Back
Mid-level metro AI role with generalist LLM/backend requirements, increasing applicant competition.
Role requires LLM and ML production experience, limiting cross-industry transferability.
Requires specific LLM, TypeScript, and cloud skills so technical filters are moderately strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, build, and run AI-powered features using large language models integrated into existing applications with a focus on scalable, reliable production systems.
Develop and optimize prompt strategies to improve model accuracy, safety, latency, and cost efficiency across various use cases.
Build and maintain backend services and APIs using TypeScript and cloud-native tools, while collaborating cross-functionally to deliver measurable business impact.
Hands-on experience with software engineering, building and operating scalable production-grade systems.
Proven experience with JavaScript/TypeScript stacks, Node.js, backend frameworks, and API design (RESTful architectures).
Practical experience integrating large language models (e.g., OpenAI, Anthropic APIs) including prompt engineering and model evaluation.
Familiarity with AWS-based cloud environments, containerization (Kubernetes), monitoring, and data stores like PostgreSQL and MongoDB.
Experienced in deploying and maintaining AI-enabled backend applications at scale within cloud-native ecosystems.
Strong operational understanding of AI system constraints including cost, latency, privacy, and risk trade-offs.
Tech-savvy with a focus on clean, maintainable code and pragmatic engineering decisions balancing performance and reliability.