Notes:
3+ years Gen AI experience
2-5 year's experience of java
3 years of experience of python
Genetic AI resource with application background work
Develop models based on the uses, strong python, entire data scientist role
Working with data team
Data scientist and do not have application background
Java background, web services background
Spring framework and Spring boot is highly preferred
Job Description:
The Agentic AI Engineer will collaborate with data Scientists to build and deploy AI agents to both automate and optimize labor-intensive workflows.
The tasks of the Agentic AI Engineer will include writing software code to support AI agent communication, connecting models and agents to external/internal services via API calls, support testing and debugging tasks, deployment into target environments, setting up monitoring, and ensuring reliable execution of agentic AI systems.
They will utilize a combination of open-source models, agentic tools, and large proprietary commercial models.
They will be securing agentic workflows and to evaluating the results for accuracy, performance, and impact.
They will be expected to ensure AI systems adhere to ethical guidelines, transparency, and fairness principles.
They should be a self-starter while also working well within the team, collaborating and sharing discoveries and seeking feedback.
They should expect they may conduct research, develop prototypes, evaluate and document results.
Skills:
3+ years of experience building production-level AI or ML systems, including LLMs, agents, or complex automation frameworks
3+ years of experience with Python and Python tools, including Pandas or NumPy
Experience with Large Language Models ( LLMs), Machine Learning (ML), Deep Learning (DL), and Reinforcement Learning (RL)
Good understanding and experience working with Natural Language Processing (NLP)
Experience with tools and AI agent frameworks such as TensorFlow, PyTorch, LangGraph, or LangChain
Experience in resolving workflow problems through automation optimization
Experience in connecting Agents to APIs, Cloud platforms, or databases
Ability to work with automated testing tools to perform testing and maintenance
Experience with Software Development Lifecycle (SDLC), such as DevSecOps
Experience with Cloud Service Providers such as Amazon Web Services (AWS)
Experience with developing REST services with Java and Spring Boot
Experience with the administration of continuous integration and continuous deployment ( CI / CD ) pipelines using Kubernetes, Docker, or Jenkins
Preferred experience working with GitHub and other collaborative development platforms.
Regards,
Shubham Gupta
Sr Recruitment Manager
Phone: (215) 249-7261