๐ง๐ต๐ถ๐ ๐ฟ๐ผ๐น๐ฒ ๐ถ๐ ๐ณ๐ผ๐ฟ ๐ผ๐ป๐ฒ ๐ผ๐ณ ๐๐ต๐ฒ ๐ช๐ฒ๐ฒ๐ธ๐ฑ๐ฎ๐'๐ ๐ฐ๐น๐ถ๐ฒ๐ป๐๐
๐ฆ๐ฎ๐น๐ฎ๐ฟ๐ ๐ฟ๐ฎ๐ป๐ด๐ฒ: ๐ฅ๐ ๐ฎ๐ฑ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ - ๐ฅ๐ ๐ฏ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ (๐ถ๐ฒ ๐๐ก๐ฅ ๐ฎ๐ฑ-๐ฏ๐ฌ ๐๐ฃ๐)
Experience: 4+ yrs
Location: Bengaluru
As a Applied AI Engineer, you will spearhead the design, development, and deployment of intelligent solutions that integrate stateโofโtheโart machine learning models with enterprise software. Your role will involve bridging the gap between AI research and productionโgrade Java and Python services, ensuring high performance, scalability, and maintainability across cloud and onโpremise environments. You will collaborate closely with product managers, data scientists, and DevOps teams to transform complex business requirements into robust AI pipelines, leveraging Spring AI and LangChain ecosystems. By innovating with LangGraph for graphโbased reasoning, you will enable richer context handling and dynamic decisionโmaking in our applications while maintaining rigorous testing and API governance. Your contributions will directly impact customer experience and operational efficiency, driving measurable ROI for our digital transformation initiatives.
Requirements
๐๐ฒ๐ ๐ฅ๐ฒ๐๐ฝ๐ผ๐ป๐๐ถ๐ฏ๐ถ๐น๐ถ๐๐ถ๐ฒ๐
โขDesign and implement modular AI components using Spring AI, ensuring seamless integration with existing microservices.
โขBuild and maintain conversational AI pipelines with LangChain, customizing agents for specific domain tasks.
โขDevelop graphโbased reasoning workflows in LangGraph to support complex relational data queries.
โขWrite clean, efficient Java and Python code, adhering to coding standards and promoting reusability.
โขExpose AI functionalities via wellโdocumented RESTful and gRPC APIs for internal and external consumption.
โขConduct performance profiling, optimize models for latency and throughput, and troubleshoot production issues.
โขCollaborate with data engineers to ingest and preprocess large datasets, ensuring data quality and compliance.
โขImplement CI/CD pipelines for automated testing, continuous deployment, and version control of AI services.
โขMentor junior engineers and contribute to knowledge sharing sessions on AI best practices and emerging technologies.
โขStay abreast of industry trends in AI, ML frameworks, and cloud services, proposing innovative solutions to enhance product capabilities.
๐ช๐ต๐ฎ๐ ๐ ๐ฎ๐ธ๐ฒ๐ ๐ฌ๐ผ๐ ๐ฎ ๐๐ฟ๐ฒ๐ฎ๐ ๐๐ถ๐
โข4+ years of professional experience in AI/ML engineering with a strong background in Java and Python.
โขHandsโon expertise in Spring AI, LangGraph, and LangChain, including deployment in production environments.
โขProven ability to design and develop highโperformance APIs that expose complex AI logic.
โขSolid understanding of data pipelines, ETL processes, and experience working with large, heterogeneous datasets.
โขFamiliarity with cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes, Docker).
โขExperience with CI/CD workflows, testโdriven development, and automated monitoring of AI services.
โขStrong problemโsolving skills and a passion for translating business challenges into elegant technological solutions.
โขExcellent communication skills, able to articulate technical concepts to nonโtechnical stakeholders.
โขDemonstrated teamwork in crossโfunctional agile environments, contributing to iterative product releases.
โขContinuous learning mindset, actively participating in conferences, workshops, or contributing to openโsource AI projects.