Key Responsibilities
Design and develop AI applications using Python, LLMs, and enterprise APIs
Build and improve RAG pipelines, including document ingestion, embeddings, and vector search
Evaluate AI responses for accuracy, reliability, latency, and cost, and troubleshoot issues
Deploy and monitor AI services in cloud and on-premises environments while maintaining security and operational stability
Lead technical discussions, review code, and mentor engineers on implementation
Collaborate with business stakeholders to clarify requirements, prioritize tasks, and demonstrate progress
Maintain technical documentation, deployment runbooks, and knowledge transfer materials
Lead technical architecture, Python development, LLM integration, API development, and retrieval-augmented generation initiatives
Implement automated evaluation, security controls, cloud deployment, and production monitoring for AI solutions
Required Qualifications
5+ years of experience
Bachelor's Degree
Skills
Python Development
Large Language Models (LLM) Application Development
Retrieval-Augmented Generation (RAG) Pipelines
REST API Development
Vector Databases
Cloud Deployment
AI/ML
Agentic Development
AI Workflow Orchestration
Model Fine-Tuning
AI Evaluation, Observability, and Guardrails
Production Monitoring and Security Controls
Solution Architecture Leadership
Mentoring and Coaching
Technical Documentation
Stakeholder Management
Code Review Facilitation
Schedule
Start date: 2026-11-11
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.
- Dice Id: compun
- Position Id: DUTDC6104530
- Posted 9 hours ago
