Job description for Agentic AI Developer at Dot Indonesia
About DOT Indonesia
DOT Indonesia has been delivering fully customized IT solutions since 2011, guided by our mission to create intelligent, competitive products that drive exceptional outcomes for our clients. Rooted in agile philosophy, we adapt and innovate to meet evolving business needs.
Over the years, we have successfully collaborated with several clients from different business sectors, such as mining & energy, finance, e-commerce, education, human resource, and government.
Our diverse team of strategists, designers, technologists, and creators work together to turn ideas into reality. Whether you're a thinker, explorer, maker, or creator, there’s a place for you at DOT Indonesia. Join us as a DOT Ranger and grow your career with our AHEAD (agile, harmony, excellent, altruistic, and driven) values!
Job Description
As an Agentic AI Developer, you will be responsible for developing GenAI-powered applications and integrating Large Language Models (LLMs) into enterprise systems. You will work on building reliable AI-enabled applications while collaborating with engineering teams to integrate them into existing business environments.
Job Responsibilities
- Develop GenAI and agentic AI applications using Python or other relevant programming languages.
- Build and maintain software components supporting AI-powered applications.
- Integrate Large Language Models (LLMs) with enterprise systems and applications.
- Develop APIs, services, and application workflows required for AI integration.
- Collaborate with engineering and other technical teams to implement GenAI solutions.
- Support testing, troubleshooting, and improvement of AI-powered applications.
Qualifications
- Minimum Bachelor’s degree (S1) in Computer Science, Information Technology, Engineering, or related field.
- Minimum 3 years of experience in software development/programming, preferably using Python or related technologies.
- Minimum 1 year of experience working on Generative AI projects.
- Hands-on experience integrating Large Language Models (LLMs) with enterprise systems.
- Able to provide relevant project references demonstrating the required experience.
