Senior Java + Python Developer

Project Description:

We are looking for a Senior Java & Python Developer with strong expertise in Graph Databases and hands-on experience integrating custom Agentic AI solutions into enterprise-grade applications.

The ideal candidate is a seasoned engineer who thrives in complex systems, understands graph-based data modeling, and has a strong interest in applying agentic AI patterns to real-world business workflows.

You will play a key role in designing, developing, and evolving scalable backend systems while collaborating closely with architecture, data, and AI-focused teams.

Responsibilities:

• Design, develop, and maintain enterprise-grade applications using Java and Python

• Architect and implement graph-based data models and queries to support complex domain relationships

• Collaborate with ML and Semantic engineers on designing and training dedicated AI Agents for specific business processes.

• Integrate custom Agentic AI solutions (e.g., autonomous agents, multi-agent systems, tool-using agents) into existing enterprise platforms

• Collaborate with stakeholders to translate business requirements into robust technical solutions

• Optimize application performance, scalability, and reliability in production environments

• Participate in technical design discussions, code reviews, and architecture decisions

• Contribute to continuous improvement of development workflows and SDLC processes

Mandatory Skills Description:

Candidates must meet all of the following:

• Strong, in-depth Java expertise, including:

o JVM internals, concurrency, memory management

o Spring / Spring Boot or equivalent enterprise frameworks

• Professional Python experience, particularly for backend services, scripting, or AI-related integrations

• Hands-on experience with Graph Databases, such as:

o Neo4j, Amazon Neptune, JanusGraph, TigerGraph, or similar

o Graph data modeling and query languages (e.g., Cypher, Gremlin, SPARQL)

• Proven experience integrating custom Agentic AI solutions into enterprise applications, including:

o Autonomous or semi-autonomous agents

o Tool-using or workflow-oriented AI agents

o Production integration, not just experimentation or prototypes

• Solid understanding of enterprise application architecture, RESTful APIs, and system integration patterns

• Experience working with relational databases and modern persistence layers

• Strong problem-solving skills and ability to work with complex domains

Nice-to-Have Skills Description:

The following are not required, but will be considered a strong advantage:

• Experience with agentic SDLC tools and processes, such as:

o AI-assisted development workflows

o Agent-driven testing, code generation, or requirement analysis

• Familiarity with microservices architectures and distributed systems

• Experience with containerization (Docker, Kubernetes) and cloud platforms (AWS)