Senior Artificial Intelligence Engineer
1 week ago
Job Description:
Exciting Opportunity for AI Engineer:
We're on the lookout for a talented AI Engineer specializing in Generative AI and Prompt Engineering to join our dynamic team.
This role plays a crucial part in the advancement, deployment, and enhancement of generative AI models, specifically focusing on creating impactful prompts for Large Language Models (LLMs).
The ideal candidate will possess a strong AI/ML background, hands-on experience in Generative AI applications, and the capacity to devise and execute efficient, scalable AI solutions.
Key Requirements:
- Proficiency in various programming languages
- Python (main), alongside familiarity with JavaScript, SQL, and NodeJS as beneficial additions.
- Extensive expertise with AI/ML frameworks (e.g., TensorFlow, PyTorch, Transformers) and a deep understanding of Generative AI models, notably LLMs.
- Proficiency in crafting and implementing efficient prompts for Generative AI, emphasizing on enhancing model performance, Guardrails, RAG, preventing Prompting attacks, and encouraging user interaction.
- Competence in integrating AI models with APIs and application servers (Flask, Django, FastAPI) for scalable AI deployments.
- Prior involvement in developing Generative AI applications, particularly in prompt design for LLMs.
- Familiarity with SQL and NoSQL databases (e.g., MongoDB) for managing inputs and outputs of AI models.
- Experience in Vector Databases, Vector Similarity Search, and various Embedding models and frameworks.
Desired Skills:
- Knowledge of cloud platforms (e.g., AWS, Azure) and containerization tools (e.g., Docker) for AI solution implementations.
- Solid grasp of software development best practices, encompassing version control (Git), code evaluations, testing procedures, and CI/CD pipelines.
- Understanding of frontend technologies (HTML, CSS, JavaScript) for constructing user-friendly interfaces.
- Exposure to Azure's AI/ML ecosystem and familiarity with health-related projects or HIPAA compliance for added advantage.
- Experience in conceptualizing multilingual Generative AI applications is a plus.
Qualifications:
- Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline.
- 6-8 years of solid experience in AI/ML development, with a notable focus on Generative AI and Prompt Engineering.
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