# Senior Software Engineer, AI Platform & Agents

**Company:** [Coalition Security](https://hotfix.jobs/companies/coalition-security)
**Location:** Remote
**Role:** Backend Engineering
**Salary:** $150k – $200k/yr
**Experience:** 5+ years
**Skills:** Python, Go, SQL, RAG, Vector Databases, Docker, Git, Sentry, Datadog, Jaeger, LangChain, LangGraph, Llamaindex, Kubernetes, LLMs
**Posted:** 2026-03-31

> Builds and maintains AI platform infrastructure, SDKs, and services for LLMs and agentic workflows. Collaborates with scientists and engineers on RAG pipelines, production AI systems, and observability; requires 5+ years experience with Python/Go and cloud-native principles.

## Job Description

## Responsibilities

**AI Platform Engineering:** Build and maintain the core infrastructure, services, and SDKs that empower the rest of the company to leverage LLMs and Agentic workflows.

**Scientific Collaboration:** Partner closely with Applied Scientists and Data Scientists to translate experimental models and research into scalable, production-grade AI services.

**Data Strategy:** Work with Data Engineers to design robust data pipelines that feed into RAG systems, ensuring high-quality, real-time data retrieval for AI context.

**Internal Onboarding:** Act as a technical consultant and facilitator for other engineering teams, helping them successfully onboard their specific AI use cases onto the platform.

**Design & Document:** Design, document, and deploy public AI interfaces that provide an exceptional developer experience for internal users.

**Operational Excellence:** Collaborate with Site Reliability Engineers (SRE) to deliver AI applications in a repeatable, stable, and highly efficient software development lifecycle.

**Quality Engineering:** Develop comprehensive test cases for AI models and workflows, working with QE to ensure deterministic and reliable outcomes in a non-deterministic AI landscape.

## Skills and Qualifications

**Core Development:** Expert-level API and service development in **Python** (required) and/or **Go**. Experience with **SQL**, database management.

**AI Architecture:** Hands-on experience building **RAG** pipelines, managing **vector databases**, and orchestrating multi-agent systems.

**Cross-Functional Fluency:** Proven ability to communicate technical requirements effectively across Data Science, Data Engineering, and Product domains.

**Cloud Native Principles:** Deep understanding of production-tested principles including horizontal scaling, 12-factor application design, and security principles like **OWASP**.

**Observability:** Experience monitoring AI performance and analyzing model/software errors using tools like **Sentry**, **DataDog**, or **Jaeger**.

**DevOps Tools:** Proficiency in container-based development with **Docker** and source control via **Git**.

**Experience:** At least **5+ years** of hands-on software development experience.

## Bonus Points

- Experience with AI orchestration frameworks (e.g., **LangChain**, **LangGraph**, **LlamaIndex**, **LiteLLM**, or **CrewAI**).
- Production experience with distributed, event-driven, and message-driven architectures.
- Experience building self-service \"Platform-as-a-Product\" for internal developers.

## Compensation

The US base salary for this position ranges from **$150,000/year** in our lowest geographic market up to **$200,000/year** in our highest geographic market.

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