to business needs.
Support research and evaluation of emerging AI technologies, frameworks, and tools to maintain leadership in enterprise generative AI.
Promote responsible AI practices, including bias detection, explainability, and safety alignment, to keep AI trustworthy and ethical.

Required Qualifications

5+ years of professional experience building and deploying machine learning or AI systems in production.
Proficiency in Python and experience with AI/ML frameworks including PyTorch, TensorFlow, or JAX.
Strong foundation in machine learning principles, deep learning architectures, and natural language processing, with particular focus on large language models.
Experience with cloud platforms such as AWS, GCP, or Azure, and with MLOps tools to manage the AI lifecycle.
Ability to write clean, efficient, and well-tested code for scalable software systems.
Exceptional problem-solving skills and a strong interest in addressing complex technical challenges through creative AI solutions.
Collaboration across teams, commitment to innovation, and ownership of projects with an emphasis on impact and excellence.

Technologies

Python
PyTorch
TensorFlow
JAX
AWS
GCP
Azure

Benefits

Generous PTO plus company holidays
Medical, dental, and vision coverage for you and your family
Paid parental leave for all parents (16 weeks)
Fertility and family planning support
Early-detection cancer testing through Galleri
Flexible spending account and dependent FSA options
Health savings account for eligible plans with company contribution
Annual work-life stipends for wellness (gym, massage/chiropractor, personal training, etc.)
Annual work-life stipend for learning and development
Company-wide off-sites and team off-sites
Competitive compensation, company stock options, and 401k

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Artificial Intelligence Applications Engineer Jobs

Staff Machine Learning Engineer

Lead AI Engineer

Senior Software Engineer - ai automation medical billing platform

AI engineer

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