Skills & Requirements

- Minimum 10+ years of experience in software engineering, system architecture, or platform engineering and minimum 1+ years of experience in AI solutioning.
- Proven hands-on experience in developing and productionizing AI based solution.
- Strong foundation in Machine Learning, LLMs, and modern AI architectures.
- Solid experience in system design and architecture trade-offs (performance, scalability, cost, reliability).
- Hands-on experience with microservices architecture, API design, and event-driven systems.
- Familiarity with data architecture and data pipelines using tools such as Apache Spark, Airflow, Prefect, Dagster, or Kafka-based pipelines will be added advantage.
- Familiarity with model serving and inference frameworks such as Ollama/TensorFlow Serving/ Triton Inference Server/vLLM.
- Familiarity with MLOps / LLMOps practices, including model deployment, monitoring, and lifecycle management, including tools such as MLf...