See yourself at Twilio

Join the team as our next Staff Software Engineer in the Enterprise AI Engineering team.

About the job

Twilio is undergoing a major business transformation powered by Enterprise AI, supported by a dedicated engineering team building the foundations for a unified, secure, and scalable operating system across GTM functions (Sales, Support, Operations, etc.) as well as Internal non-GTM functions (Finance, HR, Legal, etc.) Our platform is designed to support a multitude of business functions by deploying intelligent agentic solutions that automate complex workflows and deliver unprecedented user experiences. We're building the future of work at Twilio, and this role offers the opportunity to be at the forefront of enterprise AI innovation. This role focuses specifically on transforming how Twilio's Customer Support organization operates through AI-powered tools and agentic products.

We are looking for Full-Stack Engineers who view AI as a fundamental shift in the software development lifecycle of engineering products and the delivery of beautiful, engaging user experiences.  This is an opportunity to deliver innovative software products and solutions across every business function in the company such as Sales, Marketing, GTM, HR, Finance and Legal.

Joining this team means building production grade, full-stack AI applications. You won’t just be wrapping APIs; you will be engineering the entire lifecycle of agentic applications.

As a Staff Software Engineer within Enterprise AI, you are the technical heartbeat of our products. Your role is to bridge the gap between bleeding-edge AI research and robust, full-stack production systems.

Responsibilities

In this role, you’ll:

• Co-lead the design and development of our software infrastructure, driving technical vision and strategy to ensure scalability, reliability, and performance.
• Drive the development of sophisticated, stateful web applications. You will oversee the integration of complex React-based front-ends with backend modular services, ensuring a seamless UI experience.
• Serve as developer leader in distributed systems, data technologies, with strong software engineering skills.
• Drive technical innovation and research to stay at the forefront of emerging data technologies and best practices.
• Mentor and elevate a team of high-performing engineers. You don’t just write great code; you foster a culture of technical excellence, helping senior and mid-level engineers level up through deep-dive code reviews and architectural workshops.
• Collaborate closely with cross-functional teams to understand business requirements and translate them into scalable and efficient technical solutions.
• Continuously adapt to the evolving JavaScript ecosystem to maximize engineering efficiency.
• Ensure data quality, integrity, and security throughout the data lifecycle, adhering to industry best practices and compliance standards.

Qualifications 

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

*Required:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 8+ years of experience in data engineering, software development, or a related field, with at least 3 years in a technical leadership role.
• Experience with full-stack development building web apps, using modern programming languages such as JavaScript, Typescript or React.
• Proven track record of architecting and delivering complex data projects at scale, with a deep understanding of data infrastructure and distributed systems.
• Strong understanding of data modeling, data warehousing, and ETL processes, with experience designing and optimizing data pipelines.
• Excellent communication and collaboration skills, with the ability to influence technical decisions and drive alignment across teams.
• Strong leadership skills, with a track record of mentoring and developing high-performing engineering teams.
• Demonstrated ability to thrive in a fast-paced, dynamic environment and deliver results under tight timelines.

Desired:

• Experience developing production-quality LLM applications and using modern agent frameworks such as Langchain, Langgraph, Llamaindex, LangSmith, LangFuse, CrewAI, and/or others is a plus.
• Expertise in big data technologies such as Hadoop, Spark, Kafka, and cloud-based data services (AWS/GCP/Azure).

Location

This role will be remote and based in Colombia.

Travel 

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.

What We Offer

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

NEORIS es un acelerador Digital que ayuda a las compañías a entrar en el futuro, teniendo 20 años de experiencia como Socios Digitales de algunas de las mayores compañías del mundo. Somos más de 4,000 profesionales en 11 países, con nuestra cultura multicultural de startup en donde cultivamos innovación, aprendizaje continuo para crear soluciones de alto valor para nuestros clientes.

Estamos en búsqueda de Data Scientist

Principales responsabilidades:

• Experto en analizar, interpretar y transformar datos en información accionable para la toma de decisiones estratégicas. Combina habilidades en estadística, programación y conocimiento del negocio para desarrollar modelos predictivos, identificar patrones y resolver problemas complejos utilizando datos.

Requerimientos:

• Experiencia entre 2 a 4 años como Data Scientist
• Experiencia con lenguajes de programación como Python, R o Julia.
• Conocimiento en herramientas y bibliotecas de aprendizaje automático (TensorFlow, Scikit-learn, PyTorch).
• Experiencia en manejo de bases de datos (SQL, NoSQL) y herramientas de big data (Spark, Hadoop).
• Competencia en estadística, probabilidad y matemáticas avanzadas.
• Habilidades en herramientas de visualización (Tableau, Power BI, matplotlib, Seaborn).
• Deseable un posgrado o certificaciones en Ciencia de Datos o campos afines.
• Certificaciones recomendadas: Google Data Scientist Professional, Microsoft Certified: Data Scientist Associate o similares.

Ofrecemos:

• Salario competitivo.
• Medicina prepagada.
• NEORIS Days (3 días libres).
• Bonificación por cumplimiento anual.
• Bono vacacional.
• Herramientas corporativas.
• Plataformas de capacitación y entrenamiento.
• Trabajo remoto

Te invitamos a conocernos en http://www.neoris.com, Facebook, LinkedIn, Twitter o Instagram: @NEORIS.

Manuel Lunahuana

(LI-ML2)

EPAM NEORIS is a Digital accelerator that helps companies enter the future, having 20 years of experience as Digital Partners of some of the largest companies in the world. We have more than 4,000 professionals in 11 countries, with our multicultural startup culture where we cultivate innovation, continuous learning to create high-value solutions for our clients.

We are looking for a Data Engineer - GCP

Requirements:

• Data Ingestion
• + 3 years SQL (ETL, Complex Database Scripting)
• Data Extraction from various sources (Files, Plans, Excel, MS SQL / Oracle / Snowflake / Hana / SAP ECC / ERPs) (Structured Data / Unstructured Data) (At least 3 different types)
• Desirable: Spark (ETLS, Distributed Systems for High Data Volumes)

Data Integration & Transformation (Data Pipelines) (Automated ETL Process)

• + 3 years Python (ETLs, Pipelines) for Machine Learning
• Experience in data preparation for Data Science teams, from the review of Sources, their Cleaning, Integration and Data Transformation.
• Tagging Data Sets (Data Annotation Toolset) GCP
• Experience in Transformations for Model Types (Supervised (Labels delivered) / Unsupervised (model finds patterns))
• Experience creating data ingestion processes to models, to generate predictions.
• 2 years Data Cleansing
• Data Wrangling
• Data Cleansing
• Data Quality

Cloud computing

• · + 2 years GCP
• · API Management, Azure Pipelines, Log Analytics, Azure Functions, Databricks, Storage – SQL Azure / CosmosDB / Table Storage / Blob Storage)
• GIT: GitHub, BitBucket.
• CI/CD, Jenkins, Azure Pipelines, Airflow.

Bigdata

• Spark, Hadoop, among others
• NoSQL (Mongo, Cosmos)

We offer:

• Professional growth
• Dynamic work environment
• Attractive benefits plan
• Benefits of law and superiors

Come and meet us on: http://www.neoris.com, on Facebook, LinkedIn, Twitter, or Instagram @NEORIS.

Brenda Catzin

#LI-BC2