Posted on: 19/02/2026
Job Description :
Role Overview :
- Design and develop Generative AI applications using LLM APIs, LangChain, and related frameworks.
- Build and implement Retrieval-Augmented Generation (RAG) pipelines using vector databases.
- Develop AI agents using frameworks such as LangGraph, Crew AI, or similar tools.
- Integrate AI capabilities into existing systems through REST APIs and backend services.
- Research and adopt emerging GenAI technologies and apply them to product development.
- Deploy and optimize AI applications on cloud environments ensuring scalability and performance.
- Collaborate with cross-functional teams to translate business requirements into AI solutions.
Required Qualifications & Skills :
- Strong programming skills in Python.
- Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Keras.
- Solid understanding of Transformer architectures, NLP techniques, and LLM-based systems.
- Experience working with vector databases (e.g., ChromaDB or similar).
- Strong understanding of data structures, algorithms, and REST API development.
- Experience building scalable software applications.
Core Competencies :
- Ability to translate research concepts into practical solutions.
- System design and engineering mindset.
- Effective collaboration and communication skills.
- Continuous learning attitude in a fast-evolving AI environment.
Preferred Qualifications :
- Exposure to cloud platforms (AWS, Azure, or GCP).
- Experience with Docker, containerization, and deployment workflows.
- Familiarity with MLOps or AI deployment pipelines.
- Experience in prompt engineering or model optimization.
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