Principal AI Engineer

About company
Founded in the year 2017, CoffeeBeans specialises in offering high end consulting services in technology, product, and processes. We help our clients attain significant improvement in quality of delivery through impactful product launches, process simplification, and help build competencies that drive business outcomes across industries. The company uses new-age technologies to help its clients build superior products and realise better customer value. We also offer data-driven solutions and AI-based products for businesses operating in a wide range of product categories and service domains.
Experience - 8+ years
Location - Bangalore
Work mode - Hybrid

AI Research & Implementation:
Read, interpret, and implement state-of-the-art AI/ML white papers into practical, high-impact solutions.
Stay updated with the latest advancements in AI, particularly in agentic AI, LLMs, and GenAI applications.
Agentic AI Development:
Design and build agentic AI applications that can autonomously perform tasks, make decisions, and improve workflows.
Work with multi-agent systems, memory architectures, reasoning engines, and integration with external tools.
Complex Problem Solving in BFSI:
Solve highly complex problems in BFSI, such as risk assessment, fraud detection, credit scoring, and compliance automation.
Develop AI models that optimize decision-making and efficiency in financial services.
End-to-End AI System Development:
Architect, train, and deploy scalable AI/ML models and pipelines.
Optimize models for performance, interpretability, and compliance.
Leadership & Collaboration:
Provide technical mentorship to engineers and data scientists.
Collaborate with cross-functional teams including product managers, business stakeholders, and engineers.
Experimentation & Prototyping:
Rapidly prototype AI solutions using Python, TensorFlow, PyTorch, LangChain, LlamaIndex, etc.
Optimize AI workflows with retrieval-augmented generation (RAG), fine-tuned LLMs, and vector databases.

8+ years of experience in AI/ML engineering, with a strong research and development background.
Expertise in agentic AI frameworks (LangChain, CrewAI, AutoGen, OpenAI agents, etc.).
Hands-on experience in building autonomous AI applications that interact with tools, APIs, and environments.
Strong experience in LLMs, transformers, embeddings, RAG, and fine-tuning foundation models.
Deep understanding of multi-modal AI, reinforcement learning, and probabilistic modeling.
Proven track record of implementing AI/ML research papers into production.
BFSI domain expertise – experience in financial risk modeling, fraud detection, predictive analytics, etc.
Proficiency in Python, PyTorch, TensorFlow, Hugging Face, OpenAI API, LangChain, and cloud AI services (AWS/GCP/Azure).
Experience with MLOps, data pipelines, and vector databases (Pinecone, Weaviate, ChromaDB, FAISS).

Publications or patents in AI/ML research.
Experience in knowledge graphs, reasoning systems, and symbolic AI.
Contributions to open-source AI projects.
Background in quantitative finance, computational statistics, or AI in financial markets.

Work on cutting-edge AI research and applications in BFSI and beyond.
Collaborate with top AI experts and drive AI-first innovation.
Opportunity to shape AI strategy and lead major AI initiatives.