AI ML Engineer

AI/ML Engineer

This is a hands-on role where you'll architect AI systems from the ground up, experiment with novel approaches, and ship production-grade ML applications. You'll collaborate with engineering, product, and data teams to push the boundaries of what's possible with AI.

What You'll Do

AI System Development

• Design and build

  production AI/ML systems

  including agentic workflows, multi-model pipelines, and intelligent automation
• Develop and optimize

  LLM-based applications

  using prompt engineering, RAG (Retrieval-Augmented Generation), and fine-tuning techniques
• Build

  AI agent frameworks

  that orchestrate complex reasoning, tool use, and multi-step workflows

ML Engineering & Operations

• Train, evaluate, and deploy

  machine learning models

  across classification, NLP, recommendation, and generative tasks
• Implement

  MLOps pipelines

  for model versioning, monitoring, A/B testing, and continuous improvement
• Optimize model performance, latency, and cost for production environments

Data & Infrastructure

• Design

  vector databases, embedding systems, and semantic search

  architectures for AI applications
• Build scalable

  data pipelines

  for model training, inference, and continuous learning
• Create

  evaluation frameworks

  to measure AI system quality, safety, and performance

Collaboration & Innovation

• Partner with cross-functional teams to identify high-impact AI use cases and translate requirements into technical solutions
• Stay current with AI research and rapidly prototype emerging techniques (new model architectures, agent frameworks, tools)
• Contribute to architectural decisions, code reviews, and engineering best practices

Required Qualifications

Technical Foundation

• Bachelor's or master’s degree in computer science

  , Machine Learning, Mathematics, Statistics, or related field (or equivalent practical experience)

• 5+ years

  of software engineering experience with

  3+ years specifically in AI/ML development

• Strong programming skills in

  Python

  and ML frameworks (

  PyTorch, TensorFlow, or JAX

  )

AI/ML Expertise

• Hands-on experience building applications with

  LLMs

  (GPT, Claude, Llama, etc.) and understanding of their capabilities/limitations
• Proficiency with

  AI frameworks and tools

  : LangChain, LlamaIndex, DSPy, Hugging Face, OpenAI API, Anthropic API
• Experience with

  machine learning techniques

  : supervised/unsupervised learning, NLP
• Understanding of

  prompt engineering, RAG architectures, and context optimization

  for LLM systems

Software Engineering

• Strong fundamentals in

  data structures, algorithms, and system design

• Experience building

  APIs, microservices, and distributed systems

  using modern frameworks (Fast API, Node.js, etc.)
• Proficient with

  cloud platforms

  (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)
• Familiarity with

  vector databases

  (Pinecone, Weaviate, ChromaDB, Qdrant) and SQL/NoSQL databases

Preferred Qualifications

• Experience with

  model fine-tuning, RLHF, or custom model training

• Knowledge of

  AI safety, alignment, and evaluation methodologies

• Contributions to

  open-source AI/ML projects

  or research publications
• Familiarity with

  AI agent architectures

  : ReAct, Chain-of-Thought, tool use, multi-agent systems
• Experience with

  frontend frameworks

  (React, Next.js) for building AI-powered interfaces
• Background in

  MLOps tools

  : Weights & Biases, MLflow, Kubeflow, or similar platforms

What We're Looking For

Experimenters & Builders

Systems Thinkers

Fast Learners

Pragmatic Problem-Solvers

Collaborative Innovators

Tools & Technologies We Use

• LLM Platforms

  : OpenAI, Anthropic, open-source models (Llama, Mistral)

• Frameworks

  : LangChain, LlamaIndex, Hugging Face Transformers

• ML Stack

  : PyTorch, scikit-learn, pandas, numpy

• Vector DBs

  : Pinecone, Weaviate, ChromaDB

• Cloud

  : AWS (SageMaker, Bedrock) / GCP (Vertex AI) / Azure (OpenAI Service)

• Development

  : Python, TypeScript, React, Next.js, FastAPI

• MLOps

  : Docker, Kubernetes, GitHub Actions, Weights & Biases

• AI Dev Tools

  : Cursor, GitHub Copilot, Claude for coding

Why Join Us?

• Work on

  cutting-edge AI systems

  that directly impact users and business outcomes
• Access to

  latest AI models and tools

  with budget for experimentation
• Collaborate with talented engineers, data scientists, and researchers

• Rapid iteration

  culture—ship fast, learn, and improve
• Opportunities to

  shape AI strategy

  and technical direction

We're building AI systems that matter. If you're passionate about pushing the boundaries of what's possible with machine learning and want to see your work in production, we'd love to hear from you.