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Strong Tier-1 brand, metro location, mid-level generalist seniority, and popular AI role increase applicant competition.
Role requires specialized LLM, agent orchestration, vector DB and MLOps skills, limiting cross-industry transferability.
Explicit 5+ years plus mandatory specialized ML/AI, LLM, vector DB, cloud, and infra skills make shortlisting highly strict.
Own design and implementation of LLM-driven AI agent services integrating with multi-agent frameworks and AWS infrastructure.
Lead technical direction, mentorship, and AI-assisted engineering practice adoption to improve code quality and delivery outcomes.
Drive decisions impacting product design, functionality, and operational processes with a focus on secure, scalable AI solutions.
5+ years of applied experience in software engineering and formal training or certification in software engineering concepts.
Strong hands-on skills in Python, Pydantic, FastAPI, LangGraph, Vector Databases, and AWS services (EKS, Lambda, S3, Terraform).
Experience with LLM integration, AI agent frameworks (Langchain/LangGraph, Autogen, MCPs, A2A), and software development life cycle tools including CI/CD, Terraform, Kubernetes, Docker, and APIs.
Demonstrated leadership in enterprise-authorized AI-assisted software development tools and responsible AI use including security and data sensitivity considerations.
Experienced leader comfortable independently solving complex design and functionality challenges in AI-driven software engineering within cloud-native environments.
Strong domain knowledge in AI technologies applied to software engineering, particularly in building and orchestrating AI agents on AWS.
Proven ability to influence team practices around AI governance and validation standards ensuring secure, performant, and compliant AI-assisted development workflows.