senior product engineer

Zurn Elkay Water Solutions

<div>Engineer- Sinks Product Group
<h2 class="jobSectionHeader">The Company
</h2>Zurn Elkay Water Solutions Corporation is a thriving, values-driven company focused on doing the right things. We&rsquo;re a fast growing, publicly traded company (NYSE: ZWS), with an enduring reputation for integrity, giving back, and providing an engaging, inclusive environment where careers flourish and grow.
Named by Newsweek as One of America&rsquo;s Most Responsible Companies and an Energage USA Top Workplace, at Zurn Elkay Water Solutions Corporation, we never forget that our people are at the center of what makes us successful. They are the driving force behind our superior quality, product ingenuity, and exceptional customer experience. Our commitment to our people and their professional development is a recipe for success that has fueled our growth for over 100 years, as one of today&rsquo;s leading international suppliers of plumbing and water delivery solutions.
Headquartered in Milwaukee, WI, Zurn Elkay Water Solutions Corporation employs over 2800 employees worldwide, working from 24 locations across the U.S., China, Canada, Dubai, and Mexico, with sales offices available around the globe. We hope you&rsquo;ll visit our website and learn more about Zurn Elkay at zurnelkay.com.
If you&rsquo;re ready to join a company where what you do makes a difference and you have pride in the work you are doing, talk to us about joining the Zurn Elkay Water Solutions Corporation family!
<h1 class="jobSectionHeader">If you are a current employee, please navigate here to apply internally.
</h1>The Engineer I supports the design, development, validation, and continuous improvement of sink products and related accessories. Working under the guidance of senior engineers, this role contributes to product development projects, engineering analyses, laboratory testing, design documentation, and sustaining engineering activities. The Engineer I collaborates closely with Product Management, Operations, Quality, Sourcing, and Manufacturing to ensure products meet performance, quality, cost, and schedule objectives.
Job Responsibilities:
<div><ul><li>Design mechanical components and systems for NPD initiatives related to the sinks and faucet product lines.</li>
<li>Direct involvement in all aspects of product development, including ideation, prototyping, design verification, and production validation.</li>
<li>Evaluate customer feedback, customer requirements, existing product designs, and performance standards to support the development of new products.</li>
<li>Research, make recommendations, and execute product design enhancements or modifications to support cost reduction and quality improvements</li>
<li>Serve as part of a multi-disciplinary team to promote and drive continuous improvement activities.</li>
<li>Help drive manufacturing optimization and cost reductions through innovative teamwork and process improvement.</li>
<li>Collaborate with senior engineers and lab technicians to develop and execute in-house validation tests .
</li><li>Collaborate with the drafting/design team to properly document all new designs within the document control system, including 2D drawings, 3D models, bills of materials, routers, and technical literature.</li>
</ul></div>Job Requirements:
<ul><li>Bachelor's degree in Mechanical Engineering or related technical field
</li><li>Strong 2D drawing and 3D modeling skills, Solidworks preferred.
</li><li>Effective communication and presentation skills.
</li><li>Ability to work effectively in a cross-functional team environment.
</li><li>Experience with overseas sourcing and manufacturing a plus
</li><li>Experience with various sheet metal manufacturing processes like forming, drawing, annealing and welding.</li>
<li>Ability to manage multiple projects at one time
</li><li>Hands-on mechanical aptitude in a test lab environment
</li><li>Support DFMEA and design review activities</li>
<li>Ability to work proficiently on cross functional teams to achieve product development goals
</li><li>Ability to develop and execute action plans
</li><li>Familiarity with third party certification agencies</li>
</ul><h2 class="jobSectionHeader">Total Rewards and Benefits
</h2><ul><li>Competitive Salary</li>
<li>Medical, Dental, Vision, STD, LTD, AD&amp;D, and Life Insurance</li>
<li>Matching 401(k) Contribution</li>
<li>Health Savings Account</li>
<li>Up to 3 weeks starting Vacation (may increase with tenure)
</li><li>12 Paid Holidays</li>
<li>Annual Bonus Eligibility</li>
<li>Educational Reimbursement</li>
<li>Matching Gift Program</li>
<li>Employee Stock Purchase Plan &ndash; purchase company stock at a discount!
</li></ul>**THIRD PARTY AGENCY: Any unsolicited submissions received from recruitment agencies will be considered property of Zurn Elkay, and we will not be liable for any fees or obligations related to those submissions.**
E qual Opportunity Employer &ndash; Minority/Female/Disability/Veteran</div>

