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Tier-1 brand, metro location, and broad fullstack-plus-AI skill requirements drive high competition.
Applied AI, enterprise SaaS, and field-deployment experience limit cross-industry transferability.
8+ years requirement plus mandatory AI, full-stack, and cloud skills enforce high shortlisting strictness.
Own end-to-end design, implementation, and delivery of LLM-enabled AI software solutions across backend, frontend, and orchestration pipelines.
Operate onsite with customers to adapt, deploy, and iterate scalable AI applications in live enterprise environments, often in high-stakes settings.
Codify reusable AI assets such as libraries, prompts, and scaffolds to accelerate future deployments and influence platform development.
8+ years in software engineering with at least 2 years in customer-facing or embedded roles involving system build and delivery.
Proven experience designing and deploying AI-native software solutions in production environments.
Proficiency in backend (Python, Node.js, Java), frontend frameworks (React, Angular), APIs (REST/GraphQL), and familiarity with LLM tooling like LangChain or Semantic Kernel.
Willingness and ability to travel up to 30% to work onsite with enterprise customers.
Systems-minded engineer who proactively owns full-stack AI-native software delivery and excels in integrating diverse technologies under customer-facing conditions.
Experienced in iterative production deployments with a strong product orientation towards scalable and secure enterprise solutions.
Comfortable operating in ambiguous, legacy-integrated environments and influencing platform strategy through field insights and reusable code contributions.