3
Staff AI Engineer
3B Staffing LLC
2 hours ago
Full-time
On-site
Job Overview:
We are looking for a
Staff AI Engineer
with strong software engineering fundamentals and hands-on experience building
production AI applications . The ideal candidate will have deep expertise in at least one cloud platform, preferably
AWS , along with strong experience in
Python, AI/LLMs, event-driven architecture, distributed systems, and cloud-native development .
The role will focus on building scalable backend services, AI-powered applications, agentic workflows, and distributed systems supporting media and content workflows.
Key Responsibilities: Build and maintain scalable backend Microservices using
Python and FastAPI . Design and deploy applications using
AWS, Azure, and/or GCP , with strong depth in at least one cloud environment. Build
event-driven and serverless applications
using services such as EventBridge, queues, and DynamoDB Streams. Develop and integrate
LLM-powered applications and AI agents . Build tools, guardrails, and deterministic functions that enable AI agents to create or modify visual assets. Integrate AI models hosted on owned infrastructure and third-party AI endpoints. Design complex distributed workflows for high-volume job orchestration and dispatching. Use
Terraform/IaC
to provision and manage cloud resources across multiple environments. Develop robust unit and end-to-end tests for APIs and AI-generated outputs. Participate in architecture, design, code reviews, Agile/Scrum ceremonies, and daily engineering workflows. Collaborate with Engineering, QA, product, and business stakeholders to deliver reliable solutions. Develop highly available, scalable, and fault-tolerant architectures. Required Skills
7+ years
of professional software engineering experience. Strong proficiency in
modern Python . Hands-on production experience with
AWS, Azure, and/or GCP . Strong experience building
production AI/LLM applications . Practical experience integrating
LLMs into software applications , including inference endpoints, context windows, and AI-generated content parsing. Strong experience with
event-driven applications and distributed systems . Experience with
Terraform
or similar Infrastructure as Code tools. Experience building and operating
backend APIs/microservices . Strong understanding of software development lifecycle, version control, testing, and code review. Experience working in an
Agile environment . Strong understanding of
AI engineering trends and best practices . Strong experience with the
C4 model
and traditional architecture/design artifacts. Strong communication and stakeholder management skills. Preferred Skills
AWS
- 5+ years preferred. Azure
- 1+ year preferred. Python, Java, Golang, or JavaScript. FastAPI . AWS EventBridge, queues, DynamoDB Streams. AI Agents and AI orchestration. Distributed systems and serverless architecture. Terraform. CI/CD. Multimodal AI, computer vision, generative image models, or vision-language models. Experience with broadcast production, video content management, media management, or content distribution workflows. Experience with AI guardrails and deterministic functions. BS in Computer Science, Electrical Engineering, or equivalent experience. Ideal Candidate
The strongest candidates will have:
Strong
production software engineering
experience. Deep expertise in
at least one cloud platform . Hands-on experience building
production AI applications using LLMs . Strong
event-driven and distributed architecture
experience. Experience with
AI agents and orchestration . Strong Python/backend development skills. Ability to clearly explain their technical decisions, architecture, and personal contributions. Experience operating AI systems in production, including
quality, reliability, latency, cost, and monitoring .
Note:
Strong software engineering fundamentals and practical production AI experience are more important than simply having an advanced AI/ML title.
We are looking for a
Staff AI Engineer
with strong software engineering fundamentals and hands-on experience building
production AI applications . The ideal candidate will have deep expertise in at least one cloud platform, preferably
AWS , along with strong experience in
Python, AI/LLMs, event-driven architecture, distributed systems, and cloud-native development .
The role will focus on building scalable backend services, AI-powered applications, agentic workflows, and distributed systems supporting media and content workflows.
Key Responsibilities: Build and maintain scalable backend Microservices using
Python and FastAPI . Design and deploy applications using
AWS, Azure, and/or GCP , with strong depth in at least one cloud environment. Build
event-driven and serverless applications
using services such as EventBridge, queues, and DynamoDB Streams. Develop and integrate
LLM-powered applications and AI agents . Build tools, guardrails, and deterministic functions that enable AI agents to create or modify visual assets. Integrate AI models hosted on owned infrastructure and third-party AI endpoints. Design complex distributed workflows for high-volume job orchestration and dispatching. Use
Terraform/IaC
to provision and manage cloud resources across multiple environments. Develop robust unit and end-to-end tests for APIs and AI-generated outputs. Participate in architecture, design, code reviews, Agile/Scrum ceremonies, and daily engineering workflows. Collaborate with Engineering, QA, product, and business stakeholders to deliver reliable solutions. Develop highly available, scalable, and fault-tolerant architectures. Required Skills
7+ years
of professional software engineering experience. Strong proficiency in
modern Python . Hands-on production experience with
AWS, Azure, and/or GCP . Strong experience building
production AI/LLM applications . Practical experience integrating
LLMs into software applications , including inference endpoints, context windows, and AI-generated content parsing. Strong experience with
event-driven applications and distributed systems . Experience with
Terraform
or similar Infrastructure as Code tools. Experience building and operating
backend APIs/microservices . Strong understanding of software development lifecycle, version control, testing, and code review. Experience working in an
Agile environment . Strong understanding of
AI engineering trends and best practices . Strong experience with the
C4 model
and traditional architecture/design artifacts. Strong communication and stakeholder management skills. Preferred Skills
AWS
- 5+ years preferred. Azure
- 1+ year preferred. Python, Java, Golang, or JavaScript. FastAPI . AWS EventBridge, queues, DynamoDB Streams. AI Agents and AI orchestration. Distributed systems and serverless architecture. Terraform. CI/CD. Multimodal AI, computer vision, generative image models, or vision-language models. Experience with broadcast production, video content management, media management, or content distribution workflows. Experience with AI guardrails and deterministic functions. BS in Computer Science, Electrical Engineering, or equivalent experience. Ideal Candidate
The strongest candidates will have:
Strong
production software engineering
experience. Deep expertise in
at least one cloud platform . Hands-on experience building
production AI applications using LLMs . Strong
event-driven and distributed architecture
experience. Experience with
AI agents and orchestration . Strong Python/backend development skills. Ability to clearly explain their technical decisions, architecture, and personal contributions. Experience operating AI systems in production, including
quality, reliability, latency, cost, and monitoring .
Note:
Strong software engineering fundamentals and practical production AI experience are more important than simply having an advanced AI/ML title.