Senior Agentic AI Engineer
New
W
Weekday AIArtificial Intelligence
Remote (India)Full-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 6+ years
- Required Skills
- PythonKubernetesPyTorchTensorflowMLOpsGenerative AILangChain
Requirements
- 6+ years in traditional ML, including 2+ years hands-on with Generative AI.
- Strong experience with LLMs (GPT and similar), prompt engineering, and agentic systems.
- Real-world experience with LangChain and LangGraph or similar agentic frameworks.
- Strong Python skills, including API wrappers and internal tooling.
- Solid foundation in Transformers, CNNs, and RNNs with experience using TensorFlow, PyTorch, or Scikit-learn.
- Experience with NLP, embedding models, and vector databases.
- Hands-on work with OpenAI, Llama/Llama2, and Azure OpenAI.
- Experience designing distributed, cloud-native architectures including microservices and REST APIs.
- Proficiency with AWS, Azure, or GCP, plus Docker and Kubernetes.
- MLOps/LLMOps experience covering training, deployment, and lifecycle management.
- Bachelor's or Master's degree in CS, Data Science, Engineering, Math, Statistics, or a related field.
Responsibilities
- Architect and build scalable Generative AI and agentic AI applications end to end.
- Design LLM-powered workflows and prompt strategies for reflexive, self-learning, multi-agent systems.
- Build intelligent AI agents using LangChain and LangGraph for use cases like NL-to-SQL and RAG pipelines.
- Select, customize, fine-tune, and optimize state-of-the-art LLMs.
- Design and own full ML/GenAI pipelines including training, deployment, and monitoring.
- Build APIs, microservices, and integration frameworks for enterprise products.
- Champion responsible AI practices regarding hallucinations, bias, and reliability.
- Partner with customers, product, and engineering teams to define AI architecture.
- Mentor engineers and help shape long-term AI platform strategy.
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