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Added 13 mins ago
Software Engineer III - Full-stack Developer with Anthropic Experience
Deloitte
Kansas City, MO · St. Louis, MO
Software Engineer III with Agentic AI Experience, AI & Engineering/Engineering as a Service
Added 40 mins ago
Platform Engineer
BOOZ, ALLEN & HAMILTON, INC.
McLean, VA
As a Platform Engineer, you'll help build and operate the foundational infrastructure behind an enterprise Digital Twin and modeling and simulation platform. You'll support containerized…
Added 1 hour ago
AE
Campus Graduate Masters Summer Internship Program - 2027 Software Engineer, Enterprise Technology Services- Charlotte, NC
American Express
Charlotte, NC
- $24.05 to $63 USD / hour
At American Express, we empower future technologists to learn, innovate, and make an impact from day one. As a Software Engineer Intern, you’ll join a 10-week Summer Internship Program and…
Added 1 hour ago
AE
Campus Graduate Masters Full-Time Engineer - 2027 Software Engineer II, Enterprise Technology Services- Charlotte, NC
American Express
Charlotte, NC
- $89,250 to $150,250 USD / year
- Full-time
At American Express, we empower technologists to learn, innovate, and make an impact from day one. As a Software Engineer in the full-time Technology Graduate Program, you’ll join a…
Added 1 hour ago
AE
Campus Undergraduate Full-Time Engineer - 2027 Software Engineer I, Enterprise Technology Services- Charlotte, NC
American Express
Charlotte, NC
- $78,000 to $124,750 USD / year
- Full-time
At American Express, we empower technologists to learn, innovate, and make an impact from day one. As a Software Engineer in the full-time Technology Graduate Program, you’ll join a…
Added 1 hour ago
Senior Full-Stack Engineer
Manta Cares
San Francisco, CA
…of how patients use Manta. We're hiring a Senior Full-Stack Engineer to make them smarter, faster, and more…
Added 4 hours ago
Software Engineer (Hybrid)
Cisco Systems, Inc.
San Jose, CA · RTP, NC
The application window is expected to close on: 11/08/2026This is a hybrid role, requiring two to three days per week at Cisco’s San Jose, CA or RTP, NC office, depending on your location.
Added 6 hours ago
AE
Campus Graduate Masters Summer Internship Program - 2027 Software Engineer, Enterprise Technology Services- New York, NY
American Express
New York, NY
- $24.05 to $63 USD / hour
At American Express, we empower future technologists to learn, innovate, and make an impact from day one. As a Software Engineer Intern, you’ll join a 10-week Summer Internship Program and…
Added 6 hours ago
AE
Campus Graduate Masters Full-Time Engineer - 2027 Software Engineer II, Enterprise Technology Services- New York, NY
American Express
New York, NY
- $89,250 to $150,250 USD / year
- Full-time
At American Express, we empower technologists to learn, innovate, and make an impact from day one. As a Software Engineer in the full-time Technology Graduate Program, you’ll join a…
Added 6 hours ago
AE
Campus Undergraduate Full-Time Engineer - 2027 Software Engineer I, Enterprise Technology Services- New York, NY
American Express
New York, NY
- $78,000 to $124,750 USD / year
- Full-time
At American Express, we empower technologists to learn, innovate, and make an impact from day one. As a Software Engineer in the full-time Technology Graduate Program, you’ll join a…
Added 6 hours ago
Software Engineers
MarketAxess Corporation
NEW YORK, NY
Added 6 hours ago
CCSI Systems Lead Engineer
AlixPartners
NEW YORK, NY
…Southfield, MI, Chicago, IL, Dallas/Houston, TX, or New York, NY (hybrid)About the RoleIn this critical role on AlixPartners Corporate Services team, you will support the Information…
Added 14 hours ago
AE
Campus Graduate Masters Full-Time Engineer - 2027 Software Engineer II, Enterprise Technology Services- Phoenix, AZ
American Express
Phoenix, AZ
- $89,250 to $150,250 USD / year
- Full-time
Added 14 hours ago
AE
Campus Undergraduate Full-Time Engineer - 2027 Software Engineer I, Enterprise Technology Services- Phoenix, AZ
American Express
Phoenix, AZ
- $78,000 to $124,750 USD / year
- Full-time
Exposure to cloud-native development, microservices, containerization, CI/CD, DevOps, automated testing, accessibility, or secure software development concepts.
Added 15 hours ago
Senior Full Stack Robotics Engineer - Java/C++/TypeScript
Kelly Services
Boston, MA
A growing robotics technology company is seeking a Full Stack Engineer to develop software solutions that power next-generation robotic systems. This role focuses on building scalable…
Added 15 hours ago
Software Engineer III - Full-stack Developer with Anthropic Experience
Deloitte
Boston, MA
Software Engineer III with Agentic AI Experience, AI & Engineering/Engineering as a Service
Added 18 hours ago
Senior Delivery Consultant, Professional Services - SAP
Amazon Web Services, Inc.
Tampa, FL · Boston, MA · Seattle, WA · Arlington, VA · Atlanta, GA · Irvine, CA · Denver, CO · Chicago, IL · San Francisco, CA · Dallas, TX
- AWS Professional level certifications including Solutions Architect Professional or DevOps Engineer Professional
Added 19 hours ago
DevOps Engineer Intern
General Dynamics Mission Systems, Inc
Remote, United States
…defense of our country. GDMS has an immediate opening for a DevOps Engineering Intern to join our team. The position provides an opportunity to work on projects that support some of our…
Added 20 hours ago
Junior Technical Engineer
Sparksoft Corporation
Columbia, MD
Enable DevOps by moving code from Dev/ Test to Staging and Production.
Added 20 hours ago
TT
Senior Platform Engineer
True Talent Solutions Partners
New York, NY
- $175,000 to $220,000 USD / year
- Experience with DevOps practices such as CI/CD, infrastructure as code, observability, and automated deployments.
Added 22 hours ago
Engineering Director
Bridgenext
UNAVAILABLE
At Bridgenext, we engineer Growth Operating Systems. Most enterprises have spent millions on their revenue stack and still aren't seeing the growth they expected.They have tools that…
Added 23 hours ago
Lead Platform Engineer (Full-Stack)
Young Basile
Troy, MI
Lead Platform Engineer (Full-Stack) (Troy, MI - Hybrid (Remote and In Person))
Added 23 hours ago
Maximo Infrastructure Architect/Engineer
MaxAccelerate
Remote, United States
Engineer for reliable operations. Design and validate high availability, backup, restoration and disaster recovery. Use Prometheus and Grafana to establish monitoring, performance baselines…
Added 23 hours ago
C
Azure DevOps Engineer
Cognizant
Dallas, TX
- $114,000 to $130,000 USD / year
As an Azure DevOps Engineer, you will make an impact by designing, implementing, and optimizing modern CI/CD platforms, cloud infrastructure, and automation solutions. You will be a valued…
Added 23 hours ago
Senior Confluent Kafka Platform Admin
Charles Schwab
Austin, TX
Event Streaming team in Enterprise Middleware organization is seeking a Senior Kafka Platform Engineer with experience to lead the evolution of its enterprise event-streaming platform and…

