Collaborate with stakeholders to understand business needs and translate them into detailed requirements and agent specifications.
Analyze and document existing process to identify areas for improvement and automation.
Create and maintain comprehensive documentation, including requirements, system design, and user manuals.
Design, develop, and deploy basic autonomous AI agents using generative AI tools and frameworks such as Gemini Enterprise and Copilot.
Integrate AI agents with existing business software, tools, and APIs.
Review test plans to ensure the quality and reliability of AI agent outputs against expected business outcomes.
Coordinate with users to conduct User Acceptance Testing (UAT) and obtain sign-off for deployment.
Oversee the rollout and deployment of AI agents into production environments.
Act as the primary point of contact for stakeholders, providing regular updates on project progress.
Communicate complex concepts, process and solutions to both technical and non-technical audiences.
Manage stakeholder expectations and ensure that the final solution meets their needs.
Collaborate with development team to translate business needs to requirements.
Foster a culture of innovation, collaboration, and continuous learning within the team.
Stay up-to-date with the latest advancements in generative AI, machine learning, and related technologies.

Requirements

5+ years of experience as a Systems Analyst and a 2+ years focus as an AI Developer.
Proficiency in AI tools and frameworks such as Gemini Enterprise and Copilot.
Experience fine-tuning transformer models using frameworks such as PyTorch.
Familiarity with vector databases (e.g., Pinecone, FAISS, Weaviate, Chroma) and RAG pipelines.
Strong grasp of prompt engineering, model evaluation, and RLHF or feedback learning methods.
Understanding of cloud-native ML deployment (Docker, Kubernetes, Vertex AI pipelines).

Benefits

Health insurance
Professional development opportunities

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

AI developmentgenerative AItransformer modelsprompt engineeringmodel evaluationRLHFcloud-native ML deploymentDockerKubernetesvector databases

Soft skills

collaborationcommunicationstakeholder managementinnovationcontinuous learningdocumentationuser acceptance testingproject managementanalytical thinkingproblem-solving