AI Engineer (Agentic Systems)
Jobgether
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This role on the market
746 open agentic roles across 173 companies are on ApplySarthi right now, most of them in Bengaluru (54), Hyderabad (20), Delhi NCR (12).
- Software Engineer III - Agentic AI, Java/PythonJPMorgan
- Sr. Staff Software Engineer, Agentic ApplicationsDatabricks
- Project Manager Sr Lead, PMO Agentic AIFis
- Agentic AI Software EngineerTrimble
- AI Research Engineer (Agentic Reinforcement Learning) - 100% Remote WorldwideTether Operations Limited
What agentic roles keep asking for: LLMs (51%), Python (48%), Observability (36%), AWS (34%), Generative AI (27%), RAG (24%), C++ (23%), System design (23%) — counted across their open postings here.
AI Engineer jobs in Canada · Remote AI Engineer jobs · Deep learning jobs · Machine learning jobs · Observability jobs · Python jobs
Jobgether has 3,757 open roles listed here.
- Associate Business Intelligence Analyst
- AWS Security Specialist
- Bilingual Client Satisfaction Coordinator
- Business Development Manager
- Business Development, AI Platform
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for agentic roles keep coming back to LLMs, Python, Observability, AWS. Practise those questions before you sit with Jobgether.
Questions you are likely to be asked
- Why do you want to join Jobgether?
- What is your experience with Machine learning? Tell me one thing you learned the hard way.
- Tell me about a time the data was messy or wrong. What did you do?
- How would you explain your model's result to someone who is not technical?
- What would you check first if a model's accuracy dropped after going live?
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Practise the AI Engineer (Agentic Systems) at Jobgether interview free →Accountabilities: Architect, develop, and deploy complex agentic systems, including orchestration, tool use, memory, and state management. Build production-grade AI and machine learning systems using Python. Design, train, evaluate, and continuously improve machine learning and deep learning models. Apply strong foundations in statistics, optimization, and machine learning to solve complex real-world problems. Develop scalable AI solutions that work with structured and unstructured data. Establish and improve AI evaluation, observability, reliability, and infrastructure practices. Translate emerging AI research and techniques into functional prototypes and practical applications. Apply critical thinking and product judgment to identify opportunities, overcome technical challenges, and deliver effective solutions. Requirements: Degree in Computer Science, Engineering, or a related technical discipline. Strong Python programming skills and experience building production-grade AI/ML systems. Demonstrated experience architecting complex agentic systems, including orchestration, tool integration, memory, and state management. Strong theoretical and practical knowledge of machine learning, deep learning, statistics, and optimization. Experience designing, training, evaluating, and improving machine learning models. Familiarity with AI evaluation, observability, system reliability, and scalable infrastructure. Ability to rapidly translate cutting-edge research into working prototypes. Excellent problem-solving skills, strong product instincts, and a proactive, action-oriented mindset. Nice to have: Knowledge of data privacy, permission-aware AI systems, and secure AI architecture. Benefits: Competitive compensation. Opportunity to work on challenging, innovative projects aligned with your interests and skills. A culture that encourages accountability, autonomy, and ownership rather than micromanagement. Exposure to advanced AI challenges and collaboration with experienced engineers and data scientists.
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Listed on lever · posted 2026-11-03. ApplySarthi collects openings and links to application pages; the role is advertised by Jobgether, not by us.