Senior AI Engineer

Talentify; Los Angeles (CA); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Health benefits

Referral program

Growth opportunities

Job summary

Talentify is seeking a Senior AI Engineer in Woodland Hills, CA with a hybrid work setup. You will design and build production-grade LLM-powered applications, architect end-to-end AI workflows, and implement RAG pipelines across enterprise data.

Strong Python/JavaScript skills and experience with LangChain, LangGraph, and cloud integration are required. The role focuses on tooling agents, API integration, and scalable backend systems, with emphasis on performance, reliability, and cost

Qualifications

• Strong programming experience in Python and JavaScript.
• Experience with LangGraph, LangChain, RAG architectures and embeddings.
• Experience integrating AI systems with APIs, backend services, and cloud platforms.
• Hands-on development of production-grade backend systems with LLMs.
• Prompt engineering and orchestration for LLM-based apps.

Responsibilities

• Design and build production-grade LLM-powered applications and agentic systems from architecture to deployment.
• 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 LangChain or LangGraph.
• Integrate AI systems with APIs, backend services, and cloud platforms.
• Establish evaluation, reliability, and performance strategies (accuracy, latency, cost).

Skills

Python

JavaScript

LangGraph

LangChain

RAG architectures

Embeddings

Vector databases

APIs

Cloud platforms

System design

Tools

LangChain

LangGraph

AutoGen

Job description

Our client, a IT Services and Consulting company, is looking for a Senior AI Engineer for their Woodland Hills, CA/Hybrid location.

Responsibilities:

• 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.
• 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)

Requirements:

• Strong programming experience in Python, Javascript.
• Strong exp with LangGraph, LangChain, RAG architectures, embeddings, and vector databases.
• Strong exp with AI systems with APIs, backend services, and cloud platforms.
• 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
• 8.00 Years of Experience

Skills:

• Category Name Required Importance
• Databases Vector Databases Yes 1
• DXDE_NEW Large Language Model (LLM) Yes 1
• IDE Application Architect API Yes 1
• Software Skills Python Yes 1
• Web Development Javascript Yes 1

Why Should You Apply?

• Health Benefits
• Referral Program
• Excellent growth and advancement opportunities