Job Description: Gen AI Engineer at Informulate
Role Overview
Informulate is seeking a Gen AI Engineer with deep expertise in large language model (LLM) architectures. Join our close-knit team to design and implement cutting-edge AI/LLM backend systems that power intelligent applications such as chatbots and semi-autonomous agents. You will architect robust backends, orchestrating workflows, retrieval-augmented generation (RAG) pipelines, and high-performance knowledge bases.
Location: Remote (U.S. only)
Hours: Flexible, on Eastern Time
Contract: Part-time or Full-time
Key Responsibilities
- Design and implement AI/LLM backend systems for various applications.
- Architect workflows including agentic workflows, RAG pipelines, and knowledge bases.
- Collaborate virtually with the team to build scalable AI-driven solutions.
- Fine-tune LLMs and evaluate using frameworks like LangSmith.
- Work on projects involving semi-autonomous agents and chatbot development.
Key Requirements
Technical Skills & Expertise
- LLM Frameworks: Experience with LangChain, LangGraph, Crew AI, or similar.
- Agentic Workflows: Understanding and implementation experience with ReAct, planning, and reflective agents.
- Knowledge of RAG: Graph RAG, hybrid RAG, agentic RAG.
- Knowledge Bases & Vector Databases: Experience with Pinecone, Weaviate, Faiss, Annoy, HNSW, IVF, PQ.
- Programming: Expert in Python, Pydantic.
- Model Evaluation & Fine-tuning: Using tools like LangSmith.
- Protocols & Deployment: MCP, AWS Bedrock.
- Voice AI: Experience with OpenAI Voice API.
- Model Providers: OpenAI, Anthropic Claude, Google Gemini, Meta Llama.
- Frontend & Backend: React, Node.js, TypeScript.
Preferred Skills
- Cloud deployment (AWS, CI/CD, Docker).
- Prompt engineering.
- Modular, scalable AI-native architecture design.
Application Domains
- LLM-Powered Chatbots
- Workflow Automation
- Semi-Autonomous Agents
Company & Culture
Informulate specializes in innovation and AI-driven digital products. Founded in 2006, focuses on AI research and solutions.
Our values include:
- Empathy
- Quality
- Integrity
- Impact
- Simplicity
- Responsiveness
How to Apply
Send your resume and project links (GitHub, portfolio, LinkedIn) to ashley.capielo@informulate.net. Include a brief introduction.
Job Details:
Type: Full-time, Contract
Pay: $60-$70/hour
Hours: 40/week
Schedule: Flexible, you choose your own hours
Location: Remote
References: 3 required
Job Highlights
Qualifications
- Deep experience with LLM frameworks like LangChain, LangGraph, Crew AI
- Strong understanding and implementation of agentic workflows
- Advanced knowledge of RAG techniques and knowledge bases
- Experience with vector search algorithms and libraries
- Expert in Python and Pydantic
- Knowledge of MCP, AWS Bedrock, voice-enabled AI
- Work with major API providers and open-source LLMs
- Frontend with React; backend with Node.js and TypeScript
Benefits
- Hourly pay: $60-$70
- 40 hours/week
- Flexible schedule
- 8-hour shift, choose your own hours
Responsibilities
- Develop and implement AI/LLM systems
- Architect workflows and knowledge bases
- Collaborate virtually
- Fine-tune models and evaluate performance
- Work on diverse AI projects including chatbots and automation
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