Generative AI Engineer

We are looking for a Senior Generative AI Engineer to lead the development and deployment of our next-generation Automated Drafting Tool. This role requires ownership of the complete AI lifecycle — from local prototyping using Ollama to scaling production-grade AI systems through OpenAI APIs.

The ideal candidate has a Full-Stack AI mindset with strong expertise in:

• Retrieval-Augmented Generation (RAG)
• Vector databases and embeddings
• Prompt engineering
• LLM orchestration frameworks
• AI infrastructure and deployment

You should be passionate about building reliable, context-aware, and production-ready AI systems that generate high-quality drafts with strong grounding and minimal hallucinations.

Key Responsibilities

1. AI Architecture & Drafting Logic

• Design and implement end-to-end RAG pipelines optimized for automated document drafting.
• Develop advanced prompt engineering strategies to manage:
• Tone consistency
• Legal/technical compliance
• Formatting requirements
• Context preservation
• Implement hybrid AI workflows using:
• Ollama for local development, testing, and privacy-sensitive workloads
• OpenAI models (GPT-4o/o1) for advanced production reasoning
• Build Agentic RAG workflows capable of:
• Multi-step reasoning
• Self-correction
• Context verification

2. Data & Vector Engineering

• Build and maintain scalable Vector Databases such as:
• Pinecone
• Weaviate
• Milvus
• FAISS
• pgvector
• Optimize document ingestion pipelines, including:
• Chunking strategies
• Embedding model selection
• Metadata filtering
• Retrieval ranking
• Improve retrieval precision and contextual relevance for drafting workflows.
• Implement retrieval evaluation and grounding mechanisms to reduce hallucinations.

3. Deployment & MLOps (Local to Cloud)

• Bridge local AI experimentation with scalable cloud deployment environments.
• Deploy AI services using:
• Docker
• Kubernetes
• Cloud infrastructure (AWS/GCP/Azure)
• Manage:
• API latency
• Rate limits
• Token optimization
• Cost efficiency
• Establish monitoring systems for:
• Hallucination detection
• Groundedness metrics
• AI quality evaluation
• Tracing and observability

Required Skills & Qualifications

Mandatory Experience

3+ years of experience in:

• AI/ML Engineering
• Backend Engineering
• Generative AI-focused product development
• Hands-on expertise with:
• LangChain
• LlamaIndex
• Strong experience with:
• OpenAI API ecosystem
• Ollama and local model runners
• Proven experience implementing and optimizing:
• RAG pipelines
• Vector databases
• Embedding workflows
• Advanced Python development skills using:
• FastAPI
• Flask
• Asynchronous programming
• Exposure to:
• JIRA
• Confluence

Technical Stack

Models

• OpenAI GPT-4 / GPT-4o
• Ollama
• Llama 3
• Mistral
• Mixtral

Frameworks & Tools

• LangChain
• LlamaIndex
• LangSmith

Databases

• Pinecone
• ChromaDB
• pgvector

Infrastructure & DevOps

• Docker
• Kubernetes
• AWS / GCP / Azure
• GitHub Actions (CI/CD)

What We Look For (The Hacker Mindset)

Production-Proven

You have successfully taken at least one GenAI product from:

• Jupyter Notebook / local prototype to A live production environment with real users.
• Problem Solver

You understand the stochastic nature of LLMs and know how to:

• Build guardrails
• Reduce hallucinations
• Improve reliability
• Ensure grounded AI outputs

Architecture-First Thinking

You care deeply about:

• Scalability
• Latency optimization
• Token efficiency
• Cost management
• Output quality

Preferred Qualifications

• Experience building AI-powered drafting or document automation systems
• Knowledge of evaluation frameworks for LLM outputs
• Familiarity with multi-agent systems and agent orchestration
• Experience with enterprise AI security and privacy considerations
• Strong debugging and performance optimization skills

Why Join Us

• Work on cutting-edge Generative AI products with real-world impact
• Build scalable AI systems from prototype to production
• Collaborate with a highly technical and innovation-driven team
• Opportunity to shape the future of AI-powered drafting and automation systems