Closed listing

Quantum Sky

Machine Learning and AI Engineer

United States

The salary range for this position is typically between $135,000 - $155,000.

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

About employer

Job details

Pay: The salary range for this position is typically between $135,000 - $155,000.
Closing date: Oct 29, 2027
Posting language: English
Posted: Oct 29, 2026

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Original job description

Archived listing. The details below describe a past opening.

Description

Quantum Sky is seeking a Machine Learning and AI Engineer to join Matrix, the digital platforms team within Project 137, in the Chief Technology Office. Project 137 develops applied research and proprietary technology that support mission needs across the company’s business units. As part of Matrix, you will develop and integrate AI/ML capabilities into digital platforms and enterprise applications.

You will work across machine learning, generative AI, data engineering, and application integration, taking solutions from research and rapid prototyping through evaluation and production deployment. Working closely with Matrix engineers and stakeholders across Project 137, you will help deploy reliable AI capabilities on local hardware and in cloud environments, integrate them with enterprise systems, and communicate their value and limitations.

Responsibilities

Design, develop, train, evaluate, and deploy machine learning and deep learning models, including computer vision models such as YOLO and model export and serving with ONNX.
Develop applications using commercial and open-weight large language models (LLMs), deployed on local hardware or in cloud environments.
Build and optimize retrieval-augmented generation (RAG) pipelines using document ingestion and parsing, embeddings, vector databases, and hybrid keyword and semantic retrieval.
Implement agentic AI workflows, including tool calling, orchestration, multi-agent coordination, and effective management of model context.
Evaluate and improve models and AI applications through feature engineering, hyperparameter tuning, prompt design, fine-tuning, and performance optimization.
Implement AI guardrails for input validation, personally identifiable information (PII), data classification, and safe failure behavior.
Integrate AI/ML capabilities into production applications and APIs using modular architectures, reusable components, containers, automated testing, and CI/CD pipelines.
Develop ETL/ELT pipelines for structured and unstructured data; maintain data quality, lineage, and appropriate handling of sensitive information.
Develop Power BI data models, DAX calculations, advanced analytics, and embedded reporting to make analytical results accessible to users, as needed.
Integrate solutions with Microsoft Azure services, including Azure OpenAI, and enterprise authentication using Microsoft Entra ID and OAuth.
Translate ambiguous requirements into technical approaches, research emerging methods, and prototype solutions to assess feasibility before production investment.
Contribute to architecture, technical planning, code reviews, and documentation; communicate findings to technical and nontechnical audiences.

