Información Importante

Ubicación: Perú

Modalidad de trabajo: Híbrido, asistencia 1 -2 veces por semana a oficina

Resumen del puesto

Como un Business Analyst (20646), formarás parte de un equipo tecnológico y ágil altamente calificado por respaldar y desarrollar soluciones de vanguardia para cumplir con los requisitos de nuestro negocio. Nos ayudará a acelerar los resultados empresariales de nuestros clientes mediante la innovación de productos digitales de vanguardia.

Responsabilidades y Funciones

• Levantar, analizar y documentar requerimientos funcionales y no funcionales asegurando claridad y entendimiento entre negocio y tecnología.
• Colaborar con Product Managers, UX Designers y Developers en la definición de soluciones digitales alineadas a las necesidades del usuario.
• Mapear procesos actuales, identificar oportunidades de mejora y apoyar en la optimización de flujos de trabajo.
• Participar activamente en ceremonias ágiles, apoyando en la gestión del backlog, definición de criterios de aceptación y seguimiento de iniciativas.
• Estructurar la data del squad, realizar estimaciones de impacto para las funcionalidades nuevas y medir impacto post lanzamiento.
• Apoyar en actividades de Discovery.

Requisitos y Habilidades

• Profesionales de Ing. de Sistemas, Informática, Industrial, Administración o afines con +3 años de experiencia como Analista de Negocio o Analista Funcional en entornos ágiles.
• Experiencia muy deseable en banca o financieras.
• Conocimiento de herramientas colaborativas como Confluence, Jira, Miro o Figma.
• Conocimientos de conciliaciones contables y control de diferencias.
• Experiencia en gestión de incidentes y eventos de pérdida.
• Experiencia en análisis de quiebres operativos, seguimiento y alineamiento con áreas como Legal, Reclamos, Operaciones y Digital.
• Conocimiento de sistemas/plataformas bancarias.
• Capacidad de análisis de datos utilizando Excel y conocimiento básico de SQL.
• Capacidad analítica, organización y orientación a resultados.
• Buenas habilidades de comunicación y trabajo colaborativo con stakeholders técnicos y de negocio.

Acerca de Encora

Encora es el socio preferido de ingeniería digital y modernización de algunas de las principales empresas del mundo y empresas nativas digitales. Con más de 9,000 expertos en 47+ oficinas y laboratorios de innovación en todo el mundo, las prácticas tecnológicas de Encora incluyen Ingeniería y Desarrollo de Productos, Servicios en la Nube, Ingeniería de Calidad, DevSecOps, Datos y Análisis, Experiencia Digital, Ciberseguridad e Ingeniería de IA y LLM.

En Encora, contratamos profesionales únicamente en función de sus habilidades y calificaciones, y no discriminamos en función de la edad, discapacidad, religión, género, orientación sexual, estado socioeconómico o nacionalidad.

Important Information

Experience: +6 years

Job Mode: Full-time

Work Mode: Remote

ID: OPP00051-1

Responsibilities and Duties

• Digest requirement from product team and lead the elaboration of high level design for high availability, performance and scalability features for cloud systems; 
• Raise and discuss trade-offs of different design approaches elaborating detailed design documents; 
• Implement solution from coding to testing to production deployment support; 
• Follow agile processes and participate actively in all development phases.

Essential Skills 

• Experience with Golang (Go) programming language;  
• Extensive experience with modeling, producing and consuming web services based APIs (RESTful or SOAP based); 
• Experience on Cloud Service Orchestration; 
• Experience with Cloud Development; 
• Experience with backend systems development; 
• Proven proficiency with object-oriented software development; 
• Proven experience on complex architectural design for cloud-based applications; 
• Design Patterns; 
• Experience with SQL and NoSQL databases such as PostgreSQL, SQL Server, Oracle, MongoDB, Cassandra. 

Highly Desirable Skills 

• Competent in one or more programming language(s): Go (Golang), Python, Node, C#, C and C++, Java; 
• Knowledge on testing (Unit Test, Feature Test, Integration); 
• Knowledge of cloud platforms and technologies including Google Cloud, Aws, Azure; 
• Experience working with Kubernetes and OpenShift; 
• Exposure to and/or experience with Serverless applications; 
• An understanding of software design patterns, pipeline automation and software testing principles and methodologies; 
• Familiar with designing, coding, deploying and debugging microservices applications; 
• Strong Scripting and automation skills; 
• Passionate about solving problems in code; 
• Is proactive and easily trouble shoots and resolves issues relating to customer service, product, process and tools; 
• Comfortable with Linux Environment and shell scripting.

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Important Information 

Location: Brazil
Job Mode: Full-time 
Work Mode: Work from home

Responsibilities and Duties

• Digest requirement from product team and lead the elaboration of high level design for high availability, performance and scalability features for cloud systems; 
• Raise and discuss trade-offs of different design approaches elaborating detailed design documents; 
• Implement solution from coding to testing to production deployment support; 
• Follow agile processes and participate actively in all development phases.

Essential Skills 

• Experience with Golang (Go) programming language;  
• Extensive experience with modeling, producing and consuming web services based APIs (RESTful or SOAP based); 
• Experience on Cloud Service Orchestration; 
• Experience with Cloud Development; 
• Experience with backend systems development; 
• Proven proficiency with object-oriented software development; 
• Proven experience on complex architectural design for cloud-based applications; 
• Design Patterns; 
• Experience with SQL and NoSQL databases such as PostgreSQL, SQL Server, Oracle, MongoDB, Cassandra. 
  

Highly Desirable Skills 

• Competent in one or more programming language(s): Go (Golang), Python, Node, C#, C and C++, Java; 
• Knowledge on testing (Unit Test, Feature Test, Integration); 
• Knowledge of cloud platforms and technologies including Google Cloud, Aws, Azure; 
• Experience working with Kubernetes and OpenShift; 
• Exposure to and/or experience with Serverless applications; 
• An understanding of software design patterns, pipeline automation and software testing principles and methodologies; 
• Familiar with designing, coding, deploying and debugging microservices applications; 
• Strong Scripting and automation skills; 
• Passionate about solving problems in code; 
• Is proactive and easily trouble shoots and resolves issues relating to customer service, product, process and tools; 
• Comfortable with Linux Environment and shell scripting.

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Información Importante

Ubicación: Perú

Modalidad de trabajo: Hibrido - 1 a 2 veces por semana en Miraflores. Apto para residentes fuera de Lima con disponibilidad de acceso cuando se requiera.

Resumen del puesto

Responsabilidades y Funciones

• Ejecutar pruebas funcionales, de regresión y pruebas de aceptación de usuario (UAT).
• Diseñar, documentar y mantener casos de prueba manuales y automatizados.
• Participar en la automatización de pruebas y mejora continua de procesos QA.
• Realizar pruebas de performance utilizando herramientas como JMeter.
• Ejecutar pruebas de APIs y validar integraciones entre sistemas.
• Identificar, registrar, hacer seguimiento y validar la corrección de defectos.

