Job description for AI Engineer – Generative AI & Agentic Systems at Pt. Kalyana Adikarya Abadi
AI Engineer – Generative AI & Agentic Systems
Location: Jakarta / Tangerang
Employment Type: Full-time
Department: Technology / AI & Data
Reports to: Engineering Lead
Company Description
Kalyana Solutions (PT Kalyana Adikarya Abadi) is an Indonesian enterprise technology solutions and services provider that helps organizations modernize operations, improve efficiency, and accelerate digital transformation.
Kalyana provides services across intelligent automation, enterprise AI, custom software development, data engineering and business intelligence, cybersecurity, and enterprise business applications. The company supports clients throughout the technology lifecycle, from assessment and solution design to development, integration, implementation, and ongoing support.
By combining technical expertise with a practical, business-focused approach, Kalyana delivers secure, scalable, and enterprise-ready solutions that address operational needs and create measurable business value.
About the Role
We are looking for a mid-level AI Engineer to build and deploy practical AI solutions for business use cases.
You will work on generative AI, retrieval-augmented generation, AI agents, document processing, machine learning, and system integration. This is a hands-on role covering solution design, development, testing, deployment, and production support.
Key Responsibilities
• Build and deploy production-ready AI applications.
• Develop generative AI and RAG solutions.
• Build AI agents with tool-calling capabilities.
• Integrate AI services with applications and APIs.
• Prepare structured and unstructured data for AI use cases.
• Build automated model evaluation and testing workflows.
• Monitor model quality, performance, usage, and cost.
• Deploy and support AI workloads in cloud environments.
• Apply security and responsible-AI practices.
• Document solutions and participate in code reviews.
Required Qualifications
• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent experience.
• Around 3–6 years of relevant engineering experience.
• Strong Python programming skills.
• Experience building production software, data, or AI applications.
• Experience using generative AI models or APIs.
• Understanding of prompts, structured outputs, RAG, and embeddings.
• Familiarity with AI agents or multi-step LLM workflows.
• Experience developing APIs and backend services.
• Experience with Git, testing, and CI/CD.
• Experience with at least one cloud platform.
• Strong debugging and problem-solving skills.
Preferred Qualifications
• Experience with LangChain, LangGraph, LlamaIndex, or similar frameworks.
• Experience with commercial or open-source language models.
• Experience with pgvector, Pinecone, Weaviate, Milvus, or OpenSearch.
• Experience with PyTorch, Hugging Face, or scikit-learn.
• Experience with document intelligence or multimodal AI.
• Familiarity with AI evaluation or observability tools.
• Docker experience is a strong plus.
• Kubernetes or MLOps experience is a plus.
• Experience in enterprise environments is a plus.
What Success Looks Like
• AI solutions progress successfully from prototype to production.
• Applications are reliable, secure, and maintainable.
• Model quality is measured and improved systematically.
• Solutions address clear business needs.
• Production issues are resolved effectively.
