Jobs in the United States

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Added 1 min ago
Sr Frontend Developer
Jobgether
Remote, United States
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr Frontend Developer based in the United States.
Added 4 mins ago
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Senior Applied Scientist
Oracle
Honolulu, HI
- $113,000 to $234,600 USD / year
Practical experience with the latest technologies in LLM and generative AI, such as parameter-efficient fine-tuning, instruction fine-tuning, and advanced prompt engineering techniques like…
Added 6 mins ago
Principal Engineer, Applied AI & Build Standards
Best Buy
Richfield, MN
Experience setting technical direction for a shared platform many engineering teams depend on, such as an API gateway or developer platform
Added 7 mins ago
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Senior Machine Learning Engineer - Applied Scientist
Microsoft
WA · CA · NY · Redmond, WA · Mountain View, CA · San Francisco, CA · Redmond · Mountain View · New York · San Francisco
- $119,800 to $261,000 USD / year
Design and operationalize LLM evaluation frameworks across the product development lifecycle, including early prototyping, model/prompt iteration, feature development, pre-launch…
Added 8 mins ago
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Senior Technical Program Manager, AI Content Capabilities
Microsoft
WA · NY · GA · Redmond, WA · Atlanta, GA · Redmond · New York · Atlanta
- $119,800 to $261,000 USD / year
Demonstrated experience shaping technical solutions with Engineering and Design, with fluency in APIs, application integrations, data and context management, and AI/LLM concepts.
Added 8 mins ago
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Research Intern - Speech Processing
Microsoft
WA · Redmond, WA · Redmond
- $6,810 to $14,610 USD / month
…audio generation, and multimodal with Large Language Models (LLM). As a Research Intern, you will have the opportunity to conduct both fundamental and applied research in collaboration with…
Added 9 mins ago
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Software Engineer II
Microsoft
WA · Redmond, WA · Redmond
- $102,100 to $219,200 USD / year
As a Software Engineer II in Agentic Engineering Productivity, you will build LLM-powered agents that turn intent into tested, reviewable changes, keep build pipelines and internal tools…
Added 31 mins ago
Director IT- Data Science & Analytics
MILWAUKEE ELECTRIC TOOL CORP
Menomonee Falls, WI
Added 32 mins ago
TT
Senior Software Engineer, Autonomous Systems
True Talent Solutions Partners
Palo Alto, CA
- $145,000 to $275,000 USD / year
- Develop AI- and LLM-enabled systems that support threat assessment and operational decisions.
Added 32 mins ago
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Senior Applied Scientist
Oracle
Lincoln, NE
- $113,000 to $234,600 USD / year
Practical experience with the latest technologies in LLM and generative AI, such as parameter-efficient fine-tuning, instruction fine-tuning, and advanced prompt engineering techniques like…
Added 48 mins ago
Senior AI Engineer – Claude & Databricks
Techstra Solutions
Pittsburgh, PA
…with governed enterprise data. The ideal candidate combines AI/LLM engineering, software development, and data engineering, and is comfortable taking solutions from architecture and…
Added 57 mins ago
Databricks Engineer & AI Enablement Architect - Data Engineer III
Deloitte US
Baltimore, MD · Rosslyn, VA · Washington, DC
…generative artificial intelligence (GenAI) and large language model (LLM) use cases for production…
Added 59 mins ago
Staff Software Engineer
Unity Technologies SF
Mountain View, CA
Added 1 hour ago
CyberArk Senior Consultant
Deloitte US
Atlanta, GA · Austin, TX · Baltimore, MD · Boston, MA · Charlotte, NC · Chicago, IL · Cincinnati, OH · Cleveland, OH · Colorado Springs, CO · Columbus, OH · Costa Mesa, CA · Dallas, TX · Davenport, IA · Denver, CO · Detroit, MI · Gilbert, AZ · Hartford, CT · Hermitage, TN · Houston, TX · Indianapolis, IN · Jacksonville, FL · Jericho, NY · Jersey City, NJ · Kansas City, MO · Lake Mary, FL · Las Vegas, NV · Los Angeles, CA · Louisville, KY · McLean, VA · Mechanicsburg, PA · Memphis, TN · Miami, FL · Milwaukee, WI · Minneapolis, MN · Morristown, NJ · Nashville, TN · New Orleans, LA · NY · Philadelphia, PA · Pittsburgh, PA · Portland, OR · Princeton, NJ · Raleigh, NC · Richmond, VA · Rochester, NY · Rosslyn, VA · San Antonio, TX · San Francisco, CA · Seattle, WA · Stamford, CT
Hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments.
Added 1 hour ago
Senior AI Product Manager
Jobgether
Remote, United States
Solid technical knowledge of LLM-based extraction, retrieval with cited sources, agent workflows, and human-in-the-loop approval processes, with the ability to translate business needs into…
Added 1 hour ago
Product Manager, Agents & Auto-Research
Bedrock Robotics Inc
San Francisco, CA · New York City, NY
- 5+ years in product, research or engineering roles, including shipping LLM agents or AI systems that people rely on in production.
Added 1 hour ago
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Staff Product Manager
True Talent Solutions Partners
New York, NY
- $180,000 to $250,000 USD / year
- Experience shipping core AI or LLM-based products into production in an AI-centric environment.
Added 1 hour ago
AWS Python- GenAI Developer *
CGI Technologies and Solutions, Inc.
Lafayette, LA
CGI is seeking a AWS Python- GenAI Developer to develop and support cloud native applications, automation capabilities, and enterprise integrations supporting a large scale Workday SaaS…
Added 1 hour ago
Senior Full Stack Developer
CGI Technologies and Solutions, Inc.
Lafayette, LA
We CGI is seeking an immediate need for a Senior Full Stack Developer to join our healthcare delivery team in one of our selected locations.
Added 1 hour ago
Senior AI/DevOps Engineer
CGI Technologies and Solutions, Inc.
Lafayette, LA
. Working knowledge of how LLM based systems function, and how to apply them effectively (not a requirement to build LLMs from scratch)
Added 1 hour ago
AWS Cloud Security Architect *
CGI Technologies and Solutions, Inc.
Lafayette, LA
The role will also support the secure adoption of AI and Generative AI (GenAI) capabilities, including LLM integrations, retrieval augmented generation (RAG), enterprise AI platforms, AI…
Added 1 hour ago
Sr Data Scientist
Aetna Resources, LLC
Hartford, CT
Experience deploying LLM-based systems to production with CI/CD
Added 1 hour ago
Senior GenAI Engineering Lead - Planning & Execution (Python)
Evolver
Palo Alto, CA
…consistency through code, statistical methods, and guided ML and LLM execution. It handles processes end-to-end, engaging humans when needed to maximize efficiency and…
Added 1 hour ago
Senior Full-Stack Engineering Lead - Application Experiences
Evolver
Palo Alto, CA
…consistency through code, statistical methods, and guided ML and LLM execution. It handles processes end-to-end, engaging humans when needed to maximize efficiency and…
Added 2 hours ago
IA Research Engineer (Kernels) Intern
Etched
San Jose, CA
- Build and deploy LLM agents wired into our engineering workflows via tool-calling and MCP.

