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)
About the Role
We are seeking a Senior AI Engineer specializing in LLMs and agentic architectures to join our core engineering 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.