Senior Python Developer
Innovate what matters, where it matters
This is us
At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and Ul design, managed services, product development, and software development.
This is you
- 6–8 years of professional experience as a Software Engineer, with strong Python expertise.
- Proven track record of delivering production-grade data/ML services on public cloud platforms (GCP preferred, AWS/Azure also acceptable).
- Deep hands-on experience with orchestration frameworks like Airflow, Dagster, or Prefect.
- Strong knowledge of vector databases and similarity search tools, such as FAISS, Milvus, Pinecone, or ideally Google Vertex AI Vector Search.
- Solid understanding of the LLM ecosystem: model families (GPT-4o, Gemma 2, Mistral), prompt engineering, embeddings, fine-tuning with LoRA/PEFT, and RAG patterns.
- Experience integrating with LLM APIs (OpenAI, Google GenAI / Vertex AI, or Anthropic) via REST or gRPC.
- Strong grasp of software architecture patterns: event-driven design, microservices, Pub/Sub.
- Comfortable with CI/CD pipelines (GitHub Actions, Cloud Build) and infrastructure-as-code tools like Terraform.
- BS/MS in Computer Science, Electrical Engineering, or equivalent practical experience.
- English level: Upper-intermediate or above.
- Must be based in Argentina.
Nice-to-have skills:
- Experience deploying workloads on Vertex AI Vector Search, Gemini, or PaLM2 / Gemini Pro.
- Familiarity with serverless and event-driven architectures.
- Exposure to ad-tech data (bid requests, impression logs, CTV graphs).
- Experience with real-time data processing frameworks.
This is your role
- Designing and building core data services that ingest, vectorize, and retrieve large-scale first-party data signals.
- Partnering with data scientists to operationalize open-source and commercial LLMs (e.g., OpenAI, Gemini, Claude) on Google Cloud Platform.
- Implementing scalable and performant ETL/ELT pipelines, enabling downstream machine learning and analytics workloads.
- Developing intelligent systems that support RAG-based architectures, semantic search, and campaign personalization.
- Contributing to platform automation and MLOps best practices through robust CI/CD pipelines and infrastructure as code.
- Supporting a modern, cloud-native data architecture aligned with real-time business needs.
- Locations
- LATAM
- Remote status
- Fully Remote
- Profile
- Engineering
- Seniority
- Senior-level
- Technology
- Python
Your way in starts here
APPLICATION
Send us your application, we are ready to hear your story and explore how we can grow together.
REVIEW
Our team carefully reviews every application with curiosity and care. If your profile isn’t the right fit today, we will keep it in mind for future opportunities that match your skills and ambitions.
TALENT ACQUISITION INTERVIEW
You will meet our Talent team to talk about your goals and learn more about who we are, what we offer, and how we support our people.
TECHNICAL INTERVIEW
Our tech interview is all about diving deeper into your expertise and understanding your strengths, how you solve problems, and how you think – no trick questions, just a meaningful conversation.
CUSTOMER INTERVIEW
For some roles, especially when our clients are closely involved, you might also have a conversation with them – it’s a chance for everyone to align and get to know each other better.
JOB OFFER
If we both feel it’s the right match, we will send you an offer to join us. And even if it’s not the time just yet, you’ll always hear back from us.
WELCOME!
Your new team is excited to meet you, support you, and build something great together. Let’s make your first day the start of a journey that shapes a career that matters.