Cryoport Systems, LLC

Senior Software Engineer

Remote, United States

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Job details

Experience: 2+ years of hands-on AI/ML engineering experience in production environments.
Posting language: English
Posted: Nov 3, 2026

Original job description

Cryoport Systems is a comprehensive supply chain partner for the life sciences industry, delivering specialized solutions to meet the challenges of the biopharmaceutical, cell and gene therapy, reproductive medicine, and animal health markets. Our offerings span logistics, BioServices and biostorage, cryopreservation, and consulting, ensuring the highest standards of quality and reliability for sensitive materials. With our expansive platform of management solutions and decades of temperature-controlled supply chain expertise, Cryoport Systems helps Enable the Outcome™ by supporting certainty and precision in the supply chain, whether advancing groundbreaking therapies, supporting families on their reproductive journeys, or enhancing animal health programs.

POSITION SUMMARY

As a Senior Software Engineer at Cryoport Systems, you will lead technical initiatives, optimize team delivery, and drive architectural decisions within one of our teams. You will collaborate closely with the technical leadership team to ensure deliverables align with the organization’s broader goals and support our clients’ needs, including the design and delivery of AI-powered capabilities. You will be responsible for building, evolving and supporting core value stream application components - including AI-powered features and intelligent systems - essential for our organization’s growth. Your leadership will ensure system success and foster technical excellence, allowing Cryoport Systems to deliver certainty and reliability across our business.

Key Responsibilities:

Technical Expertise

Design, develop, and maintain scalable, resilient, and maintainable software systems aligned with technical roadmaps, including AI-powered features such as LLM integrations, RAG pipelines, and agentic workflows.
Execute value stream initiatives in an agile environment, ensuring that features meet business and technical goals.
Apply engineering best practices in software architecture, code quality, testing, security, observability, and data management.
Establish engineering best practices around AI-driven development lifecycles, prompt management, AI evaluation frameworks, and observability for AI systems.

