Sr Data Engineer (Python, SQL, AI Solutions)
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Job Description
Structured overview of role & requirementsAbout This Role
Architect and develop scalable, multi-agent AI systems that enhance Sales and Service delivery with context-aware digital assistants.
Engineer and deploy advanced Retrieval-Augmented Generation (RAG) pipelines integrating diverse business intelligence for real-time client understanding.
Lead the transition of AI applications from proofs of concept to robust, high-availability production environments supporting thousands of global users.
Minimum Requirements
4–6 years of professional software engineering experience with production-quality code delivery.
Strong proficiency in Python, including Fast API, asynchronous programming, and performance optimization.
Hands-on experience with AI orchestration frameworks (LangGraph or LangChain) and Retrieval-Augmented Generation using Vector Databases.
Experience designing and deploying scalable solutions on AWS (Lambda, ECS/EKS, API Gateway, DynamoDB) and knowledge of distributed systems, APIs, microservices, and container orchestration.
Ideal Candidate Profile
Experienced in evolving complex AI systems from experimental stages to high-availability production at scale.
Skilled in integrating multiple data sources and orchestration of intelligent agents to automate and enhance business workflows.
Capable of collaborating with cross-functional global teams including Product Managers and Data Scientists to implement AI-driven business solutions.