Job Summary
Data & AI Scientist
. Must haves
1. Python literacy - min 2years+ working on production grade LLM based applications
2. AgenticAI - Langgraph, ADK, CrewAI, multi-agent architectures - experience in building deployable solutions, not jupyter notebooks
3. AI Engineering - RAG pipelines, prompt engineering, VertexAI experience, LLMOps and runtime evaluation/monitoring
. Nice to haves
1. Responsible AI - strong understanding of AI ethics, risks and mitigations incl. guardrail development
2. Software Engineering - strong understanding of microservices architecture, CI/CD pipelines, event driven architecture
Key Responsibilities
2. To conduct comprehensive code reviews, establish and oversee quality assurance processes, performance optimization , implementation of best practices and coding standards to ensure successful delivery of complex projects.
3. To ensure process compliance in the assigned module| and participate in technical discussions/review as a technical consultant for feasibility study (technical alternatives, best packages, supporting architecture best practices, technical risks, breakdown into components, estimations).
4. To collaborate with stakeholders to define project scope, objectives, deliverables and accordingly prepare and submit status reports for minimizing exposure & closure of escalations.