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Forward Deployed Engineer, Southern Europe
Job Location:
Monthly Salary:
Posted:
13 September 2026 (16 hours ago)
Posted:
Application Deadline:
11 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
About Telnyx
Telnyx is an industry leader thats not just imagining the future of global connectivitywere building it. From architecting and amplifying the reach of a private global multi-cloud IP network to bringing hyperlocal edge technology right to your fingertips through intuitive APIs were shaping a new era of seamless interconnection between people devices and applications.
Were driven by a desire to transform and modernize whats antiquated automate the manual and solve real-world problems through innovative connectivity solutions. As a testament to our success were proud to stand as a financially stable and profitable company. Our robust profitability allows us not only to invest in pioneering technologies but also to foster an environment of continuous learning and growth for our team.
Our collective vision is a world where borderless connectivity fuels limitless innovation. By joining us you can be part of laying the foundations for this interconnected future. Were currently seeking passionate individuals who are excited about the opportunity to contribute to an industry-shaping company while growing their own skills and careers.
The Role
Were building a local Enterprise Sales Pod in Milan one AE and one Forward Deployed Engineer (FDE) working together to build a Telnyx enterprise business in your market. Youll embed directly with enterprise customers to architect and ship production systems on Telnyxs global network voice messaging AI and wireless.
This isnt about demoing products. Its about building real solutions that work at scale.
Youll work side-by-side with a dedicated Enterprise AE not a demo resource but a commercial partner who owns the named-account list builds executive relationships and closes the deal. You own the technical side: discovery architecture POC and production go-live. You win together. No throw-over-the-wall.
The Pod Model
Enterprise AE owns the named-account list builds executive relationships gets in the room owns commercial qualification and close expands the account..
Forward Deployed Engineer owns technical discovery designs the architecture builds the POC when gated gets the first workload live removes blockers and finds the next workload.
We sell the workload not the SKU. Customers buy a production outcome an AI contact center a SOC/NOC agent global communications connected mobility or enterprise inference that runs on Telnyx primitives (voice messaging numbers wireless Voice AI inference agents connectivity). You lead with the outcome conversation not a product menu.
What Youll Do
Embed with enterprise customers to understand their communications workflows AI use cases and integration challenges firsthand
Build and deploy custom implementations: AI Voice Assistants Telnyx APIs (Voice Messaging Fax Wireless) WebRTC
Run open-weight LLMs in customer environments consume GLM Kimi DeepSeek Qwen and MiniMax through Telnyx Inference (OpenAI-compatible API; theres no model infrastructure for you to run) or deploy self-hosted stacks (Llama Mistral and region-specific models like Italica Sosso or other Italian/European sovereign models) behind your own serving engine when air-gapped or sovereign-cloud requirements demand it
Deploy and operate LiteLLM as the model gateway in customer environments: a unified OpenAI-compatible interface across self-hosted open-weight models and hosted providers with routing load balancing retries and fallbacks rate limits and per-team virtual keys
Instrument and govern LLM usage through the gateway cost tracking and budgets caching logging and observability (OpenTelemetry Langfuse or similar) and guardrails so customers can see and control what their AI workloads are doing
Wire production observability for everything you ship metrics logs traces dashboards and alerting (e.g. Prometheus Grafana for metrics OpenTelemetry for traces Graylog or ELK for logs or the customers existing stack) so you and the customers ops team both know what healthy looks like and what pages whom when it isnt
Design model routing strategies for real-time voice workloads balancing latency cost and quality with sane fallback behavior when a provider degrades
Make the build-vs-buy case between self-hosted open-weight models and hosted frontier APIs and keep the customers application code portable across both
Adapt models to customer domains: prompt and RAG pipelines and evaluation harnesses for Italian Spanish Greek and English language use cases and EU-specific regulatory environments (GDPR EU AI Act Italian data protection Spanish data protection Greek data protection)
Lead POCs pilots and production launches from whiteboard to go-live
Own customer outcomes stay engaged until the solution is live and stable
Collaborate directly with Product and Engineering to shape the roadmap based on field insights from Italy Spain and Greece
Were building a local Enterprise Sales Pod in Milan one AE and one Forward Deployed Engineer (FDE) working together to build a Telnyx enterprise business in your market. Youll embed directly with enterprise customers to architect and ship production systems on Telnyxs global network voice messaging AI and wireless.
