Job Description

About Us

Blueshift is the Intelligent Customer Engagement Platform (CEP), headquartered in San Francisco, that empowers leading B2C brands to drive truly personalized, 1:1 marketing across every channel. Founded by repeat entrepreneurs who previously built Mertado (acquired by Groupon) and were part of the early team at Kosmix (acquired by Walmart), Blueshift leverages AI, including Predictive, Generative, and Agentic AI, to automate customer engagement for clients like ClearScore, LendingTree, Udacity, and U.S. News. Backed by top-tier VCs including Nexus Venture Partners, Storm Ventures, and SoftBank Venture Asia, the company has raised a total of $65 million in venture funding and is consistently recognized as a market leader and a Deloitte Technology Fast 500 award recipient.

Blueshift is actively scaling its development center in Pune, India. As part of our team, you will drive innovation in cutting-edge technologies including machine learning, artificial intelligence, big data, and large-scale distributed data systems. This is an exciting career path for motivated individuals looking to build complex, impactful solutions that define the future of customer engagement.

AI Solutions Engineer

As an AI Solutions Engineer at Blueshift, you will occupy a unique techno-functional position that bridges the gap between core AI and real-world customer impact. You aren't just writing code; you are applying data engineering, analysis, and AI knowledge to help global brands realize the full potential of AI-driven marketing.

Responsibilities 

• Solution Architecture: Design and implement optimal AI-driven solutions tailored to power strategic marketing initiatives for global customers.
• AI Implementation: Deploy and customize scoring models and recommendation schemes using our industry-leading platform.
• End-to-End Ownership: Lead the full delivery lifecycle of custom projects, from initial customer engagement and design to testing and production implementation.
• Data Troubleshooting: Analyze complex usage and log data to identify, troubleshoot, and resolve production issues in AI marketing flows.
• Agentic Productivity: Integrate AI agents (like GitHub Copilot or custom internal agents) into the development lifecycle to accelerate code generation, testing, and debugging.
• Cross-Functional Collaboration: Partner with the AI Infrastructure team to optimize data pipelines and debug distributed systems.
• Innovation & POCs: Develop Proof of Concepts (POCs) for AI experiments, benchmarking results to simplify and automate customer marketing ideas.

Requirements

• Experience: At least 3 years in Software Engineering or Data Engineering, with a focus on enabling data-driven solutions.
• Customer Centricity: At least 1 year of experience working directly with customers or marketing teams to deliver technical solutions (Experience with Recommender Systems is a strong plus).
• Data Mastery: Demonstrated ability to perform complex analysis on large datasets within Big Data platforms.
• Technical Stack: Strong programming skills in SQL and Python, Ruby. Experience (or the ability to quickly pick up) PySpark, Scala and any other relevant scripting languages as required
• Soft Skills: Excellent communication skills to interact with global customers and the ability to work independently with minimal supervision.
• Agility: A high appetite for learning at a fast pace and the ability to multitask in a startup environment.

Nice to Have

• Knowledge of modern ML algorithms and cloud computing at scale.
• Direct experience with AWS Data Platforms, Jenkins, and Docker.
• Familiarity with Data Visualization tools to communicate insights.

Perks and Benefits

• Competitive salary along with stock option grants.
• Excellent hospitalisation, personal accident, and term insurance coverage.
• Located in a top-notch facility in Baner - one of the best neighbourhoods for tech startups.
• Daily catered breakfast, lunch, and snacks along with well-stocked pantry
• A team that cares about you.