Come Join Our Team At Anteriad and innovate the way B2B marketers make data-driven business decisions.
About Anteriad
We are not just another B2B solution provider. We're problem solvers. We believe that data is the key to unlocking effective solutions that span a range of marketing challenges - from customer acquisition to demand generation to account-based marketing. Data is at the core of everything we do. Our team works tirelessly to create powerful solutions that drive real results for our clients. Whether it's through innovative technology or deep analysis, we're committed to finding the best path to growth for every one of our customers.
Why Join Our Data Engineering Team?
Work with a collaborative team and provide top-rated solutions to Fortune 500 companies. This is an exciting opportunity for an intelligent, energetic, and self-motivated individual.
As a AI Engineer, you will be responsible for utilizing your strong analytical skills and expertise in data science techniques to contribute to our data-driven initiatives. Additionally, you will collaborate with stakeholders to understand business requirements, refine algorithms, and present findings in a clear and concise manner. Your contributions will help drive innovation and enhance decision-making processes within our organization.
Anteriad means “always moving forward” and we apply that to our company culture by tirelessly promoting an environment that allows our employees to thrive:
- Training & Development with unlimited access to Cornerstone Learning System
- Steady, Full-Time Role
- Mix of Collaborative & Independent Work
- Community Outreach via Anteriad Cares encouraging taking time to volunteer
- Professional Mentoring Program. Career guidance from leadership
- Employee Resource Groups. Collaborate with others that share your passions!
- Great Benefits for you and your family
Benefits We Bring To You:
- General Medical Coverage for employees and family
- Personal Accident insurance
- Employee Term Life Insurance
What You’ll Do:
- Develop and deploy Generative AI models for diverse business use cases.
- Design and implement RAG pipelines to integrate external data sources into LLMs for enhanced responses.
- Perform fine-tuning and prompt engineering on pre-trained LLMs to optimize performance for domain-specific tasks.
- Collaborate with data engineers, product managers, and domain experts to understand requirements and translate them into AI solutions.
- Research emerging trends in AI/ML, particularly in LLMs, RAG architectures, and fine-tuning strategies.
What You’ll Bring:
Required:
- 1-2 years of experience of which at least 6 months in Gen AI / Agentic AI / Workflow / Tools / LLMs.
- Expert in Python eco system.
- Experience in LangChain, LangGraph or similar orchestration tools.
- Exposure to AWS / Azure / Gemini cloud and the supported services is a plus.
- Experience with n8n or similar tools is a plus.
- Exposure to Linux, Docker, Micro services, Serverless
Our Values:
- Lead & Learn We lead with unrivaled vision, innovation and execution, always learning and embracing new ways of doing things to stay out in front
- Collaborate & Celebrate We build great things when we work together as one Anteriad team, celebrating our achievements – both great and small – along the way
- Innovate & Inspire We are always looking for bold new ways to exceed the expectations of our customers and to inspire each other to even greater success
- Do More & Do Good We go above and beyond in the service of our clients and colleagues, and the communities where we live
Top Skills
What We Do
Data Driven.
Tech Enabled.
Growth Obsessed.
Anteriad powers B2B with the industry’s leading data: purpose built, highly-trusted, compliant, campaign ready and with global reach. Providing B2B marketing leaders with depth and scale as well as hyper granularity.
The most demanding B2B and enterprise technology CMOs rely on us to get ahead with our wholistic full funnel approach to the identification of targeted audiences and the delivery of integrated, multi-channel campaigns across traditional and digital media while being accountable for performance and the results we achieve.
