This is a contractual role for minimum 6 months.You will build the language layer of an AI diagnostics platform: the part that turns a diagnosed fault into guidance a support agent can read out, a technician can follow, and a customer can act on through a self service bot. You own the knowledgebase, the retrieval pipeline, LLM evaluation and the guardrails that stop the system inventing a fix. You report to the ML lead and work in two week sprints.What you will do :- Build the vectorized knowledgebase from procedures, runbooks and resolved ticket notes, and keep it current as users feed back what worked.- Build the retrieval pipeline that pulls the right procedure for a given diagnosis and grounds every generated instruction in it.- Run LLM evaluation for latency, quality and grounding accuracy, and recommend fine tune or swap with evidence.- Generate the outputs each user group needs: agent guidance cards and scripts, repair steps for technicians, self service dialogue for the bot,



with a safe escalation when the knowledgebase has no answer.- Build the evaluation harness and guardrails: grounding checks, hallucination tests, regression suites on every change.What you bring :- 2 or more years in software or ML engineering, with at least one LLM based feature shipped to real users.- Robust Python; hands on with a vector store, an embedding model and an LLM API or serving stack; comfortable with containers and CI.- Built a retrieval augmented generation system and can explain where it failed and what you changed.- Evaluation first: you have written grounding or hallucination tests and can show a before and after on a change.- Clear written and spoken English.Good to have :- Fine tuning open weight models and measuring the result against a hosted alternative.- Conversational bots that take real actions, and the safety rules around them.- Shipping LLM features in a non English language. (ref:hirist.tech)

📌 Nomiso - Generative AI Engineer (Hyderabad)
🏢 Nomiso
📍 Hyderabad