Full-Stack AI Engineer

Job not on LinkedIn

🕒 June 16

Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of CES Family of Companies

CES Family of Companies

51 - 200 employees

🤝 B2B

🛍️ eCommerce

B2B • eCommerce • Food & Beverage

CES Family of Companies is a collection of strong brands focusing on providing food equipment, supplies, and services across the Midwest. The company serves a variety of food-related markets, including restaurants, grocery stores, convenience stores, and meat processing facilities. By maintaining independent brands while sharing best-in-class resources, CES Family of Companies aims to enhance customer value and operational efficiency in the foodservice industry.

📋 Description

• Design and implement AI/GenAI features across applications and SDLC workflows • Build AI solutions using platforms like Azure AI Foundry and LLM APIs • Develop agent-based workflows using frameworks such as LangChain, LangGraph, or Semantic Kernel • Implement RAG-based solutions and prompt engineering strategies • Leverage GitHub Copilot for AI-assisted development and productivity • Build full-stack applications using Python, JavaScript/TypeScript, and/or C# (.NET) • Develop APIs, backend services, and integrate with databases (SQL/NoSQL) • Ensure application quality through testing, monitoring, and observability • Collaborate with cross-functional teams (product, UX, data science) • Troubleshoot and optimize AI models, pipelines, and integrations

🎯 Requirements

• 3+ years of full-stack software development experience • 1–2 years of experience in AI/LLM-based application development • Hands-on experience with AI platforms (Azure OpenAI, OpenAI, or similar) • Knowledge of RAG, embeddings, and vector databases • Experience with AI orchestration frameworks (LangChain, Semantic Kernel, etc.) • Strong programming skills in Python (preferred) and/or JavaScript/C# • Experience with REST APIs and database systems (SQL & NoSQL) • Familiarity with GitHub Copilot or AI-assisted development tools • Strong problem-solving and communication skills • Experience working in Agile environments

🏖️ Benefits

• Flexible working hours to create a work-life balance. • Opportunity to work on advanced tools and technologies. • Global exposure to not only collaborate with the team, but also to connect with the client portfolio and build professional relationships. • Highly encouraged for any innovative ideas & thoughts and we support in executing the same. • Periodical and on-spot rewards and recognitions on your performance. • Provides a better platform for enhancing skills via many different L&D programs. • Enabling and empowering atmosphere to work along.

Apply Now

Similar Jobs

🕒 June 16

Blue Orange Digital

51 - 200

🤖 Artificial Intelligence

🤝 B2B

🏢 Enterprise

Senior AI Engineer at Blue Orange Digital designing modern data platforms and AI solutions for enterprise clients. Developing machine learning capabilities and actionable insights from complex data.

🕒 June 15

Arize AI

51 - 200

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

Forward Deployed AI Engineer collaborating with enterprise AI teams, designing and scaling production-grade GenAI solutions. Leading technical discussions and managing multiple customer engagements.

🕒 June 12

CrowdStrike

5001 - 10000

🔒 Cybersecurity

☁️ SaaS

🤖 Artificial Intelligence

Lead AI Engineer developing agentic AI solutions for CrowdStrike's GTM applications. Overseeing engineering delivery, mentoring engineers, and implementing automation in AI systems.

🕒 June 12

Zeus

1001 - 5000

⚕️ Healthcare Insurance

🧬 Biotechnology

AI Engineer responsible for designing AI solutions to enhance manufacturing workflows at Zeus Industrial Products. Collaborating with data scientists and stakeholders to operationalize AI integrations.

🕒 June 12

MeridianLink

501 - 1000

💳 Fintech

🏦 Banking

☁️ SaaS

Senior Product Manager responsible for AI platform strategy and execution in B2B lending SaaS environment. Collaborating with cross-functional teams to enhance product capabilities and developer experience.