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Software Engineer, AI Squads
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About Telnyx
Telnyx is an industry leader that's not just imagining the future of global connectivity—we're 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, we're shaping a new era of seamless interconnection between people, devices, and applications.
We're driven by a desire to transform and modernize what's antiquated, automate the manual, and solve real-world problems through innovative connectivity solutions. As a testament to our success, we're 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. We're 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 Opportunity
Our AI teams build highly available, low-latency microservices using modern, cloud-native technologies. This role sits within our broader AI organization and focuses on developing the platforms, services, and tooling that support AI-powered products — from inference and embeddings to APIs, data flows, and observability.
You’ll work in a fast-paced environment where reliability, performance, and usability matter just as much as innovation. While some squads work closer to inference pipelines and LLM tooling, others focus on platform foundations, troubleshooting and reliability, data systems, or observability — all critical to delivering AI in production at scale.
What You’ll Do
- Build, test, and deploy scalable microservices for AI-powered systems, including text and voice processing
- Design developer-friendly APIs, agents and internal tools that make AI easy to use across the Telnyx product ecosystem
- Contribute to AI inference, embeddings, and platform services that support real-time and low-latency workloads
- Optimize performance, reliability, and observability in production environments
- Collaborate closely with Product, Infrastructure, and ML teams to bring features from ideation to production
- Troubleshoot, debug, and support critical systems running in production
- Participate in code reviews and uphold high engineering and operational standards
Depending on the squad, your focus may lean more toward inference pipelines, platform foundations, observability, data systems, or production troubleshooting.
Who We’re Looking For
- Someone who has built something with cutting-edge AI tooling (something that has only become possible in the last 6 months, rolling from application date). It doesn't really matter what it is; we just want to know you are building and staying up to date.
- Strong understanding of async programming, concurrency, and parallel execution
- Experience with microservice-based systems
- Excellent communication skills and the ability to work effectively across teams
Nice to Haves
- Familiarity with LLM frameworks and tools (e.g. PyTorch, Transformers, DeepSpeed, vLLM)
- Experience with distributed computing frameworks such as Ray (Ray Core, Serve, Train)
- Exposure to cloud-native stacks (Docker, Kubernetes, Prometheus, Jaeger)
- Knowledge of LLM optimization techniques (e.g. quantization, speculative decoding)
- Background in Retrieval Augmented Generation (RAG) systems
How We Hire Across Our AI Teams
Our AI Chapter is made up of multiple squads, including:
- AI application & software engineering
- Platform & infrastructure foundations
- Troubleshooting, reliability, and production support
- Data, storage, and embeddings
- Observability and performance monitoring
We hire into a shared AI engineering pipeline. During interviews, we focus on core engineering skills, system design, and problem-solving ability. Final squad alignment happens later, based on:
- Your strengths and interests
- Team needs at the time
- Where you’ll have the biggest long-term impact
This means the exact focus of the role may vary by squad, but the core expectation remains the same: building reliable, scalable AI systems in production.
Why You’ll Love It Here
At Telnyx, we’re not just building products — we’re building the future of intelligent communication. Our TelnyxAI platform empowers developers and businesses to:
- Store and serve vector embeddings at scale
- Use open-source models with our hosted inference infrastructure
- Deploy multimodal AI features across text, voice, and storage seamlessly
You’ll have the autonomy to take ownership of meaningful projects, contribute ideas that shape the product roadmap, and collaborate with talented people who care deeply about impact, quality, and long-term thinking.
#LI-KG1
#LI-VIETNAM
#LI-BRAZIL
#LI-INDIA
Ready to apply?
Apply to Telnyx
Software Engineer, AI Squads
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About Telnyx
Telnyx is an industry leader that's not just imagining the future of global connectivity—we're 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, we're shaping a new era of seamless interconnection between people, devices, and applications.
We're driven by a desire to transform and modernize what's antiquated, automate the manual, and solve real-world problems through innovative connectivity solutions. As a testament to our success, we're 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. We're 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 Opportunity
Our AI teams build highly available, low-latency microservices using modern, cloud-native technologies. This role sits within our broader AI organization and focuses on developing the platforms, services, and tooling that support AI-powered products — from inference and embeddings to APIs, data flows, and observability.
You’ll work in a fast-paced environment where reliability, performance, and usability matter just as much as innovation. While some squads work closer to inference pipelines and LLM tooling, others focus on platform foundations, troubleshooting and reliability, data systems, or observability — all critical to delivering AI in production at scale.
What You’ll Do
- Build, test, and deploy scalable microservices for AI-powered systems, including text and voice processing
- Design developer-friendly APIs, agents and internal tools that make AI easy to use across the Telnyx product ecosystem
- Contribute to AI inference, embeddings, and platform services that support real-time and low-latency workloads
- Optimize performance, reliability, and observability in production environments
- Collaborate closely with Product, Infrastructure, and ML teams to bring features from ideation to production
- Troubleshoot, debug, and support critical systems running in production
- Participate in code reviews and uphold high engineering and operational standards
Depending on the squad, your focus may lean more toward inference pipelines, platform foundations, observability, data systems, or production troubleshooting.
