Role : Gen AI Architect
Location : Phoenix AZ (Remote)
Full-time Employment
Job Description:
We are seeking a highly motivated and skilled GenAI Production Engineer to join our growing Data & AI team at Altimetrik. In this role, you will lead the design and implementation of AI-driven solutions that drive innovation and operational efficiency. You will work closely with cross-functional teams to build, optimize, and maintain production-ready systems that deliver scalable, high-performance results for our clients. The ideal candidate has experience engaging with Large Language Models (LLMs) through APIs or conversational interfaces, ML and LLM Ops and Observability, a baseline understanding of architectures like Retrieval-Augmented Generation (RAG), working experience with data engineering related to efforts associated with Data Lakes or Data Modernization projects, and cloud-based architectures.
Key Responsibilities:
- Lead cross-disciplinary teams in the development and deployment of AI applications.
- Develop and maintain production-level GenAI systems using cloud technologies such as ChatGPT, Flowise, Lang chain, AWS, Azure, Snowflake, Data bricks, and Salesforce.
- Collaborate with clients, project managers, and engineering teams to drive the full lifecycle of feature and product development, from ideation to deployment.
- Design, implement, and optimize server less architectures for AI-powered solutions, ensuring reliability, scalability, and high performance.
- Build and optimize retrieval-augmented generation (RAG) systems by designing metadata schemas and using vector embedding to improve data retrieval accuracy and efficiency.
- Utilize Microservices architecture to create and deploy Proof-of-Concept projects related to natural language tasks and content automation.
Requirements:
- 7+ years of experience in software engineering with a focus on AI/ML projects.
- Proficiency in Python, JavaScript, and Typescript.
- Proven ability to lead and manage projects with cross-functional teams.
- Excellent communication skills to collaborate effectively with technical and non-technical stakeholders.
- Experience with cloud technologies including Chat GPT API, AWS, Azure, Snowflake, and Salesforce.
- Familiarity with infrastructure as code (e.g., Terraform) and containerization tools (Docker, Kubernetes).
- Experience with agile development practices and DevOps, MLOps, and LLM Ops tools and technologies.
- Strong problem-solving skills and ability to work collaboratively in an agile environment.
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