Top 161 kubernetes generative Jobs in remote

Artificial Intelligence (AI) Engineer
General Dynamics Mission Systems, Inc —Remote
- $142,696 - $158,303 a year
- Full-time
- Remote
- Azure
- Oracle
- Computer Science
1d
Artificial Intelligence (AI) Engineer
General Dynamics Mission Systems, Inc —Remote
- $142,696 - $158,303 a year
- Full-time
- Remote
- Azure
- Oracle
- Computer Science
1d
Full Stack Engineer - Forward Deployed Engineer
Marathon TS —Washington, DC
- $150,000 - $220,000 a year
- Full-time
- Remote
- Mid-level
- AWS
- Bachelor's degree
- Opportunities for advancement
Quick Apply
DevSecOps Engineer
Rohirrim —Remote
- $0 a year
- Full-time
- Remote
- Mid-level
- 3 years
- Bachelor's degree
Quick Apply
AI Engineer
Logistics Management Institute —Remote
- $111,426.84 - $192,890.16 a year
- Full-time
- Remote
- Azure
- System design
- 3 years
3d
Data Engineer
Defense Unicorns —Remote
- $124,250 - $166,750 a year
- Remote
- Background check
- 5 years
- Databases
- Paid parental leave
- Health savings account
7d
DevSecOps Engineer (TypeScript & Agentic AI)
Arize AI —Remote
- $150,000 - $200,000 a year
- Full-time
- Hybrid work
- Azure
- Mid-level
- AWS
- Health insurance
- Dental insurance
Lead Software Engineer (Java, Streaming)
FICO —Remote
- $105,000 - $165,000 a year
- Full-time
- Remote
- 7 years
- Azure
- Java
- Opportunities for advancement
Sr Software Engineer (Java, Streaming)
FICO —Remote
- $122,500 - $192,500 a year
- Full-time
- Remote
- Azure
- Java
- AWS
- Opportunities for advancement
Staff Software Engineer
Intelex —Remote
- $137,200 - $229,100 a year
- Remote
- Azure
- System design
- 8 years
Staff Software Engineer
Mercury Insurance Services, LLC —Remote
- $82,773 - $204,439 a year
- Remote
- Computer science
- Azure
- Management
- Paid holidays
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Lead Software Engineer
Qventus —Remote
- $170,000 - $190,000 a year
- Remote
- 6 years
- Computer Science
- Bachelor of Science
Quick Apply
AI / ML Software Engineer
confenn —Remote
- $60 - $65 an hour
- Contract
- Remote
- Computer science
- Azure
- Computer Science
Quick Apply
19h
DevOps/Observability Engineer
Quantiphi —Remote
- Full-time
- Remote
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- 8 years
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Senior ML Engineer, Generative AI
Guidewire Software —Remote
- $160,000 - $240,000 a year
- Email
- Remote
- Computer science
- Computer Science
- 5 years
- Health insurance
- Dental insurance
Support Engineer
Aerospike —Remote
- Weekends as needed
- Remote
- Computer science
- Computer Science
- Mid-level
Staff Software Engineer - AI Marketing - US (Remote)
Luxury Presence —Remote
- $200,000 - $250,000 a year
- Full-time
- Remote
- System design
- 8 years
- Senior level
Quick Apply
Software Development Engineer V
Avalara —Remote
- Remote
- Computer science
- Computer Science
- System design
- Paid parental leave
- Disability insurance
Staff AI Ops Engineer
Calix —Remote
- $156,400 - $265,700 a year
- Email
- Remote
- Computer science
- Computer Science
- System design
AI Developer
CareSource —Remote
- $94,100 - $164,800 a year
- Full-time
- Computer science
- Azure
- Computer Science

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Artificial Intelligence (AI) Engineer

General Dynamics Mission Systems, Inc -
Remote

Apply Now

Job Details

Full-time
$142,696 - $158,303 a year
1 day ago

Qualifications

AI models
Containerization systems
Systems integration
Software engineering
Data Integration (Data management)
Continuous Delivery (CD) implementation
Enterprise software
Generative models
Application deployment
Enterprise software systems development
Machine intelligence
Model deployment
Implementing APIs
System deployment
Back-end integration
DevOps automation
AI-driven automation
Python
MLOps
Generative AI

Full Job Description

Basic Qualifications :

Bachelor's degree in Software Engineering, or related Science, Technology, Engineering or Mathematics field, plus a minimum of 8 years of relevant experience; or Master's degree, plus 6 years relevant experience.

