Lead Agentic AI Engineer
Lead Agentic AI Engineer
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1 Vacancy
Job Description
Position: Lead Agentic AI Engineer
Location: Reston VA #HYBRID (2 to 3 days a week)
Duration: 6 months Contract
Panel interview one video and 2nd F2F
Rate: $80/hr
Job Description:
- 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.
- Must Have: Application background with Java Spring Webservices Spring Boot needed.
Must have 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.
Thanks & Regards
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LAXMAN
Team Lead - Talent Acquisition
KMM Technologies Inc.
CMMI Level 2 ISO 9001 ISO 20000 ISO 27000 Certified
Employment Type
Full-time
