Langchain jobs

SAP China iXp Interns - AI Engineer Intern SAP China iXp Interns - AI Engineer Intern | Country China | Internal Posting Location Shanghai We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you will build Develop, test, and deploy AI-driven features for our B2B platform. Work closely with cross-functional teams, including product owners, UX designers, and engineers, to integrate AI capabilities into the project. Optimize AI solutions for real-time, production-level performance. Conduct research and stay updated on emerging AI technologies, algorithms, and frameworks to continually improve the project's AI features. Troubleshoot and resolve issues related to AI models and solutions. What you bring Proficiency in programming languages such as Python or similar. Strong analytical and problem-solving skills, able to work in a fast-paced, collaborative environment. Proficiency in programming frameworks such as LangChain or AWS strands is a strong plus Experience with Retrieval-Augmented Generation (RAG) or Agentic AI projects is a strong plus Experience with Large Language Models (LLMs) usage and prompt tuning is a plus.

Software Engineer, AI Remote - Argentina; Remote - Colombia ; Remote - Costa Rica ; Remote - Mexico About Backblaze Backblaze provides reliable, high-availability cloud storage trusted by consumers, SMBs, enterprises, and developers in over 150 countries. Backblaze B2 Cloud Storage supports data-intensive workloads including backup, media, analytics, and modern AI pipelines. Our teams focus on building durable, scalable systems with a strong emphasis on developer experience and operational efficiency. But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. We're seeking a Software Engineer, AI to join our team! What You'll Do: - Use AI-assisted development tools, including Claude Code, to accelerate implementation while validating correctness, security, and performance. - Design and build server-side APIs that authenticate users, accept and manage backups, handle large-scale data operations, and prepare restored data for customers across our global user base. - Collaborate with Product, QA, and Support teams to ensure both backend features reflect real customer workflows and usage patterns. - Build and maintain support tooling to help diagnose and resolve customer issues at scale. - Ensure all code and open source assets meet high standards for testing, documentation, reproducibility, and developer usability. Tools and Technologies - AI coding agents such as Claude Code, Cursor, Codex, and Antigravity - Languages: Python, TypeScript, Go, JavaScript, Java (and other languages common in the open source ecosystem) - Backblaze B2 SDKs and REST APIs - Open source AI frameworks and tooling (e.g. LangChain, LlamaIndex, vector

Senior Success Architect - Agentforce/Data360 Japan - Tokyo このポジションについて Success Architect は Salesforce 製品に関する技術的な専門性に加えてアーキテクチャや技術戦略についての広い知見を持ち、私たちのお客様が Salesforce 製品を最大限に活用してビジネス価値を実現していただくためにプロアクティブ・リアクティブの両面にわたりご支援を提供するロールです。Success Architect は私たちのお客様の中でも特に Signature Success Plan 契約をお持ちのお客様に対して、自分自身の持つスキルだけでなく Salesforce がグローバルに持つノウハウやベストプラクティスも駆使しながら、お客様が技術面・ビジネス面の課題を解決していくためのアドバイスを行います。 Agentforce/Data360 Senior Success Architect は、SalesforceのCore Platformにおける専門知識と、最先端のAI/Agentforce 及びData360 領域における高度な知識を兼ね備えたアーキテクトです。単なる技術支援に留まらず、お客様のAI戦略を理解し、データモデルやエージェント構築のための支援や、さらにAIエージェントの最適化や利用拡大に向けた支援により、Agentic Enterprise を目指すお客様の継続的な成功に貢献します。 責任 お客様のAI・データ戦略及びAIエージェント利用のユースケースを理解します。 お客様に Salesforce の製品とその機能を実装する際のベストプラクティスを提供します。 お客様の技術的な課題解決に向け、専門的なアドバイス（推奨事項）を提供します。 お客様がご利用の Salesforce 環境に考慮すべき運用監視についてのアドバイスを提供します。 お客様がSalesforce 製品の主要な機能変更に備えるのを支援します。 お客様がご利用の Salesforce 環境のアーキテクチャを評価するレビューボードに参加します。 Salesforce にとって戦略的な製品や機能の利用をお客様に促進します。 製品マネジメント部門から提供される製品の重要な情報をキャッチし、それをもとにお客様や Salesforce 社内の関係チームにとって有益なアセット（ベストプラクティス、ナレッジ、FAQ 等）を作成します。 必要なスキルと経験 クラウドベースのテクノロジー導入における5年以上の戦略的ソリューション策定・監督経験、および3年以上のSalesforce Core Platformに関わる実務経験。 AI/LLM技術（LangChain, LlamaIndex等のフレームワーク、プロンプトエンジニアリング）を用いた実装や運用経験。 データモデリングおよびエンタープライズ・データプラットフォーム（Snowflake, BigQuery等）に関する深い知識。 大規模かつ技術的に高度で、常に製品機能の課題を抱えているようなお客様に対応した経験 お客様の役員クラスも含めてあらゆるレベルの立場の方に対して信頼されるように効果的にコミュニケーションし、価値を示し、影響を与える能力と実績 困難でプレッシャーのかかる状況においても、複数のタスクに対して優先順位づけし効果的に実行できる能力 技術的なコンセプトを分析しそれをビジネスの言葉に置き換える能力、および技術的な機能をビジネスの要件にマッピングできる能力 相手に合わせてメッセージの抽象度・具体度を適切にコントロールしてコミュニケーションできる能力 曖昧な環境における高い問題解決能力、カスタマーフォーカス、および迅速なデリバリーへの強いこだわり 新しい技術や機能について継続的に学ぼうとする積極的な姿勢 高いモチベーションを保ち、自発的・自立的に業務を遂行する能力 部門・職位を超えて協力する姿勢・能力 言語 日本語（ネイティブレベル）/ 英語（ビジネスレベルの読み書き・会話） 望ましいスキルと経験 Salesforce 製品の認定資格 (認定アドミニストレーター、Data Cloudコンサルタント、Agentforceスペシャリストなど） Salesforce Agentforce またはData 360 プラットフォームの経験 顧客対応を行うテクニカルリードまたはアーキテクトとしての実務経験 Salesforce FlowおよびLightning Web Components（LWC）に関する広範な経験（複雑なカスタム開発を含む）。 自然言語処理（NLP）など、LLM以外のAI/MLコンセプトに関する知識。

