3+ Graph Databases Jobs in India

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.

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

B.Tech with 2-7 years of experience

Must Have

Hands-on exposure to Graph Databases like Neo4J, Janus etc..

1. Hands-on exposure to programming and scripting language like Python and PySpark
2. Knowledge of working on cloud platforms like GCP, AWS etc.
3. Knowledge of Graph Query languages like CQL, Gremlin etc.
4. 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