Remote AI Engineer – LLM Features & RAG Pipelines

Eliassen Group; Pierre (SD); Remote; USD 257,887,000 - 315,195,000; Full time

Benefits offered by this job

Medical plans

Dental and vision

401(k) with match

Sick time as required by law

Job summary

Eliassen Group is seeking a skilled software engineer to join a two-person enablement pod. You will deliver LLM-powered features, build RAG pipelines, tool-calling agents, and establish robust evaluation and deployment workflows while collaborating with AI architects, product managers, and platform teams.

You will contribute APIs, backend services, and frontend components, maintain observability, and document design decisions to accelerate future projects.

Qualifications

• 3+ years of professional software engineering experience.
• Backend experience in .NET or Java with working familiarity in Python.
• Hands-on experience delivering LLM-powered features (RAG, tool-calling, prompts).
• Experience with Azure or comparable cloud, REST APIs, Git, and CI/CD.
• Frontend experience with React/Angular/TypeScript.
• Ability to learn new codebase and business within 6–8 weeks.
• Preferred: Azure OpenAI, Azure Container Apps, Terraform.
• Preferred: Vector databases and semantic search.
• Preferred: Exposure to eval frameworks, Langfuse, or similar.
• Preferred: Event-driven architectures.

Responsibilities

• Build and ship LLM-powered features including RAG pipelines, tool-calling agents, multi-step workflows, and prompt frameworks.
• Integrate solutions with the AI middleware platform and contribute reusable capabilities.
• Implement evaluation and testing for AI outputs with test sets, automated checks, and quality gates.
• Develop APIs, backend services, integrations, and UI components for AI features.
• Add observability, logging, and cost tracking to deployed AI systems and remediate issues.
• Pair with solution team engineers to enable independent execution of AI feature development.
• Document designs, decisions, and lessons to accelerate future teams.

Skills

LLM-powered features

Backend development

Azure

REST APIs

Git CI/CD

Frontend (React/Angular/TS)

Python familiarity

RAG

Tool calling

Prompt engineering

Tools

Azure OpenAI

Azure Container Apps

Terraform

Vector databases

Langfuse / LiteLLM

Job description

Eliassen Group is seeking a skilled software engineer to join a two-person enablement pod. You will deliver LLM-powered features, build RAG pipelines, tool-calling agents, and establish robust evaluation and deployment workflows while collaborating with AI architects, product managers, and platform teams.

You will contribute APIs, backend services, and frontend components, maintain observability, and document design decisions to accelerate future projects.