CLEARANCE REQUIREMENTS:: Department of Defense Secret security clearance is required at time of hire. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required.

Responsibilities for this Position:

What You'll Own

Production AI services. Build and deploy agentic workflows, RAG pipelines, and LLM-integrated applications using Python, LangChain/LangGraph, and commercial foundation models (Claude, Codex, Gemini, open source).
Data-to-insight pipelines. Implement document ingestion workflows that transform unstructured enterprise data into structured models for AI reasoning — embeddings, vectorization, knowledge graphs.
API integration. Design and build secure API interfaces that connect AI services to internal tools, enterprise platforms (Oracle, IFS, Snowflake, PLM, MES, CRM), and data sources.
Deployment and reliability. Containerize and deploy AI services using Docker and Kubernetes. Build monitoring and evaluation pipelines to track model reliability, latency, and operational performance.
Prompt engineering at scale. Design, test, and optimize prompts and agent configurations for production use — not demos.

What You Won't Own

Platform architecture decisions — that's the Lead Architect's job
Project coordination, scheduling, or status reporting
Vendor evaluations or tool selection committees

What Makes This Role Different

You will build production AI systems for a 10,000-person enterprise — not prototypes, not demos, not proofs of concept
You will work in a multi-model environment (Claude, Codex, Gemini, open source) on real enterprise problems — legacy modernization, ERP replacement, manufacturing intelligence
AI-assisted development is the default workflow — Claude Code, Codex, agentic tooling. You will use AI to build AI.
The team is small, the problems are hard, and your code ships to production. Your work will directly change how a major defense enterprise operates.

Required Qualifications

Bachelor’s degree in Computer Science, Software Engineering, or a related field, plus 5 years of experience; or Master’s degree plus 3 years of experience
Production experience building applications with LLM APIs — you have deployed generative AI services that real users relied on, not just experimented with in notebooks
Strong Python development skills — you write clean, testable, production-grade code, not scripts
Experience with RAG pipelines, vector databases, and document ingestion workflows in production environments
Experience building and consuming REST APIs — you have integrated AI services with enterprise systems and data platforms
Containerized deployment experience — Docker, Kubernetes, CI/CD pipelines. You have shipped code through automated pipelines, not manual deployments.
U.S. citizenship required. Department of Defense Secret security clearance is required at time of hire.

Preferred Qualifications

Experience with agent frameworks — LangChain, LangGraph, or similar tools for building multi-step, tool-using AI workflows
Experience with multiple cloud platforms (AWS, Azure, GCP) including cloud-native AI services
Hands-on use of AI-assisted development tools (Claude Code, GitHub Copilot, Cursor) as part of your daily workflow
Experience with streaming data pipelines (Kafka, Airflow) and production data infrastructure
Model monitoring and evaluation — you have built systems to track AI service reliability, not just accuracy metrics in a notebook
Commercial technology background — SaaS, healthcare, fintech, or platform engineering. Defense experience is not required.

What Sets You Apart

You build things that work. Your default response to a problem is code, not a document.
You have shipped AI systems that real users depended on in production.
You are comfortable working without detailed specs — you can take a problem statement and figure out the right approach.
You care about reliability as much as capability — you monitor what you deploy.
You move fast without being reckless. You know when to iterate and when to get it right the first time.

Details

Remote — 100% telework
9/80 schedule
Defense industry experience is not required

Salary Note: This estimate represents the typical salary range for this position based on experience and other factors (geographic location, etc.). Actual pay may vary. This job posting will remain open until the position is filled. Combined Salary Range: USD $142,696.00 - USD $158,303.00 /Yr. Company Overview:

General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. With a global team of 12,000+ top professionals, we partner with the best in industry to expand the bounds of innovation in the defense and scientific arenas. Given the nature of our work and who we are, we value trust, honesty, alignment and transparency. We offer highly competitive benefits and pride ourselves in being a great place to work with a shared sense of purpose. You will also enjoy a flexible work environment where contributions are recognized and rewarded. If who we are and what we do resonates with you, we invite you to join our high-performance team!

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Apply Now

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