Job Description-
Role Overview- We are looking for an experienced Forward-Deployed AI Engineer / Enterprise AI Architect to design, develop, and deploy enterprise-grade AI solutions. The ideal candidate will combine strong hands-on expertise in Generative AI, LLMs, and Agentic AI with the ability to understand business requirements and deliver scalable AI solutions in enterprise environments.
Key Responsibilities
- Design and implement enterprise AI solutions using LLMs, Generative AI, and Agentic AI.
- Develop RAG pipelines, AI agents, and LLM-powered applications.
- Integrate AI solutions with enterprise systems, APIs, databases, and cloud platforms.
- Work closely with business stakeholders and technical teams to translate business challenges into AI solutions.
- Architect scalable, secure, and production-ready AI applications.
- Lead AI solution deployment, optimization, monitoring, and performance improvement.
- Evaluate emerging AI frameworks, tools, and technologies.
Required Skills & Experience
- Strong hands-on experience in Python and AI/ML engineering.
- Expertise in LLMs, Generative AI, RAG, and Agentic AI.
- Experience with OpenAI, Azure OpenAI, Anthropic, or similar LLM platforms.
- Knowledge of LangChain, LangGraph, LlamaIndex, or similar frameworks.
- Experience with vector databases, embeddings, and semantic search.
- Strong understanding of cloud platforms (AWS, Azure, or GCP).
- Experience designing and deploying enterprise-grade AI solutions.
- Excellent stakeholder communication and problem-solving skills.
Pay: $55.00 - $70.00 per hour
Expected hours: 40.0 per week
Experience:
- Forward-Deployed AI Engineer: 6 years (Preferred)
- Enterprice AI Architecture : 8 years (Preferred)
Work Location: Remote
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