ML / AI Engineer Senior Remoto Argentina, ID #*****
Toolkits RAG: LangChain Retrievers, LlamaIndex integrations.
Entorno Cloud & Serverless GenAI
At
Prometeo Talent
, we connect top-tier tech and engineering professionals with companies that are shaping the future.
With a strong presence across
America and Europe
, we're proud to be one of the highest-rated recruitment agencies in the market.
We're currently partnering with a fast-growing
US-based cybersecurity startup
.
The company is building innovative security solutions that help organizations strengthen their cybersecurity posture through intelligent, scalable, and modern technology.
As an early-stage startup, you'll have the opportunity to work on complex technical challenges, contribute to product evolution, and make a direct impact on the growth and success of the platform.
About us
At
Prometeo Talent
, we connect top-tier tech and engineering professionals with companies that are shaping the future.
With a strong presence across
America and Europe
, we're proud to be one of the highest-rated recruitment agencies in the market.
We're currently partnering with a fast-growing
US-based cybersecurity startup
.
The company is building innovative security solutions that help organizations strengthen their cybersecurity posture through intelligent, scalable, and modern technology.
As an early-stage startup, you'll have the opportunity to work on complex technical challenges, contribute to product evolution, and make a direct impact on the growth and success of the platform.
The Opportunity
We are looking for a
Senior Backend Engineer
who thrives in startup environments and
enjoys building scalable systems
from the ground up.
This role is ideal for engineers who combine deep
backend expertise
with a
strong ownership mindset
.
You will play a key role in
designing
,
building
and
maintaining distributed systems
while collaborating with a highly technical and fast-moving team.
The ideal candidate has extensive experience with J
ava and Python
, enjoys solving complex engineering problems, and embraces AI-assisted development workflows to increase productivity without compromising quality.
Responsibilities
Design, build, and maintain scalable backend services using Java and Python.
Develop distributed systems involving databases, APIs, message queues, and data processing pipelines.
Take full ownership of features and services throughout their lifecycle, from design and implementation to monitoring and optimization.
Build production-ready systems with a strong focus on reliability, performance, and maintainability.
Collaborate closely with product and engineering teams to translate business requirements into technical solutions.
Improve system performance, scalability, and operational efficiency across the platform.
Leverage AI-assisted development tools to accelerate delivery while ensuring code quality and engineering best practices.
Participate in architectural discussions and contribute to key technical decisions as the company scales.
Continuously improve development processes, tooling, and engineering standards.
Requirements
8+ years of experience in software engineering or backend development.
5+ professional experience with
Python
, building and maintaining production-grade backend systems.
Strong experience with
Java
.
Hands-on experience with AI/LLM-based application development (AI agents, agentic systems, or LLM-powered applications)
Experience building AI-driven features, LLM integrations, or agentic workflows in production environments is highly preferred.
Solid understanding of distributed systems, scalable architectures, and asynchronous processing.
Experience working with
databases, message queues, and data processing pipelines
.
Hands-on experience with
Docker and Kubernetes
in production environments.
Proven experience building, maintaining, optimizing, and improving products after launch.
Strong ownership mindset, autonomy, and ability to thrive in
startup or fast-paced environments
.
Advanced English level
Nice to have
Experience working in product-focused companies, owning products beyond the initial development phase.
Experience in cybersecurity products or security-focused platforms.
Experience with Kafka, RabbitMQ, or similar messaging systems.
Experience building large-scale distributed data processing systems.
Background in high-growth startups or scale-ups.
Previous experience in large technology companies
What's in it for You
100% remote work with flexibility to work from LATAM.
Join an early-stage cybersecurity startup where your work will directly impact the product and company growth.
Be part of an engineering culture that embraces modern AI-assisted development workflows.
Company-provided laptop and equipment.
Generous PTO and regional holidays.
High ownership, autonomy, and direct influence on technical decisions.
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:
Flexible 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)
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.
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 classes
Referral program
Access to learning platforms
Explore this and other opportunities at:
Senior/Staff Software Engineer (AI-Native/Claude Code/Codex) · LATAM
Location:
Anywhere in LATAM
Job Type:
100% Remote
Engagement:
Full-time Contractor
Payment:
USD
Project:
AI-Native LegalTech / M&A; SaaS Platform
Seniority:
Senior / Staff
English Level:
B2 / C1
Get to Know Darwoft
At
Darwoft
, we build digital products with heart.
We're a Latin American technology company focused on creating impactful, human-centered software in partnership with companies around the globe.
Our remote-first culture is built on trust, continuous learning, collaboration, and strong engineering standards.
We work with international teams solving complex product and technology challenges where our engineers can have a direct impact on the product.
If you're looking for a place where your technical judgment matters and where you can contribute beyond simply executing tickets, welcome to Darwoft.
