As a Junior Agentic AI Developer, you'll build an intelligent Data Quality Agent that validates Excel data, detects anomalies, and explains issues using local LLMs. This role emphasizes AI-driven workflows over repetitive RPA scripting: you’ll design autonomous processes with LangGraph, Ollama, Pandera/Great Expectations, and Scikit-learn to deliver end-to-end Excel validation and automated reporting. Apply now to build smarter validation solutions.
What You’ll Work On
Build an AI-first Data Quality Agent that replaces repetitive RPA scripting with autonomous, agentic workflows.
- LangGraph-powered Agent: Build a LangGraph-powered Agent for Excel data validation that orchestrates intelligent checks and decision-making.
- Ollama (Local LLM): Integrate Ollama (Local LLM) so the agent can generate contextual explanations for detected issues directly on the local environment.
- Data validation rules: Implement data validation rules using Pandera / Great Expectations to enforce schema, constraints, and quality checks on Excel ingestion.
- ML models (Scikit-learn): Apply ML models (Scikit-learn) for anomaly & variance detection to surface outliers and unexpected patterns in spreadsheet data.
- AI-driven workflows: No repetitive RPA scripting — you’ll design AI-driven workflows that think for themselves and handle validations intelligently.
- Automation: Automate reporting & email notifications end-to-end so detected issues are summarized and communicated without manual intervention.
What You’ll Learn and Skills You’ll Gain
Develop practical expertise across agentic AI design, local LLM integration, validation frameworks, ML-based anomaly detection, and automation pipelines.
- Agentic AI & LangGraph: Design autonomous AI workflows using LangGraph to coordinate validation, detection, and explanation tasks.
- Local LLM Integration: Work with Ollama to run models locally and produce contextual, explainable outputs tied to Excel anomalies.
- MLOps Exposure: Integrate ML models into production pipelines for continuous anomaly and variance detection.
- Full Automation Flow: From Excel ingestion to intelligent email alerts—build and maintain the end-to-end automation using FastAPI Automation where applicable.
- Skills You’ll Gain:
- Agentic AI Design
- LangChain / LangGraph
- Local LLM (Ollama)
- Data Validation (Pandera, Great Expectations)
- ML Anomaly Detection (Scikit-learn)
- FastAPI Automation
- Apply Now: HR Portal: smaranai.in/hr Ref: unstop-AAI-POC
- Interview Schedule on WhatsApp: wa.me/916282677898?text=unstop-AAI-POC
- Follow us: https://www.linkedin.com/company/smaran-ai-in/?viewAsMember=true
Build a LangGraph-powered Data Quality Agent that validates Excel, detects anomalies via Scikit-learn, enforces rules with Pandera/Great Expectations, explains issues using Ollama locally, and automates reporting and email alerts. This Junior Agentic AI Developer role teaches agentic AI design, local LLM integration, MLOps exposure, and full automation flow—apply via the HR portal to join and start delivering intelligent, self-driving workflows.