Qualifications

Required:

Demonstrated professional experience designing, developing, and supporting production software applications.
Strong hands-on software development experience with Python, including professional experience developing applications using Django, FastAPI, or a comparable modern framework.
Programming experience with Go and familiarity with JavaScript/TypeScript or other modern application development languages.
Experience designing, developing, and consuming RESTful APIs and integrating applications with external systems and services.
Experience with relational databases, data modeling, backend application architecture, and modern front-end web development technologies.
Experience building AI agent or agentic-workflow systems: tool use, multi-step orchestration, and integration with large language models.
Experience with modern front-end development, including at least exposure to generative or AI-driven UI.
Hands-on experience working in cloud environments such as AWS, GCP, or Azure, with an understanding of how applications are deployed, configured, secured, monitored, and operated in production.
Experience working within a CI/CD and DevOps-based software delivery environment, including automated builds, testing, deployments, version control, and release processes.
Familiarity with Infrastructure as Code (Terraform, CloudFormation, or similar), sufficient to work effectively alongside the engineers who own it.
Experience with Docker, containers, and cloud-native application deployment. Familiarity with Kubernetes or managed container platforms is highly desirable.
Demonstrated experience using AI-assisted software development tools such as Claude Code, OpenAI Codex, Cursor, GitHub Copilot, or comparable technologies as part of day-to-day professional software development.
Ability to independently troubleshoot software, integration, deployment, and production issues and develop secure, reliable, and maintainable solutions.
Comfort operating in a high-ambiguity, early-stage product environment: able to ask clarifying questions, propose trade-offs, and iterate without fully specified requirements.
Strong analytical, problem-solving, and communication skills with the ability to collaborate across software engineering, product, cloud, and platform teams.

Desired:

Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical field.
Direct experience with the Model Context Protocol (MCP) or comparable agent-tool integration standards.
Experience with agent orchestration frameworks (for example LangChain, LlamaIndex, CrewAI, or comparable).
Experience developing software for network operations, telemetry, or mission/tactical systems.
Experience with AWS and/or GCP cloud-native services, including serverless, container, database, messaging, monitoring, identity, and security services.
Hands-on experience with technologies such as Terraform, Docker, Kubernetes, GitHub Actions, GitLab CI, AWS CodePipeline, CloudFormation, or comparable DevOps and cloud automation technologies.
Experience with modern JavaScript/TypeScript frameworks (React or similar), including streaming UI patterns.
Familiarity with vector databases, retrieval-augmented generation, or other applied large-language-model patterns.
Experience with observability and monitoring platforms such as CloudWatch, OpenSearch, Splunk, Datadog, New Relic, or similar technologies.
Knowledge of the NIST Risk Management Framework (RMF), NIST SP 800-53 Revision 5, FedRAMP, and FISMA security and compliance requirements.
Experience translating operational or mission requirements into application features, automation, workflows, integrations, or reporting capabilities.
Prior experience supporting a Defense Information Systems Agency, Army, Air Force, or other Department of War program.
Experience developing and operating software supporting federal government, enterprise, or other highly regulated environments.

Clearance:

US Citizenship with the ability to obtain a security clearance
DOD/DoW Secret or Top Secret clearance is preferred

Location:

Remote, US. Hybrid-remote in Reston, VA (preferred)

About Quantum Sky

Compensation:

Compensation is unique to each candidate and relative to the skills and experience they bring to the position. The salary range for this position is typically between $135,000 - $155,000. This does not guarantee a specific salary as compensation is based upon multiple factors such as education, experience, certifications, and other requirements, and may fall outside of the above-stated range.

Benefits:

Highlights of our benefits include Health/Dental/Vision, 401(k) match, Paid Time Off, STD/LTD/Life Insurance, Referral Bonuses, professional development reimbursement, and parental leave.

The world the mission operates in is going post-quantum, contested, and machine-speed. Quantum Sky engineers the advantage across cyber, networks, software, and quantum because the mission demands dominance, not parity. We don't follow the map. We draw it.

At Quantum Sky, we believe that success starts with our people. We foster a collaborative, innovative, and mission-driven environment where every team member plays a critical role in shaping the future of technology. Are you ready to join #TeamQuantumSky?

Quantum Sky Engineering LLC is an Equal Opportunity Employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, [sexual orientation, gender identity,] national origin, disability, status as a protected veteran, or any characteristic protected by applicable law.

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