Python Engineer

The candidate will have responsibilities across the following functions:
Python and Backend Development:
Strong hands-on experience with Python.
Experience developing REST APIs and backend services.
Good understanding of Flask or similar Python backend frameworks.
Strong problem-solving and debugging skills.
Understanding of Data Structures and Algorithms.
Generative AI and LLMs:
Strong understanding of Generative AI and LLM concepts.
Hands-on experience with LLM integration and API-based model interaction.
Strong knowledge of Prompt Engineering.
Experience building AI Agents / Agentic AI applications.
Understanding of multi-agent architectures and workflows.
RAG and Vector Databases:
Hands-on experience building RAG architectures.
Experience with embeddings and embedding models.
Experience with Vector Databases.
Strong understanding of semantic search and document retrieval.
Experience with document ingestion, chunking, indexing, retrieval, and context generation.
GCP and Production Deployment:
Experience working with Google Cloud Platform (GCP).
Exposure to deploying AI/backend applications in staging and production environments.
Understanding of GCP service accounts, CI/CD, deployment, monitoring, and production support.
Experience building scalable and reliable cloud-based applications.
SQL and Data/ML Fundamentals:
Strong SQL skills and experience with relational databases.
Hands-on experience with Pandas and NumPy.
Strong data manipulation and transformation skills.
Understanding of basic ML algorithms such as Logistic Regression and Random Forest.
Understanding of concepts such as cosine similarity, embeddings, and vector search.
Requirements:
Hands-on experience with LangGraph, LangChain, or LangX.
Experience building complex agentic workflows and multi-agent systems.
Experience with GCP, deployments, service accounts, CI/CD, and working with staging/production environments.
Experience integrating enterprise APIs such as JIRA, Zephyr, and Salesforce APIs.
Experience with LLM evaluation, AI quality assessment, test-data generation, and evaluation datasets.
Exposure to post-deployment AI validation and monitoring.
Experience with Google Sheets/spreadsheet automation where required.
Preferred:
3+ years of relevant experience in Python, Backend Engineering, Generative AI, AI/ML Engineering, or Data Engineering.
Good understanding of Model Context Protocol and integrating AI agents with enterprise tools.
Experience developing or integrating backend services using Golang.
Candidates with strong hands-on/project experience in LLM applications, RAG, AI Agents, and Python development.

Experience
3-4 yrs