Who We’re Looking For
- Someone who has built something with cutting-edge AI tooling (something that has only become possible in the last 6 months, rolling from application date). It doesn't really matter what it is; we just want to know you are building and staying up to date.
- Strong understanding of async programming, concurrency, and parallel execution
- Experience with microservice-based systems
- Excellent communication skills and the ability to work effectively across teams
Nice to Haves
- Familiarity with LLM frameworks and tools (e.g. PyTorch, Transformers, DeepSpeed, vLLM)
- Experience with distributed computing frameworks such as Ray (Ray Core, Serve, Train)
- Exposure to cloud-native stacks (Docker, Kubernetes, Prometheus, Jaeger)
- Knowledge of LLM optimization techniques (e.g. quantization, speculative decoding)
- Background in Retrieval Augmented Generation (RAG) systems
How We Hire Across Our AI Teams
Our AI Chapter is made up of multiple squads, including:
- AI application & software engineering
- Platform & infrastructure foundations
- Troubleshooting, reliability, and production support
- Data, storage, and embeddings
- Observability and performance monitoring
We hire into a shared AI engineering pipeline. During interviews, we focus on core engineering skills, system design, and problem-solving ability. Final squad alignment happens later, based on:
- Your strengths and interests
- Team needs at the time
- Where you’ll have the biggest long-term impact
This means the exact focus of the role may vary by squad, but the core expectation remains the same: building reliable, scalable AI systems in production.
Why You’ll Love It Here
At Telnyx, we’re not just building products — we’re building the future of intelligent communication. Our TelnyxAI platform empowers developers and businesses to:
- Store and serve vector embeddings at scale
- Use open-source models with our hosted inference infrastructure
- Deploy multimodal AI features across text, voice, and storage seamlessly
You’ll have the autonomy to take ownership of meaningful projects, contribute ideas that shape the product roadmap, and collaborate with talented people who care deeply about impact, quality, and long-term thinking.
#LI-KG1
#LI-VIETNAM
#LI-BRAZIL
#LI-INDIA
Ready to apply?
Apply to Telnyx
LLM Data Engineer
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WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform.
WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement.
Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.
Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.
- Degree in a quantitative or technical discipline (computer science, engineering, etc.)
- Basic knowledge of probability and statistical theory
- At least 2 years’ experience in developing and managing scalable and robust data pipelines
- Have a deep understanding of machine learning, and experience in training, inference, and evaluation.
- Experience with LLM technologies and agentic systems
- Excellent Python coding skills; familiarity with pandas / polars / duckdb is required
- Strong analytical skills and attention to detail
- Excellent communication skills in both verbal and written form
- Ability to operate in a collaborative, team-oriented culture
- Proactive and mature approach to problem-solving and project management
- Experience with Kubernetes (k8s) for deployment is preferred
- Experience with monitoring and alerting tools is preferred
- Familiarity with infrastructure management and deployment and ML Ops is preferred
What We Offer:
- Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday
- We offer a strong culture of learning and development: training courses, library, speakers, share and learn events
- Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people
- Premium Health Insurance and Employee Assistance Program
- Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family
- Team building activities every month: Local engagement events – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc.
- Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams
- Happy-hour with tea break, snacks and meals every day in the office!
#LI-VP1
By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction.
Copyright © 2025 WorldQuant, LLC. All Rights Reserved.
WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.
Ready to apply?
Apply to WorldQuantNLP Data Engineer
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WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform.
WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement.
Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.
Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.
The Role: As an NLP Data Engineer at WorldQuant, you will be at the heart of transforming unstructured text into actionable, high‑value insights that power quantitative investment strategies. This is a hands-on, engineering role where you’ll design, build, and scale the data pipelines that underpin our data research. This role is ideal for someone who loves building production systems, enjoys working deeply with text and large language models, and wants their engineering work to empower quantitative research at the firm. You’ll join a highly technical, collaborative environment where you work closely with Research and where your ideas can quickly translate into impact at scale.
What You’ll Bring:
- BSc/M.Sc. from a leading university in Computer Science, Engineering, or related discipline
- 5 years of demonstrated experience programming scalable and robust software in Python
- Demonstrated experience building or maintaining data pipelines
- Basic knowledge of probability and statistical theory
- Experience working in Linux environments
- Experience with building and operating ML inference pipelines.
- Experience with using LLM for structured data extraction.
- Strong communication skills; ability to express complex concepts in simple terms
- Experience in the financial services industry is a big plus
- Knowledge of workflow scheduling techniques (e.g. Airflow) is a plus
- Prior experience working with text data in a data science/quantitative project environment
What We Offer:
- Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday
- We offer a strong culture of learning and development: training courses, library, speakers, share and learn events
- Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people
- Premium Health Insurance and Employee Assistance Program
- Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family
- Team building activities every month: Local engagement events – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc.
- Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams
- Happy-hour with tea break, snacks and meals every day in the office!
#LI-QM1
By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction.
Copyright © 2025 WorldQuant, LLC. All Rights Reserved.
WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.
Ready to apply?
Apply to WorldQuant