[Hiring] AI Engineer @Darwoft

Role Description

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.

Qualifications

• 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.

Requirements

• Active contributions to open-source AI projects or personal projects visible on GitHub.
• Experience optimizing token usage, latency profiling, and LLM cost-attribution models.

Benefits

• 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.