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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.

Role Overview
We are looking for a Tech Lead with a strong background in fintech, especially with experience or a strong interest in fraud prevention and Anti-Money Laundering (AML) technologies.
This role is critical in leading our fintech product development, ensuring the integration of robust security measures, and guiding our team in Hyderabad towards delivering high-quality, secure, and compliant software solutions.
Responsibilities
- Lead the development of fintech solutions, focusing on fraud prevention and AML, using Typescript, ReactJs, Python, and SQL databases.
- Architect and deploy secure, scalable applications on AWS or Azure, adhering to the best practices in financial security and data protection.
- Design and manage databases with an emphasis on security, integrity, and performance, ensuring compliance with fintech regulatory standards.
- Guide and mentor the development team, promoting a culture of excellence, innovation, and continuous learning in the fintech space.
- Collaborate with stakeholders across the company, including product management, design, and QA, to ensure project alignment with business goals and regulatory requirements.
- Keep abreast of the latest trends and technologies in fintech, fraud prevention, and AML, applying this knowledge to drive the company's objectives.
Requirements
- 5-7 years of experience in software development, with a focus on fintech solutions and a strong understanding of fraud prevention and AML strategies.
- Expertise in Typescript, ReactJs, and familiarity with Python.
- Proven experience with SQL databases and cloud services (AWS or Azure), with certifications in these areas being a plus.
- Demonstrated ability to design and implement secure, high-performance software architectures in the fintech domain.
- Exceptional leadership and communication skills, with the ability to inspire and lead a team towards achieving excellence.
- A bachelor's degree in Computer Science, Engineering, or a related field, with additional certifications in fintech, security, or compliance being highly regarded.
Why Join Us?
- Opportunity to be at the cutting edge of fintech innovation, particularly in fraud prevention and AML.
- Contribute to a company with ambitious goals to revolutionize software development and make a historical impact.
- Be part of a visionary team dedicated to creating a lasting legacy in the tech industry.
- Work in an environment that values innovation, leadership, and the long-term success of its employees.
Role and Responsibilities
The candidate for the role will be responsible for enabling single view for the data from multiple sources.
- Work on creating data pipelines to graph database from data lake
- Design graph database
- Write Graph Database queries for front end team to use for visualization
- Enable machine learning algorithms on graph databases
- Guide and enable junior team members
Qualifications and Education Requirements
B.Tech with 2-7 years of experience
Preferred Skills
Must Have
Hands-on exposure to Graph Databases like Neo4J, Janus etc..
- Hands-on exposure to programming and scripting language like Python and PySpark
- Knowledge of working on cloud platforms like GCP, AWS etc.
- Knowledge of Graph Query languages like CQL, Gremlin etc.
- Knowledge and experience of Machine Learning
Good to Have
- Knowledge of working on Hadoop environment
- Knowledge of graph algorithms
- Ability to work on tight deadlines