Machine Learning Engineer

Job Title- AI/ML Engineer – LLM & RAG Solutions

Location- Fort Mills, SC (Hybrid)

Experience- 3–6 years

Role Overview:

We are seeking a skilled AI/ML Engineer with hands-on experience building and deploying LLM-powered applications in production environments. The ideal candidate will have expertise in prompt engineering, model versioning, output validation, fallback mechanisms, and Retrieval-Augmented Generation (RAG) frameworks.

The role requires experience designing secure and scalable AI solutions with policy-based input/output controls, ensuring reliability, compliance, and high-quality AI responses.

Key Responsibilities

* Design, develop, and deploy LLM-based applications and AI features in production environments

* Build and optimize RAG (Retrieval-Augmented Generation) pipelines for enterprise use cases

* Implement:

* prompt engineering strategies

* prompt/version management

* response validation

* fallback and retry mechanisms

* Develop controlled generation workflows with:

* input filtering

* output moderation

* policy enforcement

* Integrate AI models with APIs, vector databases, and enterprise applications

* Collaborate with product, engineering, and data teams to deliver scalable AI solutions

* Monitor model performance, hallucinations, latency, and response quality

* Improve reliability, observability, and governance of AI systems

* Contribute to AI architecture, experimentation, and optimization initiatives

Required Skills & Qualifications

* 3+ years of experience building and deploying AI/ML solutions

* Hands-on experience shipping LLM features into production

* Strong expertise in:

* Prompt Engineering

* Prompt/Model Versioning

* Output Validation

* Fallback Handling

* Experience with RAG architectures and semantic retrieval systems

* Knowledge of policy-based AI controls for:

* input validation

* output filtering

* safe AI responses

* Strong programming skills in Python

* Experience with:

* LangChain / LlamaIndex

* OpenAI / Anthropic / Gemini APIs

* Vector databases (Pinecone, Weaviate, Chroma, pgvector)

* Familiarity with cloud platforms such as AWS, Azure, or GCP

Preferred Skills

* Experience with AI observability and evaluation frameworks

* Exposure to guardrails, hallucination mitigation, and AI governance

* Knowledge of CI/CD and MLOps practices

* Experience working in enterprise or regulated environments