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.
Senior AI Engineer (Agentic Systems LLMs) | Contractor Global General Information Location: Remote (Global) Contract Type: Contractor Industry / Project: Fintech / Conversational AI Agentic Workflows Time Zone: Coordination with US / LATAM / General 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:

📌 Ai Engineer (Agentic Systems / Llms) · Senior · Latam (Córdoba)
🏢 Darwoft
📍 Córdoba