Engineer- Sinks Product Group

Micron Technology

<div>Our vision is to transform how the world uses information to enrich life for all .
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
As a Sr. Product Engineer in the DRAM Technology Node Development group at Micron, you will be part of an exceptionally dedicated team advancing innovation in DRAM technology. Your role will be critical in developing industry-leading DRAM by building brand new technology from the ground up. You will collaborate across several departments to ensure flawless product delivery and ramp-up. This dynamic position offers the opportunity to work with modern technology and make a significant impact in memory solutions and an AI-enabled future!
<div>Responsibilities:
<ul><li>Drive new process node startup, qualification, yield, and ramp to world-class performance
</li><li>Guide development teams with deep process integration knowledge
</li><li>Build and apply feedback measures for new technology implementation
</li><li>Partner with Build, Technology Development, Design for Test, and Quality teams to prioritize yield issues
</li><li>Run electrical failure analysis and lift yield through data evaluation and bench testing
</li></ul>Minimum Qualifications:
<ul><li>Bachelor's degree in electrical, computer, or materials engineering, or equivalent
</li><li>5 years of experience working on DRAM in a Product Engineering role
</li><li>Familiarity with DRAM architecture, operation, testing, building, and process
</li><li>Hands-on experience with R&amp;D and/or HVM cross-functional teams on failure analysis and yield ramp
</li><li>Strong DRAM test data analysis skills and root cause fail mode identification
</li></ul>Preferred Qualifications:
<ul><li>Problem-solving and analytical skills using JMP and Python
</li><li>Project management and presentation strengths
</li><li>Clear written and spoken communication
</li><li>Sound decision-making in complex situations
</li><li>Proficiency with AI tools and understanding of how AI fits into product engineering
</li></ul></div>As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits .
Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.
To learn about your right to work click here.
To learn more about Micron, please visit micron.com/careers
For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron&rsquo;s People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3)
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
AI alert : Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.</div>

Sr. Node Development Product Engineer - DRAM Technology

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Every strikethrough price, reference price, and savings number customers see on Amazon depends on data systems that must be fast, accurate, explainable, and available across the world. This role owns the data foundation behind those experiences. You will design the pipelines, data lakes, and quality mechanisms that help Amazon tell customers when an offer is a good value, power AI shopping experiences with trusted pricing data, and give business leaders a reliable view of how pricing experiences are working at Amazon scale. 
 
The scale is rare. Your systems feed shopping detail pages, search, cart, deals, international marketplace launches, finance analysis, and executive reviews across tens of marketplaces and billions of customer impressions a day. The leverage is rarer still. A schema choice, freshness contract, or quality standard you set becomes the way many teams across Pricing build, consume, and reason about reference-price data. 
 
We are looking for a senior data-engineering owner who wants to build, not just operate. The next twelve months include modernizing legacy pipelines onto a more flexible platform, creating new customer-impression datasets, improving data discoverability and lineage, and setting the next-generation organizational data architecture for how Pricing teams build and consume reference-price data. You will also help lead the transformation of data engineering in Pricing into the agentic AI era, using AI agents for migration, validation, and operational leverage while keeping human judgment where architecture, data contracts, and quality bars matter most. 
 
Key job responsibilities 
<ul><li>Design, build, and operate production-grade data pipelines for reference prices, strikethrough prices, savings data, and customer-impression datasets across worldwide marketplaces.</li><li>Build solid data lakes that power S-Team, leadership, finance, product, and analytics requests on reference-price topics, with discoverability, lineage, and quality checks designed in so BIEs and analysts can answer questions quickly and reproducibly.</li><li>Set the data architecture for how upstream pricing signals are transformed into trusted downstream datasets used by shopping experiences, AI features, executive analytics, and ad-hoc deep dives.</li><li>Lead cross-team data contracts across Pricing, Search, shopping detail pages, Deals and Promotions, international marketplaces, and partner teams that consume reference-price data.</li><li>Modernize legacy data pipelines onto modern data platforms, including cutover design, validation strategy, backfill planning, operational readiness, and deprecation of redundant datasets.</li><li>Raise the operational bar for data freshness, completeness, data-quality monitoring, and incident response across high-scale pricing datasets.</li><li>Mentor data engineers and software development engineers on data modeling, pipeline design, migration patterns, and high-quality operational mechanisms.</li><li>Lead the transformation of data engineering across the Pricing organization into the agentic AI era. Define when agents should handle rote migration or validation work, how engineers verify those outputs, and how proven patterns become team-wide standards.</li></ul> 
A day in the life 
You start the morning deep in a design doc, sketching the schema for a new reference-price dataset and writing the freshness contract that downstream teams will build against. Late morning, you ship a small but high-leverage code review that removes duplicate logic from an existing pipeline. You head out to lunch with the software engineering team. 
 
