Salary:
USD $35,000.00 AnnuallyJob DescriptionKey ResponsibilitiesBackend DevelopmentArchitect and implement robust backend services and microservices for AI workflows.
Design APIs with scalability, reliability, and security in mind.
Optimize system performance for high throughput and low latency.
AI EngineeringIntegrate AI/ML models and LLM based applications into production systems.
Experience in building end to end Gen AI based applications/solutions.
Collaborate with data scientists to operationalize AI pipelines.
Implement features for model evaluation, monitoring, and feedback loops.
DevOps & CI/CDMaintain automated pipelines for build, test, and deployment.
Ensure compliance with code quality and security standards.
Drive end-to-end design, building, and deployment of enhancements using Python, APIs, and Microservices.
Scalability & PerformanceDesign systems for horizontal scaling and fault tolerance.
Conduct performance tuning and load testing to ensure optimal resource utilization.
Foundational ServicesBuild reusable frameworks and services that support multiple AI platform components.
Implement secure handling of sensitive data (PHI/PII redaction).
Database & Data ManagementWork extensively with NoSQL databases (MongoDB, Cosmos DB).
Ensure efficient data ingestion and retrieval for AI-driven applications.
Professional QualificationsMust have good communication and interpersonal skills.
Ability to guide the team and deliver as an Individual Contributor without much supervision.
Required SkillsStrong SQL, Python, and Query Analysis skills are required for this role.
ProgrammingPythonJavaScript (React/Angular) with experience building basic UI using React or similar frameworks.
Java or Go for backend.
Backend ExpertiseMicroservices architecture.
RESTful APIs.
Distributed systems.
Experience building data pipelines, APIs, and microservices.
AI/ML ToolsTensorFlowPyTorchLangChainVertex AILLMsGeneral Gen AI/Agentic AI experience.
Agentic AI & Google ADKExperience designing and implementing production-grade Agentic AI systems using Google ADK, including multi-agent workflows, tool-calling, and Model Control Plane (MCP) Server services (for exposing internal tools/APIs).
Google ADK experience is highly preferred.
Cloud & ContainerizationGCPKubernetesDockerGCP experience is highly preferred.
DatabasesNoSQL databases (MongoDB, Cosmos DB)SQLBigQuery experience is highly preferred.
Performance OptimizationProfilingCaching strategiesQuery optimizationAbility to identify performance bottlenecks and optimize performance using Gen AI.
Observability experience.
OtherExperience with design and support for multiple applications.
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