Senior AI Engineer (Agentic Systems / LLMs / Python) LATAM

• Location: Anywhere in LATAM
• Job Type: Remote
• Project: Fintech Conversational AI Platform
• Time Zone: Flexible within LATAM
• English Level: B2 / C1

Disclaimer Must read: Commitment & Focus
This role requires full-time dedication with clear priority given to Darwoft projects during the established working is not compatible with other full-time professional additional professional activities must be disclosed in advance and must not interfere with the responsibilities or working hours of this role.

Get to Know Us

At Darwoft we create software that drives real change. But were more than just tech were people first. We believe in building human-centered digital experiences and having fun while we do it.

Our team is curious passionate and always growing. Based in Latin America we partner with companies worldwide to develop innovative solutions with purpose.

We work remotely collaboratively and with a strong sense of community always embracing continuous learning adaptability and real impact.

About the Role

Were looking for a Senior AI Engineer to join a high-impact fintech project focused on building next-generation conversational AI systems.

This is not a traditional chatbot role.

Youll be working on production-grade agentic systems evolving AI from simple interactions into autonomous multi-agent architectures capable of reasoning planning and executing complex workflows across critical business domains.

Youll operate close to the core AI strategy collaborating with product and engineering teams to bring intelligent systems into real-world production environments with direct impact on thousands of users.

What Youll Be Doing

• Design build and deploy stateful AI agents using Python and modern agentic frameworks (LangGraph CrewAI etc.)
• Develop multi-agent systems capable of handling complex multi-step workflows with reasoning and planning
• Implement and optimize RAG pipelines using vector databases for accurate and grounded outputs
• Integrate AI agents into core product infrastructure (APIs internal services business workflows)
• Build LLMOps capabilities including monitoring tracing and observability of agent behavior (reasoning paths latency tool usage)
• Design advanced evaluation pipelines (evals-as-code) using techniques like LLM-as-a-judge semantic similarity and adversarial testing
• Optimize systems for performance and cost efficiency (prompt optimization caching model routing)
• Ensure production readiness through CI/CD pipelines containerization (Docker/Kubernetes) and system reliability practices
• Collaborate with cross-functional teams to translate business needs into scalable AI solutions
• Mentor and contribute to best practices in AI engineering and software craftsmanship

What You Bring

• 7 years of experience in software engineering
• 2 years building AI / Generative AI systems in production
• Strong proficiency in Python
• Hands-on experience with LLM frameworks and APIs (OpenAI LangChain LlamaIndex CrewAI or similar)
• Proven experience designing agentic systems (multi-agent workflows memory/state management)
• Solid experience with RAG architectures and vector databases
• Strong understanding of software engineering fundamentals (Git testing CI/CD)
• Experience integrating AI into real production environments not just prototypes
• Ability to translate business problems into scalable technical solutions
• Strong communication skills in a remote English-speaking environment

Nice to Have

• Experience in fintech payments fraud or financial platforms
• Experience with LLMOps tools (LangSmith Arize Weights & Biases etc.)
• Experience with evaluation frameworks and benchmarking for LLM systems
• Background in cost optimization of AI systems at scale
• Contributions to open-source or public AI projects
• Experience working in high-growth fast-paced environments

What Darwoft Offers

• Contractor agreement with payment in USD
• 100% remote work
• Argentinas public holidays
• English classes
• Referral program
• Access to learning platforms

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