AI Engineer (LLM & Agents)

Ecommpay is on a mission to build a global, data driven payment ecosystem. We help top e commerce companies grow globally with local bespoke solutions. You have a unique chance to be the driving force behind Ecommpay's AI capabilities as a Founding AI Engineer.

We're looking for a builder who's equally comfortable prototyping a new agent architecture and deploying it to production. If you've been tinkering with LLMs, building RAG pipelines, and dreaming about what AI can do for fintech-this is your chance to make it real.

Responsibilities

• Design, build, and maintain LLM based applications and agentic systems that solve real business problems across the organization
• Develop and optimize RAG pipelines for internal knowledge retrieval, document processing, and multilingual content
• Build and deploy AI agents capable of autonomous task execution, tool use, and multi step reasoning
• Integrate LLM capabilities with existing systems via APIs and MCP (Model Context Protocol), working with payment platform data and business workflows
• Evaluate, fine tune, and benchmark models for specific use cases (cost, latency, accuracy trade offs)
• Maintain and extend our AI platform infrastructure (Open source web based user interfaces, AWS Bedrock, embedding models, vector databases)
• Collaborate with business stakeholders to identify high impact AI opportunities and translate them into working solutions
• Stay current with the rapidly evolving LLM/agent landscape and bring relevant innovations into our stack

Requirements

• 3+ years of software engineering experience, with at least 1 year focused on LLM applications
• Hands on experience building with LLM APIs (OpenAI, Anthropic Claude, AWS Bedrock, or similar)
• Practical experience implementing RAG systems: embeddings, vector stores, retrieval strategies, chunking approaches
• Familiarity with agent frameworks and patterns (function calling, tool use, ReAct, multi agent systems)
• Strong Python skills; comfortable with async programming, API development, and data pipelines
• Experience with cloud infrastructure (AWS preferred: Lambda, ECS, Bedrock, S3)
• Understanding of prompt engineering principles and LLM evaluation methodologies
• Self directed problem solver who thrives with autonomy and minimal hand holding
• Fluent English (written and spoken)

Nice to have

• Experience with LangChain, LlamaIndex, or similar orchestration tools
• Background in payments, fintech, or e commerce domains
• Experience with Kubernetes and containerized deployments
• Familiarity with fine tuning or training models (LoRA, PEFT, etc.)
• Knowledge of compliance/security considerations for AI in regulated industries

What we offer

• Make your mark on a fast growing fintech industry becoming part of 500+ team with 4 offices worldwide
• Enhance your skills with our own Academy and receive compensation for additional trainings and courses to foster your growth
• Earn performance based bonuses tied to achieved KPIs
• Accumulate your Loyalty Days as a reward for your years of commitment
• Get an extra paid day off to celebrate your birthday
• Enjoy the flexibility of a hybrid work model
• Receive generous health insurance including dental, 5 Health Leave days per year and access to a private gym in the office