
Senior GenAI Solutions Engineer
1 day ago
We’re looking for a Senior GenAI Solutions Engineer to design, develop, and deploy advanced Generative AI and Agentic AI solutions for Konecta Digital. In this role, you’ll work on enterprise-scale use cases and industry solutions, building production-grade pilots and prototypes that meet the highest standards of security, scalability, and compliance.
This is a hands-on engineering role for experienced professionals with a strong background in software engineering, AI/ML, and GenAI deployments. You’ll be expected to contribute from day one, leveraging your coding expertise and ability to independently deliver impactful AI solutions.
What You’ll Do
- Build & Deploy GenAI Solutions
- Design assistants, automation flows, and agent pipelines (RAG/agentic).
- Write production-quality Python code aligned with best practices and reusable standards.
- Deliver PoCs and pilots to validate use cases before scaling.
Requirements Gathering & Design
- Autonomously analyze stakeholder requirements for AI/agentic use cases.
- Assess single-agent vs multi-agent architectures.
- Connect GenAI solutions with enterprise systems & APIs (ERP, HRS, Finance, databases).
Agentic & AI Frameworks
- Implement solutions using AutoGen, CrewAI, LangGraph, SmolAgents, etc.
- Leverage ML/AI frameworks (PyTorch, TensorFlow, Hugging Face, LangChain/LangGraph).
Security & Compliance
- Ensure security by design: secure coding, access controls, and data protection.
- Deliver in line with Konecta InfoSec, GDPR, EU AI Act, DORA compliance standards.
Collaboration & Knowledge
- Sharing Document solutions, create demo assets, and contribute to accelerators for reuse.
- Keep updated with the latest GenAI, MCP, and agentic frameworks.
- Collaborate globally with teams and stakeholders in agile environments.
What We’re Looking For
- Experience: 6–10 years in software engineering & ML/AI, with 2+ years hands-on in Generative AI (RAG/agentic deployments).
- Track Record: Proven delivery of DIY pilots, PoCs, or production-grade AI solutions.
- Coding Expertise: Expert Python coder with strong ML/AI frameworks knowledge.
- Cloud & APIs: Skilled in API integration and cloud-native deployment (Azure, GCP, AWS).
- Engineering Rigor: CI/CD, Git, testing, documentation, secure coding.
- Languages: Fluent English (spoken and written).
- Mindset: Self-driven, delivery-oriented, thrives in fast-paced global environments.
Bonus Skills
- Experience with AI coding platforms (GitHub Copilot, Claude Code, Cursor).
- Understanding of AI security risks (prompt injection, data exfiltration, access control).
- Ability to autonomously design agentic solutions and evaluate frameworks.
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