GenAI Designer

If digital transformation, next-generation technology, and growth opportunities excite you, then join our Netcracker Technology team!  Our culture and collaborative work environment are the keys to our success.  Here you will work with the best in class global teams, earn a competitive salary and contribute to the largest digital transformations around the world. 
What’s in it for you?
At Netcracker, we are all entrepreneurs. This means we get creative when thinking of technical solutions, we explore possibilities and innovations and get excited about new technology.  We take complete ownership of our roles and aren’t micromanaged or left feeling like just another number. The results we achieve are highly visible to our leadership team, and we are recognized for our work and promoted accordingly.

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.

Role & 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

Experience & Requirements:

• 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 design 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 related field

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