Senior Full Stack AI Engineer

Senior AI Engineer

**Fire AI Hyderabad 6-9 Years Experience**

Would you rather train models or build production LLM agents powering enterprise decisions?

Fire AI isn’t another BI tool. We’re the hypergrowth startup building the world’s best decision intelligence platform with  zero churn

,  120+ category-defining brands

 (IRCTC, CWC, Faballey, GSN Group), and scaling from  $28.3K to $16M MRR by 2030

 with  aggressive global expansion underway

.

We’re solving the enterprise analytics crisis where  92% of companies struggle with data analysis

 and  70% say static dashboards don’t improve decisions

. Our platform delivers  intelligent dashboards, automated reporting, smart alerts (60 seconds vs. 6 days), time series forecasting (94% accuracy), and causal chain analysis

 that answers “why” not just “what.”  72% of our users are non-technical

 (CFOs, ops managers) using conversational AI in  90+ languages

.

Customer quote:  “Feels less like a tool, more like a decision partner”

. We’ve driven  30% lower losses

 for pharma clients and  12% margin recovery

 for industry giants. Backed by  Venture Catalysts, IPV, SucSEED

.

What You’ll Actually Build

You’re not fine-tuning in notebooks—you’re building  production LLM agents and copilots

 achieving high task success rates powering  text-to-SQL (98% accuracy) and conversational analytics

 at enterprise scale.

• Design production-grade LLM agents and copilots

  —implement advanced RAG systems, prompt engineering, agentic workflows reducing hallucinations; develop context-aware AI powering customer-facing analytics and automation

• Lead end-to-end AI feature development

  —research through production rollout building capabilities driving adoption and business outcomes; implement model evaluation frameworks, A/B testing, performance monitoring

• Deploy and monitor production AI models

  —maintain comprehensive observability and alerting, implement drift detection, automated retraining, performance degradation alerts; optimize infrastructure costs through efficient model serving

• Maintain AI service uptime

  —meet enterprise SLA commitments supporting  120+ brands

  ; optimize inference performance, latency, cost for  multi-agentic systems

   and  conversational analytics in 90+ languages

• Mentor and collaborate

  —coach junior AI/ML engineers, conduct technical design reviews, collaborate with frontend/backend/data engineering on seamless integration across  700+ integrations

   and  17+ industries

You’re Built For This If…

• Built production LLM systems

  —6-9 years AI/ML engineering with 3+ years production LLM/agent experience; proven delivery of customer-facing AI features with measurable business impact

• LLM agent expert

  —proficient in Python, PyTorch/TensorFlow, LangChain/LlamaIndex, vector databases (Pinecone/Weaviate), RAG systems; understand prompt engineering and agentic workflows

• Production AI mindset

  —deployed scalable AI systems with high reliability, implemented model monitoring, drift detection, A/B testing, inference optimization

• Technical leader

  —mentored engineers, conducted architecture reviews, established production standards; understand how AI enables  causal chains, forecasting, intelligent dashboards

• Cross-functional collaborator

  —worked with Product, Engineering, Customer Success designing APIs and user experiences for AI features

Why Fire AI (The Real Talk)

• Build Production AI Agents:

   Your LLM systems power  causal analysis, forecasting (94% accuracy), text-to-SQL (98% accuracy)

  —enterprises rely on your agents for million-dollar decisions

• Work on Cutting-Edge AI:

   Develop  multi-agentic systems, advanced RAG, conversational analytics in 90+ languages

  —interesting AI engineering beyond typical chatbots

• Move at Warp Speed:

    $28.3K to $512.9K MRR in 7 months

  —your AI features fuel  $300M+ revenue trajectory

   and  aggressive global expansion

• Lead Technical Excellence:

   Mentor AI engineers, shape platform architecture, establish production standards supporting  zero churn

   performance

• Get Rewarded:

   Competitive compensation + significant equity + clear path to AI Architect → Director of AI Engineering

What Winning Looks Like

Month 3:

 S…