Experience
2 - 5 yrs
Job Location
Bengaluru, India
Vacancy
1
Designation
AI Engineer
Job Type
ONSITE
Job Description
The Role:
We are hiring AI Solutions Engineers based in Bangalore who will own the full customer journey from first onboarding call to a live, production LogIQ deployment reactive and proactive. You will work directly with enterprise customers, understand their operational domain, prepare their data, configure the platform, and build compelling demos that show exactly how LogIQ reduces mean-time-to-resolution (MTTR) on their hardest problems.
This is not a support or ticket-handling role. You will write Python, build and register new agent tools, create custom log parsers, configure streaming pipelines, tune LLM prompts, debug async agent failures, and contribute directly to the core platform codebase. You are part engineer, part domain expert, and fully accountable for customer outcomes.
What You ll Do
We are looking for an AI Solutions Engineer with 2 5 years of relevant experience to own the technical customer journey from onboarding and configuration to live production deployments and advanced AI customization.
In this role, you will blend strong software engineering skills, hands on AI/LLM experience, and customer facing problem solving. You will help enterprises operationalize LogIQ by preparing their data, configuring AI agents, building compelling demos, tuning models, and ensuring successful outcomes at scale.
Key Responsibilities :
1.Customer Onboarding Platform Configuration
- Provision multi-tenant environments: tenant creation, log file type registration, product family configuration, severity thresholds, and API key management.
- Guide customers through LogIQs Signature Onboarding Wizard.
- Configure per-tenant defaults and document every configuration decision in customer-specific runbooks for long-term maintainability.
- Validate the full detection lifecycle end-to-end on customer log samples before any go-live, including quality benchmarks on hold-out data.
2. Streaming Log Ingestion Proactive Monitoring
- Set up real-time log stream ingestion pipelines Kafka, Kinesis, Fluentd, syslog-ng, or customer-native agents into LogIQs streaming layer.
- Configure the Anomaly Detection engine: define healthy baselines, tune sensitivity thresholds, and map deviation patterns to specific signature triggers.
- Wire streaming triggers to the RCA Agent so that when an anomaly fires, root-cause investigation begins automatically with no human intervention.
- Monitor stream health: lag, throughput, parsing error rates, and alert on pipeline degradation before it affects customer outcomes.
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