3 days ago

AI Developer

RemoteHunter

Hybrid
Full Time
$105,000
Hybrid

Job Overview

Job TitleAI Developer
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$105,000
LocationHybrid

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Job Description

About the Opportunity:

An organization is hiring an AI Developer for a full-time, permanent, fully remote position open to US-based candidates only. The role focuses on building enterprise-grade AI-driven applications using Java, Python, Generative AI, LLMs, RAG, and MCP. The developer will collaborate with cross-functional teams to deliver scalable, secure AI solutions.

Responsibilities:

  • Design, develop, and maintain backend services and AI agents using Java and/or Python
  • Build and optimize Generative AI applications, including prompt engineering, Retrieval-Augmented Generation (RAG), and agentic workflows (multi-agent orchestration, tool usage, memory management)
  • Implement Model Context Protocol (MCP) to standardize AI interactions with external tools, databases, and services
  • Integrate LLMs with enterprise data systems to enable scalable and secure AI solutions
  • Work with vector databases (e.g., FAISS, Pinecone, Weaviate) for semantic search and context retrieval
  • Collaborate with product managers, researchers, and engineers to translate AI roadmap goals into technical deliverables

Requirements:

  • Strong programming skills in Java and/or Python
  • Solid understanding of Generative AI concepts, including prompt design and optimization, RAG pipelines, document chunking strategies, and agentic workflows (e.g., LangChain agents, tool calling)
  • Experience with LLM APIs such as OpenAI, Anthropic, or similar platforms
  • Familiarity with open-source models like LLaMA, Mistral, or equivalents
  • Hands-on experience implementing MCP for scalable and standardized AI-to-tool integrations
  • Knowledge of RESTful APIs, microservices architecture, and cloud platforms (AWS, Azure, or GCP)

Benefits & Perks:

  • Support for diversity and inclusion with a diverse workforce including over 40% women and about 120 nationalities
  • Internal rotation and international mobility opportunities to grow career
  • Clear career progression within a rapidly growing engineering organization
  • Flexible and casual work culture with employee events and amenities
  • 401k plan with employer matching contributions
  • Competitive healthcare benefits with HSA matching
  • Access to a Learning & Development platform featuring courses, labs, mentorship, and certifications
  • Corporate Wellness Program covering gym memberships and rewards for attendance
  • Bonuses through Client Referral and Employee Referral Programs
  • Recognition platform offering bonuses and spot awards for achievements
  • Employee Perks program providing discounts on travel, electronics, and more

Compensation:

The salary range for the AI Developer role is $100,000 to $110,000.

Key skills/competency:

  • Generative AI
  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • Java
  • Python
  • Model Context Protocol (MCP)
  • Prompt Engineering
  • Vector Databases
  • Microservices
  • Cloud Platforms

Tags:

AI Developer
design
develop
maintain
optimize
implement
integrate
collaborate
prompt engineering
agentic workflows
semantic search
Java
Python
Generative AI
LLMs
RAG
MCP
vector databases
OpenAI
Anthropic
LLaMA
RESTful APIs
microservices
AWS
Azure
GCP

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How to Get Hired at RemoteHunter

  • Research RemoteHunter's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your AI Developer resume: Customize your resume to highlight experience with Java, Python, Generative AI, LLMs, and RAG, matching job requirements precisely.
  • Highlight Generative AI expertise: Showcase projects or experience with prompt engineering, RAG pipelines, and agentic workflows to demonstrate deep AI understanding.
  • Prepare for technical interviews: Practice coding challenges in Java/Python and be ready to discuss your experience with AI architectures, vector databases, and cloud platforms.
  • Showcase problem-solving skills: Be prepared to discuss how you've solved complex technical problems, especially those involving AI integration and data security, during your interviews.

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