ai engineer

Our Client is seeking an experienced AI Engineer to join their growing AI team. You will be responsible for designing, building, and maintaining end-to-end artificial intelligence solutions that move from prototype to production, working with cutting-edge LLM technologies and modern AI frameworks.

Key Responsibilities

AI Development & Implementation

• Design and develop production-ready AI/ML systems and applications

• Implement and fine-tune Large Language Models (LLMs) using frameworks like LangChain, OpenAI APIs, and Hugging Face

• Build and optimize prompt/context engineering solutions and Retrieval-Augmented Generation (RAG) pipelines

• Develop vector store embeddings and semantic search capabilities

• Create multi-model orchestration workflows for complex AI applications

Data & Model Management

• Gather, preprocess, and manage large-scale datasets for model training

• Develop and maintain machine learning models using TensorFlow, PyTorch, or similar frameworks

• Implement model evaluation, monitoring, and observability mechanisms

• Perform model versioning and lifecycle management using MLflow or similar tools

Deployment & Operations

• Deploy AI models to production using cloud platforms (AWS, Azure, or GCP)

• Containerize applications using Docker and manage infrastructure with Kubernetes

• Build and maintain RESTful APIs for model integration

• Implement CI/CD pipelines for automated model deployment

• Monitor model performance, drift, and system health in production

Collaboration & Innovation

• Work cross-functionally with product managers, data scientists, and DevOps teams

• Translate business requirements into technical AI solutions

• Stay current with emerging AI technologies and best practices

• Document architecture, processes, and technical decisions

Required Qualifications

Education

• Bachelor’s degree in Computer Science, Engineering, Machine Learning, or related quantitative field

• Master’s degree preferred

Experience

• 3+ years of hands-on experience putting Machine Learning models into production

• Proven track record of developing and deploying AI/ML systems at scale

• Experience with end-to-end ML lifecycle from data preparation to production deployment

Technical Skills

• Programming: Expert-level proficiency in Python (required); Java or C++ is a plus

• ML Frameworks: Deep expertise in TensorFlow and/or PyTorch

• LLM Tools: Hands-on experience with LangChain, OpenAI APIs, or similar LLM frameworks

• MLOps: Experience with MLflow, model versioning, and lifecycle management

• Cloud Platforms: Proficiency with AWS SageMaker, Azure ML, or Google AI Platform

• Containerization: Strong experience with Docker for creating reproducible environments

• Orchestration: Knowledge of Kubernetes for scalable deployments

• APIs: Experience developing and integrating RESTful APIs

• Databases: Familiarity with both SQL and NoSQL databases

Core Competencies

• Strong mathematical foundations (linear algebra, statistics, probability)

• Deep understanding of machine learning algorithms and neural networks

• Knowledge of distributed computing and scalable system design

• Understanding of AI ethics, bias mitigation, and responsible AI practices

• Excellent problem-solving and analytical skills

• Strong communication skills for technical and non-technical audiences

Preferred Qualifications

• Experience with Generative AI and prompt engineering techniques

• Knowledge of vector databases (Pinecone, Weaviate, Chroma)

• Familiarity with NLP, computer vision, or reinforcement learning

• Experience with A/B testing and experimentation frameworks

• Contributions to open-source AI/ML projects

• Publications or research in AI/ML domains

• Experience with real-time inference and low-latency systems

What They Offer

• Competitive salary and equity package

• Comprehensive health benefits

• Professional development and learning opportunities

• Flexible work arrangements (remote/hybrid options)

• Cutting-edge AI technology stack

• Collaborative and innovative team environment

• Opportunity to work on impactful AI projects