Remote LLM Features Engineer

Eliassen Group

Providence (RI)

Remote

USD 124,000 - 152,000

Full time

14 days+
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Job summary

Eliassen Group is enabling AI-powered features for a client in a remote-capable setup. You will join as a software engineer in a small pod, collaborating with a senior AI Solutions Architect, product managers, and platform teams to deliver reusable AI capabilities and production-ready services.

You will build, test, and deploy LLM-powered features, integrate with the AI middleware, and help drive observability and cost-tracking across the stack.

Qualifications

  • 3+ years of professional software engineering experience.

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 including test sets, automated checks, regression detection, and quality gates.
  • Develop APIs, backend services, integrations, and UI components required 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 features
RAG pipelines
Tool calling
Prompt engineering
REST APIs
CI/CD
Azure cloud
Git
React/TypeScript
Python

Tools

Azure OpenAI
Terraform
LiteLLM
Langfuse
Vector databases
LangChain

Job description

Eliassen Group is enabling AI-powered features for a client in a remote-capable setup. You will join as a software engineer in a small pod, collaborating with a senior AI Solutions Architect, product managers, and platform teams to deliver reusable AI capabilities and production-ready services.

You will build, test, and deploy LLM-powered features, integrate with the AI middleware, and help drive observability and cost-tracking across the stack.

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