About the Opportunity
We're partnering with an innovative software company building a modern transaction platform for organizations managing complex M&A; processes.
The platform brings together document workflows, collaboration, approvals, diligence, transaction management, and AI-powered capabilities within a single SaaS product.




What makes this opportunity particularly different is the way the engineering team builds software.
The product has been developed using an
AI-native engineering approach
, with tools such as
Claude Code, OpenAI Codex, and other AI coding agents
deeply integrated into the development workflow.
We're looking for a highly experienced
Senior / Staff Software Engineer
who can combine strong software engineering fundamentals with this new way of building software.
This is
not a traditional AI/ML Engineer role
.
You won't be training machine learning models or working primarily on Data Science.
Instead, you'll be engineering production software, navigating a large existing codebase, making architectural decisions, improving reliability, and using AI coding agents to dramatically increase development velocity.
The idóneo person is a
builder first
: highly technical, pragmatic, product-oriented, low-ego, and comfortable taking ownership of complex systems.
What You'll Be Doing
Navigate, understand, and evolve a large existing production codebase.
Design and implement new product capabilities across a complex SaaS platform.
Make pragmatic architectural and system design decisions as the product continues to scale.
Identify technical debt, architectural risks, reliability issues, and opportunities for improvement.
Use
Claude Code, Codex, Cursor, Copilot, or similar AI coding agents
extensively throughout the software development lifecycle.
Leverage AI agents to explore codebases, design implementations, generate and refactor code, debug issues, write tests, and accelerate delivery.
Build and evolve backend services, APIs, integrations, data models, and application workflows.
Contribute across the application stack when needed.
Strengthen automated testing, maintainability, observability, reliability, and production readiness.
Improve development workflows, tooling, automation, and engineering practices.
Troubleshoot complex issues across application, data, and infrastructure layers.
Balance development speed with software quality and long‐term maintainability.
Work closely with product leadership to translate business problems into effective technical solutions.
Help a small engineering team achieve significantly greater development leverage through AI-assisted engineering.
What You Bring
Strong professional experience building and operating
production software systems
.
Excellent software engineering fundamentals, including
architecture, system design, debugging, testing, and maintainability
.
Experience working with
large or complex existing codebases
.
Strong backend or full-stack engineering experience using modern programming languages and frameworks.
Experience building modern
web applications and SaaS products
.
Strong understanding of
APIs, application architecture, integrations, data modeling, and distributed systems
.
Experience with relational databases and production data environments.
Strong understanding of automated testing and modern software development practices.
Familiarity with cloud environments, CI/CD pipelines, deployments, and production operations.
Ability to reason through technical trade-offs and make pragmatic architectural decisions.
Strong ownership and ability to work independently in an evolving product environment.
Product mindset: you understand not only
how
to build something, but also
why
it should be built.
AI-Native Engineering Experience
Hands‐on experience using AI development tools is especially important for this position.
We're particularly interested in engineers who actively use tools such as:
Claude Code
OpenAI Codex
Cursor
GitHub Copilot
Windsurf
Other AI coding agents or agentic development tools
More importantly, we're looking for someone who uses AI beyond code completion.
You should be comfortable using AI to:
Understand unfamiliar codebases.
Investigate architecture and dependencies.
Design implementations.
Generate and refactor production code.
Debug complex issues.
Create and improve automated tests.
Review code and identify potential issues.
Automate repetitive engineering tasks.
Accelerate delivery while maintaining engineering quality.
We're looking for someone who sees
AI as a core engineering tool
, while still bringing the technical judgment required to make strong software and architectural decisions.
Nice to Have
Experience working in
early-stage or high-growth product companies
.
Previous experience as a
Staff Engineer, Principal Engineer, Tech Lead, Founding Engineer, or similar high-ownership role
.
Experience building AI-powered SaaS products.
Experience integrating
LLMs or AI APIs
into production applications.
Experience with document-heavy or workflow-intensive platforms.
Experience designing authorization systems, permissions, RBAC, and auditability.
Experience with LegalTech, FinTech, transaction platforms, Private Equity, or other complex B2B SaaS products.
Experience improving engineering productivity through developer tooling and automation.
What Success Looks Like
Success in this role goes beyond writing more code.
You'll help the team
ship significantly faster while simultaneously strengthening the architecture, reliability, maintainability, and technical maturity of the platform
.
The goal is to combine strong engineering judgment with AI-native development practices to dramatically increase what a small engineering team can build.
What Darwoft Offers
Contractor agreement with payment in USD
100% remote work
Argentina's public holidays
English classes
Referral program
Access to learning platforms
Explore this and other opportunities at:
#J-*****-Ljbffr

📌 Senior Ai Engineer (Juan José Castelli)
🏢 encora10
📍 Juan José Castelli