ai product engineer

McKesson

<div>McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve &ndash; we care.
What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow&rsquo;s health today, we want to hear from you.
McKesson's Group Purchasing Organization (GPO) team delivers innovative sourcing, contracting, analytics, and operational solutions that help healthcare organizations improve efficiency, reduce costs, and make informed business decisions. By combining industry expertise with data-driven insights and technology-enabled solutions, the GPO organization supports critical business functions across McKesson and its customers.
As aSenior AI Product Engineer, you will design, build, and own AI-powered products that support complex business workflows and decision-making processes. This role combines product ownership, software engineering, and AI solution development to deliver scalable tools that create measurable business value. You will work closely with business stakeholders, data teams, and technology partners to transform business challenges into AI-driven products that improve efficiency, automation, and insight generation.
This position is remote and candidates must reside within commuting distance of eitherThe Woodlands, TXorIrving/Las Colinas, TXand be available to attend onsite meetings as needed.
Key Responsibilities
<ul><li>Partner with business subject matter experts to understand workflows and translate requirements into scalable product solutions.</li>
<li>Collaborate with cross-functional teams to identify opportunities for automation and process optimization.</li>
<li>Design, develop, and deploy AI-powered applications leveraging large language models (LLMs), retrieval-augmented generation (RAG), intelligent workflows, and related technologies.</li>
<li>Build and maintain data pipelines and integrations required to support AI-powered solutions.</li>
<li>Integrate internal and external data sources to create scalable, reliable, and actionable intelligence solutions.</li>
<li>Implement controls that improve solution quality, including source attribution, confidence scoring, auditability, and human review processes where appropriate.</li>
<li>Develop user-focused products and experiences that drive adoption and measurable business impact.</li>
<li>Define, monitor, and report key success metrics including user adoption, productivity gains, operational efficiencies, and business outcomes.</li>
<li>Support production AI applications through monitoring, troubleshooting, and continuous improvement efforts.</li>
<li>Document technical designs, data flows, governance considerations, and operational procedures.</li>
<li>Partner with data engineering, analytics, and operations teams to leverage enterprise data assets and shared technology platforms.</li>
<li>Contribute to the broader AI strategy by evaluating emerging technologies and recommending innovative solutions.</li>
</ul>Minimum Requirement
Typically requires4+ years of related experience and a bachelor's degreein computer science, engineering, information systems, data science, or a related field, or equivalent experience.
Education
Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or related field, or equivalent professional experience.
Critical Skills
<ul><li>4+ years of software engineering experience with proficiency in Python and SQL.</li>
<li>Experience designing and implementing data pipelines, integrations, and cloud-based applications.</li>
<li>Experience building AI, machine learning, generative AI, intelligent workflows or LLM-powered solutions.</li>
<li>Knowledge of modern cloud platforms such as Azure, AWS, or Google Cloud Platform.</li>
<li>Experience integrating third-party data sources and APIs.</li>
<li>Full-stack development experience, including front-end application development and data visualization.</li>
<li>Ability to translate business requirements into technical solutions and product capabilities.</li>
<li>Strong analytical, problem-solving, and critical-thinking skills.</li>
<li>Strong verbal and written communication skills with the ability to collaborate across technical and business teams.</li>
</ul>Additional Skills
<ul><li>Experience delivering solutions independently in dynamic and evolving environments.</li>
<li>Experience developing products from concept through deployment and user adoption.</li>
<li>Familiarity with AI governance, model evaluation, prompt engineering, and solution monitoring.</li>
<li>Ability to influence stakeholders and drive alignment without formal authority.</li>
<li>Demonstrated curiosity, innovation, and continuous learning in emerging AI technologies.</li>
</ul>Physical Requirements
<ul><li>General office environment.</li>
<li>Significant computer and keyboard usage required.</li>
<li>Ability to attend onsite meetings as needed.</li>
</ul>Travel
<ul><li>Up to 10% travel.</li>
</ul>McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration-related employment benefit for this role.
Applicants must be currently authorized to work in the United States on a full-time basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration-related employment authorization (e.g., H-1B, O-1, E-3, H-1B1, TN, F-1 OPT, F-1 STEM OPT, F-1 CPT, etc.) now or in the future.
If you will require McKesson to provide immigration support or sponsorship now or in the future, you should not apply for this position.
We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson,
Our Base Pay Range for this position
$108,700 - $181,100
McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson&rsquo;s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:
 
 
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. 
 
McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.
McKesson job postings are posted on our career site: careers.mckesson.com.
McKesson is an Equal Opportunity Employer
McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson&rsquo;s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.
McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted.
Join us at McKesson!</div>

AI Product Engineer

Volga Partners

<div>Location 
Islamabad, Pakistan 
House #571, Street #35, E-11/3, Islamabad
Employment Type 
Full-time
Work Setup: Hybrid
 
3 days in office 
2 days remote
Compensation 
PKR 600,000 &ndash; 850,000 per month 
(Compensation will be determined based on experience, software and AI background, technical expertise, AI product experience, and overall alignment with the role). 
About Volga Partners
Volga Partners is a global technology and AI solutions company focused on building innovative products, platforms, and intelligent systems that solve real-world business challenges. Our teams work across AI, software development, automation, data operations, and enterprise technology solutions supporting clients and products on a global scale.
We are building the next generation of AI-powered products and platform experiences and are seeking a Principal Software &amp; AI Engineer who thrives in fast-paced environments, enjoys solving complex problems, and can connect customer needs, business goals, and technology into a clear product vision.
About the Role
We are seeking a highly experienced Senior Software &amp; AI Engineer to join our growing engineering team. The ideal candidate will possess extensive experience in full-stack software development, system architecture, cloud technologies, artificial intelligence, and modern software engineering practices.
This role requires a hands-on technical leader capable of designing, developing, and deploying scalable enterprise applications while leveraging AI technologies to build innovative solutions. The candidate should be comfortable working across multiple programming languages, frameworks, and cloud environments.
Key Responsibilities<ul><li>
Design, architect, and develop scalable enterprise-grade software applications.</li><li>
Lead the development of AI-powered products and features utilizing modern AI/ML technologies.</li><li>
Build and maintain high-performance backend services, APIs, and distributed systems.</li><li>
Develop modern web applications and user interfaces using current frontend frameworks.</li><li>
Design database architectures and optimize application performance.</li><li>
Integrate third-party services, APIs, payment gateways, and cloud-based solutions.</li><li>
Collaborate with product managers, designers, and stakeholders to define technical requirements.</li><li>
Implement security best practices and ensure compliance with industry standards.</li><li>
Mentor junior and mid-level engineers and conduct technical reviews.</li><li>
Drive architectural decisions and establish engineering best practices.</li><li>
Participate in Agile development processes and technical planning.</li></ul> 
Required Qualifications
Experience<ul><li>
Minimum 8 years of professional Software/AI engineering experience.</li><li>
Proven experience delivering large-scale production applications.</li><li>
Strong experience working with international teams and remote environments.</li><li>
Experience leading technical projects and mentoring engineering teams.</li></ul>
Programming Languages
Candidates should have strong experience with most of the following technologies:<ul><li>
JavaScript</li><li>
TypeScript</li><li>
Python</li><li>
Java</li><li>
C#</li><li>
Go (Golang)</li><li>
PHP</li><li>
C++</li><li>
Rust</li><li>
SQL</li></ul>
Frontend Technologies<ul><li>
React.js</li><li>
Next.js</li><li>
Angular</li><li>
Vue.js</li><li>
HTML5</li><li>
CSS3</li><li>
Tailwind CSS</li><li>
Redux</li></ul>
Backend Technologies<ul><li>
Node.js</li><li>
Express.js</li><li>
NestJS</li><li>
Django</li><li>
FastAPI</li><li>
ASP.NET Core</li><li>
Spring Boot</li><li>
GraphQL</li><li>
REST APIs</li><li>
Microservices Architecture</li></ul>
Artificial Intelligence &amp; Machine Learning<ul><li>
OpenAI API</li><li>
Large Language Models (LLMs)</li><li>
Prompt Engineering</li><li>
AI Agent Development</li><li>
Retrieval-Augmented Generation (RAG)</li><li>
Vector Databases</li><li>
LangChain / LlamaIndex</li><li>
Machine Learning Fundamentals</li><li>
AI Workflow Automation</li></ul>
Databases<ul><li>
PostgreSQL</li><li>
MySQL</li><li>
MongoDB</li><li>
Redis</li><li>
SQL Server</li></ul>
Cloud &amp; DevOps<ul><li>
AWS</li><li>
Azure</li><li>
Google Cloud Platform (GCP)</li><li>
Docker</li><li>
Kubernetes</li><li>
CI/CD Pipelines</li><li>
GitHub Actions</li><li>
Terraform</li><li>
Linux Administration</li></ul>
Security &amp; Architecture<ul><li>
OAuth</li><li>
JWT Authentication</li><li>
RBAC</li><li>
Secure Coding Practices</li><li>
Distributed Systems</li><li>
Event-Driven Architecture</li><li>
System Design</li><li>
Performance Optimization</li></ul> 
Preferred Qualifications<ul><li>
Experience building SaaS products.</li><li>
Experience working with healthcare, fintech, or enterprise applications.</li><li>
Knowledge of data engineering and analytics platforms.</li><li>
Experience with AI-powered automation systems.</li><li>
Experience with real-time communication systems and WebSockets.</li><li>
Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.</li></ul> 
Compensation &amp; Benefits<ul><li>
Monthly compensation ranging from PKR 600,000 &ndash; PKR 850,000</li><li>
90-day probationary period.</li><li>
Eligible for company-sponsored medical insurance upon successful completion of probation.</li><li>
Eligible for holiday pay for designated company-observed holidays after 90 days of employment, subject to company policy.</li><li>
Eligible for Paid Time Off (PTO) in accordance with the company's service-based accrual model and eligibility requirements.</li><li>
Opportunity for career growth, product ownership, and direct impact on company strategy.</li></ul> 
Application Process
Qualified candidates are encouraged to submit their updated resume along with details of relevant projects, technical expertise, and availability.
Only shortlisted candidates will be contacted for interviews.</div>

