Key Responsibilities:

• Good understanding of AWS services.

• Bedrock Integration: Replace the current claude.ai deep-link (cosmetic "Ask AI" button) with a real Amazon Bedrock (Claude) integration for both Canopy and Trellis

• Context Injection: Build context-aware prompts that pull in real portfolio data, rather than the current no-context implementation

• Prompt Engineering: Design and maintain AI prompt templates (per-app, built twice) and expand the prompt library during Phase 2 feature refinement

• Model Selection & Inference-Cost Management: Implement configuration-driven model selection — routing routine work to smaller/cheaper models and complex analysis to frontier models — as the primary cost lever for Bedrock spend

• Audit Logging: Enable and route prompt/response audit logging to centralized logging and satisfy the audit-trail requirement

• Collaborate with product managers, data scientists, and software engineers to identify AI/ML opportunities and develop innovative solutions.

• Implement and deploy AI/ML algorithms and models into production environments.

• Optimize and fine-tune AI/ML models to improve accuracy and efficiency.

• Conduct experiments, perform data analysis, and present findings to stakeholders.

• Develop and maintain documentation for AI/ML algorithms, models, and solutions.

• Stay up-to-date with the latest AI/ML research and technologies and apply them to improve our platform.

• Mentor and provide technical guidance to junior AI/ML engineers or team members.

Qualifications:

• Bachelors or Masters degree in Computer Science, Engineering, Mathematics, or related fields.

• ideally 5+ years of experience in building AI models with ML, NLP and deep learning.

• Strong experience in Prompt Engineering

• Strong interest in AI and strong desire to do AI research.

• Python and Python ecosystem for AI/ML development

• Familiarity with LLM concepts, information retrieval, recommendation engines and predictive AI

• Data engineering skills. Ability to help write scripts to move data, clean data, and shape data for usage with LLMs.

• Familiarity with tooling and APIs using inference engines hosted elsewhere, e.g. on openai.com

Additional Experience Desired:

• Good Software Engineering Background.

• Experience in working with huge datasets in a production environment is a plus

• Strong analytical and problem-solving skills, with attention to detail.

• Excellent communication skills, with the ability to present complex technical concepts to both technical and non-technical audiences.

• Familiarity with Python libraries such as PyTorch, TensorFlow, and Scikit-Learn.

• Proven ability to work independently and with a team.

What is it like working for 3Pillar Global?

At 3Pillar, we offer a world of opportunity:

• Imagine a flexible work environment – whether it's the office, your home, or a blend of both. From interviews to onboarding, we embody a remote-first approach. 

• You will be part of a global team, learning from top talent around the world and across cultures, speaking English everyday. Our global workforce enables our team to leverage global resources to accomplish our work in efficient and effective teams. 

• We’re big on your well-being – as a company, we spend a whole trimester in our annual cycle focused on wellbeing. Whether it is taking advantage of fitness offerings, mental health plans (country-dependent), or simply leveraging generous time off, we want all of our team members operating at their best.

• Our professional services model enables us to accelerate career growth and development opportunities - across projects, offerings, and industries.

• We are an equal opportunity employer. It goes without saying that we live by values like Intrinsic Dignity and Open Collaboration to create cutting-edge technology AND reinforce our commitment to diversity - globally and locally. 

Join us and be a part of a global tech community! 🌍💼  Check out our Linkedin site and Careers page to learn more about what it’s like to be part of our #oneteam!

Thank you,

Kiran Dhanak

Talent Acquisition Team