Requisitos y Habilidades

• +4 años de experiencia profesional como QA
• +2 años de experiencia en automatización de pruebas.
• 2 a 4 años de experiencia en pruebas funcionales, regresión y UAT.
• 2 años de experiencia en banca o proyectos relacionados (banca digital, créditos, ahorros).
• Certificación ISTQB Foundation.
• Experiencia en pruebas de performance con JMeter.
• Experiencia en API Testing.Manejo de Jira y Xray.
• Experiencia en gestión de defectos.
• Conocimiento de métricas de calidad.
• Nivel intermedio en bases de datos (DB2 / SQL Server).
• Experiencia con Git.

Deseables:

• Conocimiento de BanTotal.
• Experiencia con herramientas de análisis de código y seguridad (SonarQube, Veracode).
• Conocimientos en GCP.
• Conocimiento de ESB.

Acerca de Encora

Encora es el socio preferido de ingeniería digital y modernización de algunas de las principales empresas del mundo y empresas nativas digitales. Con más de 9,000 expertos en 47+ oficinas y laboratorios de innovación en todo el mundo, las prácticas tecnológicas de Encora incluyen Ingeniería y Desarrollo de Productos, Servicios en la Nube, Ingeniería de Calidad, DevSecOps, Datos y Análisis, Experiencia Digital, Ciberseguridad e Ingeniería de IA y LLM.

En Encora, contratamos profesionales únicamente en función de sus habilidades y calificaciones, y no discriminamos en función de la edad, discapacidad, religión, género, orientación sexual, estado socioeconómico o nacionalidad.

Información Importante 

Ubicación: Perú 

Modalidad de trabajo: Híbrido

Resumen del puesto 

Como un Senior Gestor del Cambio (19250), formarás parte de un equipo tecnológico y ágil altamente calificado por respaldar y desarrollar soluciones de vanguardia para cumplir con los requisitos de nuestro negocio. Nos ayudará a acelerar los resultados empresariales de nuestros clientes mediante la innovación de productos digitales de vanguardia. 

Responsabilidades y Funciones 

• Liderar la estrategia de Gestión del Cambio en iniciativas estratégicas y transversales del banco, asegurando adopción efectiva y sostenible
  
• Diseñar, ejecutar y dar seguimiento a planes de gestión del cambio alineados a los objetivos del negocio y al roadmap de los proyectos
  
• Aplicar la metodología ADKAR para gestionar impactos, resistencias y adopción del cambio a nivel organizacional
  
• Gestionar stakeholders clave, riesgos del cambio e indicadores de adopción, articulando equipos multidisciplinarios y asesorando a líderes y sponsors

Requisitos y Habilidades 

• Profesional universitario de Ingeniería de Sistemas, Industrial, Informática, Administración o carreras afines
  
• Experiencia sólida en Gestión del Cambio Organizacional en contextos de transformación
  
• Experiencia en gestión de proyectos bajo enfoques tradicionales (Cascada / Waterfall) y ágiles (Scrum / Agile)
  
• Experiencia implantando cambios asociados a herramientas, procesos o modelos operativos
  
• Muy deseable experiencia en el sector financiero o en entornos altamente regulados
  
• Conocimiento práctico y aplicación de la metodología ADKAR
  
• Capacidad para definir y monitorear indicadores de adopción, impacto y efectividad del cambio
  
• Habilidades de liderazgo por influencia, negociación y manejo de stakeholders complejos
  
• Comunicación clara y efectiva a todo nivel organizacional, con enfoque metodológico y analítico
  
• Inglés deseable para lectura y escritura intermedia, con comunicación básica

Acerca de Encora 

Encora es el socio preferido de ingeniería digital y modernización de algunas de las principales empresas del mundo y empresas nativas digitales. Con más de 9,000 expertos en 47+ oficinas y laboratorios de innovación en todo el mundo, las prácticas tecnológicas de Encora incluyen Ingeniería y Desarrollo de Productos, Servicios en la Nube, Ingeniería de Calidad, DevSecOps, Datos y Análisis, Experiencia Digital, Ciberseguridad e Ingeniería de IA y LLM. 

En Encora, contratamos profesionales únicamente en función de sus habilidades y calificaciones, y no discriminamos en función de la edad, discapacidad, religión, género, orientación sexual, estado socioeconómico o nacionalidad. 

At JetBrains, code is our passion. Ever since we started back in 2000, we have been striving to make the world’s most robust and effective developer tools. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

We are now building services and agentic tools that provide AI coding agents and end users with deeper context about codebases. Our code retrieval service already delivers meaningful improvements in agent speed and task performance, and we aim to push this further – extracting richer insights than snippets alone at the scale of several hundred thousand repositories. 

We are looking for an AI Engineer who can design and implement agentic tools from scratch, bring them to the end users, and make coding with agents smarter, faster, and more reliable.

In this role, you will:

• Translate product needs into agentic tools and services and ship them to production.
• Scale prototypes to large numbers of users.
• Improve and test our semantic search service.
• Build evaluation pipelines for code retrieval and coding task performance.

We’ll be happy to have you on our team if you have:

• At least five years of hands-on NLP experience.
• Experience in information retrieval systems.
• Strong experience in LLM prompt and tool engineering, as well as with AI agents.
• Solid programming skills in Python and/or Kotlin (and the willingness to learn the language you’re unfamiliar with).
• Experience building and operating production-grade software systems.

We’d be especially thrilled if you have:

• Experience developing in Kotlin or Java.
• Previously worked with code intelligence (e.g. AST, symbol graphs).

#LI-DNI

Información Importante 

Ubicación: Perú 

Modalidad de trabajo: Híbrido, asistencia a oficina en Surquillo

Resumen del puesto 

Como un Senior Gestor del cambio (19250), formarás parte de un equipo tecnológico y ágil altamente calificado por respaldar y desarrollar soluciones de vanguardia para cumplir con los requisitos de nuestro negocio. Nos ayudará a acelerar los resultados empresariales de nuestros clientes mediante la innovación de productos digitales de vanguardia. 

Responsabilidades y Funciones 

• Definir y liderar la estrategia de Gestión del Cambio en proyectos de alto impacto, alineando las iniciativas con los objetivos del negocio y la transformación organizacional.
  
• Diseñar, ejecutar y dar seguimiento a planes de gestión del cambio, asegurando la correcta adopción, uso y sostenibilidad de los cambios implementados.
  
• Aplicar el modelo ADKAR para gestionar la adopción del cambio a nivel organizacional, identificando impactos, resistencias y planes de mitigación.
  
• Gestionar y movilizar stakeholders clave, asesorando a líderes, sponsors y equipos en la correcta implementación de acciones de cambio y toma de decisiones oportunas.

Requisitos y Habilidades 

• Profesional universitario en Ingeniería de Sistemas, Ingeniería Industrial, Informática, Administración o carreras afines.
  
• Experiencia en Gestión del Cambio Organizacional en contextos de transformación.
  