Back at your desk, you kick off an AI agent to migrate a legacy pipeline onto the modern data platform, then settle into a focused block on the harder pieces of the same modernization: the cutover plan is written, validation jobs are running, and the first batch lands for a downstream consumer to sanity-check. You close the day landing a new dataset version that the BIE team will turn into the weekly business-review slide for an SVP read. 
 
About the team 
Price Perception and Evaluation owns the customer-facing pricing experiences that help customers understand value on Amazon, including reference prices, strikethrough prices, savings messages, and the data foundations behind those experiences. We sit at the intersection of pricing, shopping customer experience, data engineering, product, and analytics. Our work has unusually broad reach because the same data foundation serves production shopping surfaces, AI shopping features, business analytics, and leadership inspection. 
 
We are a builder-heavy team with a high bar for technical judgment. We value simple architectures, strong ownership, precise data definitions, and mechanisms that make the right thing easy for partner teams. We are also actively changing how data engineering work gets done by using AI agents to accelerate migrations and operations while keeping engineers focused on design, correctness, and long-term maintainability.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>5+ years of data engineering experience</li><li>Experience with data modeling, warehousing and building ETL pipelines</li><li>Experience with SQL</li><li>Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS</li><li>Experience mentoring team members on best practices</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with big data technologies such as: Hadoop, Hive, Spark, EMR</li><li>Experience operating large data warehouses</li><li>Experience operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets, or experience troubleshooting and documenting findings</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Senior Data Engineer, Price Perception and Evaluation

Worley

<div>
 
 Building on our past. Ready for the future
 
 
 
 Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We&rsquo;re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Implements innovative solutions, technology advances, and methods to effectively deal with working out of sequence.
 </li>
 <li>
 Supports Lead Engineer in monitoring quality activities and takes action where required.
 </li>
 <li>
 Assist Project Team in project documentation such as proposals, estimates, budgets and schedules
 </li>
 <li>
 Manage process design and any design changes within budget and schedule.
 </li>
 <li>
 Prepare and participate in weekly process discipline meetings, prepare progress reports and follow required checking procedures.
 </li>
 <li>
 Determines technical issues, defines alternate solutions, establishes pros/cons for multiple solutions, and makes recommendations through official project documents such as technical queries, technical deviations, etc.
 </li>
 <li>
 Creates final documentation incorporating all relevant information and pursues customer approval.
 </li>
 <li>
 Reviews documentation to assist others and reviews/authorizes work done by direct reports.
 </li>
 <li>
 Evaluate new technology advancements against existing design standards and revise where applicable.
 </li>
 <li>
 Identify and review new technology development which could be applicable in providing more cost-effective facilities.
 </li>
 <li>
 Perform discipline specific engineering services such as:
 </li>
 <li>
 Identify and report changes to project scope;
 </li>
 <li>
 Contribute to appropriate studies, analyses and recommend actions;
 </li>
 <li>
 Assist with the preparation of detailed designs and drawings, specifications, data, calculations and reports;
 </li>
 <li>
 Provide assistance during procurement, construction and commissioning activities.
 </li>
 <li>
 Quality Assurance: Responsible for working within the provisions and guidelines of the Quality Assurance systems.
 </li>
 <li>
 Safety: responsible for personal safety safe working practices. Understand and follow OH&amp;S procedures Promoting health, safety and environmental awareness.
 
