Agentic AI Engineer
Weekday (company site, opens in a new tab)6+ yrsRemoteDirect career pageEst. 30–50 LPA
Posted on 11 Sept
Reach people at Weekday
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Weekday you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Architect and build end-to-end scalable Generative AI and agentic AI applications, including multi-agent LLM-powered workflows.
- Develop and own full ML/GenAI pipelines, including training, deployment, monitoring, and lifecycle management.
- Partner with customers and internal teams to translate business requirements into robust AI architectures and mentor engineers, influencing long-term AI platform strategy.
Minimum Requirements
- 6+ years in traditional ML with at least 2 years hands-on experience in Generative AI.
- Proficiency with LLMs (GPT and similar), prompt engineering, LangChain/LangGraph or similar agentic AI frameworks.
- Strong Python programming skills and experience with TensorFlow, PyTorch, Scikit-learn.
- Experience with cloud platforms (AWS, Azure, or GCP), Docker/Kubernetes, and MLOps/LLMOps workflows.
Ideal Candidate Profile
- Experienced in architecting and deploying enterprise-scale AI products in a customer-facing role bridging technical and non-technical stakeholders.
- Deep expertise in agentic AI systems, prompt design, vector databases, and distributed cloud-native architectures.
- Comfortable working in a startup-like environment with strong ownership and the ability to mentor and lead AI engineering efforts.