AI Engineer
Remote
Mar 26, 2025
Deployd
Competitive
Deployd is hiring an AI Engineer to build and integrate powerful, production-grade AI features for fast-growing startups and enterprise teams.
You’ll work across the full stack of modern AI — from building intelligent agents and RAG systems to designing pipelines that connect real-time data with GPT-based models.
What You'll Be Working On:
Designing and developing LLM-based features like search, classification, summarization, or document parsing
Building and optimizing Retrieval-Augmented Generation (RAG) pipelines
Integrating OpenAI, Claude, or open-source models into customer-facing or internal tools
Implementing vector databases (Pinecone, Weaviate, ChromaDB) and semantic search
Supporting custom chatbot/agent builds, internal copilots, and smart CRMs
Collaborating with prompt engineers and frontend devs to deploy usable tools
Ideal Experience:
3+ years in software or ML engineering, with 1+ year working on LLMs in production
Deep understanding of LLM behaviors, token limits, embeddings, and context management
Experience with LangChain, LlamaIndex, or other orchestration frameworks
Familiarity with OpenAI APIs, Anthropic, Mistral, or local models
Bonus: experience deploying with Replit, Bolt, Cursor, Windsurf or serverless frameworks
Strong documentation and communication skills — you're confident breaking down technical decisions for teams
Why This Role Matters:
Deployd helps teams ship faster by giving them access to pre-vetted AI specialists. As an AI Engineer, you’ll be shaping how real businesses adopt intelligent features — not just models in notebooks.
Type: Contract, freelance, or full-time
Location: Hybrid
Timezone: US
If you are looking for new opportunities and meet the above requirements, please send your CV to: hello@deployd.co