Tech
AI Engineer
Build and deploy production-ready AI systems, LLM applications, RAG pipelines, intelligent agents, and automation solutions for real-world business use cases.
About the role
Yanisa Execution is looking for an AI Engineer to design, build, deploy, and improve production-grade AI applications.
You will work across LLM-powered systems, Retrieval-Augmented Generation, AI agents, intelligent automation, API integrations, structured and unstructured data, and backend services.
This is a hands-on engineering role. You will be expected to move beyond experimentation and build AI systems that are reliable, scalable, secure, measurable, and usable in real business environments.
You will collaborate closely with product, engineering, and business teams to convert real operational problems into intelligent AI-powered solutions.
What you'll do
- Build production-ready AI and Generative AI applications
- Design and develop RAG pipelines for enterprise knowledge systems
- Build AI agents capable of executing multi-step business workflows
- Integrate OpenAI and other LLM APIs into applications
- Develop backend AI services using Python and FastAPI
- Design prompt pipelines, tools, function calling, and structured outputs
- Build embedding, retrieval, reranking, and semantic search workflows
- Work with vector databases and document-processing pipelines
- Integrate AI systems with CRM, ERP, WhatsApp, email, databases, and third-party APIs
- Build evaluation frameworks for AI responses and retrieval quality
- Improve model accuracy, latency, reliability, and cost efficiency
- Implement guardrails, error handling, logging, and monitoring
- Work with structured and unstructured business data
- Deploy and maintain AI services in production environments
- Research and evaluate emerging models, frameworks, and AI technologies
- Collaborate with frontend and full-stack developers on AI-powered product features
- Document architecture, APIs, workflows, and technical decisions
What we're looking for
- Strong proficiency in Python
- Hands-on experience with FastAPI or similar backend frameworks
- Good understanding of Large Language Models and Generative AI
- Experience building applications using OpenAI APIs or similar LLM providers
- Understanding of RAG architecture and retrieval pipelines
- Experience with embeddings and vector databases
- Knowledge of AI agents, tool calling, and workflow orchestration
- Understanding of REST APIs and system integrations
- Experience working with databases
- Knowledge of prompt engineering and structured LLM outputs
- Understanding of AI evaluation, hallucination control, and response quality
- Experience with Git and GitHub
- Strong debugging and problem-solving skills
- Ability to independently take features from idea to production
- Good communication and collaboration skills
Apply for this role
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