Jobs in the United States

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Added 10 mins ago
Software Engineer, Systems ML
Meta
Topeka, KS
Meta is seeking a Software Engineer to join our Systems ML Engineering team, focused on building and optimizing the machine learning infrastructure that powers Meta's products at massive…
Added 10 mins ago
Solutions Architect - Nutanix Database Service
Nutanix
Topeka, KS
Experience: 5+ years of experience in a customer-facing pre-sales technical role (Solutions Architect, Systems Engineer, or Database Specialist Architect) within an enterprise software,…
Added 18 mins ago
Cyber Full-Stack Software Engineer
Deloitte
Portland, OR
…next generation of cybersecurity services. As a Full Stack Engineer, you will design, develop, and enhance applications across frontend and backend environments, working with modern…
Added 32 mins ago
Senior Quantum Information Engineer
IBM
Yorktown Heights, NY
Lead technical design and architectural evolution of scalable, high-performance software services and user-facing products to execute computational tasks on quantum computers.
Added 34 mins ago
Full-stack Engineer 5 (Java, Spring, Kafka, CI/CD, AI tools, Glue, RDS, DynamoDB) (Enterprise Platforms Technology )
Capital One
New York, NY
We are seeking a highly skilled and visionary Full- Stack Engineer 5 who is passionate about Artificial Intelligence, Machine Learning, full-stack systems, and leveraging cutting-edge…
Added 34 mins ago
Lead Cloud Architect
Humana
New York, NY
We are seeking an experienced Senior Cloud Data Caching Platform Engineer with deep expertise in distributed caching technologies, automation, and software development. The ideal candidate…
Added 34 mins ago
G
Senior Front Office Application Support Engineer Hybrid
Genesis10
NEW YORK, NY
- Up to $68.76 USD / hour
Genesis10 is currently seeking a Senior Application Support Engineer for a hybrid position with a Global Financial Institution located in New York, NY. This is a 12+ month contract…
Added 1 hour ago
Staff Software Engineer, Platform
Jobgether
Remote, United States
…applications and next steps. Our partner is looking for a Staff Software Engineer, Platform based in the United…
Added 1 hour ago
Principal Software Quality Engineer
Jobgether
Remote, United States
…drive quality strategy for a sophisticated distributed database platform, ensuring reliability, scalability, and resilience across complex systems. You will combine deep distributed systems…
Added 2 hours ago
Traction Inverter Power Stage Gate Drive & Power Electronics PCB Lead Engineer
General Motors
Warren, MI
The engineer will lead complex, high-visibility work across Product Engineering, Systems Engineering, Controls and Software, EMC, Reliability, Manufacturing, Quality, Purchasing, Program…
Added 2 hours ago
J
Staff Engineer / AI Builder
Jobgether
Remote, United States
- $165,604 to $228,491 USD / year
…solutions that solve real-world business challenges. As a Staff Engineer / AI Builder, you will take technical ownership of the architecture, development, and deployment of production-grade…
Added 2 hours ago
J
Corporate Vice President - Google Cloud Lead Engineer (GCP)
Jobgether
Remote, United States
- $133,000 to $190,000 USD / year
…partner is looking for a Corporate Vice President – Google Cloud Lead Engineer (GCP) based in the United…
Added 2 hours ago
Sr. AI Technical Lead & Data Developer (REMOTE)
Koniag Government Services
Albuquerque, NM
…hands-on developer rather than a theoretical architect. You will lead the technical direction of AI initiatives while actively writing Python code, optimizing SQL databases, and integrating…
Added 2 hours ago
Software Engineering Manager, GenAI, Computer Vision, Google Maps Immersive Navigation
Google
Mountain View, CA
8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
Added 3 hours ago
Software Development Engineer - GPU Interconnects and Ethernet AI
Advanced Micro Devices, Inc
Santa Clara, CA
AMD is looking for AI Networking Systems Software Engineer to drive the design, development and bring-up of networking software for GPU scale-up interconnects and Ethernet-based AI fabrics.…
Added 3 hours ago
Staff Engineer 3
Stanford
Menlo Park, CA
Experience in areas such as embedded or real-time systems, Linux-based controls, equipment communications, or controls software development using C/C++ , Python, Matlab.
Added 3 hours ago
Software Engineer
NIKE, Inc.
Beaverton, OR
Software Engineer - NIKE, Inc. - Beaverton, OR. Develop, code/configure, test programs/systems and solutions problems in order to meet defined digital product specifications and direction;…
Added 4 hours ago
Senior Software Development Engineer in Test, ML
PlayStation Global
Madison, WI
PlayStation is seeking a Sr Software Development Engineer in Test, ML to join our Madison team and lead quality efforts for machine learning-powered products and services. You will partner…
Added 5 hours ago
Lead DevOps Engineer
London Stock Exchange Group Holdings Inc
St. Loui, MO
This Lead DevOps Engineer position is a key role within the SRC Team which sits within the Application Services Division having responsibilities to facilitate adoption of standard DevOps…
Added 5 hours ago
Solutions Architect - Nutanix Database Service
Nutanix
Boston, MA
Experience: 5+ years of experience in a customer-facing pre-sales technical role (Solutions Architect, Systems Engineer, or Database Specialist Architect) within an enterprise software,…
Added 5 hours ago
Fullstack Software Engineer (Frontend Focused)
Jobgether
Remote, United States
The Fullstack Software Engineer will play a key role in developing innovative neurotechnology designed to transform the treatment of depression and improve global mental health outcomes.…
Added 6 hours ago
Senior Data Engineer
Consumer Cellular
Scottsdale, AZ
Develop software that meets code quality standards and metrics.
Added 7 hours ago
Implementation Engineer 4 (Perimeter)
Jobgether
Remote, United States
We are seeking an experienced Perimeter Implementation Engineer to join a Network Delivery and Execution team focused on enterprise cybersecurity infrastructure. In this hands-on technical…
Added 7 hours ago
Lead ML/AI Engineer
Jobgether
Remote, United States
As Lead ML/AI Engineer, you will own the engineering foundations that connect model outputs to real-world decisions, ensure reliable feedback and measurement, and establish production…
Added 8 hours ago
Senior Data Architect and Engineer
Gulf Coast Automation Group
Chicago · Chicago, IL
Job Title: Senior Data Architect and Engineer

