AI Engineering Lead - Generative AI

About the role

Blend360, an AI services provider, is hiring its first AI Engineering Lead for its Guadalajara, Mexico office. The role drives the design, architecture and production deployment of advanced Generative AI solutions, leading the technical direction of LLM-based systems, agentic workflows and applied AI initiatives while working closely with Engineering, Product and ML Ops teams.

Key responsibilities

• Architect and lead production-grade AI solutions using LLMs, transformer-based models, RAG pipelines and agentic systems.
• Design, develop and optimize multi-step AI agents with tool/API invocation, reasoning chains and state management.
• Oversee deployment of AI applications on AWS, Azure or GCP, ensuring scalability, reliability and cost-efficiency.
• Establish best practices for prompt engineering, evaluation frameworks and model monitoring (latency, grounding, factuality, cost).
• Implement guardrails and Responsible AI practices, including prompt injection mitigation, content moderation, bias reduction and safety controls.
• Work with Data Scientists, Software Engineers and Product stakeholders to move AI solutions from prototype to production.
• Mentor junior and mid-level engineers and set Python code standards.
• Drive experimentation strategies, define KPIs and promote data-driven decisions.

Required profile

• Degree in Computer Science, Data Science, Engineering or a related field, or equivalent practical experience.
• Proven experience designing and deploying applied machine learning or generative AI systems to production.
• Experience bridging rapid prototyping and scalable production deployment, and working at the intersection of Data Science and Engineering.

Required skills

• Transformer-based models and LLM architectures.
• Hands-on experience with LLM frameworks such as LangChain, LlamaIndex, OpenAI API, CrewAI, Azure Prompt Flow, AWS Bedrock Agents or similar.
• Advanced Python and production-grade coding.
• Containerization, CI/CD pipelines, versioning and cloud-native architectures.

What we offer

• Certifications in AWS, Databricks and Snowflake, plus access to Udemy Business and study plans.
• Travel to industry conferences and mentoring and career development plans.
• Flexible working options and company-provided equipment.