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Telnyx is building a private, global, multi-cloud IP network and edge connectivity platform. They are establishing a local Enterprise Sales Pod in Singapore with one Account Executive and one Forward Deployed Engineer (FDE) working together to build enterprise business in the market.
As the Forward Deployed Engineer, you will embed directly with enterprise customers to architect and ship production systems on Telnyx's global network, covering voice, messaging, AI, and wireless. This is a technical partnership role—you own the technical side (discovery, architecture, POC, production go-live) while the AE owns the commercial side. You will work on real solutions at scale, not demos.
Key responsibilities include:
- Embed with enterprise customers to understand communications workflows, AI use cases, and integration challenges
- Build and deploy custom implementations: AI Voice Assistants, Telnyx APIs (Voice, Messaging, Fax, Wireless), WebRTC
- Run open-weight LLMs in customer environments (GLM, Kimi, DeepSeek, Qwen, MiniMax through Telnyx Inference, or self-hosted stacks like Llama, Mistral, SEA-LION, Merlion)
- Deploy and operate LiteLLM as the model gateway with unified OpenAI-compatible interface, routing, load balancing, retries, and fallbacks
- Instrument and govern LLM usage—cost tracking, caching, logging, observability (OpenTelemetry, Langfuse), and guardrails
- Wire production observability for all shipped solutions—metrics, logs, traces, dashboards, alerting (Prometheus + Grafana, OpenTelemetry, Graylog, ELK)
- Design model routing strategies for real-time voice workloads, balancing latency, cost, and quality
- Make build-vs-buy decisions between self-hosted open-weight models and hosted frontier APIs
- Adapt models to customer domains: prompt engineering, RAG pipelines, evaluation harnesses for English, Mandarin, Malay, Tamil; Singapore/APAC regulatory compliance (PDPA, data localization, MAS)
- Lead POCs, pilots, and production launches from whiteboard to go-live
- Own customer outcomes until solutions are live and stable
- Collaborate with Product and Engineering to shape roadmap based on field insights
- Create technical documentation, runbooks, and maintainable solutions for handoff
- Troubleshoot and resolve complex integration issues with customer teams
Requirements:
- CS degree or equivalent experience
- 3+ years building and shipping production software (code that real users depended on, on-call experience, debugging in production)
- Proficiency in multiple languages: Python, Node.js/TypeScript, Go
- Practical understanding of production LLM failure modes: provider rate limits, timeouts, retries, streaming, token accounting, cost attribution, concurrency failures
- Comfortable deploying containerized services on Kubernetes with secrets management, config, and upgrades
- Experience wiring observability (Prometheus + Grafana, OpenTelemetry, Graylog, ELK) and being paged on it
- High-concurrency experience: Kafka, message queues, event streams at scale; understanding of consumer lag, backpressure, hot partitions, rebalance stalls
- Built APIs from scratch: OpenAPI spec, REST/GraphQL design, auth, rate limiting, versioning, idempotency
- Event-driven thinking and cloud-native instincts
- Exposure to SIP, WebRTC, or real-time voice/messaging systems
- Self-sufficient by default—read code and docs, ask customers, make sound engineering judgment independently
- Customer-facing engineering experience—run discovery with customer engineers and present to executives
- Ability to translate "it's not working" into root cause
- Comfortable on customer sites and in high-stakes technical conversations
- Excellent written and verbal communication in English (whiteboard sessions, live troubleshooting, escalations)
- Based in Singapore or willing to relocate; hybrid role with travel across Southeast Asia
- Legally authorized to work in Singapore or eligible for sponsorship
Bonus qualifications:
- Experience with AI voice assistants, STT/TTS, or LLM-based conversational systems
- Building evaluation sets for specific domains
- Production experience with LLM gateways (LiteLLM, Portkey, Kong AI Gateway, in-house OpenAI-compatible proxy)
- Familiarity with open-weight model landscape and regional/multilingual models (SEA-LION, Merlion, APAC sovereign AI)
- Experience with inference serving engines (vLLM, SGLang, TGI, Ollama) and GPU capacity sizing
- SQL proficiency (Postgres, MySQL, Oracle)
- ETL and data wrangling experience
- CI/CD pipeline design and automation
- Background in telecom, CPaaS, or high-growth SaaS
- Experience with sovereign/on-prem cloud deployments and Singapore/APAC regulatory frameworks (PDPA, MAS TRM, IMDA, data localization, ASEAN cross-border transfer)
- Security mindset (IAM, encryption, audit logging)
