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Sr. AWS Developer, Products

NeuraFlash

Trabajo remoto

Ubicación
Remote (India)
Jornada
Full Time
Publicado
12 oct 2026

Confirma que la oferta sigue abierta y revisa sus condiciones en el sitio web de la empresa antes de solicitar el puesto.

Descripción del puesto

La interfaz está en español. Los títulos y las descripciones de las empresas se mantienen en el idioma original de publicación, que puede ser inglés.

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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Distingue los requisitos imprescindibles de las preferencias. Comprueba la jornada, la retribución y la ubicación cuando se indiquen. Un puesto remoto puede exigir residencia en un país, autorización para trabajar o coincidencia horaria. Confirma la oferta y las condiciones completas con la empresa.

Elige ejemplos reales de tu experiencia que respondan a los requisitos del puesto. Explica tu aportación y utiliza cifras solo cuando puedas justificarlas. Sigue las instrucciones de la empresa y revisa los datos de contacto, el contenido y el PDF antes de enviar la candidatura.

Antes de enviar tu candidatura

Preguntas sobre la búsqueda de empleo

¿Por qué algunas ofertas están en inglés?

Las empresas publican sus propios títulos y descripciones. Conservamos ese texto para no alterar requisitos o condiciones. La navegación y esta guía están en español. Si una búsqueda en español no encuentra ofertas, prueba también el título o la competencia en el idioma del anuncio, por ejemplo «software engineer».

¿Un puesto remoto permite trabajar desde cualquier país?

No necesariamente. La empresa puede limitar los países de residencia, exigir autorización para trabajar o fijar un horario. Comprueba estos puntos en la oferta original. Si no aparecen, consúltalos con la empresa antes de asumir que puedes trabajar desde tu ubicación.

¿Qué hago si no aparecen resultados?

Prueba un título más general o una sola competencia y elimina los filtros de uno en uno. Los nombres de los puestos varían entre empresas. Si una oferta concreta ha desaparecido, busca su referencia en la página de empleo de la empresa; ampliar los filtros no recupera una vacante cerrada.

¿La candidatura se envía desde ResumizeAI?

El botón de solicitud abre un destino externo. Sigue las instrucciones de la empresa o del proveedor de selección y confirma allí el envío. Preparar un currículum en ResumizeAI no equivale a presentar una candidatura. Si el enlace solo abre la web de la empresa, busca la vacante antes de continuar.

¿Cómo adapto el currículum y la carta de presentación?

Relaciona los requisitos con proyectos, tareas y resultados que puedas explicar. Destaca lo relevante sin inventar experiencia ni copiar competencias que no tienes. En la carta, explica tu interés y aporta un ejemplo concreto. Respeta el idioma y el formato pedidos y revisa ambos documentos antes de enviarlos.