Client-Embedded AI Systems Engineer

Elios AI

Fort Lauderdale (FL)

On-site

USD 120,000 - 210,000

Full time

48 hours ago
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Job summary

Elios AI is hiring Forward Deployed Engineers to design and deploy production AI systems in client environments. You will tackle ambiguous problems, architect end-to-end solutions, and ship systems that integrate LLMs, data pipelines, and operational workflows.

In this client-embedded role, you will collaborate with stakeholders, iterate in live environments, and own the delivery from idea to production. The position emphasizes cross-stack work, scalable Python/TypeScript services, and secure,

Qualifications

  • 3–8+ years of software engineering experience.
  • Strong proficiency in Python and/or TypeScript.
  • Experience building distributed systems, APIs, and data-intensive applications.

Responsibilities

  • Design and deploy LLM-powered applications using APIs.
  • Build agent-based systems using orchestration frameworks.
  • Develop evaluation pipelines for non-deterministic outputs.
  • Build and optimize data pipelines (batch + streaming).
  • Design data models and integrate structured/unstructured data sources.
  • Work with data platforms such as Snowflake, Databricks, BigQuery, or Postgres.
  • Implement caching, indexing, and retrieval strategies for performance and cost optimization.
  • Build scalable backend services and APIs (Python, FastAPI, Node.js, TypeScript).
  • Deploy services using Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure).
  • Implement CI/CD pipelines and versioning for models, prompts, and workflows.
  • Manage secrets, auth, and secure system integrations in production environments.

Skills

Python
TypeScript
Distributed systems
APIs
Data pipelines
SQL
NoSQL
Cloud

Tools

Docker
Kubernetes
Airflow
Kafka
LangChain
LangGraph
PostgreSQL

Job description

Elios AI is hiring Forward Deployed Engineers to design and deploy production AI systems in client environments. You will tackle ambiguous problems, architect end-to-end solutions, and ship systems that integrate LLMs, data pipelines, and operational workflows.

In this client-embedded role, you will collaborate with stakeholders, iterate in live environments, and own the delivery from idea to production. The position emphasizes cross-stack work, scalable Python/TypeScript services, and secure,

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