Python Lead & Gen AI

Commergence; San Ramon (CA); On-site; USD 170,000 - 230,000; Full time

Job summary

Commergence in San Ramon, CA is seeking a senior Lead Python Engineer to own and extend an AI-driven platform for customer support. You will build a Python/FastAPI service connecting Gladly, Sierra AI, Zoho CRM, and Shopify, and lead AI agent interactions with customer queries.

The role requires hands-on development of LLM integrations, serverless backend on AWS, and frontend dashboards with React/TypeScript. You will collaborate across teams to ensure scalable, reliable AI-powered experiences.

Qualifications

• Proficient in Python FastAPI with async/await and pytest.
• Experience with AWS Lambda, SQS, DynamoDB, Secrets Manager.
• Experience integrating LLMs (OpenAI and AWS Bedrock) and prompt engineering.

Responsibilities

• Own and extend the AI-powered platform for customer support operations.
• Build event-driven serverless backend using AWS Lambda and SQS.
• Develop integrations with Gladly, Sierra AI, Shopify, Zoho CRM, and SimpleSat.

Skills

Python FastAPI

async/await

Pydantic

pytest

LLM integration

prompt engineering

Sentence embeddings

semantic similarity

React TypeScript

Tools

AWS Lambda

SQS

DynamoDB

Secrets Manager

Job description

Job Title: Lead Python Engineer & Gen AI
Location: San Ramon, CA(Onsite)
Duration: 12 Months

Job description:

We’re looking for a senior engineer to own and extend the platform that powers customer support operations, an AI-driven Python/FastAPI service connecting Gladly, Sierra AI, Zoho CRM, and Shopify.

What you’ll build:

• AI conversation classification pipelines using OpenAI GPT-4o, AWS Bedrock, and sentence embeddings (BGE/SentenceTransformers)
• Event-driven serverless backend on AWS Lambda SQS
• Integrations with Gladly, Sierra AI, Shopify (GraphQL REST), Zoho CRM, and SimpleSat
• Analytics reporting via New Relic NRQL with a React/TypeScript dashboards
• Develop and Maintain Gladly Configurations and customizations and build tools to help agents
• develop, configure & test AI agent to interact with customer queries.

Required skills:

• Python FastAPI, async/await, Pydantic, pytest
• AWS Lambda, SQS, DynamoDB, Secrets Manager
• LLM integration OpenAI SDK, AWS Bedrock, prompt engineering
• Sentence embeddings & semantic similarity (SentenceTransformers, cosine scoring)
• SaaS REST API integrations (Gladly, Shopify, or similar)
• React TypeScript

Nice to have:

• New Relic NRQL
• K6 load testing / TypeScript automation scripts
• SAML2 / auth middleware