
Technical Support Engineer - L2
Interface Ai · Bangalore · Remote
Weak hiring record · median 116 days open
All reasons
- Open 68 days
- 86% of this employer's openings are over 60 days old
In its favour
- Still listed on the employer's own board
𝗔𝗯𝗼𝘂𝘁 𝗜𝗻𝘁𝗲𝗿𝗳𝗮𝗰𝗲.𝗮𝗶
Interface.ai builds Generative AI-powered virtual assistants for banks and credit unions -
automating customer service across voice and chat for 100+ financial institutions. Our
proprietary AI achieves 90%+ accuracy on Day 1.
𝗔𝗯𝗼𝘂𝘁 𝘁𝗵𝗲 𝗥𝗼𝗹𝗲
𝗥𝗼𝘁𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗦𝗵𝗶𝗳𝘁𝘀
Our AI agents handle the majority of member interactions autonomously. What reaches L2 is technically complex, compliance-sensitive, or business-critical. You own escalations end-to-end,
drive AI quality improvement through every case you close, and serve as a trusted technical partner to customers that have zero tolerance for ambiguity.
𝗪𝗵𝗮𝘁 𝗬𝗼𝘂'𝗹𝗹 𝗗𝗼
𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗦𝘂𝗽𝗽𝗼𝗿𝘁
Own escalated cases end-to-end
root cause, resolution, and customer confirmation
- Investigate issues across conversational AI flows, voice integrations, REST APIs,
webhooks, and core banking connectors
- Identify and categorize AI behavior gaps across hallucination, intent misclassification,
knowledge coverage, flow misconfiguration, and integration issues
- Debug using logs, call recordings, digital transcripts, API traces, and observability tooling
AI Agent Quality & Improvement
- Analyze escalated AI conversations, categorize root causes with enough specificity for
ML/Product to act on, and close the feedback loop
- Write, refine, and retire knowledge base articles to continuously raise AI resolution rates
Incident & Customer Management
- Engage directly with customer technical and operational stakeholders via email and calls
- Ensure timely acknowledgment, prioritization, and resolution of escalated tickets in
Salesforce Service Cloud
Lead P1/P2 incident response
war room coordination, timestamped updates, parallel
stakeholder management across Engineering and customer teams
- Write post-mortems suitable for customer leadership and compliance review: timeline,
root cause, impact, resolution, preventive actions
- Maintain audit-ready case documentation in Salesforce Service Cloud throughout
Feedback & Process Improvement
- File actionable bug reports Engineering can act on without follow-up
- Surface recurring patterns as structured insights to Product and ML teams
Flag compliance-adjacent issues immediately
call recording, disclosure language,
member data
𝗪𝗵𝗮𝘁 𝗬𝗼𝘂'𝗹𝗹 𝗕𝗿𝗶𝗻𝗴
Technical
- 5+ years in technical or implementation support at a B2B SaaS company
REST API and webhook debugging
auth failures, integration traces, event-driven
architecture
Postgres/SQL
session data queries, usage patterns, data integrity validation across
integrated systems
Python scripting
diagnostic scripts, log parsing, lightweight internal tooling
Observability platforms
OpenSearch, Kibana, Grafana, Datadog or equivalent; queries,
dashboards, distributed traces
Voice channel familiarity
SIP, IVR routing, distinguishing ASR errors from AI model
errors
Salesforce Service Cloud or similar
case management, escalation tracking, audit-trail
documentation
Familiarity with Kubernetes
reading pod logs, understanding deployment states, and
navigating cluster context during incident investigation is a plus
𝗔𝗜 & 𝗧𝗼𝗼𝗹𝗶𝗻𝗴
Hands-on with AI agent creation and orchestration
configuring agents, chaining tools,
defining guardrails, debugging multi-step workflows
- Proficient with Cursor and Claude Code for investigations, codebase exploration, and
scripting
- Able to critically evaluate AI conversation transcripts across voice and digital channels
Communication & Agency
- Clear written and verbal communication with both technical and non-technical
customer stakeholders
Precise, audit-ready documentation
every case record should be readable by someone
who wasn't in the conversation
High Agency
you drive issues to resolution independently, make judgment calls without
waiting to be told, and take full ownership of outcomes from intake to close
Highly self-directed
manages own queue, no supervision needed
Why Join Us
Remote-first
- High ownership
- AI innovation at the frontier of financial services
Comprehensive benefits
𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻 & 𝗔𝗴𝗲𝗻𝗰𝘆
- Clear written and verbal communication with both technical and non-technical
customer stakeholders
Precise, audit-ready documentation
every case record should be readable by someone
who wasn't in the conversation
High Agency
you drive issues to resolution independently, make judgment calls without
waiting to be told, and take full ownership of outcomes from intake to close
Highly self-directed
manages own queue, no supervision needed
𝗪𝗵𝘆 𝗝𝗼𝗶𝗻 𝗨𝘀
Remote-first
- High ownership
- AI innovation at the frontier of financial services
Comprehensive benefits
Skills
- Generative AI
- Webhooks
- Machine Learning
- Salesforce
- PostgreSQL
- SQL
- Python
- OpenSearch
- Kibana
- Grafana
- Datadog
- Kubernetes
- Cursor
- Claude Code
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- Senior Software EngineerInterface Ai · San Francisco3mo ago
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