What You’ll Be Doing
In this role, you will :
- Design, develop, and deploy LLM-powered systems and AI agents.
- Integrate with third-party LLM APIs (e.g., OpenAI, Gemini, Anthropic) and utilize open-source models.
- Develop knowledge bases by utilize vector embedding and vector db.
- Implement RAG, MCP, and advanced prompt engineering to personalize model behavior and improve model performance.
- Fine-tune pre-trained models on custom datasets to improve performance on specific tasks.
- Establish or implement frameworks to evaluate, test, and iterate on AI model / agent performance and ensure robustness.
- Collaborate cross-functionally with product managers, analysts, and other engineers to identify high-impact use cases and gather requirements.
- Document models, methodologies, and experiments to share knowledge internally.
- Stay updated on the latest advancements in AI, LLMs, and related technologies to propose innovative solutions.
Who We Are Looking For
Bachelor's or Master’s in Computer Science, Data Science, Machine Learning, or related fields.2+ years of professional experience in a relevant role (AI Engineer, ML Engineer, Data Scientist, or Data Engineer), with hands-on experience with LLMs and Generative AI.Strong proficiency in Python and its key ML / Data libraries (e.g., PyTorch, TensorFlow, Scikit-learn).Hands-on experience with AI frameworks like LangChain or CrewAI and familiarity with LLM APIs (OpenAI, Gemini, Anthropic, etc.).Solid understanding of NLP fundamentals, embedding models, RAG pipelines, and fine-tuning.Experience deploying applications on a major cloud platform (GCP or AWS).Proficiency in SQL and familiarity with data warehousing concepts (e.g., BigQuery, ClickHouse).Strong analytical and problem-solving abilities, with a knack for translating business needs into technical solutions.Preferred / Bonus Skills
Experience with multi-agent frameworks, reinforcement learning, or ML Ops (e.g., cost optimization, efficient model serving).Deeper experience with real-time data processing and streaming technologies (e.g., Kafka, Pub / Sub), data observability tools, or open-source data stacks (e.g., Debezium, duckDB).Previously work in a fintech, marketplace, or AI-native company.Let’s Realise a Cryptocurrency Bank for Everyone!
We are building the #1 cryptocurrency bank for everyone to accelerate the transition to an open financial system.
We have impacted many lives but there’s still plenty to do and we can’t do it alone. You can learn more about us.
What is PINTU?
PINTU is a blockchain-based digital investment app that focuses on new investors. We have created a user-friendly app that helps new investors to learn, buy and invest cryptocurrency one click away.
Our agility and firm hold on our core purpose and values have allowed us to remain resilient and thrive through tumultuous times.
Learn more about PINTU here.
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