

Join us to reimagine how businesses integrate data and automate processes – with AI at the core.
About FloData
FloData is re-imagining the iPaaS and Business Process Automation (BPA) space for a new era - one where business teams, not just IT, can integrate data, run automations, and solve ops bottlenecks using intuitive, AI-driven interfaces. We're a small, hands-on team with a deep technical foundation and strong industry connections. Backed by real-world learnings from our earlier platform version, we're now going all-in on building a generative AI-first experience.
The Opportunity
We’re looking for an GenAI Engineer to help build the intelligence layer of our new platform. From designing LLM-powered orchestration flows with LangGraph to building frameworks for evaluation and monitoring with LangSmith, you’ll shape how AI powers real-world enterprise workflows.
If you thrive on working at the frontier of LLM systems engineering, enjoy scaling prototypes into production-grade systems, and want to make AI reliable, explainable, and enterprise-ready - this is your chance to define a category-defining product.
What You'll Do
- Spend ~70% of your time architecting, prototyping, and productionizing AI systems (LLM orchestration, agents, evaluation, observability)
- Develop AI frameworks: orchestration (LangGraph), evaluation/monitoring (LangSmith), vector/graph DBs, and other GenAI infra
- Work with product engineers to seamlessly integrate AI services into frontend and backend workflows
- Build systems for AI evaluation, monitoring, and reliability to ensure trustworthy performance at scale
- Translate product needs into AI-first solutions, balancing rapid prototyping with enterprise-grade robustness
- Stay ahead of the curve by exploring emerging GenAI frameworks, tools, and research for practical application
Must Have
- 3–5 years of engineering experience, with at least 1-2 years in GenAI systems
- Hands-on experience with LangGraph, LangSmith, LangChain, or similar frameworks for orchestration/evaluation
- Deep understanding of LLM workflows: prompt engineering, fine-tuning, RAG, evaluation, monitoring, and observability
- A strong product mindset—comfortable bridging research-level concepts with production-ready business use cases
- Startup mindset: resourceful, pragmatic, and outcome-driven
Good To Have
- Experience integrating AI pipelines with enterprise applications and hybrid infra setups (AWS, on-prem, VPCs)
- Experience building AI-native user experiences (assistants, copilots, intelligent automation flows)
- Familiarity with enterprise SaaS/IT ecosystems (Salesforce, Oracle ERP, Netsuite, etc.)
Why Join Us
- Own the AI backbone of a generational product at the intersection of AI, automation, and enterprise data
- Work closely with founders and leadership with no layers of bureaucracy
- End-to-end ownership of AI systems you design and ship
- Be a thought partner in setting AI-first principles for both tech and culture
- Onsite in Hyderabad, with flexibility when needed
Sounds like you?
We'd love to talk. Apply now or reach out directly to explore this opportunity.

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