• Experiencia en gestión de proyectos bajo enfoques tradicionales y ágiles.
  
• Experiencia en cambio cultural y organizacional, liderando cambios asociados a herramientas, procesos o modelos operativos.
  
• Conocimiento práctico de la aplicación del modelo ADKAR o HCMBOK.
  
• Deseable experiencia en el sector financiero o en entornos regulados.
  
• Inglés deseable (lectura, escritura - intermedio y comunicación - básico).
• Capacidad de liderazgo por influencia, movilizando equipos y generando compromiso.
  
• Habilidades de comunicación efectiva, negociación y manejo de stakeholders complejos.
  
• Pensamiento analítico, enfoque estructurado y visión holística del negocio.
  
• Orientación a resultados, adaptabilidad y enfoque en la sostenibilidad del cambio.

Acerca de Encora 

Encora es el socio preferido de ingeniería digital y modernización de algunas de las principales empresas del mundo y empresas nativas digitales. Con más de 9,000 expertos en 47+ oficinas y laboratorios de innovación en todo el mundo, las prácticas tecnológicas de Encora incluyen Ingeniería y Desarrollo de Productos, Servicios en la Nube, Ingeniería de Calidad, DevSecOps, Datos y Análisis, Experiencia Digital, Ciberseguridad e Ingeniería de IA y LLM. 

En Encora, contratamos profesionales únicamente en función de sus habilidades y calificaciones, y no discriminamos en función de la edad, discapacidad, religión, género, orientación sexual, estado socioeconómico o nacionalidad. 

Información Importante

Ubicación: Perú

Modalidad de trabajo: Híbrido, asistencia a oficina en Surquillo 2-3 veces por semana

Resumen del puesto

Como un Data Governance (20616), formarás parte de un equipo tecnológico y ágil altamente calificado por respaldar y desarrollar soluciones de vanguardia para cumplir con los requisitos de nuestro negocio. Nos ayudará a acelerar los resultados empresariales de nuestros clientes mediante la innovación de productos digitales de vanguardia.

Requisitos y Habilidades

• Profesionales de Ing. de Sistemas, Software, Informática o afines con +4 años de experiencia en Gobierno de Datos.
• Experiencia aplicando DAMA-DMBOK.
• Conocimiento básicos de BIAN, COBIT, DMM
• Experiencia con Marcos de Gobierno, Modelos de Gobierno de datos.
• Experiencia elaborando lineamientos, políticas de gobierno y calidad de datos.
• Experiencia trabajando con Databricks, Oracle.
• Experiencia en Calidad de Datos (implementación de reglas, tableros de calidad)
• Experiencia con herramientas de Gobierno y Calidad de Datos como Collibra, Montecarlo, Hana, Informática, otras.
• Dominio de Copilot

Acerca de Encora

Encora es el socio preferido de ingeniería digital y modernización de algunas de las principales empresas del mundo y empresas nativas digitales. Con más de 9,000 expertos en 47+ oficinas y laboratorios de innovación en todo el mundo, las prácticas tecnológicas de Encora incluyen Ingeniería y Desarrollo de Productos, Servicios en la Nube, Ingeniería de Calidad, DevSecOps, Datos y Análisis, Experiencia Digital, Ciberseguridad e Ingeniería de IA y LLM.

En Encora, contratamos profesionales únicamente en función de sus habilidades y calificaciones, y no discriminamos en función de la edad, discapacidad, religión, género, orientación sexual, estado socioeconómico o nacionalidad.

Software engineers and AI agents alike suffer from the same problem: finding that one person or place that will answer their tough, specific question. Many solutions promise to solve this with similarity search in vector databases. Unfortunately, finding the answer is often a puzzle with pieces to be collected across a myriad of contradictory sources and cannot be solved without surgical search and careful reasoning.

Spectrum collects data from an organization's code, docs, and issues, and organizes knowledge in a unified ontology that AI agents can efficiently search through and reason over. We aim to revolutionize the semantic layer space for software-building organizations and move beyond specs that fall out of sync with code, introducing a living spec – one that's extracted from the whole system and used to keep it aligned. Spectrum is meant to be the single source of truth for all product and architectural knowledge.

A resident of JetBrains' startup incubator, Spectrum enjoys startup speed and autonomy, and is backed by 25 years of developer tooling expertise. We are looking for a Senior ML Researcher to develop the core methods that make Spectrum possible – novel approaches to temporal ontology extraction, contradiction detection, and semantic alignment across heterogeneous software artifacts. You will help define and execute the research agenda, while also collaborating with JetBrains Research and external academic advisors.

Your responsibilities will include:

• Developing methods for LLM-based ontology construction from code, documentation, and issue trackers, including contradiction detection and reasoning over the resulting knowledge graph.
• Creating datasets, metrics, and benchmarks that drive measurable improvements across the system.
• Prototyping and validating research ideas, then collaborating with ML and software engineers to bring them to production.
• Collaborating with JetBrains Research and external academic advisors to shape our research agenda.
• Publishing research findings at top venues and representing Spectrum in the research community.

We expect you to have:

• A PhD (or equivalent research experience) in NLP, knowledge graphs, ontology learning, information extraction, or a closely related field.
• A strong publication record in at least one of the following areas: knowledge graph construction, ontology learning, information extraction, or NLP.
• Experience applying LLMs to structured knowledge extraction tasks.
• Experience designing and running rigorous experiments, including hypothesis formulation, ablation studies, and statistical evaluation.
• Strong Python and PyTorch skills, with the ability to implement research ideas from scratch.
• Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences.
• Proficiency in English, both written and verbal.

Our ideal candidate would also have:

• Experience with ontology engineering, semantic web technologies (OWL, RDF, SPARQL), or ontology alignment.
• A background in code analysis, developer tools, or software engineering research.
• Experience with knowledge graph embedding methods or graph neural networks.
• Experience in early-stage startups – you enjoy the zero-to-one phase.
• Actively contributed to relevant open-source projects.

What we offer:

• A competitive salary and JetBrains benefits.
• A generous runway and corporate resources with startup autonomy.
• Full support for publishing ML research and attending industry conferences.
• Collaboration with JetBrains Research and external academic advisors in the knowledge graph and ontology learning community.
• A motivated team that moves fast, with short feedback loops, rapid prototyping, and lots of ownership.
• A rare applied research role where your methods ship in a real product used by software teams.

Why join JetBrains? 

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-DNI

At JetBrains, code is our passion. Ever since we started back in 2000, we have been striving to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

The Python Ecosystem team builds PyCharm – one of the most popular Python IDEs in the world – along with the Python plugin for IntelliJ IDEA. As AI changes how developers write, debug, and ship code, we’re making our Python tools AI-native. We’re looking for an AI Lead to drive this effort by shaping the architecture, building key components hands-on, and guiding the team in making strong decisions around AI-powered product development.

