20 publicaciones de empleo destacadas de software engineer infrastructure en b (¡Están contratando!)

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

We are seeking a Senior AI Engineer with strong expertise in Generative AI, LLMs, and backend development in Python. The role involves designing and deploying RAG architectures, integrating LLM capabilities into enterprise platforms, and ensuring scalability, security, and observability in production environments.

You will collaborate cross-functionally with product, engineering, and data teams, providing technical leadership and driving innovation in AI-powered solutions.

This is you

8–10+ years of enterprise software development experience.
Strong foundation in Software Engineering and AI principles.
Hands-on experience with LLMs (OpenAI GPT, Google Gemini, Anthropic Claude).
Experience designing and implementing RAG solutions with vector databases (FAISS, ChromaDB, Azure AI Search).
Advanced proficiency in Python and frameworks such as LangChain, LangGraph, FastAPI.
Experience with SQL, NoSQL, and vector databases.
Cloud expertise in Azure and AWS, including storage (Blob, S3).
Knowledge of Docker, Kubernetes, CI/CD pipelines, Terraform.
Experience with API integrations and agent-based frameworks for automation.
Advanced Prompt Engineering techniques, embeddings, and optimization.
Understanding of AI security best practices (access control, input sanitization, prompt injection prevention).

Nice-to-have skills:

Experience with Azure Data Factory, Event Hub.
Exposure to enterprise AI solutions (Microsoft Copilot, Google Gemini).

This is your role

Design, develop, and maintain Generative AI solutions that deliver measurable business value.
Build robust, scalable, and secure AI applications in production.
Integrate LLM capabilities into products and platforms.
Design and implement RAG architectures with vector databases and semantic search.
Create and maintain AI pipelines, APIs, and backend services using Python and modern frameworks.
Ensure high standards of security, performance, scalability, and observability.
Implement cloud-native solutions on Azure and/or AWS.
Develop and maintain CI/CD processes and infrastructure-as-code environments.
Optimize prompts, embeddings, and AI workflows for accuracy and efficiency.
Monitor, troubleshoot, and improve AI applications in production.
Produce technical documentation to support maintainability and knowledge sharing.
Collaborate closely with product, engineering, and business teams to deliver AI-powered solutions.

What awaits you at Avenga?

A long-term project with real ownership and impact.
A collaborative environment that values innovation, teamwork, and continuous learning.
Opportunities to grow expertise in Generative AI, LLMs, and enterprise-scale AI solutions.

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.

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