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