Full Stack Gen AI Engineer

Job Description

We are looking for a highly skilled Full Stack Gen 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.

• Experience: Minimum of 7+ years of professional experience in software development and AI engineering.
• API & Backend: Expert in building high-performance API / microservices using Python (FastAPI) deployed on AWS Fargate (ECS) (Most Critical).
• Generative AI Integration: Hands-on experience integrating Generative AI/LLM APIs, AWS Bedrock, and other model providers.
• Infrastructure & Dev Ops: Experience with Dev Ops, 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.

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 Lang Chain, 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.

3. Evaluation and Optimization

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

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. Every individual comes with a different set of skills and qualities, so even if you don’t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow.