**** - AI Engineer (Agentic Systems / LLMs) · Senior · LATAM
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.
About Darwoft
Darwoft is a software factory that develops custom software solutions and provides IT staff augmentation services for international clients, primarily in the United States and Latin America.
We partner with startups and high-growth companies to build high-impact digital products.
Our culture is people-first, focused on technical quality, long-term relationships, and a collaborative mindset.
We combine technical excellence with human proximity.
General Information
Location:
Remote (Integral)
Contract Type:
Contractor
Industry / Project:
Fintech / Conversational AI & Agentic Workflows
Time Zone:
Coordination with US / LATAM / Global teams
English Level:
Advanced (C1)
About the Role
We are seeking a Senior AI Engineer specializing in LLMs and agentic architectures to join our core engineering team.
In this role, you will be responsible for designing, building, and deploying end-to-end AI agents that integrate directly into business ecosystems to deliver tangible value.
You will act as a subject matter expert on the latest generative AI advancements, establishing rigorous evaluation pipelines and optimizing prompt engineering, RAG, and tool connections for accuracy, speed, and cost efficiency.
Responsibilities
Agent Development & Deployment:
Design, build, test, and deploy robust, stateful, and scalable AI agents using Python and modern frameworks (Google ADK, LangChain, LlamaIndex, CrewAI, OpenAI SDK, etc.).
End-to-End System Integration:
Connect AI agents seamlessly with diverse data sources, internal services,



and external APIs to deliver complete, high-value workflows.
LLM Evaluation & Optimization:
Design and implement rigorous evaluation pipelines for LLM-powered agents, driving continuous testing and performance monitoring focused on accuracy, response speed, and cost efficiency.
Prompt Engineering & Custom Tooling:
Apply advanced prompt engineering techniques and develop custom tools, Retrieval-Augmented Generation (RAG) architectures, and vector search systems to ensure grounded, reliable performance.
Technical Scrutiny & Leadership:
Act as a subject matter expert on generative AI advancements, best practices, and protocols, guiding technical decisions across the agentic lifecycle.
Requirements
Must-Have:
5+ years of experience
in software engineering, with at least
1-2 years dedicated to building and deploying production-grade AI/ML applications
focused on LLMs or generative AI.
Technical Mastery:
Expertise in Python and deep hands-on familiarity with core LLM APIs and frameworks (OpenAI SDK, Google AI SDK, CrewAI, LangChain, LlamaIndex, etc.).
Agentic Systems & AI Architecture:
Proven experience implementing agentic workflows, including RAG architectures, vector databases, and state/memory management.
Engineering Fundamentals:
Strong understanding of software development best practices, version control (Git/GitHub), and CI/CD pipelines.
Execution & Communication:
Demonstrated ability to translate high-level business goals into clean, maintainable, and well-tested code.
Nice-to-Have
Active contributions to open-source AI projects or personal projects visible on GitHub.
Experience optimizing token usage, latency profiling, and LLM cost-attribution models.
What We Offer (Contractor)
Contractor agreement with payment in USD.
100% remote work in an international setting.
Access to Argentine public holidays.
Direct involvement in building cutting-edge conversational AI products.
Access to learning platforms, referral rewards, and English classes.
Explore this and other opportunities at:
Cordoba
#J-*****-Ljbffr

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