This isnt about demoing products. Its about building real solutions that work at scale.
Youll work side-by-side with a dedicated Enterprise AE not a demo resource but a commercial partner who owns the named-account list builds executive relationships and closes the deal. You own the technical side: discovery architecture POC and production go-live. You win together. No throw-over-the-wall.
The Pod Model
Enterprise AE owns the named-account list builds executive relationships gets in the room owns commercial qualification and close expands the account..
Forward Deployed Engineer owns technical discovery designs the architecture builds the POC when gated gets the first workload live removes blockers and finds the next workload.
We sell the workload not the SKU. Customers buy a production outcome an AI contact center a SOC/NOC agent global communications connected mobility or enterprise inference that runs on Telnyx primitives (voice messaging numbers wireless Voice AI inference agents connectivity). You lead with the outcome conversation not a product menu.
What Youll Do
Embed with enterprise customers to understand their communications workflows AI use cases and integration challenges firsthand
Build and deploy custom implementations: AI Voice Assistants Telnyx APIs (Voice Messaging Fax Wireless) WebRTC
Run open-weight LLMs in customer environments consume GLM Kimi DeepSeek Qwen and MiniMax through Telnyx Inference (OpenAI-compatible API; theres no model infrastructure for you to run) or deploy self-hosted stacks (Llama Mistral and region-specific models like Italica Sosso or other Italian/European sovereign models) behind your own serving engine when air-gapped or sovereign-cloud requirements demand it
Deploy and operate LiteLLM as the model gateway in customer environments: a unified OpenAI-compatible interface across self-hosted open-weight models and hosted providers with routing load balancing retries and fallbacks rate limits and per-team virtual keys
Instrument and govern LLM usage through the gateway cost tracking and budgets caching logging and observability (OpenTelemetry Langfuse or similar) and guardrails so customers can see and control what their AI workloads are doing
Wire production observability for everything you ship metrics logs traces dashboards and alerting (e.g. Prometheus Grafana for metrics OpenTelemetry for traces Graylog or ELK for logs or the customers existing stack) so you and the customers ops team both know what healthy looks like and what pages whom when it isnt
Design model routing strategies for real-time voice workloads balancing latency cost and quality with sane fallback behavior when a provider degrades
Make the build-vs-buy case between self-hosted open-weight models and hosted frontier APIs and keep the customers application code portable across both
Adapt models to customer domains: prompt and RAG pipelines and evaluation harnesses for Italian Spanish Greek and English language use cases and EU-specific regulatory environments (GDPR EU AI Act Italian data protection Spanish data protection Greek data protection)
Lead POCs pilots and production launches from whiteboard to go-live
Own customer outcomes stay engaged until the solution is live and stable
Collaborate directly with Product and Engineering to shape the roadmap based on field insights from Italy Spain and Greece
Create clear technical documentation runbooks and maintainable solutions for handoff
Troubleshoot and resolve complex integration issues alongside customer teams
What Were Looking For
CS degree or equivalent experience
3 years building and shipping production software youve written code that real users depended on youve been on-call for it and youve debugged it when things broke. (A consulting background counts if this is also true of you.)
Proficiency in multiple languages: Python Go youre more dangerous in some than others. (Telnyx Edge Compute functions and stateful actors is TypeScript so that one pulls double duty.)
Practical understanding of what breaks in front of a model in production: provider rate limits and quotas timeout and retry behavior streaming token accounting and cost attribution and the failure modes that only show up under concurrency
Comfortable deploying containerized services on Kubernetes with secrets management config and upgrades as part of the deployment story
Youve wired observability and been paged because of it Prometheus Grafana OpenTelemetry Graylog ELK or equivalent. You know what to monitor what to alert on and what healthy looks like
High-concurrency experience Kafka message queues or event streams at real scale. When throughput spikes you know what breaks consumer lag backpressure hot partitions rebalance stalls and what absorbs it: partitioning consumer groups parallelism up to your partition count
Youve built APIs from scratch not just consumed them 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 theres no engineering team behind you. You read the code and the docs ask the customer (not your manager) and make sound engineering judgment calls on your own
Customer-facing engineering experience you can run discovery with a customers engineers and present to their executives in the same week
Ability to translate its not working into root cause
Comfortable working on customer sites and in high-stakes technical conversations
Excellent written and verbal communication in English and Italian. You can run whiteboard sessions live troubleshooting and escalations with customer engineering teams.
