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操作画面は日本語です。企業が掲載した求人の職種名や説明文は原文のまま表示され、英語の場合があります。

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Sr. AWS Developer, Products

NeuraFlash

リモート勤務

勤務地
Remote (India)
勤務時間
Full Time
掲載日
2026年10月12日

応募する前に、企業のウェブサイトで現在も募集中かどうかと詳しい条件を確認してください。

仕事内容

操作画面は日本語です。企業が掲載した求人の職種名や説明文は原文のまま表示され、英語の場合があります。

Why NeuraFlash, Part of Accenture: At NeuraFlash, Part of Accenture, we are redefining the future of business through the power of AI and groundbreaking technologies like Agentforce. As a trusted leader in AI, AWS, and Salesforce innovation, we craft intelligent solutions—integrating Salesforce Einstein, Service Cloud Voice, Amazon Connect, Agentforce and more—to revolutionize workflows, elevate customer experiences, and deliver tangible results. From conversational AI to predictive analytics, we empower organizations to stay ahead in an ever-evolving digital landscape with cutting-edge, tailored strategies. We are proud to be creating the future of generative AI and AI agents. Salesforce has launched Agentforce, and NeuraFlash, Part of Accenture, was selected as the only partner for the private beta prior to launch. Post-launch, we’ve earned the distinction of being Salesforce’s #1 partner for Agentforce, reinforcing our role as pioneers in this transformative space. Be part of the NeuraFlash, Part of Accenture journey and help shape the next wave of AI-powered transformation. Here, you’ll collaborate with trailblazing experts who are passionate about pushing boundaries and leveraging technologies like Agentforce to create impactful customer outcomes. Whether you're developing advanced AI-powered bots, streamlining business operations, or building solutions using the latest generative AI technologies, your work will drive innovation at scale. If you’re ready to make your mark in the AI space, NeuraFlash, Part of Accenture is the place for you. The Sr. AWS Developer — Products builds the AI backbone of Pulse, NeuraFlash's AI agent monitoring, insights & evaluation platform, and NeuraFlash Desktop for Amazon Connect, our contact center product suite. This is an AI product engineering role with contact center DNA: you ship the LLM pipelines, agentic services, and MCP surfaces that let customers monitor, evaluate, and improve their AI agents grounded in real contact center conversations flowing out of Amazon Connect. The ideal candidate pairs strong Amazon Bedrock ecosystem experience with hands-on Amazon Connect knowledge, is proficient in Python or TypeScript/Node.js, and treats security, scalability, and deployment portability as first-class requirements. If you love building GenAI products for the contact center on AWS end-to-end, we'd love to talk to you! Responsibilities: Build Pulse's AI core: conversation ingestion, topic detection, LLM-based evaluations and scoring, PII redaction, and the insights/recommendation engine Develop on Amazon Bedrock — model invocation, Agents, AgentCore (gateways, runtimes), Knowledge Bases/RAG, and Guardrails — plus third-party LLM APIs Design and build Pulse's MCP server and agentic interfaces so AI assistants and customer tooling can consume Pulse data and actions Engineer agent observability: session/trace capture, evaluation harnesses, quality scoring, and health metrics for production AI agents Build the supporting serverless backend: Lambda, API Gateway, DynamoDB, Aurora/RDS, S3, Kinesis, Step Functions Own product infrastructure as code (AWS CDK): reusable, hardened constructs that deploy cleanly into customer-owned AWS accounts Own the Amazon Connect integration layer: CTR, Contact Lens, agent event streams, Lex bots, and contact flow touchpoints that feed Pulse and power ACE features Drive security posture: Cognito/OIDC auth, IAM least privilege, encryption everywhere, SAST/DAST/CSPM remediation, third-party security assessments Lead code reviews, mentor developers, and take technical ownership of product epics with minimal direction Required Skills: Minimum 5+ Years of experience Strong hands-on programming in Python and/or TypeScript/Node.js Hands-on GenAI/LLM application engineering: prompt design, RAG, structured outputs, LLM-as-judge evaluation, guardrails, token/cost optimization Experience with Amazon Bedrock (or equivalent LLM platforms) in production workloads Deep experience with AWS serverless architecture (Lambda, API Gateway, DynamoDB, S3, EventBridge/Kinesis) Experience with AWS CDK or CloudFormation and CI/CD pipelines Amazon Connect experience (contact flows, Lex, CTR/Contact Lens data streams) AWS Developer / Solutions Architect certification (Associate or Professional) Experience building AI agents using Amazon Connect, Lex, and Bedrock (voice/chat self-service, agent assist) Experience building and operating REST APIs and event-driven integrations across multiple systems Security-minded development: IAM, Cognito, KMS encryption, VPC/network design, secure SDLC Nice to haves: MCP server development or agentic frameworks (Bedrock AgentCore, LangGraph, Strands, CrewAI, etc.) AI agent evaluation/observability experience (evals, tracing, scoring pipelines) Experience shipping multi-tenant SaaS or products deployed into customer cloud accounts Contact center platform breadth (WFM, voice protocols like WebRTC/SIP, or other CCaaS platforms) Salesforce platform/API familiarity (Service Cloud, Data Cloud, Agentforce) AWS AI Practitioner or Machine Learning Specialty certification Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. What’s it like to be a part of NeuraFlash, Part of Accenture? Remote & In-Person: Whether you work out of our HQ in Massachusetts, one of our regional hubs, or you're one of over half of our NeuraFlash, Part of Accenture Family who work remotely, we’re focused on keeping everyone connected and unified as one team. Travel: Get ready to pack your bags and hit the road! For certain roles, travel is an exciting part of the job, with an anticipated travel commitment of up to 25%. So, if you have a passion for adventure and don't mind a little jet-setting, this opportunity could be your ticket to exploring new places while making a positive impact on clients. Flexibility: Do you have to take the dog to the vet, pick up the kids from school, or the in-laws from the airport? We know that a perfect 9-5 isn’t possible. So you have to jump out to do any of those, no problem! We build a culture of trust and understanding. We value good work not the hours in which you get it done Collaboration: You have a voice here! If you work with a team of smart people like we do, it’s a no-brainer to take suggestions and feedback on how to keep NeuraFlash, Part of Accenture thriving. Our executive team holds town halls & company meetings where they address any suggestions or questions asked, no matter how big or small. Celebrate Often: We take our work seriously, but we don’t take ourselves too seriously. Whether it is an arm wrestling contest, costume party, or ugly holiday sweaters our teams love to have fun. And while we work hard, we don’t forget to slow down and celebrate the big things and the small things together. Originally posted on Himalayas

