AI ML Engineer

We're seeking an

AI / ML Engineer

to design, build, and deploy intelligent systems that leverage large language models, machine learning, and agentic AI architectures. You'll work at the intersection of ML research and production engineering—transforming cutting-edge AI capabilities into robust, scalable solutions that drive real business impact.

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

— You love trying new models, techniques, and architectures. You're equally comfortable reading research papers and writing production code.

Systems Thinkers

— You understand how to design end-to-end AI systems that balance accuracy, latency, cost, and user experience.

Fast Learners

— The AI landscape evolves weekly. You're excited by rapid change and can quickly evaluate and adopt new tools and approaches.

Pragmatic Problem-Solvers

— You choose the right tool for the job—whether that's a state-of-the-art model, a simple heuristic, or something in between.

Collaborative Innovators

— You communicate complex technical concepts clearly, mentor others, and thrive in cross-functional environments.

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.