Job Description

Location: Bangalore

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Role: Staff Software Engineer(8-12 Years)

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About Tekion:

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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.

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Key Responsibilities :

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- Lead the technical vision and architecture for Tekion's AI Native Platform — the foundational layer powering AI capabilities across all Tekion products
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- 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
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- Design and implement agentic AI frameworks
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- Drive AI platform reliability and observability
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- Provide technical mentorship and set engineering standards for the AI Native Platform team
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- Take end-to-end ownership of platform architecture decisions and be responsible for their success in production
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- Collaborate with product, AI/ML research, and domain engineering teams to define the AI platform roadmap
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- Deliver with quality, on time, in a fast-paced start-up environment
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Skills & Qualifications :

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- Bachelor/Master's in Computer Science or relevant fields
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- 8+ years of relevant software engineering experience
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- Strong sense of ownership and technical leadership
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- Excellent Java and object-oriented development skills
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- Deep experience in building and scaling microservices
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- Robust problem-solving skills, technical troubleshooting, and diagnosing
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- Expected to be a role model for engineers, enforce high code quality, and drive engineering excellence within the team
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- Experience in developing backends for enterprise systems (eCommerce / manufacturing / supply chain, etc.)
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- Excellent understanding of debugging, performance, and optimization techniques
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- Experience with Java, MongoDB, MySQL, AWS technologies, ELK stack, Spring Boot, Kafka
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- Deep experience in cloud technologies and large-scale distributed systems
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- Deep expertise in LLM systems — model selection and evaluation, token economics at scale, context window optimization
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- 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
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- 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
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- Proficiency in LLM observability and MLOps Experience with AI safety, governance, and responsible AI patterns
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- Demonstrated ability to deliver in a fast-paced environment
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- Excellent communication and leadership skills
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📌 Staff Software Engineer (Bengaluru)
🏢 Tekion
📍 Bengaluru