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必須条件と歓迎条件を分けて確認し、勤務時間、報酬、勤務地が掲載されている場合は目を通しましょう。リモート勤務でも、居住国、就労資格、勤務時間帯が指定されることがあります。現在の募集状況と詳しい条件は企業に確認してください。

募集要件に関連する実際の経験を選び、自分の役割と貢献を説明しましょう。数値は根拠がある場合にのみ使ってください。企業の応募方法に従い、送信前に連絡先、内容、PDFの表示を確認しましょう。

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仕事探しに関するよくある質問

英語の求人が表示されるのはなぜですか?

職種名や説明文は企業が作成したものです。条件や要件を変えないように原文を掲載しています。操作画面とこのガイドは日本語です。日本語の検索で見つからない場合は、「software engineer」のように、掲載言語の職種名やスキル名でも検索してみてください。検索語が自動翻訳されるわけではありません。

リモート求人なら、どの国からでも働けますか?

必ずしもそうではありません。居住国、就労資格、勤務時間帯が指定されている場合があります。元の求人ページで条件を確認してください。記載がない場合は、自分の居住地から応募できると判断する前に企業へ確認しましょう。リモートという表示だけでは、勤務地の制限がないことは分かりません。

検索結果が出ない場合はどうすればよいですか?

より一般的な職種名や一つのスキルで検索し、条件を一つずつ外してみてください。同じような仕事でも企業によって呼び方が異なります。特定の求人が見つからなくなった場合は、企業の採用ページで求人番号を探しましょう。検索条件を広げても、終了した募集が再開するわけではありません。

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応募書類とカバーレターはどう調整すればよいですか?

募集要件と、自分が説明できるプロジェクト、業務、成果を結び付けます。経験していない技術や実績を加えず、関連する経験を分かりやすく示してください。カバーレターでは応募理由を具体例とともに伝えます。指定された言語とファイル形式に従い、送信前に両方の書類を確認しましょう。