Senior AI ML Engineer

Summary

Join 3Pillar Global as a Senior AI/ML Engineer and contribute to cutting-edge projects reshaping data analytics for clients. You will build and fine-tune LLM-powered Gen AI assistants, integrate them into applications, and manage vector databases. This hands-on role requires expertise in LLMs, prompt engineering, and cloud platforms. The position offers a flexible work environment, global team collaboration, and opportunities for professional development. 3Pillar is a Great Place to Work, emphasizing well-being and a collaborative culture. The company prioritizes diversity and inclusion.

Requirements

• Bachelor or Masters degree in Computer Science, AI/ML, Engineering, Mathematics, or related fields
• Strong knowledge of AI/ML techniques, algorithms, and frameworks
• 4+ years of software engineering or AI/ML development experience, with 2 year hands-on experience building applications with LLMs or GenAI frameworks
• Proficiency in Python and API frameworks like FastAPI or Flask
• Strong understanding of LLMs, embeddings, vector stores, and prompt engineering
• Experience with GCP cloud platforms
• Experience with data preprocessing, cleaning, and feature engineering techniques
• 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
• Proven ability to work independently and with a team

Responsibilities

• Understand the requirements, build, and fine-tune LLM-powered Gen AI assistants and other features for specific industry workflows and user needs
• Use frameworks like LangChain or LlamaIndex, and RAG pipelines to build assistants grounded in private/business data
• Develop intelligent prompt strategies, few-shot examples, and persona models for assistant behavior
• Integrate AI assistants into web/mobile apps, chat interfaces, or enterprise tool
• Experiment with open and commercial LLMs (e.g., GPT-4o, Claude, Mistral, LLaMA, Gemini)
• Design and manage vector databases (e.g., Pinecone, Weaviate, Qdrant) for context-aware retrieval
• Implement LLMOps practices including monitoring, prompt versioning, evaluation, and A/B testing
• Collaborate with frontend Engineers, UI/UX designers and product managers to ship intelligent and user-friendly experiences
• Work on multi-modal assistants (text + vision + audio) where applicable
• Ensure security, ethical use, and performance monitoring of AI-powered features
• Stay updated with the latest in LLMs, agentic frameworks, and multi-modal GenAI trends

Benefits

• 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