AI Engineer / Forward Deployment Engineer
Job Description
Interas Labs LLC is seeking an experienced AI Engineer with a Forward Deployment focus to design, deploy, and scale enterprise-grade AI solutions for clients. This is a long-term, remote role for candidates located in the USA.
Role Overview
The Forward Deployment Engineer will help deliver production-ready AI capabilities, bringing together generative AI development with scalable deployment practices and client-facing delivery.
Responsibilities
- Design, deploy, and scale enterprise-grade AI solutions for clients
Required Skills and Experience
- 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)
Technical 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 skills (mandatory), with JavaScript/TypeScript preferred
- Experience with AWS, Azure, or GCP
- Expertise with 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 is a plus
- Excellent communication, troubleshooting, and customer-facing skills
Technologies
LLMs, Generative AI, RAG, AI Agents, Prompt Engineering, OpenAI, Claude, LangChain, LlamaIndex, Hugging Face, Python, JavaScript/TypeScript, AWS, Azure, GCP, Docker, Kubernetes, Terraform, CI/CD, APIs, microservices, Vector Databases, Pinecone, FAISS, ChromaDB, Weaviate, DevOps, MLOps, observability, Dynatrace, Splunk, Grafana, ELK.
Location and Compensation
- Location: Remote (USA)
- Compensation: USD 60 - 65 per hour
- Employment type: Long-term