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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and enhancing AI systems, with a strong focus on Python-based microservices, cloud infrastructure, and generative AI concepts. Proven ability to collaborate effectively within diverse teams while ensuring scalability, performance, and security in AI solutions.
Highest-signal resume keywords
Python ProficiencyMicroservices DevelopmentKubernetes ExperienceGenerative AI ConceptsCloud-Based Systems
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonMicroservicesLLM APIsPrompt EngineeringRAG FrameworkCI/CD DevelopmentDistributed ArchitecturesAI MonitoringAgentic SystemsAI Observability
Soft Skills
Collaborative WorkProactive AttitudeSelf-Driven
Tools & Technologies
KubernetesDockerGRPCProtobufPulsarAWSGCPAzure
Industry Keywords
AI SystemsCloud InfrastructureScalabilityPerformanceSecurity
Tech Stack
Tools & technologiesAWSAzureCloudDockerGoogle Cloud PlatformGRPCKubernetesMicroservicesPulsarPython
About the role
Key responsibilities & impact- Design and enhance sophisticated AI systems with multiple layers, including routers, agents, evaluation (LLM-as-a-judge), and AI monitoring.
- Develop and optimize a multi-layered agentic AI system: routers, tool-calling agents, RAG pipelines, evaluation (LLM-as-a-judge), and AI observability.
- Play a key role in shaping the architecture of our groundbreaking AI solution as we transition it into the production phase.
- Implement Python-based microservices within Kubernetes, ensuring seamless integration and communication between services in the cloud.
- Focus on scalability, performance, and security across our AI infrastructure, contributing to a robust and reliable product.
- Work closely with a diverse team of subject-matter experts, including senior engineers, UX designers, and project managers, to bring innovative ideas to life.
Requirements
What you’ll need- Proficiency in Python and experience with building microservices.
- Familiarity with generative AI concepts - LLM APIs, tool/function calling, prompting - and an interest in building AI-driven solutions.
- Experience with cloud-based back-end systems and distributed architectures (such as Kubernetes, Docker, gRPC, Protobuf, Pulsar, AWS, GCP, Azure...).
- Ability to work collaboratively in a dynamic team environment.
- You are proactive and self-driven.
- Proven ability to quickly learn and understand complex subject matter.
- Knowledge of Prompt engineering, LLM Ops, RAG framework (Nice to have).
- Hands-on experience building agentic systems (Nice to have).
- Experience with CI/CD style of development (Nice to have).
- Familiarity with data science concepts or building ML infrastructure (Nice to have).
Benefits
Comp & perks- Flexible work arrangements
