Sr. AI Engineer – Agentic AI
- Integrate AI agents with enterprise APIs, databases and business systems securely.
28 days
5,000+ Ai Engineer Jobs - October 2026 - High Salaries - Page 26
Showing 6,158 jobs results for
"ai engineer"
Senior Software Engineer (AI Engineering)
- Work with data scientists, product engineers and users to enable new AI capabilities
10 days
Senior AI Engineer – Mathematical Reasoning
30+ days
- Process structured and unstructured data, and build foundational data infrastructure and knowledge bases for AI applications.
22 days
Senior Manager (AI Engineer) (Future Capabilities)
- Analyse the engineering trade-offs and choices, and articulate technical decision to the rest of the team to help them understand.
30+ days
- Build and optimize multimodal LLM applications for content generation and understanding, including product copywriting, semantic search recall, and business potential/CTR prediction.
26 days
- Design and implement LLM alignment and safety strategies (e.g., SFT, DPO) to mitigate risks such as implicit persuasion or psychological manipulation in personalized generation.
28 days
- Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.
10 days
Autonomous Driving, Robotics - Physical AI Engineer
- Prototype and assess physical AI approaches, including VLA-based methods, for tasks such as scene understanding, decision-making, and robot action.
29 days
AI Engineering
- Apply appropriate AI methods and techniques to solve business and technical problems.
21 days
- Team Leadership and Mentorship: Provide technical leadership, guidance, and mentorship to a team of AI engineers, fostering a culture of innovation and continuous improvement in agentic AI development.
24 days
Contract Staff AI Engineer [Full Stack Developer] (24 months)
- Operate and continuously improve AI solutions through monitoring, observability, troubleshooting, performance optimization, bug fixing, and change implementation.
24 days
Senior AI Engineer - AI Agents - RAG - Fine-Tuning
- Implement high-performance inference pipelines and monitor model performance in production. Collaborate with cross-functional teams to integrate AI services into products and internal platforms.
27 days
AI Engineer - data analyst- software engineer
- Develop and maintain scalable and robust AI infrastructure
30+ days
- Work with product and engineering teams to identify what is worth building, then build it quickly and improve it in production.
30+ days
Data AI Engineer
- Build data pipelines for extraction, transformation, embedding generation, and vector storage.
30+ days
- Engineer agent prompting and context management systems: system prompt architecture, dynamic context construction, prompt versioning, and evaluation-driven prompt optimisation using automated and human evaluation frameworks.
22 days
- Support the development of AI-enabled products from concept through delivery, with a focus on quality, usability, scalability, and responsible implementation
30+ days
- Technical Leadership. Define the technical roadmap and reference architectures for AI Engineering. Serve primary technical authority on design reviews, build-vs-buy decisions and technology adoption.
3 days
21 days
Head of AI Engineering
- Architect and scale enterprise-grade GenAI and Agentic AI solutions, including orchestration, RAG, tool use, memory, evaluation, safety and human oversight.
10 days
AI Engineering Intern
- Integrate agents with structured and unstructured data sources, equipping them with the right tools, memory, and retrieval layers to operate reliably
10 days
- Build and improve multimodal search capabilities by leveraging text, image, video, audio, user behavior, and other content signals.
18 days
- For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo .
25 days
AI Engineering Consultant
- Develop AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI frameworks.
18 days
- Involve and manage end-to-end solution cycle: discovery -> feature engineering -> Modelling/experimentation/POC/Pilot -> deployment -> Monitoring -> propose next steps
28 days
- Design and implement LLM alignment and safety strategies (e.g., SFT, DPO) to mitigate risks such as implicit persuasion or psychological manipulation in personalized generation.
28 days
- Build and optimize multimodal LLM applications for content generation and understanding, including product copywriting, semantic search recall, and business potential/CTR prediction.
26 days
AI Engineering Lead
- Engineering leadership and delivery: Lead a multidisciplinary team of full-stack developers and project managers, including offshore resources, to design, build, operate, and continuously improve AI-powered, web-based, and customer-facing digital applications.
14 days
AI Engineering Lead
- Engineering leadership and delivery: Lead a multidisciplinary team of full-stack developers and project managers, including offshore resources, to design, build, operate, and continuously improve AI-powered, web-based, and customer-facing digital applications.
14 days