970a - AI Engineer (Agentic Systems / LLMs / Python)

Job Type: Remote

Project: Fintech Conversational AI Platform

Time Zone: Flexible within LATAM

English Level: B2 / C1

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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.

Get to Know Us

At Darwoft, we create software that drives real change. But we're more than just tech — we're 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

We're 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.

You'll 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.

You'll 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 You'll 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
• Argentina's public holidays
• English classes
• Referral program
• Access to learning platforms

Explore this and other opportunities at

www.darwoft.com/careers