Backend AI Data Engineer

Beacon Hill Staffing Group, LLC • Columbus, OH • 1h ago

Beacon Hill was founded to set a new standard in search, career placement and flexible staffing.

Backend AI Engineer (Remote)

Seeking a Backend AI Engineer to help build and scale next-generation AI-powered applications and services. This is an opportunity to work on cutting-edge generative AI initiatives involving large language models, retrieval-augmented generation (RAG), AI agents, vector databases, and cloud-native AI deployments.

What You'll Do

Design, develop, and maintain scalable AI-powered backend systems and services.

Build and optimize RAG pipelines and prompt-engineering workflows.

Develop asynchronous backend services and REST APIs using modern Python frameworks.

Design and manage vector database infrastructure to support semantic search and AI applications.

Create document-processing pipelines capable of extracting information from PDFs, images, tables, and other unstructured data sources.

Build AI agent and tool-calling workflows for engineering and business use cases.

Support intelligent knowledge-management solutions and automated content generation initiatives.

Collaborate with cross-functional engineering, systems, and validation teams.

Implement AI governance, monitoring, reliability controls, and cost optimization strategies.

Document solution architecture, APIs, and AI workflows.

Required Qualifications

2+ years of software engineering, backend engineering, machine learning engineering, or related experience.

Hands-on experience building AI-powered applications in production environments.

2+ years of experience developing RAG pipelines, LLM-based applications, or AI agent solutions.

Strong Python development experience.

Experience with Google Gemini, Vertex AI, LangChain, and LangSmith.

Experience building backend APIs and integrating AI services into enterprise applications.

Experience processing unstructured data, including PDFs, technical documentation, and image-based content.

Experience with vector databases and retrieval systems.

Bachelor's degree in Computer Science, Software Engineering, Information Technology, Engineering, or a related STEM discipline.

Preferred Qualifications

Experience developing FastAPI or Flask-based services.

Experience working with AI deployment platforms such as Cloud Run, Kubernetes, or Docker.

Experience integrating multiple LLM providers including OpenAI, Anthropic Claude, or AWS Bedrock.

Front-end integration experience using React, Next.js, Streamlit, or Gradio.

Experience working in regulated industries such as healthcare, life sciences, medical device, or other compliance-heavy environments.

AI/ML certifications are a plus.

Technical Skills

Python

Google Gemini

Vertex AI

LangChain

LangSmith

Retrieval-Augmented Generation (RAG)

AI Agents / Tool Calling

Vector Databases

FastAPI

REST APIs

Docker

Kubernetes

Cloud-Native Architecture

Prompt Engineering

Unstructured Data Processing

Ideal Candidate

We're looking for someone who combines strong backend engineering

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