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A/AI Machine Learning Engineering - E2
Lockheed Martin
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Lockheed Martin Space CORTEX AI Team is seeking a highly skilled hybrid Software and AI/ML Machine Learning Engineer to join a cross-functional team of experts in research, data science,…
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Medical Imaging and AI Research Engineer
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Life Sciences AI Research Engineer
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AMD is looking for a hands-on research engineer to advance life sciences computing at the intersection of computational biology, AI, and high-performance computing.
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Data Center Technician II
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Must have the ability to work non-standard hours, including working weekends, night shifts, holidays and on shift-based schedules as required
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Senior Staff Software Engineer, Generative Retail Ad Formats and LLM Applications
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Mountain View, CA
…mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as…
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Data Center Technician II
Google
Pryor, OK
Must have the ability to work non-standard hours, including working weekends, night shifts, holidays and on shift-based schedules as required
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Software Engineer, Agentic Model Serving, Robotics, DeepMind
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As a Software Engineer focusing on agentic robotics systems and model serving, you will bridge the gap between cutting-edge AI research and robust production systems by architecting and…
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Senior Analyst, Product Engineer
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…database/general report and plan set up resources. SR Analyst, Product Engineer will set up the plans using a prototype control in CCI and PMA application to support the Small Group plans…
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Summer 2027 Enterprise Architecture Software Engineer & Architect enGen Undergradute Intern
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Software Development Engineer
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Computational Analysis Engineer III
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Computational Analysis Engineer III
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Manufacturing engineer
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Manufacturing engineer
Leonardo Helicopters US Corporation
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Lead Data Engineer PennDnA- People
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Google Cloud Engineer, Experienced Associate
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What You Must Have
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Tech Professional, Quality Systems, AI
Johnson & Johnson Services Inc. Legal Entity
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…landscape at DePuy Synthes. Establishing methods based on proven research, this role provides day-to-day technical support and continuous improvement across validated quality platforms -…
Added 19 mins ago
Senior Recruiter, AI Labs
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Remote, United States
You’ve recruited at scale for research scientists, applied scientists, ML engineers, and data scientists. You understand the difference between a Machine Learning Engineer and an Applied…
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Talent Advisor, AI Labs
Salesforce, Inc.
CA
- $117,400 to $193,700 USD / year
You’ve recruited at scale for research scientists, applied scientists, ML engineers, and data scientists. You understand the difference between a Machine Learning Engineer and an Applied…
Added 27 mins ago
Mechanical Engineer
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Senior Software Engineer, Autonomous Systems
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Palo Alto, CA
- $145,000 to $275,000 USD / year
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Added 43 mins ago
Engineer II
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St. Louis, MO
Performs engineering work related to the investigation and the solution of technical problems associated with research, design, development, service and manufacture of Gulfstream aircraft.
Added 47 mins ago
2027 Summer Intern: Software Engineer
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Greenwood Village, CO
Must have at least a 3.0 GPA or greater in current program
Added 50 mins ago
Chemical Engineer
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…elimination solutions. We are currently seeking a talented Chemical Engineer to join our team. As a Chemical Engineer at ODORZX INC., you will be responsible for developing and implementing…
Added 50 mins ago
Tech Professional, Quality Systems, AI
Johnson & Johnson Services Inc. Legal Entity
Raynham, MA
…landscape at DePuy Synthes. Establishing methods based on proven research, this role provides day-to-day technical support and continuous improvement across validated quality platforms -…

Weekday AI

Agentic Full-Stack Engineer

Remote, United States

₹2,000,000 to ₹5,000,000 INR / year

Apply on jobs.workable.com About employer

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Job details

Pay: ₹2,000,000 to ₹5,000,000 INR / year
Work location: Candidates must reside in or within commuting distance of San Jose, California, or Albuquerque, New Mexico
Posting language: English
Posted: Nov 11, 2026

Original job description

This role is for one of Weekday’s clients Salary range: Rs 2000000 - Rs 5000000 (ie INR 20 - 50 LPA)

Min Experience: 2+ years Location: Remote (India), India JobType: full-time

We are looking for an Agentic Full-Stack Engineer who combines strong software engineering fundamentals with hands-on experience using AI coding agents to accelerate development. You will build and ship features for an AI-native cybersecurity platform, using tools such as Claude and ChatGPT as force multipliers while applying sound engineering judgment to review, refine, and validate AI-generated outputs. You will own features end-to-end within an established architecture, from scoping and implementation through testing, code review, deployment, and monitoring. You will also contribute to agentic workflows and automation pipelines that improve engineering productivity and help translate vulnerability intelligence into actionable platform capabilities.