Senior Software Development Engineer, AI Data Platform United States, US Oracle's Forward Deployed Engineer (FDE) team is hiring a Senior Software Development Engineer - AI Data Platform to help global customers unlock the full potential of their data. You will provide expert architectural guidance focused on designing, optimizing, and scaling modern AI/ML-centric data platforms. As a key member of Oracle's Analytics and AI Service Excellence organization, you will work closely with enterprise customers, product management, and engineering to ensure seamless adoption of Oracle AI Data Platform, Gen AI services, and associated cloud technologies. Key Responsibilities: Strong data engineering, HPC, and data science experience. Spark, PySpark, Delta Lake, Parquet, Feature Extraction, MLOps, Flink, with a deep understanding of the distributed systems techniques that make these services work. Full stack development experience. This includes web app development, RESTful APIs, SSE, all the way to deploying your solution. Design, implement, and maintain scalable software components and services that support AI/ML workloads. Build APIs, SDKs, and automation frameworks to streamline the adoption of Oracle AI Data Platform and Gen AI services. Optimize performance, scalability, and reliability of distributed data/AI systems. Collaborate with cross-functional teams (engineering, product, and field) to solve complex technical challenges. Participate in code reviews, testing, and CI/CD to ensure high-quality deliverables. Document technical designs and contribute to knowledge-sharing (e.g., blogs, internal docs, demos). Continuously explore new tools, frameworks, and best practices in AI, cloud, and data engineering. Primary Skills: Experience with LLMs and agentic frameworks (e.g., MCP, LangChain, CrewAI, Semantic Kernel).

Staff Enterprise AI Engineer New York, New York ABOUT THE ROLE Peloton is looking to transform our enterprise tech strategy with AI adoption. We are looking for a Staff Enterprise AI Engineer to serve as the "Founding Engineer" of our Enterprise AI Platform.This is not a traditional Data Science role. You will not spend your days tweaking hyperparameters. Instead, you will architect and build the Operating System that enables our Product, People, and Operations teams to deploy AI Agents safely and at scale. You will act as a "Player/Coach," laying the technical foundation (Infrastructure, Security, Orchestration) while guiding a team of engineers to execute the vision. You will build the "Golden Path" that helps everyone at Peloton to leverage AI securely for the competitive advantage of Peloton. YOUR DAILY IMPACT AT PELOTON - Architect the "Intelligence & Integration" Layers - Design and build a scalable Agentic Orchestration Platform (using LangChain, LangGraph, or custom frameworks) that allows internal developers to spin up autonomous agents. - Implement the "Integration Layer" ensuring all AI agents connect to internal APIs (Workday, Snowflake, SAP) via secure, standardized protocols (Model Context Protocol - MCP). - Solve the "State Problem" for AI, architecting memory stores (Vector DBs like Pinecone/Weaviate) that persist context across user sessions. - Enforce "Security by Design" - Partner with Security leadership to implement Identity Propagation. Ensure agents execute tasks using the user's specific OAuth scopes, preventing privilege escalation. - Build "Data Clean Rooms" and PII masking pipelines to ensure sensitive member or employee

