𝗖𝗼𝗿𝗲 𝗦𝗸𝗶𝗹𝗹𝘀 & 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲

✔️ 10+ years of hands-on backend engineering experience in enterprise production environments

✔️ Proven experience designing and implementing 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗦𝗗𝗟𝗖 / 𝗔𝗜-𝗗𝗟𝗖 pipelines covering requirements ingestion, automated specification generation, AI-assisted development, code review, and quality gates

✔️ Strong hands-on expertise with 𝗝𝗮𝘃𝗮 𝟭𝟳+, 𝗦𝗽𝗿𝗶𝗻𝗴 𝗕𝗼𝗼𝘁 𝟯.𝘅, and 𝗠𝗶𝗰𝗿𝗼𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀 Architecture

✔️ Experience integrating and operating 𝗟𝗟𝗠 𝗔𝗴𝗲𝗻𝘁𝘀 using frameworks such as 𝗟𝗮𝗻𝗴𝗖𝗵𝗮𝗶𝗻𝟰𝗷, 𝗦𝗽𝗿𝗶𝗻𝗴 𝗔𝗜, 𝗔𝘂𝘁𝗼𝗚𝗲𝗻, 𝗖𝗿𝗲𝘄𝗔𝗜, or equivalent

✔️ Hands-on experience with 𝗠𝗖𝗣 (𝗠𝗼𝗱𝗲𝗹 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 𝗣𝗿𝗼𝘁𝗼𝗰𝗼𝗹), AI orchestration frameworks, and multi-agent workflows

✔️ Strong expertise in 𝗥𝗔𝗚 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀, 𝗩𝗲𝗰𝘁𝗼𝗿 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀, Embeddings, and Prompt Engineering for enterprise-scale development workflows

✔️ Experience building event-driven architectures using 𝗔𝗽𝗮𝗰𝗵𝗲 𝗞𝗮𝗳𝗸𝗮 and developing cloud-native solutions on 𝗔𝗪𝗦

✔️ Strong exposure to 𝗗𝗼𝗰𝗸𝗲𝗿, 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀, 𝗖𝗜/𝗖𝗗, 𝗢𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆, and modern DevOps practices

✔️ Expertise in 𝗢𝗽𝗲𝗻𝗔𝗣𝗜, Spec-Driven Development, Secure Coding Standards, and regulated environment compliance requirements

✔️ Experience governing AI tooling in Banking, FinTech, or other highly regulated industries with focus on data privacy, auditability, and compliance