Artificial Intelligence Applications

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2 jobs found

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 in New York, NY (onsite) to lead production-grade Agentic AI for insurance workflows.

Responsibilities

Design, develop, and deploy production-grade Agentic AI solutions that automate complex insurance workflows to reduce turnaround time and improve operational productivity
Build AI-powered applications using LLMs, RAG, document processing, information extraction, classification, and agent-based architectures at enterprise scale
Own the end-to-end AI product lifecycle, from ideation and rapid prototyping through deployment, monitoring, and continuous performance improvements
Create robust AI evaluation frameworks including testing, monitoring, performance measurement, and hallucination detection for production-level reliability
Partner with brokers, underwriters, and operations teams to identify high-impact AI adoption opportunities and translate business challenges into scalable solutions
Mentor engineers, reinforce modern AI development best practices, and research emerging technologies to advance platform intelligence

Requirements

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

Technology Stack

Python
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Docker
CI/CD pipelines
TypeScript
Node.js
LLMs, document processing, information extraction, classification models
Agent-based architectures and 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

Salary and Compensation

Salary range: $145,000 - $180,000 per yearly
Range reflects base salary only
Compensation offers may vary based on factors including geographic location, experience, credentials, education, training, role demand, and business/labor market considerations
Most candidates are hired within the disclosed range
Other expected compensation and benefits are described generally in this posting

Visa Information

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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Today

AI engineer

WRITER San Francisco, CA

San Francisco, CA

Today

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

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Job Description

WRITER is seeking an AI engineer to architect, build, and deploy production AI solutions and AI agents grounded in enterprise data. This hybrid role is based in San Francisco, with additional hybrid options in New York City or Seattle, and reports to the head of AI engineering.

Key Responsibilities

Architect, develop, and deploy high-performance, scalable AI applications into production, with robust integrations across the end-to-end platform.
Build intelligent agents and AI-powered features, translating research into practical solutions for customers.
Work with research scientists, data scientists, and product managers to define technical requirements and deliver features tied to critical business needs.
Participate in the research and evaluation of emerging AI technologies, frameworks, and tools to support leadership in enterprise generative AI.
Support responsible AI practices, including bias detection, explainability, and safety alignment, to help ensure systems are 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 such as PyTorch, TensorFlow, or JAX.
Strong foundation in machine learning principles, deep learning architectures, and natural language processing, with particular experience related to large language models.
Experience with cloud platforms, including AWS, GCP, or Azure, and with MLOps tools for managing the AI lifecycle.
Ability to write clean, efficient, well-tested code for scalable software systems.
Strong problem-solving skills and interest in solving complex technical challenges using creative AI approaches.
Demonstrated collaboration across diverse teams, willingness to challenge the status quo to innovate, and ownership of projects with a focus on impact and excellence.

Technologies

Python
PyTorch
TensorFlow
JAX
AWS
GCP
Azure

Compensation and Location

Location: San Francisco, CA (hybrid) with hybrid options in New York City or Seattle.

Compensation: USD 198,000 - 259,000 per year.

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 stipends 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 Data Jobs

Lead AI Engineer

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