Staff Software Engineer

Location: Bangalore

Role: Staff Software Engineer(8-12 Years)

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
• 8+ years of relevant software engineering experience
• Strong 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 layers, 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