Senior Python Engineer – Generative AI

Avenga; Municipio de Rincón de los Sauces; Presencial; ARS 2.200.000 - 3.200.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

GenAI-first environment

Collaborative culture

Global exposure

Diversity & inclusion

Descripción de la vacante

Avenga is seeking a Senior Python Engineer with GenAI expertise to design and build scalable, secure backend services and AI-enabled platforms. You will integrate LLM capabilities, develop RAG architectures, and implement agent-based frameworks while collaborating across product and engineering teams.

The role emphasizes hands-on backend development with a focus on GenAI, scalability, and secure cloud-native delivery in a global, Agile environment.

Formación

• 4–6 years of backend/software engineering (Python focus).
• 1–2 years hands-on GenAI with 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).

Responsabilidades

• 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 with product, engineering, and business teams to deliver AI-powered solutions.
• Document technical solutions clearly to support onboarding, scalability, and maintainability.

Conocimientos

Python

GenAI

LangChain

LangGraph

FastAPI

RAG

Agent framework

Embeddings

Prompt engineering

AI security

Cloud-native

Docker

Kubernetes

CI/CD

Terraform

Azure

AWS

SQL/NoSQL

Vector DB

Blob Storage

S3

Herramientas

Docker

Kubernetes

Terraform

CI/CD

Azure

AWS

Blob Storage

S3

Descripción del empleo

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 UI design, managed services, product development, and software development.

This is the job

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.

This is the team

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.

This is you

• 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 skills

• Experience building AI pipelines with Azure Data Factory, Event Hub.
• Exposure to enterprise AI solutions such as Microsoft Copilot & Gemini.

This is your role

• 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 awaits you at Avenga?

• 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.

At Avenga, everyone matters. We provide equal opportunities in recruitment, career development, and leadership, regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. By bringing together people from different backgrounds and experiences, we build a workplace where everyone feels free to be themselves while honoring the boundaries of others.