AI Engineer / Forward Deployment Engineer

Interas Labs LLC is seeking an experienced AI Engineer to take ownership of designing, deploying, and scaling enterprise-grade AI solutions for clients. This role is remote (USA) and long-term, focused on productionizing modern AI capabilities and delivering them reliably across real client environments.

The Forward Deployment Engineer will work across the end-to-end stack, from LLM and Generative AI workflows to infrastructure, deployment, and operational readiness. The position is built for candidates who combine strong engineering fundamentals with practical experience in AI system delivery.

Responsibilities

• Design, deploy, and scale enterprise-grade AI solutions for clients

Requirements

• Strong experience with LLMs, Generative AI, RAG, AI Agents, and Prompt Engineering
• Hands-on experience with OpenAI, Claude, LangChain, LlamaIndex, and Hugging Face
• Python programming experience (mandatory)
• JavaScript/TypeScript experience (preferred)
• Experience with AWS, Azure, or GCP
• Expertise in Docker, Kubernetes, Terraform, and CI/CD
• Experience building APIs, microservices, and AI-powered applications
• Knowledge of Vector Databases including Pinecone, FAISS, ChromaDB, and Weaviate
• Strong understanding of DevOps, MLOps, observability, and scalable architectures
• Experience with Dynatrace, Splunk, Grafana, or ELK (plus)
• Excellent communication, troubleshooting, and customer-facing skills
• AI: 5 years (Required)
• Forward Deployment Engineer: 5 years (Required)
• Generative AI: 5 years (Required)
• AWS: 10 years (Required)
• Python: 10 years (Required)
• Full-stack development: 10 years (Required)

Compensation: USD 60-65 per hour. Location: Remote (USA). Experience level: 5+ years.