AI Engineer

We’re looking for a highly skilled AI Engineer to help build and scale an automated machine learning platform that turns complex enterprise data into intelligent, production-ready solutions.

You’ll work across the full AI stack, from LLM development and RAG systems to MLOps, APIs, and cloud-native deployment, helping transform raw data into reliable, scalable AI services used in real-world business environments.

This role sits at the intersection of machine learning engineering, backend systems, and generative AI infrastructure, requiring both architectural thinking and strong hands-on execution.

What You’ll Be Doing

You’ll be responsible for building and improving the core AI systems powering the platform:

• Design, train, and optimize ML models and LLM-based systems for predictive and generative use cases
• Build and evolve Retrieval-Augmented Generation (RAG) pipelines using embeddings, vector databases, and prompt strategies
• Develop scalable AI services with FastAPI, containerization, and cloud orchestration tools
• Create and maintain automated data ingestion and transformation pipelines for ML-ready datasets
• Deploy production-grade models with a focus on low latency, high availability, and scalability
• Establish evaluation frameworks to monitor model accuracy, drift, and performance efficiency
• Build secure APIs that connect AI capabilities to product interfaces and user-facing applications
• Continuously improve system performance through optimization techniques and experimentation

What We’re Looking For

Core Experience

• 5+ years building and deploying production machine learning systems
• Strong background in taking models from research or notebooks into production environments
• Hands-on experience across the full ML lifecycle and MLOps practices

Technical Skills

• Strong Python engineering skills (production-level, not just prototyping)
• Experience with ML frameworks like PyTorch, TensorFlow, or Scikit-learn
• Deep understanding of LLMs and RAG architectures
• Experience with tools like LangChain, LlamaIndex, or OpenAI APIs
• Strong API development experience using FastAPI or Flask
• Familiarity with SQL, NoSQL, and vector databases (Pinecone, Milvus, Weaviate, etc.)
• Experience with Docker, Kubernetes, or similar deployment tools
• Cloud experience (AWS, GCP, or Azure)

Strong Plus

• Exposure to AutoML systems or automated feature engineering pipelines
• Experience with ML orchestration tools (MLflow, Kubeflow, Airflow, etc.)
• Understanding of distributed data processing (Spark, Dask)
• Experience with model tuning frameworks (Optuna, Ray Tune)

Ideal Candidate Profile

You’ll thrive in this role if you combine:

• A product mindset with strong engineering discipline
• Experience working in fast-moving startup environments
• Ability to design scalable systems that evolve with new AI advancements
• Strong mathematical foundation (statistics + linear algebra)
• A bias toward building reliable, production-grade systems over experimental-only work

Day-to-Day Work

• Building and improving ML/LLM pipelines powering enterprise use cases
• Developing scalable inference services and APIs
• Working on automated ML workflows (feature engineering → training → deployment)
• Improving model performance via tuning, optimization, and evaluation
• Collaborating with data engineers to integrate diverse data sources
• Writing production code and participating in peer reviews
• Monitoring system health and model behavior in production

 Interview Process

• Intro / Team Conversation – background, collaboration fit, problem-solving style
• Technical Assessment – real-world coding or ML system challenge
• Deep Technical Interview – architecture, ML systems, and past experience deep dive
• Final Round – leadership discussion and long-term alignment

Requirements (Must-Have)

• 5+ years in production ML/AI engineering
• Strong experience with LLMs and RAG systems
• Proven MLOps and deployment experience
• Strong Python + backend engineering skills
• Authorized to work in the U.S. (Citizen or Green Card holder)

Benefits

• Health Insurance
• Dental Insurance
• Vision Insurance