In this role, you will:

• Lead the technical design of AI features in PyCharm and our Python tooling, including MCP integrations, agent workflows, tool design, and context management.
• Prototype and ship features yourself – this is a hands-on technical leadership role.
• Help the team adopt AI technologies effectively by providing technical guidance, reviewing approaches, and sharing practical patterns.
• Evaluate emerging AI tools, frameworks, and providers, and make pragmatic decisions about what to build and what to integrate.
• Work closely with product managers, ML engineers, QA specialists, and senior developers to turn product ideas into solid technical plans.
• Navigate a large Kotlin/Java codebase and expose IntelliJ Platform capabilities – such as code analysis, inspections, refactorings, and type inference – to AI-powered workflows.
• Contribute to cross-team AI efforts and help define shared engineering patterns where appropriate.

We’d love to talk to you if you have:

• Strong software engineering experience, particularly in Python and/or Kotlin/JVM.
• Deep, hands-on familiarity with modern AI tooling for developers, including coding assistants, agents, MCP, and LLM-based workflows.
• Experience working in large, mature codebases and delivering meaningful technical change without compromising quality.
• Familiarity with LLM evaluation and benchmarking.
• A track record of making good technical decisions in fast-moving, ambiguous areas like proposing architectures, building prototypes, and iterating based on feedback.
• Strong communication skills and the ability to influence technical direction without formal authority.
• A strong product sense and care about solving real user problems, not just building interesting technology.

Nice to have:

• Experience with IDE or developer tooling internals, such as language servers, code analysis, or related systems.
• Experience with the Python AI/ML ecosystem.

Why join JetBrains? 

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Relocation support. We help make your move as smooth and stress-free as possible. (keep if relevant for the role)
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-DNI 

Información Importante
Ubicación: Perú
Modalidad de trabajo: Híbrido

Resumen del puesto 

Como un Senior Líder Técnico (18506), formarás parte de un equipo tecnológico y ágil altamente calificado por respaldar y desarrollar soluciones de vanguardia para cumplir con los requisitos de nuestro negocio. Nos ayudará a acelerar los resultados empresariales de nuestros clientes mediante la innovación de productos digitales de vanguardia. 

Responsabilidades y Funciones

• Liderar técnicamente el ciclo de desarrollo de software (end to end).
• Definir y validar arquitecturas, diseños técnicos y estándares de desarrollo.
• Asegurar buenas prácticas de código, calidad y software seguro.
• Identificar dependencias técnicas, riesgos y requerimientos no funcionales.
• Supervisar temas de performance, disponibilidad y seguridad.
• Brindar mentoring y acompañamiento técnico al equipo.
• Coordinar con equipos multidisciplinarios para asegurar entregas exitosas.

Requisitos y Habilidades

• +5 años de experiencia en liderazgo técnico en desarrollo de software.
• Sólido conocimiento en Java y su ecosistema.
• Experiencia liderando equipos con tecnologías móviles (Android, Kotlin, iOS).
• Conocimiento avanzado en arquitectura de software y diseño técnico.
• Experiencia en CI/CD y automatización de despliegues.
• Manejo de herramientas de calidad y seguridad de código (SonarQube, Fortify u otros).
• Experiencia identificando y gestionando vulnerabilidades.
• Conocimiento en plataformas cloud y herramientas DevOps (Azure DevOps, API Management o similares).
• Deseable experiencia en gestión de presupuestos tecnológicos.
• Habilidades de liderazgo, comunicación y toma de decisiones.

Acerca de Encora 

Encora es el socio preferido de ingeniería digital y modernización de algunas de las principales empresas del mundo y empresas nativas digitales. Con más de 9,000 expertos en 47+ oficinas y laboratorios de innovación en todo el mundo, las prácticas tecnológicas de Encora incluyen Ingeniería y Desarrollo de Productos, Servicios en la Nube, Ingeniería de Calidad, DevSecOps, Datos y Análisis, Experiencia Digital, Ciberseguridad e Ingeniería de IA y LLM. 

En Encora, contratamos profesionales únicamente en función de sus habilidades y calificaciones, y no discriminamos en función de la edad, discapacidad, religión, género, orientación sexual, estado socioeconómico o nacionalidad. 

Información Importante

Ubicación: Magdalena del Mar, Lima, Perú
Experiencia: 2 años
Modalidad de trabajo: Híbrido – 2 días en oficina
Nivel de inglés: Intermedio a avanzado
Skills mandatorios: Administración de Personal, Data Analytics (PowerBi y Excel) e inglés

Resumen del puesto
Como Asistente de People & Culture (20143), serás parte de un equipo comprometido con el bienestar de nuestros colaboradores. Tu rol será esencial en la administración de personal, data analytics y bienestar. Requerimos nivel de inglés intermedio a avanzado.

Objetivo del Puesto: Apoyar en la ejecución y coordinación de los distintos procesos del área de People & Culture, tales como: acciones de administración de personal, gestión del talento, onboarding y las actividades de analítica para garantizar la disponibilidad de información en la toma de decisiones.

Requisitos:

• Egresado o Bachiller/a en Administración, Psicología Organizacional, Ingeniería Industrial, Recursos Humanos o afines.
• 2-3 años de experiencia profesional operativa en Recursos Humanos.
• Experiencia previa a nivel operativo en Administración de personal (Altas, Bajas y cambios en T-Registro, Apertura de cuentas, AFP) y Data Analytics RRHH (Reflejado en CV)
• Mandatorio: Excel Intermedio/Avanzado.
• Mandatorio: Power BI Intermedio.
• Inglés Intermedio o avanzado conversacional.
• Deseable (no mandatorio): experiencia en Power Adds.
• Buscamos profesionales con actitud y energía, para soportar estrategias de engagement.

Funciones principales:

• Soporte en la ejecución de los distintos procesos de People & Culture para la sede de Perú.
• Procesar información de indicadores de la sede, con la creación y mantenimiento de dashboards de indicadores (Excel y PowerBI)
• Apoyar en la gestión administrativa de inclusión de nuevos colaboradores en la sede y el proceso de onboarding (TRegistro, aperturas de cuentas e Inducciones).
• Gestionar el envio de los documentos legales relacionados a P&C, a través de la plataforma Concord y documentación relevante según corresponda.
• Participar en la implementación de mejora en los diferentes procesos de P&C.
• Apoyar en actividades de engagement para fortalecimiento de identidad con la empresa y seguimientos a necesidades especiales.
• Atención a clientes interno. 

Condiciones Laborales:

• Trabajo Híbrido: 2 días trabajo en oficina. Se espera flexibilidad en caso se requiera por demanda.
• Contrato en planilla con todos los beneficios de ley.
• EPS cubierto al 100% para titular.
• Acceso al Programa de Referidos.
• Programa de reconocimientos y descuentos corporativos.
• Entre otros.

