Job Description:

We’re seeking a skilled Backend Engineer to develop a web API for a GenAI web application. The ideal candidate should have a strong foundation in Python, experience with vector databases, and a solid understanding of LLMs. Knowledge of prompt engineering and LLM optimization for embeddings and inference is essential. A cloud-first mindset is required to ensure the application is both cost-effective and scalable.

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Core Skills:

• Proficient in Python and frameworks such as Flask, Django, LlamaIndex, and LangChain.

• Experience with vector databases (in-memory and persistent).

• Familiarity with LLMs, including their best use cases (e.g., embeddings vs. inference) and optimization for accuracy, speed, and cost.

• Understanding of prompt engineering strategies for effective model utilization.

• Cloud-native application development and deployment.

• Familiarity with OAuth2, JWT, or similar frameworks.

 

Desirable Skills:

• Experience with scalable architecture design.

• Knowledge of cost optimization techniques in cloud environments.

• Hands-on experience with containerization (Docker) and orchestration (Kubernetes).

• Familiarity with microservices and serverless architecture.

• Ability to execute performance tuning and monitoring, particularly for handling large datasets and ensuring low latency in semantic search queries.

 

Expectations:

• The engineer should have expertise in working with large datasets, embedding models, vector databases, semantic search, API development, and API security.

• The project should be approached with a focus on scalability, performance, cost-efficiency, security, and continuous improvement.

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