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Senior Consultant, AI Engineer

Hakkoda, an IBM Company, is a modern data consultancy empowering organizations to realize the full value of the Snowflake Data Cloud.
Heredia Province, Heredia, Costa RicaLisbon, Portugal
$50,000 - $84,000
Machine Learning
Senior Software Engineer
Hybrid
1,000 - 5,000 Employees
5+ years of experience
AI · Enterprise SaaS
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Job Description

Hakkoda, an IBM Company, is seeking a Senior AI Engineer to join their modern data consultancy team. This role combines technical expertise in AI with client-facing responsibilities, focusing on developing and deploying sophisticated AI solutions, particularly in large language models (LLMs), agents, and retrieval-augmented generation (RAG) pipelines.

The position requires a seasoned professional with 5-7 years of experience in AI engineering or machine learning, offering a salary range of $50,000 to $84,000 annually. The role is hybrid, with locations in Heredia, Costa Rica, and Lisbon, Portugal, providing flexibility in work arrangement.

As a Senior AI Engineer, you'll be at the forefront of implementing cutting-edge AI solutions across major platforms including Snowflake, AWS, and Google Cloud. The role demands strong technical capabilities in Python, RAG architecture, vector search, and embedding pipelines, combined with excellent client-facing and leadership skills.

The company offers an impressive benefits package, including comprehensive health insurance, paid parental leave, flexible PTO, and professional development opportunities. Hakkoda's culture emphasizes learning, growth, and collaboration, making it an ideal environment for ambitious AI professionals.

This position is perfect for someone who combines technical depth with business acumen, as you'll be responsible for not just developing solutions but also leading client engagements and mentoring junior team members. The role offers significant opportunity for growth within a rapidly expanding organization that's shaping the future of AI implementation in enterprise environments.

Working at Hakkoda means joining a diverse, inclusive team distributed across North America, Latin America, and Europe, with the chance to work on challenging projects that make a real difference. The company's status as an IBM subsidiary provides additional stability and resources while maintaining the dynamic atmosphere of a modern consultancy.

Last updated 2 months ago

Responsibilities For Senior Consultant, AI Engineer

  • 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
  • Fine-tune models, build embedding workflows, implement vector search, and monitor performance
  • Architect AI systems that integrate with cloud-based data pipelines
  • Provide technical leadership and mentor junior engineers
  • Stay informed on emerging AI technologies

Requirements For Senior Consultant, AI Engineer

Python
  • Bachelor's degree in Computer Science, Data Science, AI, or related field (Master's or Ph.D. preferred)
  • 5-7 years of experience in AI engineering, machine learning, or related fields
  • Experience developing and deploying LLM-powered applications into production
  • Strong background in RAG architecture, vector search, and embedding pipelines
  • 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
  • Strong client-facing skills
  • Excellent communication skills
  • Strong leadership skills

Benefits For Senior Consultant, AI Engineer

Dental Insurance
Vision Insurance
Medical Insurance
Parental Leave
  • Comprehensive Life Insurance including dental and vision
  • Paid Parental Leave
  • Flexible PTO Options
  • Company Bonus Program
  • Technical Training & Certifications
  • Extensive Learning and Development Opportunities
  • Flexible Work-from-Home Policy
  • Work from Anywhere Benefit