AI Engineer

# AI/ML Engineer ## Company Overview *Company details were not specified.* ## Job Summary The AI/ML Engineer will be responsible for developing, training, and deploying advanced artificial intelligence and machine learning models, with a particular focus on Generative AI and Large Language Models (LLMs). This role will contribute directly to the company’s goals by enhancing AI capabilities and delivering innovative solutions. ## Responsibilities - **Model Development & Training** - Design, train, and fine-tune AI/ML models, particularly Generative AI and LLMs, to meet specific use cases. - Build conversational AI solutions and chatbots utilizing frameworks such as LangChain, Retrieval-Augmented Generation (RAG), and Chain-of-Thought (CoT) prompting. - Apply advanced techniques including embeddings, fine-tuning, and custom prompting strategies. - Incorporate REACT (Retrieve, Extract, Adapt, Construct, Think) methods to strengthen model capabilities. - Develop scalable AI solutions to ensure seamless integration into production environments. - **Data Handling** - Manage large-scale datasets for AI/ML projects, ensuring data quality, transformation, and normalization. - Conduct data analysis, preprocessing, and munging to derive valuable insights from datasets. - Implement scalable data engineering workflows for the efficiency of model development and production. - **Cloud AI/ML Deployment** - Deploy, manage, and optimize AI models on Google Cloud Platform (GCP) and other cloud platforms (AWS/Azure). - Utilize GCP services such as Vertex AI, BigQuery, Cloud Functions, and Dataflow for effective AI workflows. - **Collaboration & Solutioning** - Collaborate with cross-functional teams, including product managers, data scientists, and software engineers to deliver AI-driven solutions. - Integrate models with client-facing applications, ensuring comprehensive end-to-end implementation. - Support scalable development through Docker for containerization (preferred). - **Continuous Improvement** - Stay abreast of the latest advancements in AI, ML, and Generative AI frameworks, tools, and methodologies. - Proactively learn and apply new technologies to enhance processes and solutions. - **Web Scraping (Optional but Preferred)** - Implement web scraping solutions to collect data from unstructured sources for model training and validation. ## Qualifications - 3-6 years of experience in AI/ML model development, training, and fine-tuning. - Strong programming skills in **Python** and **SQL**. - Hands-on experience with **Generative AI**, **Large Language Models (LLMs)**, and **Natural Language Processing (NLP)** techniques. - Experience with **LangChain**, **RAG frameworks**, and advanced prompting strategies. - Proficiency in **Chain-of-Thought (CoT)** prompting, **Model Context Protocol (MCP)**, and **Agent-to-Agent (A2A)** orchestration. - Proficiency in embeddings and fine-tuning models for specialized tasks. - Strong understanding of machine learning algorithms and statistical analysis. ## Preferred Skills - Experience in implementing web scraping solutions for data gathering from unstructured sources. ## Experience - Minimum of 3 years and up to 6 years in relevant experience focused on AI/ML development. ## Environment *Typical work setting and location were not specified.* ## Salary *Salary information was not specified.* ## Growth Opportunities *Opportunities for career advancement were not specified.* ## Benefits *Benefits information was not specified.*