Senior AI Engineer

Summary

Join Hakkoda, an IBM Company, as a Senior AI Engineer and lead the design, development, and deployment of cutting-edge AI solutions using LLMs, agents, and RAG pipelines. Collaborate closely with clients to architect and deliver real-world solutions on platforms like Snowflake, AWS, and Google Cloud. This role demands technical expertise, a delivery-oriented mindset, and excellent communication skills to lead client engagements and cross-functional teams. You will fine-tune models, build embedding workflows, and implement vector search, while mentoring junior engineers and contributing to Hakkoda's AI practice. Stay informed on emerging AI technologies and bring innovative capabilities into production. The ideal candidate possesses a strong background in AI engineering and a proven track record of delivering LLM-powered applications.

Requirements

• Bachelor’s degree in Computer Science, Data Science, AI, or a related field (Master’s or Ph.D. preferred)
• Minimum of 5-7 years of experience in AI engineering, machine learning, or related fields
• Demonstrated experience working in a professional services or consulting environment with client-facing responsibilities
• Proven experience developing and deploying LLM-powered applications into production
• Strong background in RAG architecture, vector search, and embedding pipelines
• Familiarity with agent frameworks such as LangChain, LlamaIndex, or Crew AI
• Expertise in Python, with sound software engineering practices
• Experience working with Snowflake, including Cortex and UDFs for AI integration
• Hands-on experience deploying AI solutions on multiple cloud platforms (especially AWS and GCP)
• Strong client-facing skills, with the ability to lead technical discussions and present to stakeholders
• Demonstrated ability to scope, build, and deliver full AI solutions—not just prototypes

Responsibilities

• Lead the design and development of LLM-based solutions including RAG pipelines, agent workflows, and generative AI applications
• Develop and deploy AI solutions across Snowflake, AWS, Google Cloud, Databricks, and other enterprise environments
• Work directly with clients to understand business needs, propose architectures, and implement solutions that deliver measurable value
• Fine-tune models, build embedding workflows, implement vector search, and monitor performance in production environments
• Architect AI systems that integrate with cloud-based data pipelines and enterprise tools, ensuring reliability and scalability
• Provide technical leadership, mentor junior engineers, and contribute to the growth of Hakkoda’s AI practice
• Stay informed on emerging AI technologies and bring innovative capabilities into production use

Preferred Qualifications

• Experience with LLMOps tools (PromptLayer, LangSmith, Weights & Biases, etc.)
• Understanding of AI cost optimization and production reliability concerns
• Prior experience with consulting or professional services engagements
• Experience building AI solutions with synthetic or simulated data
• Contributions to open-source AI projects or active involvement in AI communities
• Excellent communication skills, with the ability to translate complex technical concepts for diverse audiences, including clients
• Strong leadership skills, with a track record of successfully managing projects and mentoring junior team members
• Problem-solving expertise with a creative approach to overcoming client challenges and delivering results under tight timelines
• Extensive experience with industry-specific AI applications, such as healthcare, finance, supply chain, or retail/CPG
• Advanced proficiency in natural language processing (NLP) and computer vision technologies
• Previous experience leading teams or projects in an Agile or Scrum environment

Benefits

• Comprehensive Life Insurance: Including dental and vision, wellness, home spa treatments, express doctor visits etc
• Paid Parental Leave
• Flexible PTO Options
• Company Bonus Program
• Asociación Solidarista
• Technical Training & Certifications
• Extensive Learning and Development Opportunities
• Flexible Work-from-Home Policy
• Work from Anywhere Benefit