Gen AI Engineer

About the role

We are looking for a highly skilled AI Engineer with 7+ years of experience in software engineering, with a heavy focus on Python, AWS infrastructure, and Generative AI. The ideal candidate will be responsible for building high-performance API services and implementing complex RAG and Agentic AI architectures.

Requirements

• Minimum of 7+ years of professional experience in software development and AI engineering
• Hands-on experience integrating Generative AI/LLM APIs, AWS Bedrock, and other model providers
• Experience with DevOps, CI/CD pipelines, and ML pipelines within the AWS ecosystem
• Exposure to building Gen AI/Agentic AI applications, managing efficiency, latency, and backend infrastructure
• 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

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

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

Evaluation and Optimization

• Familiarity with evaluation frameworks (e.g., RAGAS, TruLens) to assess performance, grounding accuracy, and hallucination detection
• Ability to iterate systems based on performance metrics and continuous improvement practices

Benefits

• Significant career development opportunities exist as the company grows
• Unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment
• High degree of individual responsibility