RETAiLABS - AI Engineer/Developer - LLM Apps

Description: We are looking for an AI Engineer / Developer who can design, build, and scale LLM-powered applications and intelligent systems. You will work closely with product, data, and engineering teams to build agentic systems, RAG pipelines, and real-time AI infrastructure.

Key Responsibilities:

- Design and build LLM-based applications (RAG, agents, copilots)

- Develop end-to-end AI pipelines (data ingestion ? embedding ? retrieval ? generation)

- Build and optimize real-time AI systems with low latency

- Work on agent orchestration frameworks (multi-agent workflows, tool calling)

- Implement context management systems (memory, session state, knowledge graphs)

- Integrate AI systems with APIs, databases, and frontend applications

- Optimize prompts, models, and pipelines for accuracy, cost, and latency

- Deploy scalable systems using cloud infrastructure (GCP/AWS)

Required Skills:

- Strong programming skills in Python (mandatory)

- Experience with LLMs (OpenAI, Claude, Gemini, etc.)

- Hands-on experience with :

1. RAG architectures

2. Vector databases (Pinecone, Pgvector)

3. Embedding models

- Solid understanding of :

1. APIs, microservices

2. Backend systems (Node.js / Python)

- Experience with Postgres / BigQuery / NoSQL systems

- Familiarity with prompt engineering and evaluation techniques

- Understanding of latency optimization in AI systems

Good to Have (High Impact):

- Experience with agent frameworks (LangChain, LlamaIndex, Mastra, etc.)

- Knowledge of streaming systems (Kafka, WebRTC, real-time pipelines)

- Experience building AI copilots / internal tools

- Exposure to frontend frameworks (React) for AI integration

What We Care About (Non-Negotiables) :

- Youve built and shipped real AI systems, not just experiments

- You think in systems, not just models

- You care about latency, reliability, and scalability

- You can work in a fast-moving, zero-bureaucracy startup environment

Why Join Us :

- Build cutting-edge AI products from scratch

- Work on real-world, high-scale problems

- High ownership and direct impact

- Opportunity to shape the core AI architecture of the company