Primary Skills & Experience

AI / Machine Learning & Data Engineering (Primary)

Strong proficiency in Python for AI/ML and data engineering

Experience designing and deploying AI/ML applications in production

Hands-on experience with LLMs and APIs (OCI Generative AI, OpenAI, or similar)

Experience with prompt engineering, evaluation frameworks, and RAG pipelines

Understanding of anomaly detection, pattern recognition, and time-series analysis

Experience with vector databases / similarity search systems

Observability, Backend & Distributed Systems (Core)

Strong understanding of observability principles (metrics, logs, traces, events)

Experience with distributed systems debugging and reliability engineering

Hands-on experience with OpenTelemetry and monitoring tools (Prometheus, Grafana, OCI Monitoring)

Solid backend development experience with Python,



APIs, and microservices

Familiarity with event-driven architectures and streaming platforms (Kafka, OCI Streaming)

Understanding of scalable, fault-tolerant system design

Experience with monitoring, alerting, dashboards, and search platforms (Elasticsearch/OpenSearch)

Qualifications

Bachelor's or Master's degree in computer science or related field

Experience with AI-powered observability or AIOps systems preferred

Knowledge of incident management, root cause analysis, and SLO/SLA frameworks

Experience with multi-tenant, large-scale distributed systems

Strong communication and collaboration skills in an agile environment.

📌 Application Developer-AI/MI (Bengaluru)
🏢 Trigent Software
📍 Bengaluru