01Responsibilities
Architecture & Technical LeadershipDesign and architect scalable backend platforms using Python and FastAPIDefine technical standards, architecture patterns, and best practices for backend and AI systemsLead the development of high-performance microservices and API ecosystemsAI Solution DevelopmentArchitect and deliver end-to-end AI applications using Generative AI and Agentic AI frameworksDesign AI-driven workflows, autonomous agents, and intelligent automation systemsIntegrate LLMs, AI models, and vector-based retrieval systems into enterprise applicationsData & Platform EngineeringDesign and optimize data architectures leveraging SQL databases and Databricks (Genie & NLQ)Build scalable data processing pipelines and AI-ready data platformsEnsure high-performance data retrieval, processing, and analytics integrationCloud & Infrastructure StrategyLead deployment and infrastructure strategies across Azure or AWS environmentsArchitect cloud-native solutions, containerized deployments, and scalable infrastructureEnsure systems meet enterprise-grade security, reliability, and scalability requirementsTechnical MentorshipProvide technical leadership and mentorship to engineering teamsConduct architecture reviews and code quality assessmentsGuide teams in adopting emerging AI technologies and engineering best practicesCross-functional CollaborationCollaborate with data scientists, product leaders, and business stakeholders to define AI-driven solutionsTranslate complex business problems into scalable technical architecturesDrive innovation through AI experimentation and rapid prototyping
02Requirements
Bachelors or Masters degree in Computer Science, Engineering, or related field12+ years of experience in software engineering, including backend and AI-based application developmentProgramming & Backend ArchitectureExpert-level proficiency in PythonStrong experience with FastAPI or modern Python backend frameworksDeep understanding of API architecture, microservices, and distributed systemsDatabase & Data PlatformsAdvanced expertise in SQLExperience with Databricks (Genie & NLQ)Strong knowledge of RDBMS systems (PostgreSQL, MySQL, SQL Server, etc.)Cloud & InfrastructureExtensive experience with cloud platforms such as Azure or AWSKnowledge of cloud-native architecture and scalable deploymentsArtificial IntelligenceProven experience building end-to-end applications using Generative AI or Agentic AIStrong understanding of LLM integrations, AI orchestration frameworks, and intelligent automationDesirable:
Front End : React +tailwindAWS Bedrock and AgentcoreExperience with LangChain, LlamaIndex, or similar LLM orchestration frameworksKnowledge of vector databases and retrieval-augmented generation (RAG)Experience with Docker, Kubernetes, and CI/CD pipelinesExposure to MLOps and AI model deployment pipelinesWhat`s in it for you
Strong community: Work alongside top professionals in a friendly, open-door environmentGrowth focus: Take on large-scale projects with a global impact and expand your expertiseTailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certificationsEndless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologiesCare: Weve got you covered with company-paid medical insurance, mental health support, and financial & legal consultationsAbout us:
At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, youll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress.
India is a strategic innovation hub for Ciklum, with growing teams in Chennai and Pune leading advancements in EdgeTech, AR/VR, IoT, and beyond. Join us to collaborate on game-changing solutions and take your career to the next .