Acerca de Encora
Encora es el socio preferido de ingeniería digital y modernización de algunas de las principales empresas del mundo y empresas nativas digitales. Con más de 9,000 expertos en 47+ oficinas y laboratorios de innovación en todo el mundo, las prácticas tecnológicas de Encora incluyen Ingeniería y Desarrollo de Productos, Servicios en la Nube, Ingeniería de Calidad, DevSecOps, Datos y Análisis, Experiencia Digital, Ciberseguridad e Ingeniería de IA y LLM.

En Encora, contratamos profesionales únicamente en función de sus habilidades y calificaciones, y no discriminamos en función de la edad, discapacidad, religión, género, orientación sexual, estado socioeconómico o nacionalidad.

Información Importante 

Ubicación: Perú 

Modalidad de trabajo: Híbrido 

Resumen del puesto 

Como un Mid Agile (18687), formarás parte de un equipo tecnológico y ágil altamente calificado por respaldar y desarrollar soluciones de vanguardia para cumplir con los requisitos de nuestro negocio. Nos ayudará a acelerar los resultados empresariales de nuestros clientes mediante la innovación de productos digitales de vanguardia. 

Responsabilidades y Funciones 

• Liderar la entrega de software end to end en uno o más equipos multidisciplinarios, asegurando el cumplimiento de objetivos, plazos y calidad mediante la correcta aplicación de marcos ágiles.
  
• Facilitar ceremonias ágiles y espacios de alineación, promoviendo la mejora continua, la inspección y adaptación constante de los procesos de entrega.
  
• Actuar como agente de cambio y facilitador de la transformación ágil, impulsando la adopción de buenas prácticas, mindset ágil y cultura de colaboración dentro de los equipos.
  
• Remover impedimentos organizacionales, técnicos o de coordinación, gestionando dependencias y promoviendo la toma de decisiones oportuna para habilitar la entrega continua de valor.

Requisitos y Habilidades 

• Experiencia mínima de cinco años trabajando en entornos de entrega de software bajo marcos ágiles como Scrum, Kanban o modelos híbridos.
  
• Experiencia liderando o acompañando equipos multidisciplinarios en proyectos de desarrollo de software.
  
• Conocimiento sólido en prácticas de delivery, planificación ágil, gestión de dependencias y seguimiento de métricas.
  
• Capacidad para desempeñarse como coach del equipo, promoviendo autonomía, accountability y alto desempeño.
  
• Habilidades para facilitar dinámicas, retrospectivas y espacios de mejora continua orientados a resultados.
  
• Experiencia en gestión de stakeholders, con capacidad para alinear expectativas de negocio, tecnología y áreas funcionales.
  
• Capacidad para coordinar equipos técnicos, funcionales y de negocio en contextos de cambio y alta demanda.
  
• Formación profesional en Ingeniería o carreras afines; deseable maestría en Ingeniería de Software, gestión o áreas relacionadas.
  
• Conocimiento práctico de Scrum, gestión de proyectos y frameworks de escalamiento ágil.
  
• Excelentes habilidades de comunicación, liderazgo y manejo de conflictos, con enfoque en resultados y entrega de valor.

Acerca de Encora 

Encora es el socio preferido de ingeniería digital y modernización de algunas de las principales empresas del mundo y empresas nativas digitales. Con más de 9,000 expertos en 47+ oficinas y laboratorios de innovación en todo el mundo, las prácticas tecnológicas de Encora incluyen Ingeniería y Desarrollo de Productos, Servicios en la Nube, Ingeniería de Calidad, DevSecOps, Datos y Análisis, Experiencia Digital, Ciberseguridad e Ingeniería de IA y LLM. 

En Encora, contratamos profesionales únicamente en función de sus habilidades y calificaciones, y no discriminamos en función de la edad, discapacidad, religión, género, orientación sexual, estado socioeconómico o nacionalidad. 

Software engineers and AI agents alike suffer from the same problem: finding that one person or place that will answer their tough, specific question. Many solutions promise to solve this with similarity search in vector databases. Unfortunately, finding the answer is often a puzzle with pieces to be collected across a myriad of contradictory sources and cannot be solved without surgical search and careful reasoning. 

Spectrum collects data from an organization’s code, docs, and issues, and organizes knowledge in a unified ontology that AI agents can efficiently search through and reason over. We aim to revolutionize the semantic layer space for software-building organizations and move beyond specs that fall out of sync with code, introducing a living spec – one that’s extracted from the whole system and used to keep it aligned. Spectrum is meant to be the single source of truth for all product and architectural knowledge.

Spectrum is a resident of JetBrains' startup incubator, with startup speed and autonomy, and backed by 25 years of developer tooling expertise. We are looking for a top-class ML Engineer who will help us shape the future of software development. You will own our AI and ML engineering stack and help define the research agenda for our team. Your technical vision and design decisions will directly shape the product and determine its success.

Your responsibilities will include:

• Designing and building the ML/LLM solution for data ingestion, knowledge extraction, retrieval, and subsequent reasoning.
• Creating the datasets, metrics, and pipelines that drive measurable improvements across the system.
• Architecting and improving agents for context retrieval, knowledge extraction, and data alignment, which includes prompt engineering, model selection, and inference optimization.
• Establishing MLOps practices, including orchestration, observability, and experiment tracking.
• Collaborating with the engineering team on system design and with JetBrains Research on the research agenda.
• Defining hiring criteria, growing the ML team, and shaping the ML team culture.

We expect you to have:

• A proven track record as an ML/AI Lead.
• At least five years of experience in ML/AI systems, with at least two years focused on LLMs and generative AI.
• A deep understanding of the LLM ecosystem, including model architectures and fine-tuning approaches.
• Hands-on experience with:
• Prompt engineering and LLM pipeline design, including evaluation.
• Agentic frameworks such as LangChain, LlamaIndex, LangSmith, smolagents, or an equivalent.
• Vector databases and retrieval-augmented generation (RAG) patterns.
• Deploying and scaling LLM-powered applications using APIs (e.g. OpenAI or Anthropic) or open-source models.
• Strong Python skills – Kotlin knowledge would be a plus.
• Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences.
• Proficiency in English, both written and verbal. 

Our ideal candidate would have:

• Experience with ontologies, knowledge graphs, or graph-based reasoning.
• Experience in early-stage startups – you enjoy the zero-to-one phase.
• The ability to think strategically about product-led AI, beyond just training models in isolation.
• A background in code analysis, developer tools, or software engineering research.
• Experience with multi-agent systems or complex agentic workflows.
• Actively contributed to relevant open-source projects or publications.

What we offer

• A competitive salary and JetBrains benefits.
• A generous runway and corporate resources with startup autonomy.

#LI-KP1

Software engineers and AI agents alike suffer from the same problem: finding that one person or place that will answer their tough, specific question. Many solutions promise to solve this with similarity search in vector databases. Unfortunately, finding the answer is often a puzzle with pieces to be collected across a myriad of contradictory sources and cannot be solved without surgical search and careful reasoning.

Spectrum collects data from an organization's code, docs, and issues, and organizes knowledge in a unified ontology that AI agents can efficiently search through and reason over. We aim to revolutionize the semantic layer space for software-building organizations and move beyond specs that fall out of sync with code, introducing a living spec – one that's extracted from the whole system and used to keep it aligned. Spectrum is meant to be the single source of truth for all product and architectural knowledge.

