Principal Engineer

REQUIREMENT:

• Total years of experience 13 to 15 years. 
• AI Architecture Design Architect scalable AI ecosystems covering RAG, data pipelines, MCP, and agentic AI.
• Data & Knowledge Infrastructure Ownership Define how data flows into embeddings, vector stores, and retrieval layers for context-aware systems.
• MLOps & Cloud Governance Set up CI/CD, monitoring, and cost-optimization for AI workloads across Azure/GCP/AWS.
• Modal Context Protocol (MCP) Integration Build interoperability between AI systems, enterprise data, and delivery tools.
• RAG Strategy & Data Governance Define RAG templates, data governance standards, and retrieval optimization frameworks.
• Concept-to-MVP Leadership Deliver AI MVPs in 90-day cycles with measurable ROI and governance alignment.
• Accelerator Ownership Build reusable RAG pipelines, prompt templates, and orchestration accelerators.
• Team & Capability Development Mentor full-stack AI developers; set architecture, data, and delivery standards.
• Business Value Measurement Track ROI, automation %, and cost savings per AI deployment
• LLM & Agent Frameworks: Lang Graph, Crew AI, Auto Gen, Semantic Kernel
• RAG & Data Pipelines: Lang Chain RAG, Llama Index, Databricks, Airflow, Pandas
• Vector Databases: Pinecone, Chroma, FAISS, Weaviate
• Cloud & MLOps: MLflow, Kubernetes, Docker, Azure ML, Vertex AI
• MCP & Interoperability: Modal Context Protocol, Context Graphs
• Governance & Monitoring: Prometheus, Grafana, Open Telemetry, Responsible AI Toolkit
• Emerging Tools: Open Devin, Model Context API, Hugging GPT.
• Core Traits: End-to-end ownership, data-awareness, system thinking, and measurable delivery accountability.

RESPONSIBILITIES:

• Writing and reviewing great quality code
• Understanding functional requirements thoroughly and analysing the client’s needs in the context of the project
• Envisioning the overall solution for defined functional and non-functional requirements, and being able to define technologies, patterns and frameworks to realize it
• Determining and implementing design methodologies and tool sets
• Enabling application development by coordinating requirements, schedules, and activities.
• Being able to lead/support UAT and production roll outs
• Creating, understanding and validating WBS and estimated effort for given module/task, and being able to justify it
• Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement
• Giving constructive feedback to the team members and setting clear expectations.
• Helping the team in troubleshooting and resolving of complex bugs
• Coming up with solutions to any issue that is raised during code/design review and being able to justify the decision taken
• Carrying out POCs to make sure that suggested design/technologies meet the requirements

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.