At a glanceSummarised by Seekless from the posting.
Must have8
5+ years of software engineering experience, with significant recent experience in AI/ML engineering and generative AI applications
Strong proficiency in Python and modern backend development practices
Proven experience designing and implementing RAG architectures in production environments
Hands-on experience with agentic AI workflows, orchestration frameworks, and tool-using autonomous systems
Experience working with LLM APIs such as those from OpenAI and Anthropic
Strong cloud experience with Microsoft Azure, including deployment, infrastructure, and managed AI services
Full-stack engineering experience, with the ability to work across backend services and front-end integration layers
Experience taking solutions from prototype to production, including scaling, hardening, and operational support
Nice to have4
Experience with containerization and orchestration technologies (Docker, Kubernetes)
Familiarity with vector databases, embeddings, and semantic search architectures
Knowledge of enterprise security and governance considerations for AI systems
Experience in consulting or delivery-center models supporting global teams
Eligibility1
Advanced English proficiency required
Skills
Python
Retrieval-Augmented Generation (RAG)
Microsoft Azure
OpenAI
Anthropic
Docker
Kubernetes
CI/CD
Benefits
Certifications
Learning paths
Udemy business
English lessons
Travel opportunities
Mentorship
Career development
Special day rewards
Company equipment
Flexible working
Remote stipend
Company Description
Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com
Job Description
We are seeking a Senior AI Engineer to join a high-impact delivery team supporting the productionization of advanced AI solutions for enterprise clients. This role is ideal for someone with strong hands-on experience building scalable AI applications, particularly in generative AI, and who can take early-stage prototypes and transform them into secure, reliable, production-ready systems.
The Senior AI Engineer will work closely with an on-site innovation team that develops initial proofs of concept and prototype solutions. Once those solutions are validated, they will transition to the Delivery Center team, where this role will be responsible for engineering them into robust, scalable applications suitable for enterprise production environments. This includes designing architecture, improving performance, implementing best practices, and ensuring operational readiness.
Key Responsibilities
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Take AI prototypes and pilot solutions developed by on-site teams and lead their end-to-end production implementation.
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Design, build, and maintain scalable AI applications using Python as the primary programming language.
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Develop and optimize Retrieval-Augmented Generation (RAG) pipelines for enterprise use cases, including document retrieval, knowledge orchestration, and contextual response generation.
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Build and manage agentic workflows, including multi-step autonomous agents, tool integration, and orchestration frameworks.
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Deploy AI services in cloud-native environments, primarily on Microsoft Azure, ensuring reliability, scalability, and security.
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Integrate and operationalize large language models from platforms such as OpenAI and Anthropic (including Claude models).
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Collaborate across engineering, architecture, and client-facing teams to align technical implementation with business objectives.
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Contribute to full-stack development when needed, including APIs, backend services, and front-end integration for AI-powered applications.
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Apply software engineering best practices, including testing, CI/CD, observability, and performance optimization for AI systems.
Qualifications
•
5+ years of software engineering experience, with significant recent experience in AI/ML engineering and generative AI applications.
•
Strong proficiency in Python and modern backend development practices.
•
Proven experience designing and implementing RAG architectures in production environments.
•
Hands-on experience with agentic AI workflows, orchestration frameworks, and tool-using autonomous systems.
•
Experience working with LLM APIs such as those from OpenAI and Anthropic.
•
Strong cloud experience with Microsoft Azure, including deployment, infrastructure, and managed AI services.
•
Full-stack engineering experience, with the ability to work across backend services and front-end integration layers.
•
Experience taking solutions from prototype to production, including scaling, hardening, and operational support.
Nice to have
Preferred Qualifications
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Experience with containerization and orchestration technologies (Docker, Kubernetes).
•
Familiarity with vector databases, embeddings, and semantic search architectures.
•
Knowledge of enterprise security and governance considerations for AI systems.
•
Experience in consulting or delivery-center models supporting global teams.
What about languages?
Advanced English proficiency required.
Additional Information
Our Perks and Benefits:
📚 Learning Opportunities:
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Certifications in AWS (we are AWS Partners), Databricks, and Snowflake.
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Access to AI learning paths to stay up to date with the latest technologies.
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Study plans, courses, and additional certifications tailored to your role.
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Access to Udemy Business, offering thousands of courses to boost your technical and soft skills.
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English lessons to support your professional communication.
🛫 Travel opportunities to attend industry conferences and meet clients.
👩🏫 Mentoring and Development:
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Career development plans and mentorship programs to help shape your path.
🎁 Celebrations & Support:
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Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones.
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Company-provided equipment.
⚖️ Flexible working options to help you strike the right balance.
Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.