Applied AI Engineer

Prediktive -Latin America, LATAM, United States We are looking for an Applied AI Engineer based in Latin America to work on a long-term project for one of our clients, a Software Development company based in Atlanta, Georgia. Our client is building a secure, bank-grade AI infrastructure and developing cutting‑edge applications designed to power the next generation of modern banking and financial services. Responsibilities Design, develop, and maintain AI-powered applications and workflows, including agents, multi‑agent systems, and RAG‑based solutions. Integrate LLMs and AI services into internal and client‑facing products to improve engineering productivity, automation, and software quality. Build AI tooling for code generation, testing, documentation, debugging, and developer enablement. Develop evaluation, monitoring, and observability frameworks for AI systems, including prompt quality, latency, reliability, and hallucination tracking. Implement scalable AI pipelines and orchestration workflows using modern AI frameworks and cloud infrastructure. Prototype and rapidly iterate on AI‑driven solutions while balancing experimentation with production readiness. Optimize prompt engineering, retrieval strategies, memory management, and context orchestration. Ensure AI systems follow security, privacy, and governance best practices. Requirements Advanced Level of English. 5+ years of professional software engineering experience with strong Python development skills. Hands‑on experience building AI systems in production environments, including agents, agentic workflows, RAG pipelines, or LLM‑powered applications. Experience with modern AI frameworks and tooling such as LangChain, LangGraph, LlamaIndex, OpenAI APIs, Anthropic APIs, or similar ecosystems. Solid understanding of vector databases, embeddings, semantic search, and retrieval architectures. Experience designing APIs and backend services for AI‑enabled applications. Familiarity with AI evaluation, instrumentation, observability, and monitoring tools. Experience with cloud platforms and production infrastructure (AWS, Azure). Strong knowledge of software engineering best practices, including testing, CI/CD, scalability, and maintainability. Experience working with Docker and containerized deployments. Bonus Points Bachelor’s Degree in Computer Science, Systems Engineering or related fields. What we offer Compensation in USD Paid time off Cool clients and products Work with great engineers 4tech #J-18808-Ljbffr