Applied AI Engineer
Core
Design and build production-grade GenAI systems, including end-to-end LLM architecture, fine-tuning, and multi-agent pipelines for enterprise clients.
Role type
Senior Applied AI Engineer (GenAI/LLM)
Builds
Production agentic AI systems and GenAI solutions for banks, telcos, insurers, and retailers.
Domain
Enterprise AI / Financial & Digital Infrastructure
Deliverable
production ML models
Required skills
LLM fine-tuning (CPT, SFT, LoRA, QLoRA), Python, transformer architectures, model evaluation pipelines, cloud deployment (AWS), vector databases, containerization (Docker, Kubernetes), software engineering fundamentals, multi-agent orchestration, prompt engineering, model monitoring, API design, performance optimization.
Preferred skills
AWS-native GenAI services (Bedrock, OpenSearch, Lambda, ECS/EKS), Anthropic tools, consulting/client-facing delivery experience, security/guardrail patterns.
Technologies
Python, AWS (Bedrock, OpenSearch, Lambda, ECS/EKS), Docker, Kubernetes, OpenSearch, Pinecone, Weaviate, Milvus, FAISS, LoRA, QLoRA, CPT, SFT.
Responsibilities
Design end-to-end LLM system architecture; pre-train and fine-tune domain-specific models; run model evaluation and benchmarking pipelines; optimize models for latency, throughput, and cost; integrate models into multi-agent pipelines; implement prompt versioning and monitoring; translate business requirements into model strategies; define enterprise integration patterns; improve production reliability; contribute code and perform code reviews.
Seniority
Mid-Senior, hands-on IC with architectural contribution
