Production LLM, RAG & Cloud AI Infrastructure Engineer (AWS/Python) — Remote Systems & Domain Evaluation

As a Production LLM, RAG & Cloud AI Infrastructure Engineer (AWS/Python) — Remote Systems & Domain Evaluation with AnyHired ($200,000 - $350,000/year, 100% remote), you will play a direct role in shaping how next-generation AI systems reason through complex problems in Python, LLMs, RAG, AWS. This contract offers flexible remote scheduling for qualified professionals across the US, UK, Canada, Australia, New Zealand, and Ireland.

Role Deliverables

• Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD).
• Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders.
• Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration.
• Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments.
• Working knowledge of multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain.
• Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications.
• Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain.

Professional Qualifications

• Prior exposure to government or highly regulated cloud environments and compliance standards.
• Compensation Band: $200,000 - $350,000/year
• Work Location: Remote (100% Remote / Asynchronous Flexibility)
• Available Openings: 1 open position
• Core Competencies: Python, LLMs, RAG, AWS
• Comprehensive command of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock).
• Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes.

Hourly Compensation & Flexibility

• Compensation Rate: $200,000 - $350,000/year (contract specialist remuneration)
• Work Arrangement: 100% Remote / Work From Home
• Eligible Remote Countries: United States, United Kingdom, Canada, Australia, New Zealand, Ireland, and South Africa
• Core Competencies: Python, LLMs, RAG, AWS
• Hiring Agency: AnyHired

Direct Application Process: Click the Apply button on this page to proceed directly to our partner application portal and submit your profile for immediate consideration.