AI Engineer - SLM Foundry (Small Language Models)
Intersources Inc.
Charlotte, NC, United States
2 months ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Compensation
$26,000.0
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Automated Storage and Retrieval Systems
Cloud Computing
Program Optimization
Continuous Integration
Python (Programming Language)
Machine Learning
Language Modeling
Performance Tuning
Cloud Services
Search Technologies
Software Deployment
+12 more
Software Engineering
Enterprise Software Applications
Chatbots
Delivery Pipeline
Large Language Models
Multi-Agent Systems
Prompt Engineering
Generative AI
Build Management
AI Platforms
HuggingFace
Machine Learning Operations
Job description
We are seeking an AI Engineer with hands-on experience building, fine-tuning, and deploying Small Language Models (SLMs) and enterprise AI applications. The ideal candidate will have practical experience with model optimization, inference pipelines, retrieval-augmented generation (RAG), and production deployment of AI solutions in cloud environments., * Design, build, and optimize Small Language Models (SLM) for enterprise use cases.
- Build and deploy AI/ML solutions using Python and modern AI frameworks.
- Develop RAG pipelines, vector search, and retrieval systems.
- Fine-tune and evaluate transformer-based models.
- Integrate LLM/SLM solutions into enterprise applications.
- Work with MLOps, CI/CD, and cloud deployment pipelines.
- Collaborate with product, engineering, and business stakeholders.
Requirements
- 4-5 years of software engineering/AI engineering experience.
- Strong experience in Python.
- Hands-on experience with SLM/LLM ecosystems.
- Experience with LangChain, Hugging Face, LlamaIndex, RAG, or similar frameworks.
- Strong knowledge of AWS cloud services.
- Experience deploying AI models into production.
- Knowledge of vector databases and embeddings.
Preferred Skills
- Experience with enterprise AI platforms.
- Knowledge of model optimization and inference tuning.
- Exposure to financial services environments.
Nice to Have
- Experience with prompt engineering, multi-agent systems, or conversational AI.
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