AI & Intelligent Systems Engineering

Design, build, and support production-grade AI-enabled applications and intelligent business capabilities.
Develop solutions that leverage modern AI technologies, machine learning services, retrieval systems, and foundation models where appropriate.
Evaluate emerging AI platforms, frameworks, and tools to determine their suitability, effectiveness, scalability, and business value.
Design and implement knowledge-driven and retrieval-based solutions that improve decision-making, automation, and user experiences.
Collaborate with data, product, and engineering teams to deliver AI-driven capabilities into production environments.
Contribute to enterprise-wide standardization of AI development practices, governance, observability, and operational excellence.
Ensure AI-enabled solutions align with organizational security, compliance, and responsible AI principles.

Systems Thinking and Innovation

Participate in technical discussions, architecture reviews, and roadmap planning.
Contributed to the technical vision and architecture for the stream.
Advocate for Domain-Driven Design (DDD) and loosely coupled architectures.
Review and assess new technologies, frameworks, and tools to enhance efficiency and scalability.

Stream Alignment

Collaborate with product managers and stakeholders to understand business goals and translate them into technical requirements, including AI-driven capabilities.
Contribute to technical documentation and knowledge sharing across teams.
Ensure the team’s work aligns with objectives laid out no technical roadmaps.

Team Leadership and Collaboration:

Mentor and support engineers across the organization, fostering a culture of learning, accountability, and technical excellence.
Encourage knowledge sharing and collaborative problem solving across teams.
Partner closely with product managers, designers, architects, data professionals, and engineering teams to align technical efforts with business objectives.
Provide technical guidance and leadership while empowering team members to grow their skills and capabilities.
Champion continuous learning and professional development within the engineering organization.

Tooling/Technologies:

Ruby, Python, JavaScript, TypeScript, Java, MySQL, Docker, Elasticsearch, GitHub, JIRA, AWS Ruby on Rails, Scala, Micronaut, React, Django, FastAPI LLM APIs (OpenAI, Anthropic), LangChain, LlamaIndex, vector databases, RAG pipelines

Required Qualifications:

B.S. in Computer Science or equivalent degree (required) / M.S. in Computer Science (preferred)
8+ years architecting, implementing, and maintaining 100,000+ lines of code multi-tier distributed web applications using Python, JavaScript (React, Node), Ruby (Ruby on Rails), J2EE, and other web technologies.
5+ years architecting, implementing, and maintaining JSON API’s.
2+ years of hands-on AI/ML engineering experience in production environments.
Extensive knowledge of microservices, APIs, event-driven architectures, containerization (Docker, Kubernetes), and data modeling.
Experience incorporating AI-enabled capabilities, intelligent automation, analytics, or machine learning solutions into business applications.
Experience with model evaluation, prompt engineering, and AI observability tooling.

Preferred Qualifications:

Advanced degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related field.
Experience implementing AI-enabled applications in production environments.
Experience with cloud-native architectures, microservices, event-driven systems, and modern platform engineering practices.
Experience evaluating and adopting emerging technologies.
Experience supporting highly available, mission-critical business systems.
Knowledge of AI governance, observability, model evaluation, or responsible AI practices.
Experience leading technical initiatives, mentoring engineers, and influencing architectural direction.

Key Competencies:

Problem-Solving: Strong, detail-oriented analytical skills and a hands-on approach to troubleshooting and resolving technical challenges.
AI Fluency: Practical, hands-on judgment about where AI/LLM-based approaches add real value versus traditional engineering, with an eye toward reliability, cost, and responsible use.
Innovation: A forward-thinking mindset, constantly looking for ways to innovate and improve operations; passion for automating processes.
Strategic Vision: Ability to align stream initiatives with broader business objectives.
Collaboration: Excellent interpersonal skills and ability to collaborate across functional teams.

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More about this job

Skills

Supply chain management
Leadership
Data management
Machine learning
Decision making
Regulatory compliance
Systems thinking
Documentation
Team leadership
Problem solving
Ruby
Python
JavaScript
TypeScript
Oracle Java
MySQL
Docker
Elasticsearch
GitHub
Atlassian JIRA
AWS
Ruby on Rails
Scala
React
Django
LangChain
Computer science
ML
Microservices
Kubernetes
Data modelling
Artificial intelligence
Coaching
Analytical skills
Troubleshooting
Collaboration
Interpersonal skills

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