Senior AI/ML Engineer — LLM Agents at Fire AI
Hyderabad, Telangana, India · noida · full time · senior level
Compensation: INR 4500000 per year
About the role
## About the role Fire AI is hiring a Senior AI/ML Engineer in Hyderabad to build the production LLM agents and copilots behind its text-to-SQL and conversational analytics — advanced RAG, agentic workflows, evaluation and monitoring — and to mentor the AI/ML engineers around them. **Openings:** 1 · **Experience:** 5+ years, 3+ with production LLM/agent systems · **Employment:** full-time **Location:** Hyderabad, Telangana, India — new office in Financial District / HITEC City · **Working week:** 6 days — Monday to Friday from the office, Saturday from home · **Hours:** 10 AM – 7 PM · **Until the office opens (around 15 December):** work from home ## About Fire AI Fire AI is building a decision intelligence platform — not another BI tool. Intelligent dashboards, automated reporting, smart alerts in 60 seconds instead of 6 days, time-series forecasting at 94% accuracy, text-to-SQL at 98% accuracy and causal-chain analysis that answers "why", not just "what". 72% of its users are non-technical (CFOs, ops managers) working through conversational AI in 90+ languages. It serves 120+ brands across 17+ industries — including IRCTC, CWC, Faballey and GSN Group — with zero churn, grew from $28.3K to $512.9K MRR in seven months, and is backed by Venture Catalysts, IPV and SucSEED. The engineering team is expanding into a new Hyderabad office. ## What you will build - Design production-grade LLM agents and copilots — advanced RAG, prompt engineering and agentic workflows that reduce hallucinations — powering customer-facing analytics and automation. - Lead AI features end to end, from research to production rollout, with evaluation frameworks, A/B testing and performance monitoring. - Deploy and monitor AI models in production: observability, alerting, drift detection, automated retraining, and cost-efficient model serving. - Keep AI services within enterprise SLAs for 120+ brands — inference performance, latency and cost for multi-agent systems and conversational analytics in 90+ languages. - Mentor junior AI/ML engineers, run technical design reviews, and work with frontend, backend and data engineering on integration. ## What you need - 5+ years in AI/ML engineering, with 3+ years building production LLM or agent systems - Has shipped customer-facing AI features with measurable business impact - Python, PyTorch or TensorFlow, LangChain or LlamaIndex, vector databases (Pinecone, Weaviate or similar) and RAG systems - Production AI practice: model monitoring, drift detection, A/B testing, inference optimisation - Technical leadership: has mentored engineers, run architecture reviews and set production standards ## Nice to have - Text-to-SQL or analytics copilots. - Multilingual conversational AI. - Experience working directly with Product and Customer Success on AI feature design. **Interview process:** 3 rounds. **Career path:** Senior AI/ML Engineer → AI Architect → Director of AI Engineering. Competitive compensation plus significant equity. ## Working model - **Location:** Hyderabad, Telangana. Fire AI is opening a new office in Financial District / HITEC City. - **Six-day working week:** Monday to Friday from the office, Saturday from home. - **Hours:** 10 AM – 7 PM. - **Before the office opens:** the office is expected to be ready around 15 December; until then the team works from home. - **Not a hybrid role.** After the office opens, Monday to Friday in the office is required. - **Relocation:** candidates outside Hyderabad need to relocate.
Responsibilities
- Design production-grade LLM agents and copilots — advanced RAG, prompt engineering and agentic workflows that reduce hallucinations — powering customer-facing analytics and automation.
- Lead AI features end to end, from research to production rollout, with evaluation frameworks, A/B testing and performance monitoring.
- Deploy and monitor AI models in production: observability, alerting, drift detection, automated retraining, and cost-efficient model serving.
- Keep AI services within enterprise SLAs for 120+ brands — inference performance, latency and cost for multi-agent systems and conversational analytics in 90+ languages.
- Mentor junior AI/ML engineers, run technical design reviews, and work with frontend, backend and data engineering on integration.
Requirements
- 5+ years in AI/ML engineering, with 3+ years building production LLM or agent systems
- Has shipped customer-facing AI features with measurable business impact
- Python, PyTorch or TensorFlow, LangChain or LlamaIndex, vector databases (Pinecone, Weaviate or similar) and RAG systems
- Production AI practice: model monitoring, drift detection, A/B testing, inference optimisation
- Technical leadership: has mentored engineers, run architecture reviews and set production standards
Skills: Python, LLM agents, RAG, LangChain, LlamaIndex, Vector databases, Pinecone, Weaviate, Prompt engineering, Agentic workflows, Text-to-SQL, Model evaluation, MLOps, Mentoring
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