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NOTE: THIS IS A 100 % REMOTE POSITION.

AI Developer / LLM Engineering Specialist

Role Overview

Seeking a highly skilled AI/LLM Developer with strong enterprise-level software engineering experience and hands-on expertise delivering production-grade AI solutions post-2022. This role supports ongoing AI development requests, owning end-to-end delivery of features, fixes, and enhancements using LLMs, agentic workflows, and modern ML tooling.
Ideal for someone who has transitioned from traditional software/ML engineering into building enterprise AI solutions using tools like ChatGPT, Gemini, Llama, etc.

This is a contract-to-hire role operating at a senior associate / junior VP technical level.

MUST-HAVE SKILLS

Core Engineering

• 5+ years software development in Python, C/C++, Go, or Java (enterprise scale).
• Strong experience building and maintaining large-scale Python applications.

AI / LLM Engineering

• 3+ years launching production ML systems, including model deployment, monitoring, data pipelines, and fine-tuning workflows.
• Hands-on enterprise experience with LLMs, including:
• API integration
• Prompt engineering
• Fine-tuning / adaptation
• Building applications with RAG, vector retrieval, tool-using agents, and function calling
• Demonstrated use of GenAI tools post-2022 to build enterprise-grade engineering solutions.

Enterprise-Level Capability

• Experience developing AI/ML solutions within large, complex environments.
• Ability to own full lifecycle delivery: requirements discussions, solution design, coding, testing, deployment, and production support.
• Strong problem-solving skills, structured communication, and the ability to translate user needs into reliable engineering outcomes.

HIGHLY PREFERRED

• AI development experience at organizations with mature AI engineering practices.
• Experience with cloud environments (AWS preferred): Lambda, ECS/EKS, S3, DynamoDB, Redshift, Step Functions, SageMaker, IaC (Terraform/CloudFormation).
• Strong understanding of applied statistics, ML fundamentals, and model evaluation frameworks.

WHAT YOU WILL DO (DAY-TO-DAY)

• Handle ongoing AI development requests and deliver end-to-end fixes, enhancements, and new features.
• Build and deploy agentic AI systems, including retrieval workflows, reasoning agents, and secure tool-calling capabilities.
• Productionize LLM solutions: evaluation frameworks, prompt synthesis, response validation, self-correction loops, and pipelines.
• Integrate AI solutions with production ecosystems such as observability tools, incident response systems, deployment platforms, and automation frameworks.
• Work directly with end users to define problems, validate requirements, and deliver complete engineering solutions.
• Ensure safety, governance, and reliability standards through guardrails, policy checks, fallback strategies, and continuous evaluation.
• Optimize cost, latency, and performance through prompt engineering, context management, caching, and model routing.
• Build and maintain RAG pipelines, domain knowledge bases, and feedback loops.

Interested candidates may submit their resumes online or call at 310-906-4780 for further information regarding the position.

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