1040 - 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.

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

General Information

- Location: Remote (Global)
- Contract Type: Contractor
- Industry / Project: Fintech / Conversational AI & Agentic Workflows
- Time Zone: Coordination with US / LATAM / Global teams
- English Level: Advanced (C1)

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.

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