Senior AI Solutions Engineer | 3-6 Years | Bengaluru
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Job Summary
Senior AI Solutions Engineer
Location: Bengaluru (Hybrid)
Experience: 36 Years
About Us
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 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
Were 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 wont just support customers youll build optimize and deploy AI systems in production.
What Youll 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
Were 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 youre passionate about building real-world AI systems that solve complex enterprise challenges wed love to hear from you.
Our Commitment to Diversity and Inclusion:
Required Experience:
Senior IC
About Company
Resolve issues faster, the first time, in complex service environments with Service AI Solutions that learn from your data and people to deliver accurate, turn-by-turn guidance.
