Neuron 7
Neuron 7

Senior AI Solutions Engineer | 3-6 Years | Bengaluru

TLDR

Build and deploy production AI solutions for enterprise customers using Python, LLMs, and RAG pipelines while optimizing performance and scalability.

Senior AI Solutions Engineer Location: Bengaluru (Hybrid) Experience: 3–6 Years   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. Our Commitment to Diversity and Inclusion:  Neuron7.ai is committed to fostering a diverse and inclusive workplace. We ensure equal employment opportunities without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital status, or any other characteristic protected by law. 

Benefits

Equity Compensation

equity

Flexible Work Hours

Flexible hybrid work environment

Health Insurance

Comprehensive health insurance

AI project opportunity

Opportunity to work on cutting-edge AI with global customers

Neuron7 is an AI-first SaaS company that builds innovative service intelligence solutions for global enterprises. Our platform harnesses advanced AI technologies, including Large Language Models and workflow automation, to help organizations rapidly address complex operational challenges and improve efficiency across various industries such as high-tech, manufacturing, and telecommunications.

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