Senior AI Engineer (Agentic Systems & LLMs) | Contractor Global
Darwoft is a software factory that develops custom software solutions and provides IT staff augmentation services for international clients, primarily the United States and Latin America.
The role is located remotely – global, with coordination across US, LATAM, and integral teams.
The contract type is Contractor and it focuses on Fintech / Conversational AI & Agentic Workflows.
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.
Key Responsibilities
Design, build, test, and deploy robust, stateful, and scalable AI agents using Python and modern frameworks (Google ADK, LangChain, LlamaIndex, CrewAI, OpenAI SDK, etc.).
Connect AI agents seamlessly with diverse data sources, internal services, and external APIs to deliver complete, high-value workflows.
Design and implement rigorous evaluation pipelines for LLM-powered agents, driving continuous testing and performance monitoring focused on accuracy, response speed, and cost efficiency.
Apply advanced prompt engineering techniques and develop custom tools,



Retrieval-Augmented Generation (RAG) architectures, and vector search systems to ensure grounded, reliable performance.
Act as a subject matter expert on generative AI advancements, best practices, and protocols, guiding technical decisions across the agentic lifecycle.
Requirements
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.
Expertise in Python and deep hands‐on familiarity with core LLM APIs and frameworks (OpenAI SDK, Google AI SDK, CrewAI, LangChain, LlamaIndex, etc.).
Proven experience implementing agentic workflows, including RAG architectures, vector databases, and state/memory management.
Strong understanding of software development best practices, version control (Git/GitHub), and CI/CD pipelines.
Demonstrated ability to translate high‐level business goals into clean, maintainable, and well‐tested code.
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.
Opportunity to work on self‐hosted LLMs powering consumer‐facing AI products.
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