Overview
Skills
Job Details
Responsibilities
-
Design, develop, test, and document AI-driven software solutions.
-
Build and fine-tune Generative/Agentic AI models (LangChain, Google ADK, Azure OpenAI).
-
Integrate Google AI SDK and vector databases for semantic search and retrieval.
-
Develop data pipelines and RAG (Retrieval-Augmented Generation) systems.
-
Implement anomaly detection, reporting dashboards, and AI assistants.
-
Ensure performance, scalability, and security of AI systems.
-
Collaborate with SMEs to align solutions with regulatory requirements.
-
Strong programming skills in Python and SQL.
-
AI & ML: LangChain, LangGraph, Semantic Kernel, Google ADK, Azure OpenAI, Arize Phoenix, TensorFlow, PyTorch
-
Data Engineering: RAG pipelines, embedding models, vector DBs, unstructured data analytics
-
Cloud & Infra: Google Cloud Platform, OnPrem, Kubernetes, Docker, OpenShift
-
DevOps: CI/CD (Jenkins, Harness), Airflow, Autosys
-
Languages & Tools: Python, SQL, PySpark, BigQuery
-
Development Practices: Test-Driven Development, automated ML workflows