AI Engineer - SLM Foundry (Small Language Models)


Merican Inc
Dice Job Match Score™
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Job Details
Skills
- Machine Learning
- scalability
- Requirements Analysis
- Computer Programming
- Artificial Intelligence
- Large Language Models
- Software Engineering
- Continuous Integration
- Cloud Engineering
- Software Deployment
- Python (Programming Language)
- Enterprise Software Applications
- Knowledge of Finance
- Chatbots
- Ecosystems
- Prompt Engineering
- Generative AI
- Vector Databases
- Cloud Services
- Search Technologies
- Language Modelling
- Program Optimisation
- AI Platforms
- HuggingFace
- Machine Learning Operations
- Multi-Agent Systems
- Automated Storage and Retrieval Systems
- Moulding Machines
Summary
Hiring: 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.
- Dice Id: RTX1ca091
- Position Id: 2026-2613
- Posted 3 days ago
Company Info
With our diverse collection of skilled and committed consultants, technology companies, businesses and digital experts, we provide our subject expertise and our unique client service approach, a best-in-class global model of delivery suited to the business demands of our clients. We ensure that we implement future-oriented solutions for our clients via investments in people, solutions, technologies, competencies and infrastructure.
Our full-service offering and flexible delivery choices that combine cost, quality, effort, and risk are focused on addressing future issues for our customers. Our worldwide delivery method enables our customers to select the optimal supply plan for them.
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