A resident of JetBrains' startup incubator, Spectrum enjoys startup speed and autonomy, and is backed by 25 years of developer tooling expertise. We are looking for a Senior AI/ML Engineer to build and evolve the ML-powered systems at the heart of our product.

Your responsibilities will include:

• Designing and building the ML/LLM solution for data ingestion, knowledge extraction and retrieval, and subsequent reasoning.
• Creating datasets, metrics, and pipelines that drive measurable improvements across the system.
• Architecting and improving AI agents, which will involve prompt engineering, model selection, and inference optimization.
• Contributing to our MLOps practices, including orchestration, observability, and experiment tracking.

We expect you to have:

• At least four years of experience building ML/AI systems in production environments, with hands-on LLM experience.
• A deep understanding of the LLM ecosystem, including model architectures and fine-tuning approaches.
• Hands-on experience with:
• Prompt engineering and LLM pipeline design, including evaluation.
• Agentic frameworks such as LangGraph, Pydantic AI, or an equivalent.
• Retrieval-augmented generation (RAG) patterns and vector databases.
• Deploying and scaling LLM-powered applications using APIs (e.g. OpenAI or Anthropic) or open-source models.
• Strong Python skills – Kotlin knowledge would be a plus.
• Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences.
• Proficiency in English, both written and verbal.

Our ideal candidate would also have:

• Experience with ontologies, knowledge graphs, or graph-based reasoning.
• Experience in early-stage startups – you enjoy the zero-to-one phase.
• A background in code analysis, developer tools, or software engineering research.
• Experience with multi-agent systems or complex agentic workflows.
• Actively contributed to relevant open-source projects or publications.

What we offer:

• A competitive salary and JetBrains benefits.
• A generous runway and corporate resources with startup autonomy.
• A motivated team that moves fast, with short feedback loops, rapid prototyping, and lots of ownership.
• Opportunities to publish research at top venues in collaboration with JetBrains Research.

#LI-DNI

At JetBrains, code is our passion. Ever since we started back in 2000, we have strived to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production and free developers to focus on creativity and problem-solving.

The IntelliJ AI team develops the AI-specific core of JetBrains IDEs. We work on agentic workflows, intelligent editing assistance, and new AI-powered capabilities that redefine how developers interact with the IDEs.

We are looking for a Senior Software Developer to help us build the next generation of AI-powered features in JetBrains IDEs.

In this role, you will:

• Integrate state-of-the-art AI agents into our IDEs, continuously improving the developer experience of working with them.
• Enhance agent capabilities by equipping them with the most intelligent tools available in our IDEs.
• Create novel AI features with no direct market analogues, experimenting with and exploring the new possibilities brought by modern AI technologies.
• Measure and evaluate the performance of agents and other AI features to achieve reliability and reproducibility.

We are looking for engineers who:

• Want to help build the best IDEs in the world and push the boundaries of developer tools.
• Have strong knowledge of Java, Kotlin, or similar languages.
• Are comfortable designing and developing complex software systems.
• Are self-driven and able to take end-to-end ownership of challenging features.
• Possess strong communication skills in English, both written and verbal.

Experience that would be especially valuable:

• Building AI-powered features, especially with LLM-based systems.
• Developing IDEs, code editors, or complex desktop applications.
• Working on performance-sensitive or correctness-critical systems.
• Concurrent programming and performance optimization.

Why join JetBrains?

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family.
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Relocation support. We help make your move as smooth and stress-free as possible.
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.
  *Some benefits may vary depending on location.

#LI-IM1

At JetBrains, code is our passion. Ever since we started, back in 2000, we’ve been striving to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

Today, AI-powered assistance and agents are becoming a core part of how developers work in our IDEs. The ML Workflows Engineering team is dedicated to removing infrastructure challenges, streamlining machine learning operations (MLOps), and enabling teams to focus on the innovative work that matters most – building impactful ML models and intelligent agents. As part of the team, you'll play a key role in designing tools, automation, and pipelines that make machine learning development seamless and intuitive.

By integrating cutting-edge MLOps practices and engineering excellence, we aim to maximize productivity and remove the complexity of ML infrastructure so that our teams can push the boundaries of what’s possible in AI.

As part of our team, you will:

• Build tools, automation, and workflows to simplify infrastructure-heavy tasks, empowering AI teams to focus on experimentation and solving core challenges.
• Develop robust monitoring, logging, and tracing systems to ensure the performance and reproducibility of ML workflows in production.
• Design, implement, and maintain end-to-end machine learning pipelines to enable the seamless development, training, and deployment of ML models and intelligent agents.
• Work with large-scale distributed systems, including GPU clusters, to support training, fine-tuning, and evaluation of ML models.
• Collaborate with product and development teams to transform high-level goals into concrete, scalable, and maintainable systems.
• Optimize workflows for reproducibility, scalability, and cost-efficiency while keeping ML teams productive and focused on innovation.

We’ll be happy to have you on our team if you have:

• Hands-on experience with modern MLOps tooling, including Kubernetes, Cloud providers (GCP and AWS), and ML orchestration frameworks.
• A solid understanding of the ML lifecycle from idea to the customer-facing application.
• The ability to own projects end to end, starting from a high-level problem or product pain point and overseeing it through the design, experimentation, implementation, and iteration phases.
• A customer-centric mindset – you care about how ML engineers are actually working and can translate their needs into actionable, scalable, and maintainable architectural decisions.
• Experience with modern CI/CD systems, like GitHub Actions or JetBrains TeamCity.
• At least three years of Python experience writing clean, maintainable code in modern ML codebases.

Our ideal candidate would have experience with:

• ML orchestrators and workflow tools such as ZenML, Dagster, and Airflow.
• Developing infrastructure components and services using cluster solutions like Kubernetes.
• The development of Python-based backend services.
• Creating and maintaining ML pipelines, including legacy ones.
• Experiment tracking and observability using tools like Weights & Biases, MLflow, Langfuse, or similar.

We’d be especially thrilled if you have experience with: 

• LLM inference frameworks such as vLLM, DeepSpeed, and TensorRT.
• Writing and maintaining Python libraries used by internal (or external) ML engineers.
• A strong theoretical background in NLP and transformer-based approaches.
• Writing code in Java and/or Kotlin.

#LI-HYBRID
#LI-MR1

At JetBrains, code is our passion. Ever since we started back in 2000, we have been striving to make the world’s most robust and effective developer tools. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

We are working on an ambitious new platform that provides AI capabilities to all JetBrains products. Our platform is based on models developed in-house for writing and coding assistance, as well as integration with our strategic partners.

We are looking for a Research Engineer who can contribute to training foundation models for coding tasks. You’ll be working on developing Large Language Models from scratch and deploying them into production environments where they will be accessible by end users across the globe.