Jobgether

Staff Engineer / AI Builder

Remote, United States

$165,604 to $228,491 USD / year

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Job details

Pay: $165,604 to $228,491 USD / year
Posting language: English
Posted: Nov 3, 2026

Original job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Engineer / AI Builder based in the United States.

Join an innovative technology environment focused on designing and delivering advanced AI solutions that solve real-world business challenges. As a Staff Engineer / AI Builder, you will take technical ownership of the architecture, development, and deployment of production-grade AI and machine learning systems. You will lead the development of agentic workflows, generative AI applications, and scalable infrastructure, ensuring reliability, security, and performance. Working across backend, frontend, and cloud environments, you will transform complex technical requirements into practical solutions that create measurable value for clients. You will also play a key role in establishing engineering standards, mentoring colleagues, and influencing architectural decisions. This is an exciting opportunity to shape the future of enterprise AI through hands-on engineering, technical leadership, and close collaboration with multidisciplinary teams.

Accountabilities:

Agentic AI and Generative AI Engineering:
Design, develop, and maintain sophisticated agentic workflows, including reasoning loops, tool and function calling, and orchestration across single-agent and multi-agent architectures.
Select appropriate architectural patterns based on business requirements, technical complexity, scalability, and performance considerations.
Build and optimize Retrieval-Augmented Generation (RAG) pipelines, including document chunking, embeddings, vector search, re-ranking, and knowledge source refresh mechanisms.
Develop and integrate AI solutions using AWS Bedrock and Agent Core, including Model Context Protocol (MCP)-based tools and integrations.
Design and maintain production-ready system prompts with structured instructions, output constraints, and few-shot examples.
Implement comprehensive evaluation and observability frameworks using golden datasets, RAGAS-style metrics, LLM-as-judge techniques, and tracing tools such as LangFuse or LangSmith.
Build resilient AI systems capable of handling model failures and service degradation through retries, backoff strategies, circuit breakers, fallback models, and appropriate error handling.
Full-Stack and Platform Engineering:
Develop scalable backend services and RESTful APIs using Python and Node.js, including serverless solutions built with AWS Lambda and API Gateway.
Design and manage DynamoDB single-table data models, including composite keys and transactional operations for conversation state, agent memory, and session history.
Implement event-driven architectures and asynchronous workflows using AWS Step Functions, SQS, and EventBridge.
Contribute to frontend integrations to ensure AI-powered features are seamlessly delivered to end users.
Write clean, maintainable, and well-tested code across the technology stack.
Support cloud-native deployments, monitoring, troubleshooting, and production maintenance using AWS and Docker.
Ensure applications meet high standards of reliability, scalability, security, and operational performance.
Technical Leadership and Collaboration:
Lead architectural discussions and provide informed technical recommendations, clearly evaluating trade-offs between different engineering approaches.
Partner with Product, Design, and Delivery teams across global environments to define requirements, scope projects, and deliver end-to-end solutions.
Mentor engineers and help establish best practices for agentic AI development and AI-assisted engineering tools such as Claude Code.
Take full ownership of assigned features and releases, from initial design and implementation through debugging, optimization, deployment, and ongoing maintenance.
Contribute to engineering standards and technical strategies that support the long-term scalability and evolution of AI systems.
Promote a culture of technical excellence, accountability, collaboration, and continuous improvement.

