Job description

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. 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 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

Requirements

Must-haves

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
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

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlmachine learningreactllm

Platform: apple
Effort: medium