The iRecon Payments team is seeking a highly motivated AI/ML Engineer to help build our next-generation payments platform. In this role, you will blend classical ML with cutting-edge Generative and Agentic AI to transform how we process transactional data at scale.

Minimum Qualifications
2+ years of experience building machine learning solutions using supervised/unsupervised learning, classification, recommendation systems, and clustering algorithms

In-depth knowledge of transformer architecture, LLMs, and Agentic AI concepts

Hands-on experience fine-tuning Large Language Models (LLMs) using PEFT/LoRA for domain-specific tasks

Proven experience building and extending RAG, MCP (Model Context Protocol), or multi-agent frameworks (e.g., LangChain, LlamaIndex, AutoGen)

Bachelor's degree in Computer Science, AI, Machine Learning, or relevant work experience

Preferred Qualifications
3+ years deploying production-grade AI/ML solutions in the FinTech domain

2+ years building conversational assistants or autonomous agents using advanced techniques (LangGraph, CrewAI, A2A, CoT, ReAct, Reflection)

Experience with the full LLM lifecycle including pre-training, SFT, and Reinforcement Learning techniques (RLHF, PPO, GRPO)

Demonstrated ability to quickly master emerging AI tools and integrate them into legacy stacks

Strong written and verbal communication skills with the ability to explain complex AI concepts to business stakeholders