Key Responsibilities

Full-Stack Feature Development

Design, develop, test, and deploy full-stack features for a cloud-native cybersecurity SaaS platform.
Use AI coding agents to draft specifications, generate boilerplate, and accelerate implementation.
Critically review AI-generated code and specifications for correctness, security vulnerabilities, hallucinations, and alignment with existing architectural patterns.
Take ownership of assigned features throughout the development lifecycle, including testing, code reviews, deployment, and monitoring.
Contribute to API design and data modelling within an established microservices architecture.

Agentic AI & Automation Engineering

Use and extend existing agentic workflows and engineering automation pipelines.
Build reusable automations for recurring engineering tasks and contribute to AI-powered development processes.
Follow human-in-the-loop review practices to ensure all AI-generated changes are evaluated before reaching production.
Explore opportunities to move beyond using GenAI tools towards designing agent workflows and reusable AI capabilities.

Cloud Platform & Infrastructure

Build and maintain cloud-native SaaS services on AWS or other public cloud platforms.
Work with containerized applications, RESTful APIs, and serverless or event-driven architectures.
Support services responsible for real-time threat intelligence ingestion and delivery.
Apply secure-by-design principles throughout development.

Security & Cross-Functional Collaboration

Collaborate with security researchers to translate vulnerability intelligence into practical platform features.
Develop an understanding of exposure management, security tooling, vulnerability data, and threat intelligence.
Work with teams across the US and India, including attending 1–2 evening meetings per week to coordinate with India-based teams.
Integrate GenAI tools into everyday work while following data classification and responsible AI usage guidelines.

Must-Have Skills & Qualifications

2+ years of experience building production-grade software, preferably within SaaS environments.
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical field, or equivalent practical experience.
Working experience with at least one public cloud platform: AWS, GCP, or Azure. AWS experience is preferred.
Practical familiarity with containerization, RESTful API design, and at least one of serverless or event-driven architecture.
Ability to independently own features from scoping and implementation through testing, review, and deployment.
Strong written communication skills and the ability to collaborate across time zones.
Hands-on, daily experience using AI coding agents is mandatory.
Ability to evaluate AI-generated code and specifications for hallucinations, security flaws, and deviations from established architectural patterns.
Practical experience using GenAI tools such as Claude or ChatGPT for coding, research, drafting, summarization, data analysis, or workflow automation.
Understanding of GenAI limitations, including hallucination risks, context-window constraints, and data sensitivity boundaries.
Familiarity with prompt engineering, multi-step instructions, context setting, and iterative refinement of AI-generated outputs.
Comfort working with agentic AI workflows and willingness to learn how to design and extend them.
Awareness of AI security fundamentals, including prompt injection risks, data classification, sandboxed execution, and responsible handling of sensitive information.
Willingness to adopt emerging AI tools and participate in AI adoption initiatives, hackathons, and team knowledge-sharing activities.

Good-to-Have Skills

Exposure to security tooling, vulnerability data, or threat intelligence.
Experience working in codebases with established testing practices and continuous integration (CI) processes.
Familiarity with cloud-native security platforms and microservices architectures.

Location & Employment Requirements

Candidates must reside in or within commuting distance of San Jose, California, or Albuquerque, New Mexico.
Must be legally authorized to work in the United States without requiring current or future employer sponsorship.
Employment is contingent upon successfully completing a background check, including prior employment verification.

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More about this job

Skills

Cybersecurity
API development
Data modelling
Microservices Architecture
AWS
Design principles
Computer science
Computer technology
Google Cloud
Microsoft Azure
RESTful API
Communication skills
Research
Data analysis
Workflow
CI/CD
Microservices

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Jobs in the United States