 
 </li>
 </ul>
 
 Industry Specific Experience
 
 
 
 <ul>
 <li>
 Must have process design in offshore oil &amp; gas industry in a brownfield environment with focus on rotating equipment.
 </li>
 <li>
 FEED and detailed engineering experience essential.
 </li>
 <li>
 Decent experience in an engineering consultancy in a multidiscipline environment is essential.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Education &ndash; Qualifications, Accreditation, Training:
 
 
 
 <ul>
 <li>
 Full-Time Bachelor&rsquo;s Degree in Chemical Engineering from an accredited university.
 </li>
 <li>
 MME (Ministry of Municipality and Environment) engineering accreditation is a mandatory requirement. Candidates not holding this accreditation must be willing to achieve this within the probationary period.
 </li>
 <li>
 Chartered Professional Engineer (CPEng) status or undertaking the same will be an advantage
 
 
 </li>
 </ul>
 
 IT Skills
 
 
 
 
 Simulations
 
 
 
 <ul>
 <li>
 Aspen suite, Hysys, Pipesys, FlareNet
 </li>
 <li>
 PRO-II
 
 
 </li>
 </ul>
 
 Flow Assurance
 
 
 
 <ul>
 <li>
 PipeNet
 </li>
 <li>
 Pipesim
 </li>
 <li>
 PVTSim/OLGA
 </li>
 <li>
 PipePhase
 </li>
 <li>
 TLNET
 </li>
 <li>
 Fathom
 
 
 </li>
 </ul>
 
 Moving forward together
 
 
 
 We&rsquo;re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees 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 law.
 
 
 We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation.
 
 
 And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology.
 
 
 Whatever your ambition, there&rsquo;s a path for you here. And there&rsquo;s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change.
</div>

Senior Process Engineer

Whitehall Resources

<div>
 
 
 
 Senior IoT Solutions Engineer
 
 
 
 
 An exciting new
 
 Senior IoT Solutions Engineer
 
 opportunity has arisen, working for a leading organisation investing in the next generation of connected products and smart technology solutions.
 
 
 In this role, you will play a key part in designing, developing and supporting scalable IoT platforms. You'll work across the full IoT lifecycle, helping to deliver innovative connected solutions used in commercial environments.
 
 
 If you are an experienced IoT Engineer with strong cloud, integration and data platform expertise, we would love to hear from you!
 
 
 
 
 Do you have:
 
 
 
 <ul>
 <li>
 5+ years' experience designing and delivering enterprise IoT solutions
 </li>
 <li>
 Strong experience with IoT platforms, and cloud-based architectures
 </li>
 <li>
 Experience with Azure IoT or similar cloud IoT platforms
 </li>
 <li>
 Hands-on experience with REST APIs, MQTT, Kafka and event-driven integration patterns
 </li>
 <li>
 Experience working with SQL databases
 </li>
 <li>
 Deep understanding of commercial IoT use cases
 </li>
 <li>
 Experience integrating IoT platforms with enterprise applications, data platforms and analytics solutions
 </li>
 <li>
 Excellent problem-solving skills with experience troubleshooting connectivity and performance issues
 </li>
 </ul>
 
 
 
 Do you want:
 
 
 
 <ul>
 <li>
 To play a key role in the design and evolution of enterprise IoT platforms?
 </li>
 <li>
 To work with modern cloud, data and integration technologies?
 </li>
 <li>
 To collaborate with international engineering, data and product teams?
 </li>
 <li>
 To be part of exciting projects delivering connected products at scale?
 </li>
 </ul>
 
 
 If so, then please do apply!
 
 
 
 
 IoT | Azure | MQTT | Kafka | REST API | Event-Driven Architecture | Cloud Integration | SQL | Python | JavaScript | Node.js
 
 
</div>

Senior IoT Solutions Engineer

Procore Technologies

<div>
 
 Job Ad
 
 
 
 We&rsquo;re looking for a
 
 Senior Software Engineer - Agentic Foundation
 
 to join Procore&rsquo;s Product &amp; Technology team. In this role, you&rsquo;ll build and operate the tooling, frameworks, and services that make AI-native workflows the default across Procore's software development lifecycle. The primary goal of this role is to treat AI adoption as an internal product, empowering engineering teams to achieve high velocity without compromising on quality in this critical functional domain.
 
