Se busca un desarrollador Python Semi Senior con experiencia en AWS y IA generativa para unirse a DXC Technology en Buenos Aires. El rol implica el desarrollo de servicios backend, APIs REST, integración con servicios AWS y la implementación de soluciones de IA con herramientas como LangChain.
Si te copa la IA generativa y querés meter mano en AWS, este puesto en DXC Technology es para vos. Vas a desarrollar servicios backend y APIs, integrando tecnologías de punta en un modelo híbrido.
Descripción del puesto
Job Description: At DXC we use the power of technology to deliver mission critical IT services that our customers need to modernize operations and drive innovation across their entire IT estate. We provide services across the Enterprise Technology Stack for business process outsourcing, analytics and engineering, applications, security, cloud, IT outsourcing and modern workplace. What you'll do: • Develop clean, maintainable, and efficient Python code for backend services and AI powered applications. • Build and maintain REST APIs and integrations using modern frameworks. • Work with AWS resources such as S3, Lambda, EC2, ECS, RDS, DynamoDB, or CDK/IaC. • Assist in implementing AI agent development using tools like LangChain, LangGraph, vector databases, or LLM-based APIs (OpenAI, Anthropic, etc.) and RAG patterns. • Use of AI coding assistants like GitHub Copilot or Claude Code. • Collaborate with ML/AI engineers to integrate models into production. • Contribute to code reviews, unit tests, integration tests, and CI/CD improvements. • Participate in Agile ceremonies and help refine user stories. • Troubleshoot and resolve issues in cloud-based environments. Who you are: • 3–5 years of experience in Python development. • Experience with backend frameworks (FastAPI, Flask, Django, etc.). • Good understanding of AWS services such as S3, Lambda, ECS, RDS, or DynamoDB. • Exposure to Generative AI technologies (LLM APIs, LangChain, embeddings, or vector databases). • Familiarity with API development and microservices architecture. • Basic understanding of IaC tools (CDK, Terraform, or CloudFormation). • Familiarity with SQL and NoSQL databases. • Knowledge of Git, CI/CD pipelines, and Agile/Scrum practices. Joining DXC connects you to brilliant people who embrace change and seize opportunities to advance their careers and amplify customer success. At DXC we support each other and work as a team — globally and locally. Our achievements demonstrate how we deliver excellence for our customers and colleagues. You will be joining a team that works to create a culture of learning, diversity and inclusion and are dedicated to strong ethics and corporate citizenship At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive. Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here .
Responsabilidades
- Desarrollar código Python mantenible y eficiente para servicios backend y aplicaciones de IA.
- Construir y mantener APIs REST e integraciones.
- Trabajar con recursos de AWS (S3, Lambda, EC2, ECS, RDS, DynamoDB, CDK/IaC).
- Asistir en la implementación de desarrollo de agentes de IA (LangChain, LangGraph, bases de datos vectoriales, APIs LLM, RAG).
- Utilizar asistentes de codificación de IA (GitHub Copilot, Claude Code).
- Colaborar con ingenieros de ML/AI para integrar modelos en producción.
- Participar en revisiones de código, pruebas unitarias y de integración.
- Participar en ceremonias Agile y refinar user stories.
- Solucionar problemas en entornos cloud.