Disclaimer – Must read: Commitment & Focus
This role requires full-time dedication, with clear priority given to Darwoft projects during the established working hours.
It is not compatible with other full-time professional engagements.
Any additional professional activities must be disclosed in advance and must not interfere with the responsibilities or working hours of this role.
Location:
Anywhere in LATAM
Job Type:
Remote
Project:
Fintech Conversational AI Platform
Time Zone:
Versátil within LATAM
English Level:
B2 / C1
Get to Know Us – Darwoft
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.
About the Role – AI Engineer (Agentic Systems / LLMs)




We're 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.
What Youll Be Doing
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.
What You Bring
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.
Nice to Have
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.
What Darwoft Offers (Contractor)
Contractor agreement with payment in USD
100% remote work
Argentinas public holidays
English classesReferral program
Access to learning platforms
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📌 Hybrid Sre Engineer — Observability & Incident Response (Juan José Castelli)
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