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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
NLP 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 WorldQuantPython Developer
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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: Our group builds the software that enables large‑scale quantitative research at the core of WorldQuant’s platform. We are embarking on a multi‑year effort to develop a powerful, scalable, and efficient platform that will support the firm’s growth over the next decade. We are looking for someone who can take ownership of complex technical challenges and bring strong experience, judgment, and perspective to the team.
What You’ll Bring:
- At least 7 years of experience writing production‑quality Python code on Linux
- Willingness to learn C++ is required; prior experience with C++ is a strong plus
- Strong interest and motivation to work with machine learning, deep learning, and backtesting platform design and development (Prior experience is not required but is considered a strong plus)
- Solid understanding of Linux system programming fundamentals
- Proven ability to design and develop large‑scale, distributed systems
- Strong knowledge of data structures, algorithms, high‑performance application design, and concurrency patterns
- Self‑motivated and able to work independently with minimal guidance
- Proficiency in English
-
Nice to Have:
- Systems for managing and performing computation on large‑scale graph data
- Streaming or dataflow systems
- Experience in financial services (not required)
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 WorldQuantQuantitative Research Intern (LLMs & AI Agents)
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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.
The Role: Research is at the core of WorldQuant. Through rigorous exploration and unconstrained thinking about how to apply data to the financial markets, our researchers are in constant search of new alphas. Researchers at WorldQuant employ tested processes seeking to identify high-quality predictive signals that we believe are undiscovered by the wider market. These signals are mathematical expressions of data that are used as inputs in our quantitative models.
WorldQuant is seeking an exceptional individual to join the firm as a Quantitative Research Intern. The person must have a good understanding of the investment research process to create computer-based models that seek to predict movements of global financial markets. This position is responsible for assisting with daily research and analysis tasks – which includes scripting for monitoring and alpha signal analysis. Candidates need not have prior knowledge of financial markets, but must have a strong interest in learning about stock markets and other capital markets. Successful candidates will self-starters, have a research scientist mind-set, and be creative and persevering deep thinkers who are motivated by unsolved challenges. Our highly accomplished senior staff will provide the interns with mentoring and guidance to help them succeed.
What You’ll Bring:
- Candidates holding or pursuing a BS (Hons), MS or PhD in Computer Science, Artificial Intelligence, Computer Vision, Machine Learning, Data Science or Mathematics are strongly preferred
- Exceptional candidates without an advanced degree will also be considered. Prior quant analysis or trading experience is a benefit.
- Programming skills is a must (Python/ C++/Java)
- Have deep learning, LLM, NLP or prompt engineering course work or experience is a plus
- Participated in national and international mathematics or programming competitions (preferred)
What We Offer:
- 6-month learning and development path – challenge your intellectual mind
- Competitive compensation package with clear career road-map – opportunities to transition to a full-time role
- Online Medical support
- Team building activities every month – employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc.
- Happy-hour with tea break, snacks and meals every day!
#LI-NV1
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