 
 As a Senior Software Engineer - Agentic Foundation, you&rsquo;ll partner with engineering, product, product design, data, security, and business systems teams to design, build, and evolve the core agentic tooling and frameworks that enable Procore engineers to leverage AI natively across the software development lifecycle. Use your backend systems depth, DevOps instincts, and hands-on AI workflow expertise to accelerate developer productivity and shape the agentic future of construction software. Shape the cutting-edge future of AI-driven developer platforms &mdash; join us today!
 
 
 This position reports into a Senior Manager, Software Engineering and will be based in our Cairo, Egypt office. We&rsquo;re looking for someone to join us immediately.
 
 
 
 What you&rsquo;ll do:
 
 
 
 <ul>
 <li>
 AI is central to how we work. You&rsquo;ll be expected to master generative tools and agentic workflows, moving beyond just using AI to actively building the agentic future of construction.
 </li>
 <li>
 Design, build, and evolve the core agentic tooling and frameworks that enable Procore engineers to leverage AI natively across the software development lifecycle &mdash; from code generation and review to test orchestration and deployment.
 </li>
 <li>
 Build the feedback loop between AI tool usage and engineering outcomes by instrumenting how agentic workflows impact cycle time, change failure rate, and developer throughput.
 </li>
 <li>
 Evaluate and integrate AI tools and frameworks into Procore's supported agentic tooling suite, making build-vs-buy decisions grounded in real usage and team feedback.
 </li>
 <li>
 Vet community-built skills and tools contributed by engineers across the organization, define evaluation criteria, and promote successful solutions into the officially supported tooling suite.
 </li>
 <li>
 Establish and champion engineering standards, best practices, and platform contracts that allow hundreds of development teams to ship safely at high velocity.
 </li>
 <li>
 Master generative tools and agentic workflows to actively build the automated future of construction software.
 
 
 </li>
 </ul>
 
 What we&rsquo;re looking for:
 
 
 
 <ul>
 <li>
 5+ years of professional software engineering experience, with demonstrated depth in full-stack development and backend systems.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, a related technical field, or equivalent practical experience.
 </li>
 <li>
 Strong technical fundamentals in at least one of the following: Ruby on Rails, Python, or TypeScript, alongside comfort reading and contributing across multiple languages.
 </li>
 <li>
 Hands-on experience with AI coding tools (e.g., Claude, Cursor, Copilot) and building or customizing AI-assisted workflows (e.g., prompt engineering, MCP integrations, evals, or agentic pipelines).
 </li>
 <li>
 Solid DevOps instincts regarding deployment strategies, rollback mechanisms, feature flags, Kubernetes service operation, and CI/CD pipeline management.
 </li>
 <li>
 Adaptable and experimental characteristic mindset with the ability to explore uncharted territory, evaluate fast-moving AI technologies critically, and distinguish proven solutions from trends.
 </li>
 <li>
 Experience building or integrating AI-native developer tooling, LLM evaluation frameworks, or AI/LLM Gateways (such as MCPs or MCP Gateways) is highly preferred.
 </li>
 <li>
 Familiarity with how AI Agents and LLMs work under the hood, or previous experience working within Developer Platform, DevOps, or Developer Experience teams is a plus.
 </li>
 </ul>
</div>

Senior Software Engineer, Agentic Foundation

Intellias

<div>
 
 
 Senior Python Engineer &ndash; Multi-Agent AI (AWS, LangGraph)
 
 
 
 
 
 
 
 About the Role
 
 
 
 We are looking for a
 
 Senior Python Engineer
 
 to design and build enterprise-grade
 
 multi-agent AI systems
 
 on AWS. In this role, you will architect and develop intelligent agent solutions using
 
 LangGraph
 
 ,
 
 LangChain
 
 , and
 
 AWS Bedrock AgentCore Runtime
 
 , focusing on scalable orchestration, stateful workflow execution, human-in-the-loop (HITL) processes, and distributed agent collaboration.
 
 
 You will work closely with architects, platform engineers, and product teams to deliver production-ready AI solutions that are reliable, scalable, and aligned with enterprise engineering standards.
 
 
 
 
 
 
 Project Overview
 
 
 
 Our customer is a multinational corporation with more than a century of history and operations in over 180 countries. One of its key strategic initiatives is the development and adoption of a new generation of Reduced-Risk Products (RRPs), targeting more than one billion consumers worldwide.
 
