GenAI Designer

We’re building the future of how the world communicates.

Netcracker, part of NEC Corporation, combines deep telecom industry expertise with cutting-edge cloud-native and AI-powered innovations to enable communications service providers and enterprises to transform their businesses, unlock innovation, and create meaningful digital experiences for millions of people around the world. With more than 30 years of experience serving over 250 customers in more than 70 locations worldwide, we are the global market leader in telecom software and services.

Join us and be part of a team that is not just keeping up with the digital future but is leading the way.

Position Summary

We are seeking a passionate Jr. GenAI Integrator / Designer with strong foundational skills in and hands-on understanding of Generative AI, Agentic AI, AI automation workflows, integration design and Python. In this role, you will support the design, configuration, and deployment of GenAI-powered solutions, including agent workflows, AI-driven automations, and end-to-end integration flows. You will collaborate with engineering and product teams to prototype, build, and implement AI capabilities into enterprise applications, particularly within BSS/CRM domains.

Responsibilities

• Assist in designing, building, and integrating GenAI, Agentic AI, and automation workflows for enterprise use cases
• Contribute to the development of GenAI-based applications (text, conversational, multimodal, and automation tasks)
• Design and implement AI agent workflows, including tool integration, MCP integration, and multi-agent systems coordination
• Design, test, and optimize prompts, system messages, and tool-calling schemas for different model types and modalities
• Support creation of RAG pipelines, AI orchestration flows, and model integration patterns
• Work with Python to script integrations, automation tasks, and backend logic for AI-driven features
• Integrate AI systems with backend APIs, databases, and enterprise platforms
• Participate in building vector search and knowledge retrieval flows including text parsing, chunking strategies, and applying different retrieval approaches (semantic, hybrid, metadata/filters). PGVector, OpenSearch exposure is a plus
• Collaborate with product, backend, and solution teams to convert business problems into AI-driven solutions
• Prepare documentation for workflows, API integrations, data flows, and design decisions
• Assist with testing, validating, and optimizing agentic workflows and automation pipelines

Skills and Experience 

• Experience working with Python and JavaScript/TypeScript to script integrations, automate tasks, and implement backend logic for AI-driven features
• Good understanding of Generative AI models, agent frameworks, orchestration tools, and RAG concepts
• Hands-on experience integrating and calling LLMs from one or multiple providers (e.g., OpenAI, Anthropic, Google Gemini, Azure OpenAI) or open-source models (e.g., LLaMA, Mistral) via REST APIs and official SDKs
• Demonstrated experience in prompt engineering for different model types
• Experience in designing microservices, REST APIs and integrating MCP Tools
• Experience with popular agentic AI frameworks (primarily LangChain and LangGraph) or low-code/no-code AI and workflow automation platforms (e.g., n8n, Langflow, Dify, Flowise, or similar).
• Familiarity with vector databases (PGVector, OpenSearch, or similar) is an advantage

Education:  

• Bachelor’s degree in a related field

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