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