We value engineers who: 

• Can plan projects and make decisions independently, consulting with others if needed.
• Identify customer needs and prioritize their tasks accordingly.
• Start with the simplest solutions and gradually add complexity as needed.
• Take sole responsibility for an entire subsystem.
• Have a passion for learning and a desire to stay up to date with the latest developments in the LLM field.

In this role, you will: 

• Work with stakeholders to convert business requirements into technical specifications.
• Train LLMs from scratch on a large GPU cluster.
• Collect and process pre-training and fine-tuning datasets.
• Support and improve existing subsystems.

We’ll be happy to have you on our team if you have: 

• Experience in design, deployment, and support of production ML systems.
• A strong theoretical background in NLP and transformer-based approaches.
• Proficiency with modern deep learning frameworks such as PyTorch and common libraries for NLP.
• Experience in distributed training of multi-billion parameter models.
• Attention to detail in everything you do and great communication skills.

We’d be especially thrilled if you have experience with: 

• LLM inference frameworks such as vLLM, DeepSpeed, TensorRT.
• LLM alignment techniques such as RLHF/RLAIF.
• MLOps tools and practices, including CI/CD for ML.
• K8s and Kubeflow.
• Scientific publications in the NLP field.

How we develop JetBrains AI: 

• A cluster of hundreds of NVIDIA GPUs as training infrastructure.
• Git for source control management.
• Python, PyTorch, and HuggingFace as an ML stack.
• Kubeflow and Weights & Biases for experiment tracking.
• TeamCity as a CI Automation system.

#LI-KP1

At JetBrains, code is our passion. Ever since we started, back in 2000, we’ve been striving to make the strongest, most effective developer tools on earth. Today, AI-powered assistance and agents are becoming a core part of how developers work in our IDEs.

We’re building multi-step coding agents that can understand large codebases, plan changes, call tools, and iterate with the user. As a Research Engineer in the Agentic Models team, you’ll be responsible for the models, training loops, and evaluation pipelines that power these agents.

You’ll work at the intersection of SFT and RL-style post-training, and product-driven evaluation, using our distributed GPU and MapReduce clusters to ship models into JetBrains products.

As part of our team, you will:

• Design, implement, and maintain SFT and RL post-training pipelines for multi-step coding agents.
• Train and adapt LLMs for agent workflows, including planning, tool use, and multi-step interactions inside JetBrains IDEs.
• Build and develop evaluation and simulation environments where coding agents can act, be measured, and compared on realistic developer tasks.
• Design evaluation frameworks and metrics for agent behavior, analyze traces and logs, and close the loop from evaluation back into training, data, and reward design.
• Analyze training and evaluation results to propose and implement improvements to model architectures, training recipes, and datasets.
• Work with large-scale infrastructure, including distributed training on GPU clusters and large MapReduce-style data processing for pre-training and fine-tuning datasets.
• Collaborate closely with research, product, and infrastructure teams to turn high-level product visions into concrete models, experiments, and shipped features. 

We’ll be happy to bring you on board if you have:

• Extensive hands-on experience training LLMs (pre-training, fine-tuning, or post-training) in a research or production setting.
• Deep expertise in modern deep learning frameworks such as PyTorch, and specialized LLM training stacks (e.g. Megatron, NeMo, verl, or similar).
• Strong theoretical and practical understanding of LLM fundamentals: architectures, tokenization, data pipelines, batching, mixed precision, distributed training, and debugging unstable runs.
• The ability to own projects end to end, starting from a high-level problem or product pain point and overseeing it through the design, experimentation, implementation, and iteration phases.
• A product-aware mindset – you care about how developers actually use agents and can translate product needs and failure modes into modeling and evaluation work.
• At least 3 years of Python experience writing clean, maintainable code in modern ML codebases.

Our ideal candidate would have experience with:

• ML orchestrators and workflow tools such as Kubeflow, Dagster, Airflow, ZenML, and/or job schedulers like Kubernetes or SLURM.
• Large-scale data and training pipelines, e.g. MapReduce-style clusters, multi-node GPU training, or workloads on the order of 1M+ CPU/GPU hours.
• Designing and maintaining evaluation pipelines for LLMs or agents, including metrics, dashboards, experiment tracking, and automated regression checks.
• AI agent development, such as tool-using agents, planners, or multi-step coding workflows, and familiarity with agentic frameworks or patterns.
• Experiment tracking and observability using tools like Weights & Biases, MLflow, Langfuse, or similar.
• Inference optimization and serving optimized models in production.

#LI-KP1

At JetBrains, code is our passion. Ever since we started, back in 2000, we have strived to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

AI features in JetBrains IDEs, developed by the IntelliJ AI team, have quickly become a core part of how developers work inside our IDEs. The IntelliJ AI team partners with product groups across JetBrains to embed advanced AI features that accelerate developer workflows and deliver real value to software engineers.

We are currently looking to hire a Senior Machine Learning Engineer to help us realize our ambitious vision of creating AI assistance that supports the entire development lifecycle across JetBrains IDEs. If selected, you will join the ML subteam within IntelliJ AI, driving the development of our ML system from end to end by defining evaluation and metrics, shaping context orchestration, and helping product teams tailor AI capabilities to their needs.

In this role, you will:

• Design and drive evaluation frameworks for AI features, including metrics, experiments, and agent trace analysis.
• Diagnose model performance issues (e.g. prompt drift, context mismatches, and latency/quality trade-offs) and translate findings into actionable improvements.
• Experiment with contexts and lightweight models to continuously develop our ML system.
• Act as the ML liaison for product teams across JetBrains, adapting and scaling AI capabilities in JetBrains IDEs to their needs.
• Build and maintain small helper models (e.g. re-rankers, classifiers, embedding models) to support domain-specific tasks.
• Collaborate with colleagues in ML, product, engineering, and analytic teams to deliver improvements and monitor their impact in production.
• Stay up to date with research in the fields of LLMs, agents, and evaluation, bringing best practices into our workflows.
• Mentor junior engineers and help shape team culture, processes, and tooling around experimentation and evaluation.

We’d be happy to have you on our team if you: 

• Have 5+ years of experience as an ML Engineer, with a solid background in production-grade ML systems (especially LLMs and agent architectures).
• Have experience with LLM evaluation methods and frameworks.
• Can design and run end-to-end experiments – hypotheses, metrics, data collection (including traces/logs), analysis, and decision-making.
• Are skilled in context-aware pipelines or conversational/agent systems.
• Have strong Python programming skills.
• Bring hands-on experience in fine-tuning or training smaller models (e.g. domain-specific fine-tuning and lightweight customizations).
• Communicate clearly and effectively across teams, translating ML/AI insights into product features.
• Have prior mentorship experience with ML/evaluation engineers.
• Thrive in a cross-functional, fast-moving environment, taking ownership, iterating quickly, and delivering results.

We’d be especially thrilled if you have: 

• Familiarity with agent-based systems and orchestrating multi-step reasoning agents.
• Experience with the Kotlin programming language.

