AI & Automation Engineer

About The Role Join our emerging technology team to build practical, high-value AI solutions for global clients. You will bridge cutting-edge generative AI research with production software engineering, crafting agentic workflows, semantic search systems, and automated evaluation suites.

Key Responsibilities

• Architect and deploy autonomous AI agents with structured tool-calling and memory stores
• Engineer hybrid enterprise RAG systems with semantic chunking, re-ranking, and vector embeddings
• Implement robust evaluation datasets (evals) to measure hallucination rates and accuracy benchmarks
• Optimize prompt chains, caching, and token usage to ensure predictable latency and unit economics
• Implement security guardrails, PII redaction, and audit logging for enterprise compliance

Qualifications & Requirements

• 3+ years in software engineering with at least 1.5+ years focused on applied LLMs / GenAI
• Strong proficiency in Python and TypeScript
• Hands-on experience with frameworks like LangChain, LlamaIndex, Instructor, or DSPy
• Practical experience with vector databases (Qdrant, Pinecone, pgvector) and search techniques
• Understanding of prompt engineering, few-shot techniques, and model evaluation methodologies
• Disciplined engineering mindset regarding automated testing, observability, and cost control

Nice to Have

• Experience fine-tuning open-source models (Llama 3, Mistral) with LoRA/QLoRA
• Knowledge of local model execution with Ollama or vLLM
• Experience deploying ML microservices with FastAPI, Docker, and Kubernetes

What We Offer

Competitive salary and performance bonuses

Workstation hardware of your choice and cloud computing budget

Dedicated time and budget for AI experimentation and open-source contributions

Comprehensive health and wellness benefits

100% remote-first company culture