About the Role
Our client — a rapidly growing technology company at the forefront of AI and GenAI innovation — is seeking a Senior AI Engineer to lead the design, development, and deployment of next-generation AI solutions for enterprise clients.
You'll architect, fine-tune, and optimize LLMs and ML models, build scalable pipelines, and integrate AI into production systems across industries. This is a technical, hands-on role where you'll collaborate directly with solution architects and product leaders to deliver impactful, scalable AI systems.
Key Responsibilities
- Architect and implement AI/GenAI solutions for public and private clouds (AWS, Azure, GCP).
- Train, fine-tune, and optimize large language models for domain-specific applications.
- Build and maintain data pipelines for ingestion, transformation, and feature engineering.
- Develop secure APIs and SDKs to embed AI within enterprise environments.
- Drive model performance optimization for efficiency and scalability.
- Ensure all AI implementations meet enterprise security and compliance standards.
- Collaborate cross-functionally with product, architecture, and leadership teams.
- Research and adopt emerging AI technologies to evolve the company's capabilities.
Minimum Qualifications
- Bachelor's/Master's in Computer Science, AI/ML, Data Science, or related field.
- 3–5+ years in AI/ML engineering, with at least 1 year working on LLMs or GenAI.
- Proficiency in Python and experience with PyTorch, TensorFlow, Hugging Face Transformers, LangChain, or LlamaIndex.
- Expertise in RAG (Retrieval-Augmented Generation) and vector databases.
- Strong knowledge of cloud AI platforms (AWS Bedrock/SageMaker, Azure OpenAI, Google Vertex AI).
- Skilled in ML Ops and CI/CD pipelines for AI solutions.
- Familiarity with microservices, REST APIs, gRPC, and enterprise system integration.
- Excellent problem-solving, analytical, and communication abilities.
- Fluent in English.
- Experience with multi-modal AI (text, image, video, audio).
- Familiarity with data protection regulations (GDPR, PDP Indonesia).
- Experience deploying AI systems using Docker/Kubernetes.
- Exposure to AI use cases in finance, telecom, HR, or legal tech industries.
Job Type: Full-time
Ability to commute/relocate:
- Jakarta: Reliably commute or planning to relocate before starting work (Required)
Experience:
- AI Engineering: 3 years (Required)
Language:
- English (Required)