Senior AI Engineer (Agentic Systems & LLMs) | Contractor General

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 global 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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