#LI-MR1

At JetBrains, code is our passion. Ever since we started, back in 2000, we've been striving to make the strongest, most effective developer tools on earth. Today, AI-powered coding agents are becoming a core part of how developers write Kotlin – and we want to make sure they write it well.

The Kotlin AI Value Stream team is responsible for how AI agents understand, generate, and improve Kotlin code across all platforms: Android, Kotlin Multiplatform, server-side, web, desktop, and others. We build the evaluation infrastructure, error analysis tools, and post-training pipelines that measure and improve agent behavior on real Kotlin developer tasks.

As a Research Engineer on this team, you'll own the end-to-end loop: Analyze how agents fail on Kotlin → build evals that capture those failures → research and implement methods to fix them → measure the improvement. Your work will directly shape how millions of developers experience Kotlin through AI coding agents.

As part of our team, you will:

Build tools for agentic error analysis

• Design and implement tooling to systematically capture, classify, and analyse errors that AI coding agents make when generating Kotlin code.
• Build observability pipelines over agentic traces – mining patterns from agent sessions in JetBrains IDEs, Junie, Claude Code, Cursor, and other coding agents.

Build evaluation pipelines

• Design, implement, and maintain evaluation pipelines that measure Kotlin code generation quality across dimensions, including correctness, idiomaticity, build success, framework usage, and test coverage.
• Build simulation environments where coding agents can be measured on realistic Kotlin developer tasks – from greenfield KMP projects and Gradle dependency management to migrating Spring applications from Java to Kotlin.
• Own evaluation infrastructure: metrics, experiment tracking, automated regression checks, and reproducible benchmarking.

Research methods for improving agent and model behavior on Kotlin

• Experiment with post-training techniques (SFT, DPO, GRPO) to improve how models handle Kotlin-specific patterns, idioms, and frameworks.
• Investigate context engineering approaches: CLAUDE.md/AGENTS.md files, compiler-as-verifier feedback loops, Kotlin LSP integration, and MCP-based tooling.
• Run experiments to measure impact: A/B comparisons, benchmark suites, and before/after analyses on real codebases.
• Collaborate with model providers (Anthropic, OpenAI, and Google) to translate Kotlin-specific findings into model improvements.

Build public Kotlin benchmarks

• Design and build open-source benchmarks that measure AI coding agent performance on Kotlin tasks and eventually become the standard reference for the ecosystem.
• Create task datasets covering the breadth of Kotlin usage: the server side (Spring, Ktor), multiplatform projects (KMP), build systems (Gradle), Android, library development, and others.
• Include both mined real-world tasks and carefully designed synthetic tasks that test specific Kotlin capabilities.
• Maintain and evolve benchmarks as models improve, ensuring they remain challenging, relevant, and contamination-resistant.

We'll be happy to have you on board if you have:

• Hands-on experience building evaluation or analysis pipelines for LLMs or AI coding agents in a research or production setting.
• Strong Python engineering skills (at least three years), with the ability to write clean, maintainable code in data-heavy and ML-adjacent codebases.
• Experience with data analysis at scale: querying large datasets (SQL/Athena), building data pipelines, and performing statistical analysis of experimental results.
• The ability to own projects end to end – from identifying a problem in agent traces to designing an eval, running experiments, and shipping a fix.
• A product-aware mindset: You care about how agents are actually used by developers and can translate real failure modes into evaluation and training work.
• Familiarity with Kotlin or a strong willingness to develop deep Kotlin expertise (you'll be living in Kotlin codebases daily).

Our ideal candidate would also have experience with:

• Post-training LLMs: SFT, RLHF, DPO, GRPO – either hands-on training or designing the data and reward pipelines that feed into training.
• Modern deep learning frameworks (PyTorch) and LLM training stacks (TRL, verl, Megatron, or similar).
• AI agent development: tool-using agents, multi-step coding workflows, agentic frameworks.
• Evaluation frameworks and tools: Inspect AI, Promptfoo, LM-evaluation-harness, or custom eval pipelines.
• Experiment tracking and observability: Weights & Biases, MLflow, Langfuse, or similar.
• The Kotlin ecosystem: Android, Gradle, KMP, Spring, Ktor – with an understanding of the developer workflows that agents need to support.
• Contributing to or maintaining open-source projects, especially benchmarks or evaluation tools.

Don't check every box? That's okay – if you're excited about this work and bring strong fundamentals, we'd love to hear from you. We're happy to talk and provide the training you need to grow into the role.

Why join JetBrains? 

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Relocation support. We help make your move as smooth and stress-free as possible. 
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-DNI

We're building an AI copilot for web testing automation. It enables manual and automation QA engineers to turn their manual testing flows into production-ready automated E2E testing scripts, saving hours of manual work and coding. We are a small team with zero bureaucracy, focusing on real users. We optimize for shipping value - not hype.

About the role:

You'll own the entire frontend and product UX, meaning you decide how the product looks, feels, and works. You'll design flows, build the UI, maintain the architecture, and set the quality bar for anything that touches the interface. Backend and AI are covered by a strong team of engineers.

Your focus in the first three months:

• Refactor backend-frontend communication and state management. The current architecture was vibecoded – you'll make it ready for feature scaling.
• Establish a clean design system from existing components.
• Ship token-by-token LLM response streaming to improve perceived performance.
• Design user onboarding from scratch.
• Build a user-friendly error system with clear resolution paths.

Why you should join us:

• Real ownership. You're not implementing someone else's Figma file. You decide how the product looks and feels.
• A small team that ships fast and skips bureaucracy. We benefit from direct feedback from users and quick iteration cycles.
• The backing of JetBrains. We are financially secure, with no reliance on external VC funding.

Who we're looking for:

A design/frontend engineer who can take a vague problem and turn it into a clear, usable, production-ready feature.

What matters most:

• Design-first thinking and UX intelligence over pixel perfection. You care more about whether something makes sense than whether it looks “pretty”.
• Strong product intuition. You notice UX friction, small paper cuts, and architectural smells – and feel responsible for fixing them.
• Prototype-and-ship mentality. You explore options quickly, consider alternatives, choose a direction, and move on.

Required experience:

Tech stack: React, TypeScript (web or desktop applications)

• Strong working knowledge of React and frontend architecture – enough to keep the codebase clean while actively using AI coding tools.
• Experience designing and implementing frontend systems end to end, not just isolated components.
• A portfolio or examples showing full ownership: projects where you designed and built the frontend yourself.
• At least one full year of experience in a startup or fast-moving team.
• Active experience with AI coding tools (Cursor, Claude Code, etc.) with a clear understanding of when they help – and when they hurt.

Nice to have:

We’d be especially excited if you have experience with any of the following (side projects count):

• Product design or product management.
• Electron or desktop app development.
• E2E testing – you’ve written tests yourself or worked closely with test automation.
• Early-stage or 0-to-1 projects where UX quality was critical.
• AI-powered products or LLM-based features.

#LI-HYBRID 
#LI-KT1