We are seeking a talented AI Engineer to join our fast-growing AI startup. In this role, you will design, develop, and deploy AI-driven applications, focusing on large language models (LLMs), prompt engineering, and API development. The ideal candidate will have strong expertise in Python, FastAPI, prompt design, and integrating LLM function-calling capabilities into production systems.
Responsibilities
- Develop and optimize AI solutions leveraging large language models (LLMs) with advanced prompt engineering and function-calling techniques.
- Build and maintain robust APIs using FastAPI for deploying AI-powered services.
- Design and implement scalable data pipelines for preprocessing, augmenting, and managing datasets used by LLM applications.
- Integrate third-party APIs, vector databases, and document retrieval systems to enhance LLM outputs.
- Collaborate closely with product and engineering teams to seamlessly integrate AI capabilities into end-user applications.
- Conduct experiments to fine-tune prompts, optimize model outputs, and continuously improve system performance.
- Stay up-to-date with the latest advancements in LLM technologies, API development practices, and AI engineering trends.
Required Skills
Strong proficiency in Python programming.Expertise in FastAPI or similar frameworks for building and deploying APIs.Hands-on experience with prompt engineering , including prompt chaining, few-shot learning, and instruction tuning.Experience implementing LLM function-calling workflows and structured output parsing.Familiarity with vector databases (e.g., FAISS, Qdrant) and retrieval-augmented architectures.Solid understanding of using and fine-tuning large language models (e.g., OpenAI, Hugging Face, Anthropic).Strong software engineering skills, including version control, testing, and scalable system design.Excellent analytical and problem-solving skills, with a drive to innovate and optimize.Preferred Qualifications
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related technical field.2+ years of professional experience in AI / ML engineering roles.Experience working with cloud platforms such as AWS, GCP, or Azure for deploying AI solutions.Familiarity with LLM ops tools (e.g., LangChain, LlamaIndex) and serverless API deployment strategies.Strong communication skills to explain technical concepts clearly to non-technical stakeholders.