AI Engineer

We are looking for a Senior AI Engineer to help design, architect, and deploy advanced Generative AI solutions in production. This role will contribute to the development of LLM-based systems, agentic workflows, and applied AI initiatives, while partnering closely with Engineering, Product, and MLOps teams. The ideal candidate combines strong hands-on technical expertise with solid software engineering practices, and is comfortable taking AI solutions from design through production while balancing scalability, reliability, and business impact.

About Blend360

• 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

Responsibilities

• Contribute to the architecture and implementation of production-grade AI solutions leveraging LLMs, transformer-based models, RAG pipelines, and agentic systems.
• Design, develop, and optimize multi-step AI agents capable of tool/API invocation, reasoning chains, and state management.
• Support the deployment and optimization of AI-powered applications across cloud environments (AWS, Azure, or GCP), ensuring scalability, reliability, and cost-efficiency.
• Contribute to best practices for prompt engineering, evaluation frameworks, and model performance monitoring (latency, grounding, factuality, cost).
• Implement guardrails and Responsible AI practices, including prompt injection mitigation, content moderation, bias reduction, and safety controls.
• Collaborate cross-functionally with Data Scientists, Software Engineers, and Product stakeholders to take AI solutions from prototype to full production.
• Share knowledge and support other engineers in developing high-quality, modular, and maintainable Python code.
• Contribute to experimentation strategies, help define KPIs, and promote data-driven decision-making across AI initiatives.

Requirements

• Degree in Computer Science, Data Science, Engineering, or related field (or equivalent practical experience).
• Strong expertise in transformer-based models and LLM architectures.
• Proven experience designing and deploying applied machine learning or generative AI systems to production environments.
• Hands-on experience with LLM frameworks such as LangChain, LlamaIndex, OpenAI API, CrewAI, Azure Prompt Flow, AWS Bedrock Agents, or similar tools.
• Advanced proficiency in Python and production-grade coding practices.
• Experience with containerization, CI/CD pipelines, versioning, and cloud-native architectures.
• Strong leadership skills with the ability to bridge rapid prototyping and scalable production deployment.
• Excellent collaboration and communication skills, with experience working at the intersection of Data Science and Engineering.

Benefits

• 📚 Learning Opportunities: Certifications in AWS (we are AWS Partners), Databricks, and Snowflake.
• Access to AI learning paths to stay up to date with the latest technologies.
• Study plans, courses, and additional certifications tailored to your role.
• Access to Udemy Business, offering thousands of courses to boost your technical and soft skills.
• English lessons to support your professional communication. 🛫 Travel opportunities to attend industry conferences and meet clients. 👩‍🏫 Mentoring and Development: Career development plans and mentorship programs to help shape your path. 🎁 Celebrations & Support: Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones.
• 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.
• 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.