AI Engineer - SLM Foundry (Small Language Models)
Merican
AI Engineer – SLM Foundry (Small Language Models)
Location: Charlotte, NC / Philadelphia, PA (Hybrid) Duration: Long-term Contract
We are looking for a talented AI Engineer with hands-on experience in Small Language Models (SLMs), Large Language Models (LLMs), and enterprise AI solutions to join our team.
Key Responsibilities:
- Design, build, and optimize Small Language Models (SLMs) for enterprise use cases.
- Develop and deploy AI/ML solutions using Python and modern AI frameworks.
- Build Retrieval-Augmented Generation (RAG) pipelines, vector search, and retrieval systems.
- Fine-tune, evaluate, and optimize transformer-based models.
- Integrate LLM/SLM solutions into enterprise applications.
- Work with MLOps, CI/CD pipelines, and cloud-based AI deployments.
- Collaborate with product, engineering, and business stakeholders to deliver scalable AI solutions.
Required Qualifications:
- 4–5 years of software engineering or AI engineering experience.
- Strong programming expertise in Python.
- Hands-on experience with SLM/LLM ecosystems and generative AI solutions.
- Experience with LangChain, Hugging Face, LlamaIndex, RAG, or similar AI frameworks.
- Strong understanding of AWS cloud services and AI deployment architectures.
- Experience deploying AI models into production environments.
- Knowledge of vector databases, embeddings, and semantic search technologies.
Preferred Qualifications:
- Experience with enterprise AI platforms.
- Knowledge of model optimization, inference tuning, and performance improvements.
- Exposure to financial services or regulated industry environments.
- Experience with prompt engineering, multi-agent systems, or conversational AI is a plus.
Interested candidates, please share your updated resume along with your contact details and availability.
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