𝗖𝗼𝗿𝗲 𝗦𝗸𝗶𝗹𝗹𝘀 & 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲

✔️ Strong experience in 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 using 𝗟𝗮𝗿𝗴𝗲 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹𝘀 (LLMs)

✔️ Expertise in building 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 𝘀𝘆𝘀𝘁𝗲𝗺𝘀, autonomous agents & multi-agent orchestration workflows

✔️ Hands-on experience with 𝗟𝗮𝗻𝗴𝗖𝗵𝗮𝗶𝗻 / 𝗟𝗮𝗻𝗴𝗚𝗿𝗮𝗽𝗵 or similar agent frameworks

✔️ Strong knowledge of 𝗥𝗔𝗚 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 with vector databases & semantic search pipelines

✔️ Expertise in embeddings, vector DBs, prompt engineering & tool calling

✔️ Strong experience in context engineering to optimize 𝘁𝗼𝗸𝗲𝗻 𝘂𝘁𝗶𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 & 𝗹𝗮𝘁𝗲𝗻𝗰𝘆

✔️ Experience integrating AI systems with 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗔𝗣𝗜𝘀, middleware & backend services

✔️ Strong Python experience (FastAPI, NumPy, pandas, PyTorch/TensorFlow)

✔️ Experience deploying AI solutions on 𝗔𝘇𝘂𝗿𝗲 / 𝗔𝗪𝗦 / 𝗕𝗲𝗱𝗿𝗼𝗰𝗸 / 𝗩𝗲𝗿𝘁𝗲𝘅 𝗔𝗜

✔️ Strong understanding of model evaluation, guardrails, observability & AI governance

✔️ Experience with 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀, CI/CD (Jenkins/GitLab) & DevOps pipelines

✔️ Strong exposure to microservices, event-driven architecture & cloud-native systems

✔️ Experience in designing scalable AI data ingestion & vector indexing pipelines