

FloData
https://flodata.ioJobs at FloData
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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.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
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 connects. 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 a Full-Stack Tech Lead who can drive the development of our new platform while mentoring a small but capable team. You'll own technical delivery across the stack (Next.js, Nest.js, Spring Boot, LangGraph on AWS), influence architecture decisions, and work closely with leadership on bringing our product vision to life.
If you're excited about building AI-native experiences, love working across the stack, and thrive in a fast-paced startup environment, this is your chance to shape a category-defining product.
What You'll Do
- Spend 70% of your time designing, building, and reviewing software across frontend, backend, and AI layers
- Guide a small engineering team (30% of your time) and lead from the front
- Translate product and business needs into system designs and execution plans
- Own the delivery of features and infrastructure that can scale to enterprise-grade workloads
- Unblock the team, champion engineering best practices, and build a culture of quality
- Contribute to architectural decisions and introduce new technologies as needed (e. g., queuing, observability, etc. )
- Be a mentor, collaborator, and the go-to person for complex technical decisions
- Advocate and implement AI-first principles in every layer of the product
You Might Be a Fit If You Have
- 6-8 years of experience building and scaling full-stack applications
- Proven track record in early-stage B2B SaaS or platform engineering teams
- Strong command over modern web stacks - ideally Next.js, Nest.js, and Spring Boot
- Comfort working with AWS and hybrid/on-premise infra setups
- Experience or deep interest in building AI-powered user experiences (LangGraph, LLMs, etc.)
- A strong sense of ownership, product thinking, and attention to detail
- Startup mindset: resourceful, fast-moving, and outcome-focused
- Experience with enterprise IT SAAS software (Salesforce, Oracle ERP, Netsuite, etc) is a plus
Why Join Us
- Build a generational product at the intersection of AI, automation, and data
- Work closely with founders and leadership with no layers of bureaucracy
- Have end-to-end ownership of what you ship
- Help shape the culture and tech foundations of a new, ambitious company
- 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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