3 hours ago
Bengaluru, IndiaSenior
Responsibilities
- Architect and deliver scalable backend solutions using modern Python frameworks.
- Design, build, and integrate LLM-powered features including RAG pipelines, AI agents, and tool or function calling.
- Design and maintain RESTful and optionally GraphQL APIs.
- Build event-driven systems and manage distributed or background job processing.
- Oversee cloud deployments and infrastructure on Azure and GCP.
- Implement CI/CD, observability, and cost and performance optimization for AI workloads.
- Lead cross-functional teams, mentor engineers, and uphold high engineering standards.
Requirements
- Deep expertise in Python-based backend development and cloud-native application delivery.
- Experience with FastAPI, Flask, API design, asynchronous programming, event-driven systems, and background jobs.
- Experience with SQL, PostgreSQL, MySQL, and SQLAlchemy.
- Experience with React, JavaScript, HTML5, and CSS3.
- Experience with Azure, GCP, Docker, Kubernetes, Git, Terraform, and Pytest.
- Experience integrating OpenAI, Google Gemini, Anthropic Claude, Azure OpenAI, or Vertex AI.
- Experience with prompt engineering, AI agents, RAG, embeddings, retrieval strategies, and vector databases.
- Experience with AI frameworks and tools such as LangChain, LangGraph, Google ADK, LlamaIndex, and MCP.
- Preferred experience with LLM operations and evaluation, model tuning, data pipelines, queues, streaming responses, API hardening, message brokers, security and governance, and testing or quality tooling.
Tech Stack
Apache KafkaAzureDockerFastAPIFlaskGitGoogle Cloud PlatformGraphQLJavaScriptKubernetesMySQLPandasPostgreSQLpytestPythonRabbitMQReactRedisSQLTerraform
Categories
About 66degrees
66degrees is an AI and cloud consultancy that designs and implements data, analytics, and generative AI solutions on Google Cloud for enterprises. The company provides advisory, engineering, and managed services for cloud migration and data modernization. Founded in 2009 and headquartered in Chicago, it focuses on turning enterprise data into operational outcomes across the Google Cloud stack.