Senior Generative AI Developer (LLM, RAG & Enterprise AI Solutions) | Ardor IT Solutions | Onsite USA

Ardor IT Solutions; United States; On-site; USD 180,000 - 240,000; Full time

Job summary

Ardor IT Solutions seeks a Senior Generative AI Developer to design and deploy enterprise-scale AI applications powered by large language models. You will lead the architecture, implement RAG workflows, and drive AI innovation across business platforms in a cross-functional setting.

The role requires deep expertise in LLM ecosystems, prompt engineering, vector databases, LangChain/LlamaIndex, and cloud-native AI development, with strong collaboration across data scientists, engineers, and

Qualifications

• 12+ years in IT/Software/AI roles.
• Hands-on with Generative AI and LLM deployments.
• Advanced Python for AI apps.
• Experience with enterprise AI platforms (OpenAI/Azure OpenAI).
• Deep prompt engineering and RAG architectures.
• Experience with LangChain/LlamaIndex and vector tech.
• Knowledge of NLP/ML/DL concepts.
• REST APIs and microservices.
• Cloud deployment on AWS/Azure/GCP.
• MLOps practices and governance.

Responsibilities

• Design, develop, and deploy production-grade Generative AI applications.
• Build LLM-powered solutions with RAG, embeddings, vector databases.
• Optimize and test prompts for quality and outcomes.
• Architect AI workflows and microservices for cloud-native deployments.
• Integrate AI services with enterprise apps, APIs, and databases.
• Lead AI projects with cross-functional teams and governance.

Skills

Python

OpenAI/Azure OpenAI

Prompt Engineering

RAG architectures

LangChain/LlamaIndex

Vector databases

MLOps

Cloud platforms

REST APIs/microservices

Enterprise AI

Security/governance

Leadership/communication

Tools

LangChain

LlamaIndex

OpenAI API

Azure OpenAI

Anthropic

Docker

Kubernetes

Job description

Job Title: Senior Generative AI Developer (LLM, RAG & Enterprise AI Solutions) | Ardor IT Solutions | Onsite USA

Recruiting Company: Ardor IT Solutions

Job Location: Onsite (USA)

Job Type: Full-Time (W2 Only)

Experience Required: 12+ Years

Visa Requirement: H1B Visa Holders Only

Work Arrangement: 100% Onsite

Relocation: Open to Relocation

Technology Focus: Generative AI, Large Language Models (LLMs), RAG, Prompt Engineering, MLOps, Cloud AI Platforms

Position Summary

Ardor IT Solutions is seeking a highly experienced Senior Generative AI Developer to lead the design and development of enterprise-scale AI solutions powered by Large Language Models (LLMs). This is an exciting opportunity for a seasoned technology professional to drive AI innovation, build intelligent applications, and shape the future of AI-powered business transformation through cutting-edge generative AI technologies.

Detailed Job Description

As a Senior Generative AI Developer, you will be responsible for architecting, developing, and deploying sophisticated AI applications that leverage state-of-the-art language models, retrieval systems, and intelligent automation capabilities. You will work at the intersection of software engineering, machine learning, and enterprise architecture to deliver scalable AI platforms that create measurable business value. The ideal candidate possesses deep expertise in LLM ecosystems, prompt engineering, Retrieval-Augmented Generation (RAG), vector search technologies, and cloud-native AI development. Working closely with data scientists, software engineers, architects, and business stakeholders, you will design innovative AI solutions that address complex business challenges while ensuring performance, security, and responsible AI adoption. This role offers the opportunity to influence strategic AI initiatives and build next-generation intelligent systems for enterprise environments.

Key Responsibilities

• Design, develop, and deploy production-graded Generative AI applications and platforms.
• Build advanced LLM-powered solutions using Retrieval-Augmented Generation (RAG), embeddings, and vector database technologies.
• Develop, optimize, and evaluate prompts to improve AI response quality, accuracy, and business outcomes.
• Architect intelligent agents and AI workflows using modern orchestration frameworks.
• Integrate Generative AI services with enterprise applications, APIs, databases, and business systems.
• Design scalable AI microservices and cloud-native architectures for enterprise deployments.
• Implement solutions using OpenAI, Azure OpenAI, Anthropic, and related LLM platforms.
• Develop applications leveraging LangChain, LlamaIndex, or similar AI development frameworks.
• Build semantic search and knowledge discovery solutions using vector databases and embedding technologies.
• Evaluate model performance, latency, scalability, security, and cost optimization strategies.
• Collaborate with data scientists and engineering teams to operationalize AI and machine learning solutions.
• Establish MLOps best practices for model deployment, monitoring, governance, and lifecycle management.
• Ensure responsible AI implementation through security, compliance, privacy, and governance controls.
• Stay current with emerging AI technologies, frameworks, and industry best practices.
• Provide technical leadership and mentorship on enterprise AI initiatives and architecture decisions.

Required Qualifications & Skills

• 12+ years of professional experience in Information Technology, Software Engineering, or AI-related disciplines.
• Strong hands-on experience developing and deploying Generative AI and Large Language Model (LLM) solutions.
• Advanced Python programming skills with experience building AI and machine learning applications.
• Experience with OpenAI, Azure OpenAI, Anthropic, or comparable enterprise AI platforms.
• Deep understanding of Prompt Engineering techniques and optimization methodologies.
• Strong experience designing and implementing Retrieval-Augmented Generation (RAG) architectures.
• Hands-on experience with LangChain, LlamaIndex, or similar LLM orchestration frameworks.
• Experience with vector databases, embeddings, semantic search, and knowledge retrieval systems.
• Strong knowledge of Natural Language Processing (NLP), Machine Learning, and Deep Learning concepts.
• Experience building and consuming REST APIs and microservices-based architectures.
• Expertise deploying AI workloads on AWS, Microsoft Azure, or Google Cloud Platform.
• Experience with MLOps practices, model deployment strategies, monitoring, and governance frameworks.
• Proven ability to design and deliver enterprise-grade AI solutions at scale.
• Strong analytical, troubleshooting, communication, and stakeholder management skills.
• Willingness to work onsite and collaborate closely with cross-functional teams.
• H1B Visa Holder status required.

Nice-to-Have Skills

• Experience with multi-agent AI systems and autonomous workflow orchestration.
• Knowledge of fine-tuning techniques, reinforcement learning, and model optimization.
• Experience with AI governance, model risk management, and enterprise compliance frameworks.
• Familiarity with Kubernetes, Docker, and cloud-native AI deployment architectures.
• Experience with graph databases, knowledge graphs, and hybrid search solutions.
• Exposure to multimodal AI applications involving text, image, audio, or video processing.
• Contributions to AI research, open-source projects, technical publications, or patents.

Recruitment Pro Tip

For a senior-level Generative AI role, employers look beyond theoretical AI knowledge. Showcase specific enterprise projects where you designed and delivered production-ready LLM solutions, implemented RAG architectures, integrated AI into business applications, optimized prompts for measurable outcomes, and successfully deployed scalable AI systems in cloud environments. Quantifiable business impact and end-to-end solution ownership will significantly strengthen your application.