LLM & AI Platform Engineer (RAG, Agents, HITL)

Bill Gosling; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Bill Gosling is seeking an AI Specialist to build and ship LLM-powered features and agentic workflows that integrate into production systems for internal operations and enterprise clients.

You will prototype against frontier models, wire AI into real workflows, and iterate quickly based on user feedback. Strong Python, API, and cloud deployment skills are essential for delivering reliable, secure AI solutions.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Mathematics, or related technical field (or equivalent practical experience)
• 3-5 years of professional software engineering experience with at least 1–2 years shipping AI/ML/LLM features in production
• Strong Python engineering skills and API/services/data pipelines experience
• Experience building LLM-powered applications with production constraints (latency, cost, reliability, security)
• Hands-on experience with modern AI stacks: prompt engineering, RAG, vector databases, agent orchestration frameworks (LangChain, LangGraph, Claude Agent SDK)
• Experience deploying AI systems on major cloud providers (AWS, GCP, or Azure) with CI/CD, containers, and observability

Responsibilities

• Build and ship LLM-powered features, agentic workflows, and AI-native components end-to-end
• Implement agentic patterns for tool use, multi-step execution, planning, and HITL checkpoints
• Build and operate RAG systems, vector search, hybrid retrieval and reranking pipelines
• Contribute to BGOs AI-native products and platform surfaces
• Partner with engineers and domain experts to customize and deploy AI solutions inside client environments

Skills

Python

APIs

Data pipelines

LLM features

Agentic systems

REST/gRPC

Cloud deployment

Education

Bachelor's degree in CS/Engineering/Math

Tools

LangChain

LangGraph

Claude Agent SDK

Vector databases

Job description

Bill Gosling is seeking an AI Specialist to build and ship LLM-powered features and agentic workflows that integrate into production systems for internal operations and enterprise clients.

You will prototype against frontier models, wire AI into real workflows, and iterate quickly based on user feedback. Strong Python, API, and cloud deployment skills are essential for delivering reliable, secure AI solutions.