> Markdown version of [/jobs/ext/2228155-ai-ml-engineer](https://www.wearedevelopers.com/jobs/ext/2228155-ai-ml-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML Engineer - **Company:** Raas Infotek LLC - **Location:** Fort Mill, SC, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Cloud Engineering, Computer Programming, Continuous Integration, Data Cleansing, Information Engineering, Data Infrastructure, Data Structures, Monitoring of Systems, Python (Programming Language), Machine Learning, Natural Language Processing, Open Source Technology, Tensorflow, Azure Machine Learning, Search Technologies, Software Engineering, SQL Databases, Systems Architecture, Management of Software Versions, Google Cloud, Enterprise Software Applications, Feature Engineering, Pytorch, Large Language Models, Snowflake, Multi-Agent Systems, Prompt Engineering, Apache Spark, Deep Learning, Generative AI, Git, Scikit Learn, Solid Principles, Kubernetes, Information Technology, HuggingFace, Apache Kafka, Machine Learning Operations, Virtual Agents, Restful APIs, Document Classification, GPT, Software Version Control, Docker, Databricks, Microservices - **Published:** August 25, 2026 - **Apply:** https://www.dice.com/job-detail/2ca45595-a95c-4e13-980d-99a79641a573 ## About the Role We are looking for a highly experienced Senior AI/ML Engineer with 10+ years of software engineering and machine learning experience to design, develop, and deploy intelligent, scalable AI/ML solutions. The ideal candidate will have strong expertise in Python, machine learning, deep learning, Generative AI, NLP, cloud platforms, and data engineering, along with hands-on experience taking ML solutions from experimentation through production., * 10+ years of experience in software engineering, data science, machine learning, or AI engineering. * Strong programming experience with Python. * Hands-on expertise in Machine Learning and Deep Learning. * Strong knowledge of NLP, Generative AI, LLMs, and transformer-based models. * Experience with RAG, embeddings, vector databases, prompt engineering, and LLM evaluation. * Experience with frameworks such as PyTorch, TensorFlow, Scikit-learn, Hugging Face, LangChain, or LlamaIndex. * Strong understanding of SQL and experience working with large datasets. * Experience developing and deploying REST APIs / microservices for AI/ML applications. * Hands-on experience with at least one major cloud platform: AWS, Azure, or Google Cloud Platform. * Experience with Docker, Kubernetes, Git, CI/CD, and cloud deployment. * Understanding of MLOps, model lifecycle management, monitoring, and model versioning. * Strong knowledge of data structures, algorithms, software design principles, and scalable system architecture. Preferred Skills * Experience with Azure OpenAI, AWS Bedrock, Amazon SageMaker, Azure Machine Learning, or Vertex AI. * Experience with FAISS, Pinecone, Azure AI Search, OpenSearch, Milvus, or similar vector databases. * Knowledge of Kafka, Spark, Databricks, Snowflake, or modern data platforms. * Experience building AI agents, Agentic AI, tool calling, and multi-agent systems. * Familiarity with LangGraph, Semantic Kernel, MCP, or similar agent frameworks. * Experience with model fine-tuning, LoRA/QLoRA, and open-source LLMs. * Knowledge of AI security, responsible AI, data privacy, and governance. * Experience working in Agile/Scrum environments., Bachelor''s or Master''s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related field. ## Description * Design, develop, and deploy end-to-end machine learning and AI solutions for enterprise applications. * Build and optimize predictive models using supervised, unsupervised, and deep learning techniques. * Develop Generative AI applications using LLMs, RAG, embeddings, vector databases, and prompt engineering. * Work with frameworks such as PyTorch, TensorFlow, Scikit-learn, Hugging Face, LangChain, and LlamaIndex. * Develop NLP, text classification, recommendation, forecasting, and anomaly detection solutions as required. * Build production-ready AI/ML services and integrate models with enterprise applications through REST APIs and microservices. * Develop data preprocessing, feature engineering, model training, validation, and evaluation pipelines. * Implement MLOps practices for model deployment, monitoring, versioning, and continuous improvement. * Work with cloud-based AI/ML services across AWS, Azure, or Google Cloud Platform. * Collaborate with data engineers, software engineers, architects, product teams, and business stakeholders. * Optimize models for scalability, performance, accuracy, latency, and cost. * Establish responsible AI practices including model monitoring, security, governance, and explainability. * Mentor junior engineers and contribute to technical architecture and engineering best practices. ## Related Videos - [Navigating the AI Revolution in Software Development](https://www.wearedevelopers.com/videos/1266-navigating-the-ai-revolution-in-software-development) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)