Senior Data Science and AI Engineer

• Lead the end-to-end development of AI models.

• Architect scalable AI systems and infrastructure to support large-scale data processing and model training.

• Mentor and coach junior AI engineers, fostering a culture of continuous learning and technical excellence.

• Collaborate with product managers and business stakeholders to define AI strategy and roadmap.

• Conduct research and stay abreast of advancements in AI/ML fields to drive innovation.

• Ensure robustness, scalability, and performance of AI solutions in production environments.

• Bachelor’s or Master’s. in Computer Science, Engineering, or a related field.

• 4+ years of experience in AI, machine learning, or data science roles, with a proven track record of delivering complex projects.

• Proven experience designing and deploying Generative AI (GenAI) systems using large language models (LLMs).

• Expertise in Python, TensorFlow, PyTorch, or other ML frameworks.

• Strong knowledge of distributed computing, data engineering, and cloud platforms.

• Hands-on experience with RAG architectures, vector search engines, and embedding models.

• Deep experience with prompt engineering and LLM fine-tuning.

• Experience building intelligent agent-based systems using frameworks like LangChain, LangGraph, or CrewAI.

• Familiarity with LLM evaluation, observability, and cost/performance optimization.

• Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud

• Excellent leadership, communication, and stakeholder management skills.

• Experience working with multi-agent architectures, planning/execution agents, or tool-using LLMs.

• Contributions to open-source GenAI projects, or participation in applied research involving LLMs, embeddings, or agentic reasoning.

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