1,291 jobs for "Software Engineer : AI"

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Artificial Intelligence Software Engineer

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Software Engineering - Intelligent Platforms (Mid)

At Leidos - Remote / Flexible

Posted on Oct 23

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Software Engineer III (Full Stack/API Integration)

At TD Bank - Toronto

Posted on Oct 23

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AI Engineer 4 (AI Foundations: World Model, RL, Causal Inference, Sequential Data)

At Capital One - McLean · Cambridge

Posted on Nov 8

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Software Engineer II (Backend - Java)

At Mastercard - Vancouver

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Cargill

Senior Software Engineer - Food

Bengaluru, IndiaPosted 10 days ago

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Why you should apply for a job to Cargill:

4.1/5 in overall job satisfaction
4.5/5 in supportive management
71% say women are treated fairly and equally to men
71% would recommend this company to other women
79% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

Job Purpose and Impact

- The Senior Software Engineer will lead the design, architecture, build, deployment, and ongoing support of complex AI Assistants, AI Agents, and automation solutions-leveraging ChatGPT-based copilots, Copilot Studio agents, and Power Automate workflows-while adhering to Food APAC AI CoE platform standards and guardrails. Deliverables typically span APIs and integration services, retrieval and vector-search pipelines, enterprise-scale LLMOps / AgentOps operational tooling, and intuitive front-end experiences for office users and plant operators.
  
  This role will work primarily within the Food APAC Digital Technology and Data team, owning and shaping solutions across the Food APAC technology stack that serve internal teams and customers. The Senior Software Engineer will act as a technical leader and trusted partner to the business Product Owner, translating complex product requirements into secure, scalable, observable, and cost-efficient services or agents; managing the lifecycle from experiment to production; and proactively improving reliability, latency, performance, and cost.

Key Accountabilities

Lead development of Agentic AI workflows, AI assistants, and multi-agent automation solutions.
Design scalable Python microservices, APIs, LLM, RAG, and vector search architectures.
Implement prompt engineering, response grounding, caching, and performance optimization strategies.
Drive testing, debugging, security, reliability, and production support for AI applications.
Own monitoring, observability, incident management, and operational excellence practices.
Collaborate with cross-functional teams to deliver business-focused AI solutions.
Ensure adherence to enterprise architecture, governance, cybersecurity, and Responsible AI standards.
Strong expertise in Python, cloud-native technologies, APIs, CI/CD, containerization, LLM/RAG frameworks, vector databases, and AI platforms such as Copilot Studio, ChatGPT, Power Automate, Salesforce, and Service Cloud.

Qualifications

Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.

• Typically reflects 4 years or more of relevant experience, including 3+ years working with cloud-native AI/ML or GenAI systems on Azure, AWS, or GCP, or 2+ years of software development experience.

About Cargill

Cargill provides food, ingredients, agricultural solutions and industrial products to nourish the world in a safe, responsible and sustainable way.

Size: 10,000+ employees
Industry: Natural Resources: Agriculture and Food Processing

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