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Hot GenAI specialization, mid-level experience, metro location, and broad AI skillset drive high competition.
Role requires specialized GenAI and LLM expertise, limiting easy cross-industry transfer.
Explicit 4+ years plus mandatory GenAI, LLMs, agents, vector DBs and AWS increases shortlisting strictness.
Engineer and maintain high performance, secure software solutions focused on Generative AI and Agentic AI.
Work within a feature team responsible for full software lifecycle including development, enhancement, maintenance, and decommissioning.
Collaborate with engineers, architects, and analysts to optimise software engineering capabilities and implement AI-powered applications.
Minimum 4 years of software engineering experience.
Hands-on experience with Generative AI, Agentic AI, LLMs, RAG, agents, and API development.
Proficiency in Python and knowledge of vector databases, embeddings, and knowledge retrieval patterns.
Experience with AWS cloud services and deployment, plus understanding of CI/CD and secure application development best practices.
Experienced in building and deploying AI-powered applications using large language models and related AI technologies within cloud environments.
Comfortable managing full software development lifecycle from requirements analysis through deployment and operations.
Able to integrate GenAI evaluation, monitoring, guardrails, and optimisation into production solutions.