Senior GenAI Solutions Engineer

3 days ago

Bengaluru, India Konecta Full time

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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