Agentic AI Developer

United States Digital Space LLC

United States

Hybrid

USD 105,345 - 133,437

Full time

14 days+

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Benefits offered by this job

Competitive salary
Hybrid remote in Sydney

Job summary

United States Digital Space LLC is seeking an Agentic AI Developer to design and deploy Gen AI solutions with enterprise-grade security and observability. The role emphasizes Python, FastAPI, and full-stack development within a hybrid work model.

Key tech: Docker, Kubernetes, LangChain/LangGraph, AWS SageMaker, and HuggingFace. You will work on agent-based architectures, DevOps practices, and compliance in a banking context.

Qualifications

  • Proficient in Python with a focus on FastAPI.
  • Experience delivering Gen AI in enterprise-scale production with security observability.
  • Hands-on with AI stack including LangChain, LangGraph, and HuggingFace.

Responsibilities

  • Deliver Gen AI solutions into enterprise-scale production environments with security and observability.
  • Build and deploy enterprise-grade agent-based architectures and multi-agent orchestration.
  • Ensure quality with automated unit and regression testing across full-stack development.

Skills

Python
FastAPI
Full-stack development
CI/CD

Tools

Docker
Kubernetes
LangChain
LangGraph
Bedrock
SageMaker
HuggingFace
Semantic Kernel
EKS
ECS
PostgreSQL
Snowflake

Job description

Job Title: Agentic AI Developer

Location: Sydney

Job description:

Must Have:

Languages: Python (primary) with FastAPI

Containers : Docker and Kubernetes

Security models: OAuth and RBAC security

LLM Frameworks: LangChain, LangGraph

Machine Learning Platform (for build, train and deploy ML models): AWS SageMaker for Model hosting. Hugging Face is good to have.

Databases: Postgres, Snowflake

  • Demonstrated ability to deliver Gen AI solutions, into an enterprise scale production environments, with a focus on application security and observability.
  • Experience building and deploying enterprise grade agent-based architectures and multi-agent orchestration.
  • Strong programming skills in Python, and experience with full-stack development, ensuring quality with automated unit and regression testing.
  • Considerable hands‑on experience with the following AI "tech stack".
  • AWS Cloud
  • EKS / ECS
  • Bedrock
  • Semantic Kernel
  • LangChain
  • LangGraph
  • HuggingFace
  • SageMaker
  • Deep understanding of foundational AI models, prompt engineering, and fine-tuning techniques.
  • Experience deploying Generative AI solutions using enterprise-grade DevOps practices and CI/CD pipelines.
  • Exposure to AI governance, compliance, and ethical AI frameworks, and the development and implementation of security guardrails.
  • Experience delivering software solutions in a banking environment.
  • Experience in fraud detection, customer personalisation, or conversational AI is a plus.
  • Strong communication and stakeholder engagement skills.
About Us

We are the company, a dynamic technology company that is transforming the delivery of cloud implementations and cybersecurity. We are headquartered in Australia with a global presence. We are tenacious, future-thinking, and highly driven to achieve an ambitious vision to be the leading global provider of innovative technologies for companies that keep our world clean, safe, and secure.

Our fast-paced and supportive environment will offer you lots of benefits, including a competitive salary, a friendly team, a healthy work environment, and opportunities for training and development.

Job Type: Full-time

Work Authorisation:

  • Australia (Preferred)

Work Location: Hybrid remote in Sydney NSW

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