Neuron722d ago

Senior AI Solutions Engineer | 3-6 Years | Bengaluru

India·BangaloreFull Timesenior

OtherSoftware EngineerAi Solutions EngineerSoftware Engineering

2 views0 saves0 applied

Apply Now

Quick Summary

Key Responsibilities

1.Customer Onboarding & Platform Configuration Provision multi-tenant environments: tenant creation, log file type registration, product family configuration, severity thresholds, and API key management.

Technical Tools

angularawsazuredatadogdockerelasticsearchfastapigrafanajirakafkalangchainopenaipostgresqlprometheuspythonredissalesforceslacktypescriptdatabase-designdistributed-systemsmentoringrest-apissaastechnical-writing

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.

What We Offer

~1 min read

✓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

✓Competitive salary + equity + performance bonuses

✓Comprehensive health insurance

✓Flexible hybrid work environment

✓Opportunity to work on cutting-edge AI with global customers

About the Role

~1 min read

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

~1 min read

→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

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

~1 min read

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

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

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.