Role: AI / ML OPS Engineer
Location: Horsham, PA. Remote allowed (Eastern Time Zone)
Duration: 7 Months

Role: AI / ML OPS Engineer
We are seeking an AI Developer to design, build, and productionize end-to-end AI solutions across LLMs, RAG pipelines, model fine-tuning, and cloud deployment.
This role will work closely with product, engineering, and data teams to build scalable AI features that are reliable, performant, and secure in production environments.
Responsibilities
- Design and implement end-to-end AI features, including RAG systems, agent workflows, embeddings pipelines, and fine-tuned LLM applications
- Build and maintain data ingestion, chunking, embedding, retrieval, and prompt orchestration pipelines
- Fine-tune and evaluate open-source and proprietary LLMs using techniques such as LoRA, QLoRA, PEFT, and supervised fine-tuning
- Deploy and serve custom LLMs in Azure environments using Azure Machine Learning, AKS, Container Apps, or related services
- Optimize inference performance using quantization, batching, model parallelism, and GPU-aware serving strategies
- Work with model formats such as Safetensors, GGUF, ONNX, and TensorRT for efficient loading, portability, and deployment
- Build scalable APIs and services for LLM inference, streaming responses, and model orchestration
- Implement model monitoring, logging, evaluation, prompt testing, and feedback loops
- Collaborate with product managers and stakeholders to translate business requirements into AI capabilities
- Explain technical trade-offs clearly to non-technical audiences, including model size, quantization, latency, cost, and accuracy

AI Skills: All contractor resources are expected to demonstrate baseline proficiency in enterprise-approved AI tools as part of their day-to-day responsibilities. This includes, but is not limited to:
o Consistent Use: Maintain a minimum of 90% weekly usage of AI tools such as GitHub Copilot, Microsoft 365 Copilot, and other GenAI platforms approved by the enterprise.
o Applied Productivity: Leverage AI tools to enhance coding, documentation, data analysis, and decision-making workflows.
o Continuous Learning: Stay current with evolving AI capabilities and features and apply them to improve delivery quality and velocity. 
 
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws.This position's pay range is $50.00/hr - $55.00/hr.