Principal Software & AI Engineer - Pakistan

Content Engineer, Meta Superintelligence Labs

SpaceX

<div><div>SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.</div>
APPLICATION SOFTWARE ENGINEER, APPLIED AI

The application software team is the central nervous system of SpaceX &ndash; we create mission critical applications that are used throughout SpaceX to accelerate launch vehicle production and flight as well as systems that allow Starlink to grow into a worldwide fast, reliable Internet service. We are looking for engineers who treat fellow teammates with fairness, respect, and support.

In this Applied AI role within the Application Software team, you will design, evaluate, deploy, and integrate modern AI systems&mdash;including large language models and agentic systems&mdash;that power products and infrastructure across SpaceX. You will own the end-to-end lifecycle of AI capabilities from prototype to production while partnering closely with Product, Engineering, and Operations teams. We are looking for a strong software engineer with a proven track record of delivering AI products, including hands-on experience evaluating, deploying, and integrating AI solutions into real production systems.

Aerospace experience is not required &ndash; rather we look for smart, motivated, respectful, collaborative engineers who love solving problems and want to make an impact on a super inspiring mission. You will have full ownership of challenging problems, working with a team of enthusiastic engineers with diverse perspectives to design and produce solutions that enable SpaceX to move towards our goals at a rapid pace. The success of the missions at SpaceX depends on the software that you and your team produce.

RESPONSIBILITIES:
<ul>
<li>Develop highly reliable software solutions used across SpaceX, including AI-powered applications that accelerate production, flight, and Starlink operations</li>
<li>Create new applications that improve how SpaceX operates by incorporating modern large language models, agentic systems, and other AI capabilities</li>
<li>Own the full lifecycle of Applied AI systems: design, evaluation, deployment, monitoring, and iteration from prototype to production</li>
<li>Deep dive into users' problems to uncover high-leverage AI opportunities and deliver efficient, production-grade solutions</li>
<li>Architect production systems for agentic workflows, tool-use, multi-agent orchestration, advanced retrieval, and long-context applications that prioritize reliability, safety, and responsible deployment</li>
<li>Build and maintain rigorous evaluation frameworks (LLM-as-judge, automated benchmarks, online evaluation) and production observability/monitoring for AI quality, safety, latency, and cost</li>
<li>Stay at the frontier of LLM techniques and rapidly incorporate emerging best practices into production systems across SpaceX programs</li>
</ul>
BASIC QUALIFICATIONS:
<ul>
<li>Bachelor's degree in computer science, engineering, math, or scientific discipline; OR 2+ years of professional experience building software in lieu of a degree</li>
<li>1+ years of experience in full stack development</li>
</ul>
PREFERRED SKILLS AND EXPERIENCE:
<ul>
<li>Hands-on experience evaluating, deploying, and integrating AI models into production systems</li>
<li>Proven track record of delivering (or significantly contributing to) end-to-end AI products or production AI-powered features</li>
<li>Proven track record of shipping real-world AI products from prototype through production deployment and iteration</li>
<li>Deep hands-on experience with modern LLM techniques: agentic systems, tool-use / function calling, multi-agent orchestration, advanced retrieval architectures, fine-tuning, and structured outputs</li>
<li>Experience building production evaluation systems (LLM-as-judge, automated eval harnesses, A/B testing, red-teaming) and AI observability/monitoring (tracing, quality metrics, safety, cost)</li>
<li>Experience designing and implementing production architecture for AI-powered applications with strong emphasis on reliability, safety, and responsible deployment</li>
<li>Previous experience in AI product design, development, integration, testing, and productionization</li>
<li>Strong software engineering foundation with expertise in designing production systems (including AI-powered and system-to-system architectures) and a track record of writing clean, maintainable code</li>
<li>Programming experience in Python, C#.NET, Go, Scala, Java, or similar</li>
<li>Production experience with Docker, Kubernetes, and modern data streaming (Kafka or similar)</li>
<li>Front-end experience (Angular, React, or similar) and database experience (PostgreSQL, SQL Server, or similar)</li>
<li>Demonstrated ability to stay current with rapidly evolving AI technologies and best practices</li>
<li>Ability to work under pressure and deliver results across multiple parallel priorities in a fast-paced, high-reliability environment</li>
</ul>
ADDITIONAL REQUIREMENTS:
<ul>
<li>You may be asked to work extended hours/weekends dependent on launch cadence</li>
<li>This role requires you to be onsite. Remote and/or hybrid work will not be considered</li>
<li>Ability to pass Air Force background check for Cape Canaveral</li>
</ul><div>
ITAR REQUIREMENTS:
<ul>
<li>To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. &sect; 1157, or (iv) Asylee under 8 U.S.C. &sect; 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.</li>
</ul>
SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

