Senior AI Engineer

TechDigital Group; Los Angeles (CA); On-site; USD 130,000 - 160,000; Full time

Job summary

TechDigital Group is seeking a senior AI engineer to design and build production-grade LLM-powered applications and agentic systems. This role involves end-to-end development and requires strong Python expertise, along with hands-on experience in AI systems and architecture.

Successful candidates will architect and implement intelligent solutions, ensuring reliability and performance. Ideal candidates should also have experience working with RAG architectures and vector databases. This role is based in Los Angeles, California.

Qualifications

• Strong Python expertise with experience building and deploying production-grade backend systems.
• Hands-on experience developing applications using LLMs, including prompt engineering and orchestration.
• Proven experience with RAG architectures, embeddings, and vector databases.
• Experience with agentic frameworks (e.g., LangChain, LangGraph, AutoGen).
• Strong system design skills with experience building and scaling cloud-based applications.

Responsibilities

• Architect and deliver end-to-end LLM-powered applications and agentic workflows using Python.
• Design and implement RAG pipelines over enterprise data using embeddings and vector databases.
• Build multi-step, tool-using agents using frameworks such as LangChain or LangGraph.
• Integrate AI systems with APIs, backend services, and cloud platforms.
• Establish evaluation, reliability, and performance strategies.

Skills

Python

JavaScript

RAG architectures

Embeddings

Vector databases

LangChain

LangGraph

Job description

Job Description / Responsibilities

Role Overview: We are seeking a senior AI engineer to design and build production‑grade LLM‑powered applications and agentic systems. This role owns the end‑to‑end development of intelligent solutions—from architecture to deployment—leveraging Python, modern LLM frameworks, and scalable system design.

Key Responsibilities

• Architect and deliver end‑to‑end LLM‑powered applications and agentic workflows using Python.
• Design and implement RAG pipelines over enterprise data using embeddings and vector databases.
• Build multi‑step, tool‑using agents (planning, execution, memory) using frameworks such as LangChain or LangGraph.
• Integrate AI systems with APIs, backend services, and cloud platforms.
• Establish evaluation, reliability, and performance strategies (accuracy, latency, cost).

Key Qualifications

• Strong Python expertise with experience building and deploying production‑grade backend systems.
• Hands‑on experience developing applications using LLMs, including prompt engineering and orchestration.
• Proven experience with RAG architectures, embeddings, and vector databases.
• Experience with agentic frameworks (e.g., LangChain, LangGraph, AutoGen).
• Strong system design skills with experience building and scaling cloud‑based applications.

Top 3 Skills Required for this Role

1. Strong programming experience in Python and JavaScript.
2. Strong experience with LangGraph, LangChain, RAG architectures, embeddings, and vector databases.
3. Strong experience with AI systems with APIs, backend services, and cloud platforms.