Staff Software Developer

Role: Senior Software Engineer / Staff- Software Engineer- BE

Key Responsibilities

• 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.
• 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
• 5+ 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