Principal Software Engineer - Data Analytics Pune, IN About the Role PubMatic is seeking a Data Analytics-focused Principal Software Engineer with experience in building and optimizing AI agents, including strong skills in Hadoop, Spark, Scala, Kafka, Spark Streaming, and cloud-based solutions, with proficiency in programming languages such as Scala and Python. You will be responsible for developing advanced AI agents that enhance our data analytics capabilities, enabling our platform to handle complex information retrieval, contextual understanding, and adaptive interactions, ultimately improving our data-driven insights and analytical workflows. What You'll Do: Build, design, and implement our highly scalable, fault-tolerant big data platform to process terabytes of data and provide customers with in-depth analytics. Develop backend services using Java, REST APIs, JDBC, and AWS. Build and maintain Big Data pipelines using technologies like Spark, Hadoop, Kafka, and Snowflake. Architect and implement real-time data processing workflows and automation frameworks. Lead multiple projects to develop features for data processing and reporting platforms, and collaborate with product managers and cross-functional teams. Collaborate with functional teams to build products to deliver end-to-end products and features, and fix bugs for better performance. Design and develop GenAI-powered agents for analytics, operations, and data enrichment use cases using frameworks like LangChain, LlamaIndex, or custom orchestration systems. Integrate LLMs (e.g., OpenAI, Claude, Mistral) into existing services for query understanding, summarization, and decision support. Manage end-to-end GenAI workflows, including prompt engineering, fine-tuning, vector embeddings, and retrieval-augmented generation (RAG). Working closely with cross-functional teams on improving the availability and scalability of large

Expert AI Engineer Country India | Internal Posting Location Bangalore We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you'll build: Product Development: Design, develop, deploy, evaluate, optimize & scale (multi) agent AI solutions for real-world business challenges Architect & integrate APIs to build agent flows, LLM orchestration, & multi-agent systems using LangChain, CrewAI, AutoGen, Google-ADK Build & scale CI/CD, AgentOps pipelines for managing the E2E agent lifecycle monitoring, evaluation & continuous improvement using LLM Judge concepts and AgentOps frameworks, e.g., MLFlow 3.0, LangFuse Ensure reliability, observability and compliance of deployed AI solution Collaboration: Ensure the balance of priorities, “doing the right things”, while ensuring quality and maintainability “doing things right” Collaborate with stakeholders to identify key opportunities for autonomous agent solutions across the organization Take full responsibility for achievement of the squad's goals Adhere to the standards set by architects, security & other SMEs Support other members in the same squad Continuous Im

Senior/Software Engineer - Data Analytics Pune, IN About the Role PubMatic is seeking Data Analytics-focused Senior / Software Engineers with expertise in building and optimizing AI agents, including strong skills in Hadoop, Spark, Scala, Kafka, Spark Streaming, and cloud-based solutions, with proficiency in programming languages such as Scala and Python. You will be responsible for developing advanced AI agents that enhance our data analytics capabilities, enabling our platform to handle complex information retrieval, contextual understanding, and adaptive interactions, ultimately improving our data-driven insights and analytical workflows. What You'll Do: Build, design, and implement our highly scalable, fault-tolerant big data platform to process terabytes of data and provide customers with in-depth analytics. Develop backend services using Java, REST APIs, JDBC, and AWS. Build and maintain Big Data pipelines using technologies like Spark, Hadoop, Kafka, and Snowflake. Architect and implement real-time data processing workflows and automation frameworks. Design and develop GenAI-powered agents for analytics, operations, and data enrichment use cases using frameworks like LangChain, LlamaIndex, or custom orchestration systems. Integrate LLMs (e.g., OpenAI, Claude, Mistral) into existing services for query understanding, summarization, and decision support. Manage end-to-end GenAI workflows including prompt engineering, fine-tuning, vector embeddings, and retrieval-augmented generation (RAG). Working closely with cross-functional teams on improving the availability and scalability of large data platforms and the functionality of PubMatic software. Participate in Agile/Scrum processes such as sprint planning, sprint retrospective, backlog grooming, user story management, and work item prioritization. Frequently discuss with product managers about the software features to include in the