Applicants wishing to view a copy of SpaceX's Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to EEOCompliance@spacex.com.</div></div>

Application Software Engineer, Applied AI

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

Coforge

AI Engineer -Practitioners who build and deploy AI models and agentic workflows in production, including prompt engineering, fine-tuning, RAG pipelines, and AI-infused application development. These individuals design, develop, customize, and implement AI solutions for others to use. Technology - Java, Frontend and QE (Playwright).
 We are seeking an experiencedAI Engineer to design, develop, and deploy AI-powered applications and agentic workflows into production environments. The ideal candidate will have hands-on expertise in building AI solutions using Large Language Models (LLMs), Retrieval Augmented Generation (RAG), prompt engineering, AI orchestration frameworks, and modern application development practices.
 This role requires a combination ofAI engineering, Java development, Frontend development, and Quality Engineering (Playwright) to deliver scalable, reliable, and enterprise-grade AI solutions.
 
Key Responsibilities
 
AI Solution Development
 
<ul>
<li>Design, develop, and deploy AI-powered applications using modern LLM technologies.</li>
<li>Build and implement agentic workflows leveraging AI agents, orchestration frameworks, and automation platforms.</li>
<li>Develop Retrieval-Augmented Generation (RAG) pipelines using vector databases and enterprise knowledge sources.</li>
<li>Perform prompt engineering, prompt optimization, and model evaluation to improve AI solution accuracy and reliability.</li>
<li>Fine-tune foundation models where applicable to meet business-specific requirements.</li>
<li>Integrate AI capabilities into existing enterprise applications and platforms.</li>
<li>Monitor, optimize, and maintain AI systems in production environments.</li>
</ul>
Application Development
 
<ul>
<li>Develop backend services and APIs using Java-based frameworks.</li>
<li>Build responsive and scalable frontend applications to deliver AI-driven user experiences.</li>
<li>Collaborate with architects, product owners, and business stakeholders to translate requirements into technical solutions.</li>
<li>Implement integrations with internal and external systems through APIs and microservices.</li>
</ul>
Quality Engineering Testing
 
<ul>
<li>Develop automated test strategies for AI-enabled applications.</li>
<li>Design and execute UI and API automation using Playwright.</li>
<li>Validate AI outputs through functional, regression, and performance testing.</li>
<li>Establish test frameworks and quality gates for AI solutions deployed in production.</li>
<li>Ensure security, performance, and reliability standards are met.</li>
</ul>
Collaboration Innovation
 
<ul>
<li>Work closely with AI Architects, Data Scientists, Product Teams, and Business SMEs.</li>
<li>Stay current with emerging AI technologies, frameworks, and industry best practices.</li>
<li>Contribute to AI governance, responsible AI practices, and solution documentation.</li>
</ul>
Required Skills
 
AI GenAI
 
<ul>
<li>Prompt Engineering</li>
<li>Large Language Models (OpenAI, Azure OpenAI, Anthropic, Gemini, etc.)</li>
<li>Agentic AI Frameworks</li>
<li>Retrieval-Augmented Generation (RAG)</li>
<li>Vector Databases</li>
<li>Model Evaluation and Optimization</li>
<li>Fine-tuning Concepts</li>
<li>AI Application Development</li>
<li>AI Orchestration Frameworks (LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen, etc.)</li>
</ul>
Backend Development
 
<ul>
<li>Java 8+/11+/17+</li>
<li>Spring Boot</li>
<li>REST APIs Microservices Architecture</li>
<li>API Integration</li>
</ul>
Frontend Development
 
<ul>
<li>React.js / Angular / Modern JavaScript Frameworks</li>
<li>HTML5, CSS3, JavaScript, TypeScript</li>
</ul>
Quality Engineering
 
<ul>
<li>Playwright Automation</li>
<li>API Testing</li>
<li>Test Automation Framework Design</li>
<li>Functional Regression Testing</li>
<li>CI/CD Testing Practices</li>
</ul>
Cloud DevOps
 
<ul>
<li>Azure / AWS / GCP</li>
<li>Docker Kubernetes</li>
<li>CI/CD Pipelines</li>
<li>Git, GitHub, Azure DevOps</li>
</ul>

AI Engineer

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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