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.