Client-Embedded AI Systems Engineer

Elios AI; San Francisco (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

Elios AI in San Francisco is hiring Forward Deployed Engineers to design and deploy AI systems for real-world use. You will translate business problems into technical solutions across LLMs, data infrastructure, and operational workflows.

You will build distributed systems, orchestrate agents, and deploy production-grade services with CI/CD, in collaboration with stakeholders and real users.

Qualifications

• 3–8+ years of software engineering experience.
• Strong Python and/or TypeScript proficiency.
• Experience building distributed systems, APIs, and data-intensive applications.
• Hands-on experience deploying AI systems in production is a plus.

Responsibilities

• Design and deploy LLM-powered applications using APIs (OpenAI, Anthropic, open-source models).
• Build agent-based systems using orchestration frameworks (LangChain, LangGraph, custom agents).
• Develop evaluation pipelines for non-deterministic outputs (prompt testing, scoring, guardrails).
• Build and optimize data pipelines (batch + streaming) using Airflow, Kafka, or similar.
• Design data models and integrate structured/unstructured data sources (APIs, warehouses, document stores).
• 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.

Skills

3–8+ years software engineering

Python

TypeScript

Distributed systems

APIs

Data-intensive apps

Tools

LangChain

LangGraph

Airflow

Kafka

Snowflake

Databricks

BigQuery

Postgres

Docker

Kubernetes

FastAPI

Node.js

Job description

Elios AI in San Francisco is hiring Forward Deployed Engineers to design and deploy AI systems for real-world use. You will translate business problems into technical solutions across LLMs, data infrastructure, and operational workflows.

You will build distributed systems, orchestrate agents, and deploy production-grade services with CI/CD, in collaboration with stakeholders and real users.