Based in Milan or willing to relocate this is a hybrid role with travel across Italy Spain and Greece
Legally authorized to work in Italy or eligible for sponsorship
Bonus Points For
Experience with AI voice assistants STT/TTS or LLM-based conversational systems
Building eval sets for a specific domain
Hands-on production experience with an LLM gateway LiteLLM Portkey Kong AI Gateway or an in-house OpenAI-compatible proxy including config-driven model definitions routing and fallback rules and virtual key management
Familiarity with the open-weight model landscape and the trade-offs between regional and multilingual models including EU sovereign AI initiatives (Mistral Aleph Alpha Italian models like Italica/Sosso and other European LLM projects)
Experience with an inference serving engine behind the gateway vLLM SGLang or TGI for production serving; Ollama for lightweight on-prem and sizing GPU capacity for self-hosted models (KV-cache footprint concurrent batch size and context length against VRAM)
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 or on-prem cloud deployments and EU regulatory frameworks (GDPR EU AI Act Italian GDPR/Privacy Code Spanish LOPDGDD Greek GDPR implementation Schrems II implications)
Security mindset (IAM encryption audit logging)
Troubleshoot and resolve complex integration issues alongside customer teams
What Were Looking For
CS degree or equivalent experience
3 years building and shipping production software youve written code that real users depended on youve been on-call for it and youve debugged it when things broke. (A consulting background counts if this is also true of you.)
Proficiency in multiple languages: Python Go youre more dangerous in some than others. (Telnyx Edge Compute functions and stateful actors is TypeScript so that one pulls double duty.)
Practical understanding of what breaks in front of a model in production: provider rate limits and quotas timeout and retry behavior streaming token accounting and cost attribution and the failure modes that only show up under concurrency
Comfortable deploying containerized services on Kubernetes with secrets management config and upgrades as part of the deployment story
Youve wired observability and been paged because of it Prometheus Grafana OpenTelemetry Graylog ELK or equivalent. You know what to monitor what to alert on and what healthy looks like
High-concurrency experience Kafka message queues or event streams at real scale. When throughput spikes you know what breaks consumer lag backpressure hot partitions rebalance stalls and what absorbs it: partitioning consumer groups parallelism up to your partition count
Youve built APIs from scratch not just consumed them 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 theres no engineering team behind you. You read the code and the docs ask the customer (not your manager) and make sound engineering judgment calls on your own
Customer-facing engineering experience you can run discovery with a customers engineers and present to their executives in the same week
Ability to translate its not working into root cause
Comfortable working on customer sites and in high-stakes technical conversations
Excellent written and verbal communication in English and Italian. You can run whiteboard sessions live troubleshooting and escalations with customer engineering teams.
Based in Milan or willing to relocate this is a hybrid role with travel across Italy Spain and Greece
Legally authorized to work in Italy or eligible for sponsorship
Bonus Points For
Experience with AI voice assistants STT/TTS or LLM-based conversational systems
Building eval sets for a specific domain
Hands-on production experience with an LLM gateway LiteLLM Portkey Kong AI Gateway or an in-house OpenAI-compatible proxy including config-driven model definitions routing and fallback rules and virtual key management
Familiarity with the open-weight model landscape and the trade-offs between regional and multilingual models including EU sovereign AI initiatives (Mistral Aleph Alpha Italian models like Italica/Sosso and other European LLM projects)
Experience with an inference serving engine behind the gateway vLLM SGLang or TGI for production serving; Ollama for lightweight on-prem and sizing GPU capacity for self-hosted models (KV-cache footprint concurrent batch size and context length against VRAM)
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 or on-prem cloud deployments and EU regulatory frameworks (GDPR EU AI Act Italian GDPR/Privacy Code Spanish LOPDGDD Greek GDPR implementation Schrems II implications)
Security mindset (IAM encryption audit logging)
#LI-RH1
Required Experience:
IC
About Company
At Telnyx, we build voice, messaging, data and wireless services that facilitate high-fidelity, secure and modern modes of communication. As engineers, we develop globally distributed services that empower developers to create applications capable of real-time communication. We have n ... View more
