GenAI Architect / Forward Deployment Engineer (LLM, RAG & AI Agents)

Interas Labs.LLC
United States
about 2 months ago
Apply on www.indeed.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$124,800.0 - $135,200.0
Working hours
Regular working hours
Job source

Tech stack

JavaScript (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Software Applications Microsoft Azure Cloud Computing Cloud Engineering Continuous Integration DevOps Python (Programming Language) Machine Learning
+17 more
Software Engineering TypeScript Google Cloud Large Language Models Grafana Prompt Engineering Generative AI Kubernetes HuggingFace Machine Learning Operations Virtual Agents Software Coding Terraform Splunk Dynatrace Docker Microservices

Requirements

We are hiring a highly skilled Senior forward deployment engineer with strong experience in AI/ML, generative AI, cloud infrastructure, and full-stack development to deploy and scale enterprise AI solutions

.Experience:

  • 1 5+ years in AI Engineering, DevOps, Cloud Engineering, or Software Development
  • Prior experience in customer-facing or deployment-focused roles preferred

Keywords: Forward Deployment Engineer, AI Engineer, GenAI, LLM, LangChain, OpenAI, Kubernetes, AWS, Terraform, Python, RAG, AI Agents, MLOps, Full-Stack Builder. Required Skills:

  • Strong experience with LLMs, GenAI, RAG, AI Agents, Prompt Engineering
  • Hands-on experience with OpenAI, Claude, LangChain, LlamaIndex, Hugging Face
  • Strong coding skills in Python (mandatory), JavaScript/TypeScript preferred
  • Experience with AWS/Azure/GCP, Kubernetes, Docker, Terraform, CI/CD
  • Experience building and deploying APIs, microservices, and AI-powered applications
  • Knowledge of Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate)
  • Strong understanding of DevOps, MLOps, observability, and scalable architectures
  • Experience with Dynatrace, Splunk, Grafana, ELK is a plus
  • Excellent troubleshooting, communication, and customer-facing skill s

Pay: $60.00 - $65.00 per hour

Experience:

  • Generative AI: 10 years (Required)
  • LLM: 10 years (Required)
  • RAG: 10 years (Required)
  • Agentic AI: 10 years (Required)
  • Forward Deployment Engineer: 10 years (Required)
  • AI/ML: 10 years (Required)
  • Cloud infrastructure: 10 years (Required)
  • Full-stack development: 10 years (Required)
  • Customer-facing : 10 years (Required)
  • Deployment-focused: 10 years (Required)

Benefits & conditions

$60 - $65 an hour - Contract

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.indeed.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:08 min

Essential engineering roles in the generative AI space

Mary Grygleski Mary Grygleski · LIVE

2:17 min

Mapping the maturity roadmap for scaled devops adoption

Dominik Krichbaum Dominik Krichbaum · World Congress 2026 Europe

2:38 min

Establishing comprehensive monitoring and log management

Michael Eder +1 · LIVE

2:07 min

Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz · World Congress 2025

3:18 min

Scaling global network engineering through DevOps culture

Stuart Clark · LIVE

3:10 min

Correlating dispersed logs using structured request tracing

Michael Eder +1 · LIVE

Videos

See all

Related articles

See all