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 Global
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)Responsibilities
Agent Development & Deployment:
Design, build, test, and deploy robust, stateful, and scalable AI agents using Python and modern frameworks (Google ADK, Lang Chain, Llama Index, 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, Lang Chain, Llama Index, 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/Git Hub), 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 Git Hub. 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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