workable
Gen AI Engineer
Tiger Analytics Inc.
Remote, CAN
Full-time
Senior · 7+ years experience
Remote
Discovered 3 weeks ago
AWSAWS BedrockPythonOpenAI APIJSONPinecone
Free
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Key Skills for This Role
AWSAWS BedrockPythonOpenAI APIJSONPinecone
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Key Requirements
- Experience: Minimum of 7+ years of professional experience in software development and AI engineering.
- Generative AI Integration: Hands-on experience integrating Generative AI/LLM APIs, AWS Bedrock, and other model providers.
- Infrastructure & DevOps: Experience with DevOps, CI/CD pipelines, and ML pipelines within the AWS ecosystem.
- Agentic AI: Exposure to building Gen AI/Agentic AI applications, managing efficiency, latency, and backend infrastructure.
- Technical Standards: Strong Python programming skills with a deep understanding of OpenAI API standards, JSON RESTful design, and LLM orchestration.
- Preferred Skills: Experience working with Bedrock Agent/Core services is a significant plus.
- Core Focus Areas & Expectations
- Candidates will be expected to demonstrate deep technical proficiency in the following areas:
1. Retrieval-Augmented Generation (RAG)
Ability to design and implement end-to-end RAG pipelines, including retrievers, vector stores (e.g., Pinecone, Weaviate, or pgvector), and generators.
Expertise in latency optimization and relevance tuning to ensure production-grade performance.
Strategic approach to document chunking and embedding, balancing granularity with semantic coherence.
2. Agent Development
Practical experience developing autonomous or semi-autonomous agents using frameworks such as LangChain, CrewAI, or Semantic Kernel.
Ability to manage orchestration, tool integration, and robust error handling for non-deterministic AI outputs.
Proficiency in managing memory and context (episodic vs. long-term) in multi-turn interactions and external API interfacing.
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