Requirements:

At least 6 years of professional software engineering experience, including substantial hands-on experience developing and deploying generative AI or LLM-powered systems in production environments.
Strong practical expertise in agentic AI engineering, including reasoning loops, tool and function calling, and single-agent and multi-agent orchestration architectures.
Ability to evaluate architectural approaches and explain when single-agent systems are more appropriate than multi-agent solutions.
In-depth knowledge of RAG architectures, including document chunking strategies, embeddings, vector databases, OpenSearch or equivalent technologies, cosine similarity search, and re-ranking techniques.
Experience building evaluation and observability frameworks for LLM applications, including golden datasets, LLM-as-judge methodologies, RAGAS or comparable evaluation metrics, and tracing platforms such as LangFuse or LangSmith.
Advanced prompt engineering capabilities, with experience designing structured, production-ready system prompts that include clear instructions, constraints, and output requirements.
Hands-on experience with the AWS generative AI ecosystem, particularly Bedrock, Agent Core, Lambda, DynamoDB, S3, SQS, EventBridge, and Step Functions.
Strong programming skills in Python and Node.js, with experience developing backend services, full-stack applications, and RESTful APIs.
Solid understanding of production reliability and resilience patterns for AI-powered systems, including retry mechanisms, exponential backoff, circuit breakers, and fallback model strategies.
Experience with Docker, containerization, and cloud-native application deployment.
Ability to independently manage complex, ambiguous, and integration-heavy engineering challenges, taking ownership from initial problem definition through production delivery.
Strong analytical and problem-solving skills, combined with the ability to communicate complex technical decisions and justify architectural recommendations.
Demonstrated technical leadership, mentoring capabilities, and the ability to collaborate effectively with multidisciplinary and distributed teams.

Nice to Have:

Direct experience with Amazon Bedrock Agent Core, including agent registration, MCP tool integration, memory and session management, and gateway provisioning.
Previous experience working in regulated or high-stakes industries such as healthcare, financial services, or education, where system reliability, security, and evaluation rigor are essential.
Familiarity with workflow orchestration platforms such as AWS Step Functions, Sequencer, or similar state-machine-based technologies.
Practical experience implementing and operating LLM observability tools in production environments.
Experience delivering enterprise-grade AI solutions that integrate with complex business systems and operational workflows.

Benefits:

Competitive Compensation: Annual salary ranging from $165,604 to $228,491 USD, depending on qualifications, experience, skills, seniority, geographic location, and other relevant factors.
Comprehensive Healthcare: Medical, dental, and vision insurance for eligible employees.
Retirement Savings: Access to a 401(k) retirement savings plan for eligible employees.
Paid Time Off: Paid leave to support personal needs, rest, and work-life balance.
Professional Development: Opportunities to work on advanced AI technologies and solve challenging enterprise engineering problems.
Technical Ownership: Significant autonomy and responsibility in shaping AI architecture, engineering standards, and production systems.
Collaborative Environment: Work alongside multidisciplinary teams in an innovation-driven environment focused on creativity, technical excellence, and measurable client impact.
Career Growth: Opportunities to strengthen technical leadership skills, mentor other engineers, and influence the evolution of enterprise AI solutions.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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More about this job

Skills

Coaching
AWS
API development
Python
Node.js
Amazon DynamoDB
Data models
Troubleshooting
Docker
Leadership
Debugging
Process improvement
Problem solving
Workflow

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