Darwoft
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Location: Anywhere in LATAM
Job Type: Remote
Project: Fintech Conversational AI Platform
Time Zone: Flexible within LATAM
English Level: B2 / C1
At Darwoft, we build digital products with heart. Were a Latin American tech company focused on creating impactful, human-centered software in partnership with clients around the world. Our remote-first culture is rooted in trust, continuous learning, and collaboration.
But above all, Darwoft is a place defined by adaptability. Growth isnt optional here — its part of how we operate. Theres no stagnation or comfort zone; instead, youll find a genuine and sometimes rare openness to change. The company provides the challenges and opportunities needed to grow, along with the support to take them on.
Leadership inspires by example without expecting imitation — authenticity matters deeply to us. Flexibility is in our DNA. It empowers us to make smart decisions and, more importantly, to question and improve them as processes naturally evolve over time.
Darwoft has a vibrant, genuine culture — one that reflects our crew, not just a statement of intent.
If you're looking to join a team where your ideas matter and your impact is real, welcome to Darwoft.
Were partnering with a fast-growing fintech project focused on building an AI-powered conversational platform used by thousands of users in the United States. The product goes far beyond traditional chatbots, leveraging Large Language Models (LLMs) and autonomous AI agents to handle complex, multi-step workflows related to financial operations.
Were looking for a Senior AI Engineer to join a core AI initiative, working hands-on on the design, development, and scaling of agentic systems in production. In this role, youll help evolve conversational experiences into advanced multi-agent architectures capable of reasoning, planning, and executing actions autonomously.
Your work will have direct impact on real users and real business outcomes.
Design, build, test, and deploy autonomous AI agents using Python and modern agentic frameworks.
Develop LLM-based systems that go beyond simple Q&A, enabling reasoning, planning, and execution across multi-step workflows.
Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases to ensure accurate, grounded responses.
Integrate AI agents with internal services, APIs, and production systems in collaboration with engineering and product teams.
Build evaluation, monitoring, and optimization pipelines for LLM-powered systems, focusing on accuracy, latency, reliability, and cost.
Apply advanced prompt engineering techniques and tool/function calling to enhance agent capabilities.
Stay current with the latest advancements in Generative AI, LLMs, and agentic architectures, applying best practices to production systems.
5+ years of experience in professional software development.
2+ years of hands-on experience building and deploying AI / Generative AI solutions in production.
Strong proficiency in Python.
Solid experience working with LLMs and agentic frameworks (OpenAI SDK, LangChain, LlamaIndex, CrewAI, or similar).
Proven experience with agentic systems, including memory/state management and multi-agent workflows.
Experience working with vector databases and RAG-based architectures.
Strong understanding of software engineering fundamentals: Git, testing, CI/CD pipelines.
Ability to translate business requirements into scalable, maintainable technical solutions.
Strong communication skills in English within a fully remote environment.
Experience in fintech, payments, fraud detection, or financial platforms.
Experience evaluating and optimizing LLM systems in production (A/B testing, observability).
Contributions to open-source projects or public technical repositories.
Experience working in fast-paced, high-growth product environments.
Explore this and other opportunities at:
www.darwoft.com/careers
Originally posted on Himalayas