 
 Intellia partners with the customer to engineer a comprehensive software ecosystem supporting innovative IoT products, digital commerce, and enterprise platforms. The engineering organization develops core platform components powering best-in-class eCommerce, Digital Marketing, and IoT solutions.
 
 
 As a
 
 Senior Python Engineer
 
 , you will join the
 
 Core Architecture Team
 
 , contributing to the design and implementation of a modern Digital Engineering Enterprise Platform.
 
 
 The platform consists of services and applications that accelerate software delivery by providing engineering teams with reusable technologies, standardized development practices, compliance controls, and operational capabilities across more than 700 enterprise applications.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and maintain enterprise-grade multi-agent AI applications using Python, LangGraph, and LangChain.
 </li>
 <li>
 Build scalable agent workflows leveraging AWS Bedrock AgentCore Runtime.
 </li>
 <li>
 Implement advanced orchestration patterns, including supervisor/worker, fan-out/fan-in, and collaborative multi-agent architectures.
 </li>
 <li>
 Design stateful workflow execution using LangGraph checkpointing, recovery, and persistence mechanisms.
 </li>
 <li>
 Develop resilient, fault-tolerant, and idempotent execution strategies for long-running AI workflows.
 </li>
 <li>
 Integrate Human-in-the-Loop (HITL) approval processes into business-critical agent workflows.
 </li>
 <li>
 Enable agent delegation and collaboration through Agent Gateway and Agent-to-Agent (A2A) communication.
 </li>
 <li>
 Implement memory, context management, and persistence strategies for AI agents.
 </li>
 <li>
 Optimize workflow scalability, reliability, observability, and performance within distributed cloud environments.
 </li>
 <li>
 Collaborate with platform, security, DevOps, and product teams to deliver production-ready AI solutions.
 </li>
 <li>
 Define engineering standards, testing strategies, and operational best practices for agent-based applications.
 </li>
 <li>
 Support deployment, monitoring, troubleshooting, and continuous improvement of AI solutions running on AWS.
 </li>
 </ul>
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor's degree in computer science, Software Engineering, or a related field.
 </li>
 <li>
 5+ years of professional Python software engineering experience.
 </li>
 <li>
 Hands-on experience building multi-step agent workflows with LangGraph.
 </li>
 <li>
 Strong experience with LangChain.
 </li>
 <li>
 Experience with AWS Bedrock AgentCore Runtime.
 </li>
 <li>
 Solid understanding of multi-agent orchestration patterns, including supervisor/worker and fan-out/fan-in architectures.
 </li>
 <li>
 Experience implementing LangGraph checkpointing and state management.
 </li>
 <li>
 Knowledge of Human-in-the-Loop (HITL) workflow design.
 </li>
 <li>
 Experience with Agent-to-Agent (A2A) delegation through Agent Gateway.
 </li>
 <li>
 Experience with workflow orchestration platforms such as Temporal, Apache Airflow, or similar.
 </li>
 <li>
 Strong understanding of distributed systems concepts, including checkpointing, idempotency, fault tolerance, and workflow recovery.
 </li>
 <li>
 Experience building scalable, cloud-native applications on AWS.
 </li>
 <li>
 Strong problem-solving, communication, and collaboration skills.
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Experience evaluating AWS AgentCore Runtime maturity and enterprise adoption.
 </li>
 <li>
 Hands-on experience with AWS Bedrock Memory API.
 </li>
 <li>
 Experience integrating enterprise approval workflows into Human-in-the-Loop AI systems.
 </li>
 <li>
 Experience with AI observability, monitoring, and production operations.
 </li>
 <li>
 Familiarity with CI/CD pipelines and Infrastructure as Code in AWS environments.
 </li>
 </ul>
 
 
 
 
 
 Why Join Us
 
 
 <ul>
 <li>
 Work on enterprise-scale AI initiatives for a global industry leader.
 </li>
 <li>
 Design and build next-generation multi-agent AI systems using cutting-edge AWS technologies.
 </li>
 <li>
 Influence architecture decisions and engineering best practices across large-scale platforms.
 </li>
 <li>
 Collaborate with highly experienced architecture and engineering teams on innovative cloud-native solutions.
 </li>
 <li>
 Opportunity to shape the future of enterprise AI orchestration in production environments.
 </li>
 </ul>
 
 
 
</div>

Senior Python Engineer – Multi-Agent AI (AWS, LangGraph)

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