WinWire - Senior Engineer/Lead - Generative AI

Description :

Primary Skills :

- 3+ years of experience in Generative AI, LLMs, and AI/ML integration (OpenAI, Anthropic, or similar).

- 2 - 3 years of experience with RESTful APIs, microservices architecture, and AWS or cloud platforms.

- 2 - 3 years of experience in prompt engineering, RAG workflows, NLP, semantic search, and intent recognition.

- 2 - 3 years of experience with AI orchestration frameworks like LangChain, Semantic Kernel, or AutoGen.

- 2 - 3 years of experience with modern development frameworks and Python libraries.

- Strong understanding of SQL, NoSQL, and vector databases.

- Experience with Git, CI/CD pipelines, and DevOps practices.

- Knowledge of software design patterns and SOLID principles.

Roles & Responsibilities :

- Develop and integrate LLM-based applications using AWS and external APIs (OpenAI, Anthropic, etc.).

- Implement prompt engineering and Retrieval-Augmented Generation (RAG) workflows.

- Build semantic search, intent recognition, NLP pipelines, and recommendation systems using AWS services.

- Work with AI orchestration frameworks such as LangChain, Semantic Kernel, AutoGen, or similar.

- Design and develop RESTful APIs and microservices on AWS.

- Deploy AI/ML models and services using Amazon SageMaker, AWS Lambda, Amazon API Gateway

- Implement cloud-native architectures, CI/CD pipelines, and DevOps practices for AI solutions.

- Design and maintain SQL, NoSQL, and vector databases for AI workloads (e.g., Amazon DynamoDB, Amazon OpenSearch Service, Amazon RDS).

- Optimize data storage and retrieval for semantic search and RAG patterns.