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27 d agofound 2 h ago
Senior Python Engineer – Generative AI
Read out of the posting
LevelNot stated
Experience askedNot stated
EmploymentNot stated
LocationBuenos Aires, AR
RemoteNot stated
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-09-08
Found viateamtailor, direct from their system
We saw it 27 days after it went up.
The posting, as the company wrote it
Avenga is an international engineering firm helping businesses operate with AI at the core. With 6,000+ experts worldwide, we combine engineering expertise with AI-native thinking to turn ambitious ideas into real-world impact across industries, technologies, and markets.
At the core of the role
In the Technology / GenAI & Automation domain, we are actively seeking a Senior Python Engineer with AI expertise to strengthen our team dedicated to building scalable, secure, and production-ready Generative AI solutions.
This role is focused on professionals with a solid software engineering and backend background (4–6 years) who have recently transitioned into the GenAI ecosystem (1–2 years) , working with frameworks such as LangChain, LangGraph, FastAPI , and integrating LLMs (OpenAI GPT, Claude, Gemini) into real-world applications.
You’ll become a vital member of a GenAI-first team led by experienced professionals, where every project leverages Generative AI to deliver measurable business value. The team works collaboratively across platforms (Web, Mobile, Cloud) and applies Agile methodologies (Scrum/Kanban) to drive innovation and efficiency.
Core skills you’ll bring
4–6 years of experience in backend/software engineering (Python focus) .
1–2 years of hands-on experience with GenAI technologies (LLMs, RAG, LangChain).
Strong foundation in software engineering principles and cloud-native development .
Experience with SQL/NoSQL databases, vector databases, and cloud storage (Blob Storage, S3) .
Knowledge of Azure and/or AWS, Docker, Kubernetes, CI/CD, Terraform .
Ability to design and implement RAG architectures and agent-based frameworks .
Advanced skills in prompt engineering, embeddings, and optimization .
Familiarity with AI security practices (access control, input sanitization, prompt injection prevention).
Nice-to-have:
Experience building AI pipelines with Azure Data Factory, Event Hub .
Exposure to enterprise AI solutions such as Microsoft Copilot & Gemini .
The impact you'll create
Design, develop, and maintain Python-based backend services integrating Generative AI.
Build robust, scalable, and secure AI applications aligned with business requirements.
Develop and integrate LLM capabilities into products and platforms.
Implement RAG architectures using vector databases and semantic search solutions.
Create and maintain AI pipelines, APIs, and agent-based frameworks .
Optimize prompts, embeddings, and token usage to balance cost and performance.
Ensure observability, monitoring, and validation of AI systems in production.
Collaborate closely with product, engineering, and business teams to deliver AI-powered solutions.
Document technical solutions clearly to support onboarding, scalability, and maintainability.
What supports your journey
The opportunity to work in a GenAI-first environment where innovation drives every project.
A collaborative team culture that values curiosity, adaptability, and continuous learning .
Professional growth through challenging projects, global exposure, and cutting-edge technologies .
A workplace committed to diversity, inclusion, and equal opportunities .
People are at the core of Avenga. We provide equal opportunities regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. We are committed to a respectful environment where everyone can be themselves, share their ideas, and feel that they belong.
Also open at Avenga
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