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Ai Engineering Managers

Techjays Verified employer

Actively hiring · Posted today · JEV2610A6D7B2866A

SalarySalary not disclosed
Experience10–15 yrs
LocationCoimbatore, Tamil Nadu
Work modeOffice · Full time
Openings1

Job description

About TechjaysAt Techjays, we build production-grade AI platforms for global clients. We operate at the intersection of backend engineering, distributed systems, and applied AI — delivering secure, scalable, and enterprise-ready intelligent systems. Our team has built and scaled products at Google, Akamai, NetApp, ADP, Cognizant, and Capgemini.About the RoleThis is not a feature-delivery role. We are looking for an AI Lead who can architect, own, and scale intelligent backend systems end-to-end. You will drive both technical direction and execution — working across LLM integrations, RAG pipelines, agentic AI workflows, and cloud-native backend systems for global clients.What You'll DoArchitect and scale backend systems powering AI-driven applicationsDesign and implement RAG pipelines, AI agents, and LLM integrationsOwn systems end-to-end — from architecture to deployment and scalingIntegrate and optimize LLMs (Claude, GPT, Gemini) for real-world production use casesBuild high-performance distributed systems with observability and cost efficiencyLead backend and AI initiatives with strong technical ownershipMentor engineers and raise the technical bar across teamsCollaborate with product and AI teams to deliver AI-native solutionsWhat We're Looking For6–10 years of strong backend engineering experienceHands-on expertise in Python (FastAPI / Django / Flask)Deep understanding of Generative AI and LLM-based systemsStrong experience with RAG pipelines and Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate)Solid knowledge of Agentic AI — building autonomous agents and multi-agent workflowsProficiency in AWS or GCP in production environmentsExperience with distributed systems, microservices, and system designStrong grasp of Data Structures, Algorithms, and Design PatternsFamiliarity with WebSockets, Git, Linux/Unix, and CI/CDNice to HaveExperience with Anthropic Claude API and Claude CodeFamiliarity with real-time data systems or streaming (Kafka, etc.)MLOps and AI system lifecycle experienceOptimizing AI systems for latency, cost, and scalabilityWho You AreYou think in systems, not just featuresYou take full ownership of what you buildYou are comfortable navigating fast-moving, ambiguous environmentsYou stay updated with the latest in Generative AI and backend technologiesStrong communicator who can collaborate across teams and global clientsWhat We OfferCompetitive compensation (Best in Industry)Work on production-grade AI systems used by global clientsExposure to cutting-edge AI tools and frameworksA culture that values clarity, integrity, and continuous growth

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