Senior AI Solutions Engineer - 3-6 Years - Bengaluru
External
Neuron 7 · Bengaluru, IndiaPrepare for this interview
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About the role
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 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.
Responsibilities
- 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)
Requirements
- 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
Benefits
Additional Information
Senior AI Solutions Engineer Location: Bengaluru (Hybrid) Experience: 3-6 Years
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