About Tekion :

Tekion is looking for talented Staff Software Engineers who want to be part of building next-gen AI-native business applications on the cloud. You will use your passion and expertise for creating world-class AI platform products. You should excel in working with large-scale applications and frameworks and have outstanding communication and leadership skills.

Key Responsibilities:

Lead the technical vision and architecture for Tekion's AI Native Platform the foundational layer powering AI capabilities across all Tekion products

Architect and build Tekion's AI gateway a highly available, multi-provider LLM abstraction layer Lead the design of Tekion's MCP (Model Context Protocol) ecosystem

Design and implement agentic AI frameworks

Drive AI platform reliability and observability

Provide technical mentorship and set engineering standards for the AI Native Platform team

Take end-to-end ownership of platform architecture decisions and be responsible for their success in production Collaborate with product, AI/ML research, and domain engineering teams to define the AI platform roadmap

Deliver with quality, on time, in a fast-paced start-up environment

Skills & Qualifications :

- Bachelor/Master's in Computer Science or relevant fields
- 9+ years of relevant software engineering experience
- Solid sense of ownership and technical leadership
- Excellent Java and object-oriented development skills




- Deep experience in building and scaling microservices
- Strong problem-solving skills, technical troubleshooting, and diagnosing
- Expected to be a role model for engineers, enforce high code quality, and drive engineering excellence within the team
- Experience in developing backends for enterprise systems (eCommerce / manufacturing / supply chain, etc.)
- Excellent understanding of debugging, performance, and optimization techniques
- Experience with Java, MongoDB, MySQL, AWS technologies, ELK stack, Spring Boot, Kafka
- Deep experience in cloud technologies and large-scale distributed systems
- Deep expertise in LLM systems model selection and evaluation, token economics at scale, context window optimization
- Strong knowledge of MCP (Model Context Protocol) and tool-use standards designing MCP ecosystems, tool schema governance, auth and trust models for MCP servers, and integration with multi-agent frameworks
- Experience designing AI gateways / LLM infrastructure
- Experience with agentic AI architectures multi-agent systems, planning/reasoning frameworks (ReAct, Plan-and-Execute), tool orchestration, guardrails and safety la yers, human-in-the-loop escalation, and agent evaluation
- Proficiency in LLM observability and MLOps Experience with AI safety, governance, and responsible AI patterns
- Demonstrated ability to deliver in a fast-paced environment
- Excellent communication and leadership skills

📌 Staff Software Developer (Karnataka)
🏢 Tekion
📍 Karnataka