Senior Cloud AI Engineer
Senior Cloud AI Engineer
Posted on :
05-06-2025
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1 Vacancy
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Job Description
Requirements:
- Bachelors or Masters degree in Computer Science Engineering or a related field.
- 7 years of professional software development experience with at least 3-4 years focused on cloud architecture and backend systems.
- Proficient in Google Cloud Platform (GCP) with hands-on experience in Compute (Cloud Run Cloud Functions GKE) Messaging (Pub/Sub) Storage & Databases (BigQuery Cloud Storage Spanner Firestore) AI/ML tools (Vertex AI Generative AI APIs) and Networking & Security.
- Proven experience designing and building event-driven architectures and microservices.
- Strong programming skills preferably in Python (especially for AI/ML and GCP) Java or Go.
- Experience with workflow orchestration tools (e.g. Apache Airflow Cloud Workflows or custom solutions).
- Solid understanding of AI/ML concepts including experience with LLMs RAG vector databases and building agentic or autonomous systems.
- Demonstrable experience implementing resilience patterns (retries circuit breakers idempotency) and ensuring system observability.
- Experience with data modeling SQL and NoSQL databases.
- Proficiency with CI/CD tools containerization (Docker Kubernetes) and infrastructure-as-code (Terraform).
- Excellent problem-solving skills and the ability to architect solutions for complex ambiguous problems.
- Experience with building cloud-based AI Compute and Storage tools and concepts.
- Familiarity with knowledge graphs (e.g. Neo4j JanusGraph) and their application in RAG or knowledge management.
- Experience with Document AI or similar document processing technologies.
- Understanding of front-end interactions with backend agentic systems.
Responsibilities:
- Design AI-driven systems on GCP using agentic pipelines Pub/Sub workflows Cloud Run BigQuery and automation.
- Lead backend development of core services atomic actions orchestration and agentic control loops including context session and history management.
- Integrate AI/ML models (LLMs custom agents) with focus on RAG embeddings and prompt engineering.
- Implement resilience practices: retries circuit breakers backoff mitigation patterns and observability (logging monitoring watchdogs).
- Manage data persistence and flow using tools like BigQuery for immutable record-keeping.
- Build complex workflows with validation consensus mechanisms and automated cleanup actions.
- Collaborate with PMs analysts and engineers; translate requirements; mentor and promote best practices.
- Advocate CI/CD infrastructure as code and automated testing for reliable deployments.
- Enforce security best practices and ensure compliance.
Employment Type
Full Time
Key Skills
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