About Us
Neuron7.ai is a fast-growing AI-first SaaS company building category-defining Service Resolution Intelligence platforms for global enterprises. Our AI-powered solutions help organizations solve complex operational challenges faster through LLMs, Agentic AI, and intelligent automation.
At Neuron7.ai, we work on real-world enterprise AI problems — not prototypes or toy projects.
Why Join Us
- Build production-grade LLM, RAG, and Agentic AI systems
- Work directly with enterprise customers solving complex challenges
- Ship code fast and see your work create real customer impact
- Collaborate with global teams and AI leaders
- Own problems end-to-end — from onboarding to production deployment
About the Role
We’re hiring Senior AI Solutions Engineers to build and deploy AI-powered solutions for enterprise customers.
This is a customer-facing engineering role, combining Python development, AI implementation, LLMs, RAG pipelines, integrations, and scalable deployments.
You won’t just support customers — you’ll build, optimize, and deploy AI systems in production.
What You'll Do
- Build and deploy AI solutions using Python, LLMs, and Agentic AI
- Implement and optimize RAG pipelines and AI workflows
- Design integrations and custom tools for enterprise customers
- Improve performance, reduce latency, and optimize AI systems
- Build streaming pipelines and scalable architectures
- Configure AI agents and troubleshoot production issues
- Work closely with customers to solve real-world operational problems
- Contribute directly to the core platform and product improvements
Required Skills
- 4+ years of hands-on Python experience (FastAPI preferred)
- Experience with LLMs, LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks
- Understanding of RAG pipelines, prompt engineering, and AI agents
- Experience with APIs, distributed systems, and cloud platforms (AWS/Azure)
- Strong debugging and problem-solving skills
- Customer-facing experience with implementations or solutions engineering is a plus
- Familiarity with databases (PostgreSQL, Elasticsearch, Vector DBs)
Nice to Have
- Experience with Agentic AI systems
- Exposure to streaming systems (Kafka, Kinesis)
- Knowledge of RAG optimization and vector databases
- Experience with ServiceNow, Salesforce, or enterprise integrations
What Great Looks Like
We’re looking for engineers who:
- Take ownership end-to-end
- Love solving ambiguous problems
- Build AI systems beyond demos into production
- Think deeply about performance, scalability, and customer impact
Perks & Benefits
- Competitive salary + equity + performance bonuses
- Comprehensive health insurance
- Flexible hybrid work environment
- Opportunity to work on cutting-edge AI with global customers
If you’re passionate about building real-world AI systems that solve complex enterprise challenges, we’d love to hear from you.