Primary responsibilities:
- Build POC's and example code through which developers can access Gen AI models via standard APIs.
- Develop tooling and self-service capabilities for deploying AI solutions. Collaborate with developers to enhance the developer experience when building and deploying AI applications.
- This is a customer-facing role and excellent soft communications skills are mandatory.
- Integrate with capabilities such as large-scale vector stores for embeddings.
- Author best practices on the Generative AI ecosystem, when to use which tools, available models such as GPT, Llama, Hugging Face etc. and libraries such as Langchain, and Sematic Kernel.
- Have an application developer mindset and build common, reusable solutions to scale Generative AI use cases using pre-trained models as well as fine-tuned models.
- Contribute to major design decisions and product selection for building Generative AI solutions.
What you’ll bring to the role:
Required Skills:
- Strong hands-on Application Development background in at least one prominent programming language, preferably Python
- Broad understanding of data engineering (SQL, NoSQL, Big Data), data governance, data privacy and security
- Demonstrated experience in DevOps, understanding of CI/ CD.
- Hands on experience with managing code in code repositories such as Bit Bucket and GitHub.
- Experience deploying resources to the cloud and using terraform to do so.
- Ability to articulate technical concepts effectively to diverse audiences.
- Strong desire and ability to influence development teams and help them adopt AI.
- Demonstrated ability to work effectively in a global organization and across time zones.
- Understanding of how deep learning works, understanding of Machine Learning frameworks such as TensorFlow or PyTorch
- Understanding of Information Security, Secure coding practices
Desired Skills:
- Experience working with application development teams to enable them to build AI based applications.
- Ability to create code samples to be shared with application teams.
- Experience working with cloud providers, preferably Azure, but also AWS, GCP
- Experience building applications using AI development services on prominent cloud platforms such as Azure Open AI, Azure AI Foundry, Azure Search, Azure Cognitive Services, AWS Bedrock, AWS Sagemaker, Google Vertex AI
- Experience working in a large, regulated industry such as Financial Services, Insurance etc.
- Experience building AI applications, preferably Generative AI and LLM based apps.
- Experience working with Generative AI development, embeddings, fine tuning of Generative AI models.
- Understanding of Model Ops/ ML Ops/ LLM Ops
- Bachelor's or a master's degree in computer science or related field, or equivalent job experience
- 8 - 12 years of experience in software engineering, design, and development