3+ Graph Databases Jobs in India

What are we looking for

We are looking for an experienced and exceptional Senior AI/ML Engineer to join our growing team. In this role, you will be involved in the design, development, and optimization of AI and Machine Learning solutions that deliver exceptional user experiences. The ideal candidate will combine strong software engineering skills with deep knowledge of machine learning systems. 

Responsibilities

As part of this role you will:

• Design and implement advanced AI/ML systems with a focus on LLMs, embeddings, and retrieval-augmented generation (RAG) architectures.
• Develop and optimize information retrieval solutions including vector databases, semantic search, and knowledge graph implementations.
• Build production-grade AI pipelines for data processing, model training, fine-tuning, and serving at scale.
• Create and maintain graph-based knowledge systems that enhance LLM capabilities through structured relationship data.
• Implement and optimize hybrid RAG architectures combining traditional search, vector embeddings, and knowledge graphs.
• Lead technical initiatives for AI system integration into existing products and services.
• Collaborate with data scientists and ML researchers to implement and productionize new AI approaches and models.

Qualifications / Experience / Technical Skills

• Bachelor's degree in Computer Science or a related field, or equivalent practical experience.
• 5+ years in backend software development using modern programming languages (e.g., Python (strongly preferred!), Golang or Java). 
• Demonstrated experience building production systems with LLMs (OpenAI, Anthropic, open-source models) including prompt engineering and fine-tuning.
• In-depth knowledge of vector databases and embedding models for semantic search and retrieval.
• Experience implementing RAG architectures with various retrieval strategies (sparse, dense, hybrid) and context optimization techniques.
• Proficiency with knowledge graph technologies (Neo4j, Neptune, or similar) and graph-based information retrieval.
• Strong background in information retrieval systems including BM25, TF-IDF, and modern neural search approaches.
• Experience with AI/ML infrastructure including containerization, orchestration, and scaling of model inference.
• Expertise in cloud platforms' AI offerings (AWS Bedrock, Azure OpenAI, Vertex AI) and their integration patterns.
• Familiarity with model optimization techniques including quantization, distillation, and efficient serving strategies.
• Experience with streaming data processing for real-time AI applications using technologies like Kafka, Kinesis, or similar.
• Proficiency with AI observability and evaluation tools for tracking model performance, drift, and quality.
• Demonstrated ability to balance technical innovation with production reliability when implementing cutting-edge AI systems.

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