AI/ML Engineer – Generative AI
Description
Seeking an experienced AI/ML Engineer with a strong focus on Generative AI to design and deliver scalable, secure, and business-ready AI solutions. The candidate should have hands-on experience with Python, LLMs, prompt engineering, RAG, model/API integration, and cloud platforms. Excellent written and verbal communication skills are essential for collaborating with stakeholders and presenting technical solutions clearly.
Key Skills: Python, Machine Learning, Generative AI, LLMs, prompt engineering, RAG, REST APIs, cloud deployment, Git, and excellent communication skills.
Good to Have: AWS Bedrock/SageMaker, LangChain or LlamaIndex, Hugging Face, vector databases, MLflow, Docker, CI/CD, model evaluation, and responsible AI practices.
Experience: 3+ years of relevant AI/ML experience, with practical exposure to Generative AI or LLM-based applications.
Roles and Responsibilities
- Design, develop, test, and deploy AI/ML solutions with a strong focus on Generative AI and large language models.
- Build applications using prompt engineering, retrieval-augmented generation, embeddings, vector databases, and responsible AI practices.
- Develop Python services and REST APIs to integrate AI models and GenAI capabilities into enterprise applications.
- Evaluate model quality, accuracy, latency, cost, safety, and business suitability using defined test datasets and metrics.
- Deploy and monitor AI/ML workloads on AWS or equivalent cloud platforms using secure and scalable engineering practices.
- Communicate technical concepts, solution trade-offs, progress, risks, and outcomes clearly to both technical and non-technical audiences.
- Create technical documentation, solution designs, demos, and knowledge-sharing material.