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