Applied AI Engineer
clarusadvisers
Job Description
- Design and develop production-ready Generative AI and agentic AI applications.
- Build LLM-powered solutions using OpenAI, Anthropic, open-source models, Azure OpenAI, AWS Bedrock, or equivalent platforms.
- Develop RAG pipelines, prompt engineering workflows, vector search, and knowledge-based AI applications.
- Build and orchestrate AI agents using frameworks such as LangChain, LangGraph, LangFuse, LangSmith, or equivalent tools.
- Develop scalable cloud-native applications using Azure, AWS, or GCP.
- Implement microservices, PaaS/FaaS architectures, APIs, and application-level infrastructure as code.
- Apply AI/ML evaluation, monitoring, tracing, and observability practices.
- Develop high-quality, maintainable software using strong OOP/OOD, DSA, testing, and code instrumentation practices.
- Collaborate on architecture and technical designs using business context, sequence, activity, state, entity relationship, and data-flow diagrams.
- Implement CI/CD, DevSecOps, SRE, security, and quality engineering practices.
- Use tools such as GitHub, Azure DevOps, SonarQube, MLflow, and related engineering platforms.
- Apply cost-aware engineering and FinOps principles to cloud and AI workloads.
- Contribute to AI-augmented and spec-driven software development.
- Work closely with cross-functional teams to translate business requirements into scalable AI solutions.