AI Engineer
BiorenderSalary not specified
Full Time
Mid-level (3 to 4 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, MarketingIndustries
Requirements
- 3+ years of experience in Data Science, Machine Learning, or a related technical field
- Proficiency with Python and libraries such as pandas, scikit-learn, PyTorch, or TensorFlow
- Experience working with Large Language Models (LLMs) (e.g., OpenAI, Anthropic, or Hugging Face frameworks)
- Proven ability to build and deploy end-to-end AI or automation solutions (e.g., chatbots, process automation, internal copilots)
- Strong analytical skills and ability to communicate technical concepts to business stakeholders
- Entrepreneurial mindset and comfort working in a fast-paced, cross-functional environment
- Preferred Qualifications
- Experience using APIs and orchestration tools to connect AI agents with business systems (e.g., Salesforce, Jira, internal databases)
- Experience working with SQL databases
- Familiarity with prompt engineering, RAG (retrieval-augmented generation), or fine-tuning LLMs
- Experience in SaaS, marketing technology, or digital platforms
Responsibilities
- Design and Build AI Agents: Develop AI-powered agents and automation tools to optimize internal processes, improve decision-making, and enhance employee productivity
- Prototype & Experiment: Rapidly test and iterate on generative AI applications (e.g., using LLMs, embeddings, or fine-tuning models) to solve real business challenges
- Collaborate Cross-Functionally: Partner with business leaders to identify use cases, scope technical requirements, and integrate solutions with internal systems
- Data Analysis & Modeling: Use statistical and machine learning techniques to extract insights, model behaviors, and inform strategic recommendations
- Evaluate & Scale: Measure the impact of deployed AI tools, refine models, and guide the adoption of successful pilots across the organization
- Stay Ahead of AI Trends: Track emerging technologies in generative AI, automation, and data science, recommending how Constant Contact can strategically leverage them
Skills
Python
pandas
scikit-learn
PyTorch
TensorFlow
LLMs
OpenAI
Anthropic
Hugging Face
Machine Learning
Data Science
Generative AI
Embeddings
Fine-tuning
Constant Contact
Digital marketing solutions for small businesses
About Constant Contact
Constant Contact offers digital marketing solutions for small businesses and nonprofits, focusing on email and social media marketing. Their user-friendly tools help clients create effective marketing campaigns to engage their target audiences and drive sales or donations. Operating on a subscription-based model, Constant Contact provides various pricing tiers to accommodate different business sizes, making their services accessible to all. The company aims to simplify marketing for organizations that may lack the resources or expertise to manage complex campaigns.
Waltham, MassachusettsHeadquarters
1995Year Founded
$420.8MTotal Funding
GROWTH_EQUITY_VCCompany Stage
Consumer Software, Social ImpactIndustries
1,001-5,000Employees
Benefits
Health Insurance
Paid Vacation
Hybrid Work Options
Professional Development Budget
Paid Sick Leave
Paid Holidays
Risks
Increased competition from AI-driven platforms like ActiveCampaign and Mailchimp.
Potential strategic shifts due to the sale of Siris Capital's ownership stake.
Data privacy challenges from integrations with platforms like Square.
Differentiation
Constant Contact offers AI-powered tools like Campaign Builder and BrandKit.
The company integrates with over 300 apps, including Square and HostGator.
Constant Contact provides a subscription-based model with various pricing tiers.
Upsides
Constant Contact is recognized as a market leader in email marketing.
The partnership with Square enhances marketing and transaction capabilities.
Expansion in APAC positions the company for growth in Asia-Pacific.
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