Artificial Intelligence Engineer

CRAFTLabs; India; Hybrid; INR 1,200,000 - 2,400,000; Full time

Job summary

CRAFTLabs in India is seeking a seasoned Software Engineer focused on Machine Learning and AI to build customer-facing solutions and scalable ML platforms.

You will own development of AI features, deploy ML models in production, and collaborate in agile teams using CI/CD pipelines and IaC across multi-cloud environments.

Strong Python expertise and hands-on experience with ML tooling and data pipelines are essential, as is effective communication across remote and on-site teams.

Qualifications

• Proficient in Python for ML pipelines and production-grade code.
• Experience building and deploying ML models in production.
• Strong understanding of DevOps practices, CI/CD and monitoring.

Responsibilities

• Own the development of new customer-facing AI solutions and product experiences.
• Develop and use modern software engineering practices to deploy ML solutions at scale, including building CI/CD pipelines and automated testing.
• Collaborate with engineers to automate processes and manage multi-cloud infrastructure as code.

Skills

Python

AI Agent

MLOps

RAG

Git

Tools

Databricks

NumPy

Pandas

SciKit Learn

LangChain

Job description

We are software artisans passionate about what we do: help companies build awesome solutions. With an agile process that is built on top of the best engineering practices.

Our team is comprised of full-stack developers and architects, who are versed in the very latest technologies and love what they do!

We believe transparent, honest and fluent communication, both remotely and on-site is a key factor to the success of any project.

What are we looking for?

Our ideal candidate is a seasoned Software Engineer oriented to Machine Learning and Artificial Intelligence ecosystem (Python, AI Agent, MLOps, RAG, NumPy, Pandas), someone who also has wide experience in enterprise infrastructure, On-Premise and Cloud, and working in agile teams leveraging the tools that enable success such as CI/CD pipelines and following best practices.

Responsibilities

• Own the development of new customer-facing AI solutions and product experiences
• Develop and use modern software engineering practices to deploy ML solutions at scale, including building CI/CD pipelines and automated testing
• Work together with a team of professional engineers with the objective of automating processes, deploying and building infrastructure as code and managing the architecture of multicloud systems.
• To Participate in agile ceremonies, weekly demos and such.
• To Communicate your daily commitments.

Qualifications

• 3+ years of relevant work experience.
• Experience with building and maintaining infrastructure for model performance evaluation, including data collection, preprocessing, and analysis
• Strong understanding of machine learning concepts and algorithms, and experience with developing and deploying machine learning models in productionli>
• Solid understanding of DevOps CI CD and monitoring.
• Experience with Agile ceremonies.
• Passionate about good engineering practices and testing.
• Ability to organize, prioritize and communicate daily/weekly goals.
• You like to learn, are curious, humble and like to get things done.
• Passion for working in a customer facing setting.

Required Skills

• Proficient with Python.
• Proficient with AI Agent (such as: LangGraph or LangChain)
• Competent with MLOps
• Proficient with RAG (Retrieval-Augmented Generation)
• Proficient with GIT.

Nice to have

• Proficient with Databricks.
• Proficient with NumPy, Pandas, SciKit Learn
• Proficient with NLP (NET)
• Proficient with GenAI familiarity
• Proficient with Cohor analysis

Our solutions support enterprise information management, business intelligence, machine learning and data science. You should excel in working remotely and have outstanding communication skills (Transparency is one of our core values).