AI Engineer (LLMs & Agents)

  • Posted 21 days ago | Updated 13 days ago

Overview

Remote
Depends on Experience
Contract - W2
Contract - 10 Month(s)

Skills

Artificial Intelligence
Continuous Integration
Continuous Delivery
Large Language Models (LLMs)
Prompt Engineering
Python
PostgreSQL
Data Science

Job Details

Title: AI Engineer (LLMs & Agents)

Location: Remote


Job Type: Contract (10+ Months)

 

Job Description:
We are looking for an experienced AI Engineer (LLMs & Agents) who is highly motivated, inherently curious, and relentlessly results-driven. Your core mission will be to deeply understand user workflows and design robust AI systems that automate those workflows using large language models and data-driven tools. This is a builder-focused role centered on software engineering excellence and rapid product delivery not traditional research or academic-style data science.

We highly encourage applicants with a portfolio of AI projects such as GitHub repos, blog posts, demos, or open-source contributions to apply. Please share links to your work!

Key Responsibilities:

  • Design and deploy end-to-end AI systems, emphasizing LLM-powered features, tools, and agentic workflows

  • Write scalable, testable, production-grade Python code

  • Develop intelligent agents utilizing LLM APIs, tool use, memory/state handling, and vector databases

  • Work across the full tech stack: Google Cloud Platform (infrastructure), Snowflake/Elastic/PostgreSQL (data), third-party/local LLMs (models), and Slack/Streamlit/ChatUI (interfaces)

  • Continuously evaluate and implement cutting-edge AI methodologies

  • Build instrumentation for user interaction and feedback loops

  • Collaborate closely with product managers, designers, and engineers to define and deliver value-driven features

  • Effectively communicate system behavior and insights to both technical and non-technical stakeholders

Required Qualifications:

  • 3+ years of experience building production AI or scalable backend systems

  • Solid software engineering fundamentals: clean architecture, testing, CI/CD, version control

  • Experience working in agile environments with daily standups and sprint reviews

  • In-depth understanding of LLMs, transformer architecture, prompt engineering, and LLM evaluation

  • Proficiency with LLM APIs (OpenAI, Anthropic, Mistral), open-source LLMs, and model tuning

  • Familiarity with agent design: token stream parsing, concurrency, memory management

  • Experience deploying with FastAPI, Docker, and Kubernetes

  • Strong Python skills (TypeScript or Go is a plus)

  • Hands-on experience with vector databases (e.g., FAISS, Weaviate, Pinecone, Elastic)

  • Proven ability to take ownership and drive projects from ideation to deployment

  • Excellent verbal and written communication skills

Nice to Have:

  • Experience in digital advertising and marketing tech

  • Deep understanding of modern DL architectures and optimization

  • Strong presentation and storytelling skills

  • Self-starter with an organized, learning-driven mindset

  • Collaborative spirit with a bias toward action and problem-solving

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.