AI Engineer/Senior AI Engineer
Enboarder
A Little About Us
Enboarder is a global leader in employee onboarding, helping enterprises deliver best practice HR processes that build and sustain high performance at scale.
Our AI-driven Intelligent Journey Platform empowers HR leaders to deliver best-in-class, personalized, cross-functional onboarding journeys that significantly accelerate employee time-to-value by connecting new hires with the right people, tools, and resources.
The platform also powers critical cross-functional journeys across the employee lifecycle, from internal mobility to offboarding, automating cumbersome administrative tasks that empower HR to do much more with less!
What’s Enboarder like?
We’re a SaaS tech company that got our start in Australia in 2015. We’ve grown from a small team operating out of Sydney to distributed teams across APAC, EMEA, the U.S., and India! You’ll find the expected perks like a flexible working environment, equity, competitive compensation, paid parental leave, and flexible schedules. But you’ll also find that our business impact goes beyond the work we do for our clients and is just as global as our team.
Some things we can offer you:
- Competitive compensation and performance based bonus structure
- Flexible working schedule
- A chance to shape employee engagement and employee experience best practices across the globe
- Company recharge days
Key Responsibilities
As a AI Engineer/Senior AI Engineer and a key member of our engineering team in India, you will be responsible for designing, building, and owning the end-to-end lifecycle and release of our most critical AI-powered features within a microservices architecture. This role requires a balance of advanced technical depth in AI/ML and a strong sense of product ownership, ensuring our solutions deliver tangible user value at scale.
- End-to-End AI System Ownership
- Design & Development: Design, build, and deploy production-grade AI systems, ranging from traditional Machine Learning models to modern LLM-powered features.
- Architecture & Deployment: Lead AI projects from concept to execution, including designing robust microservice architectures, modeling, rigorous evaluation, and secure deployment on AWS.
- Data Expertise: Work extensively with unstructured data, chunking, embeddings, vector databases (e.g., Pinecone, pgvector), and address complex real-world data quality challenges.
- Production Standards: Own the release process end-to-end, applying high engineering standards to ensure scalability, operability, and maintainability, aligning with Enboarder’s microservices philosophy.
- Generative AI & LLM Focus
- LLM Integration: Evaluate, integrate, and operationalize LLM-based tools and APIs, including but not limited to Anthropic Claude and AWS Bedrock, to enhance product capabilities.
- Advanced Techniques: Apply expertise in prompt engineering, Retrieval-Augmented Generation (RAG), and advanced evaluation metrics for generative outputs.
- Agentic Systems: Explore and implement agentic AI frameworks, workflow orchestration (e.g., Langgraph, CrewAI, StrandsAgents), or multi-agent systems to automate complex user journeys.
- Collaboration, Leadership, and Strategy
- Product Collaboration: Collaborate closely with product, design, and other engineering teams to translate business requirements into high-impact AI capabilities that drive measurable user and business outcomes.
- Technical Leadership: Stay updated on the latest AI/ML advancements, contribute to the company’s long-term technical strategy, and evaluate new technologies for adoption.
- Mentorship: Actively mentor and guide junior AI engineers, fostering a culture of technical excellence, clean code practices, and continuous experimentation.
Required Skills & Experience
- Total Experience: 6+ years of professional experience in the IT/Technology industry, with a substantial focus on building and deploying production systems.
- AI/ML Experience: 4+ years of direct experience in building and deploying ML or LLM-based systems in production environments, ideally within a high-traffic SaaS environment.
- Programming Mastery: Strong proficiency in Python and modern AI/ML libraries (e.g., PyTorch, TensorFlow, scikit-learn).
- Generative AI Tooling: Hands-on experience with LLM-based frameworks such as LangChain, AWS Bedrock, or comparable in-house/open-source solutions.
- Vector Databases: Practical experience working with vector databases (e.g., FAISS, Pinecone, PGVector) for scalable similarity search and RAG implementation.
- Cloud Architecture: Extensive experience deploying, monitoring, and operating applications on AWS, demonstrating deep awareness of scalability, security, and cost-optimization in a microservices environment.
Preferred Qualifications (Nice to Have)
- Familiarity with FastAPI and containerization technologies (Docker, Kubernetes).
- Experience with MLOps tools such as MLflow, Airflow, or similar workflow orchestration platforms.
- Ability to balance technical trade-offs between model performance, inference cost, and system complexity in AI deployments.
- Direct experience with Fine Tuning or Pre-training large language models (LLMs) on domain-specific data.
*NOTE:* Hybrid work with 3 days in office.
Interested in Joining the Team?
Great, apply now! Someone from our team will reach out to you about the next steps.
The Enboarder team is made up of people who excel in a wide variety of disciplines. Each member of our team brings their unique perspective and passions to everything we do. We encourage you to apply even if you don’t feel that you meet every single requirement. We’re eager to meet people that believe in our mission and can contribute to our team in a variety of ways—not just candidates who check all the boxes. We want our employees to feel comfortable expressing their true selves and to come, stay, and do their best work with us. We hope you’re feeling excited about the opportunity to join our team!
Creating a safe and inclusive workplace is critical to the success of Enboarder and of our employees. It’s our aim to recruit, hire, and promote without bias against race, color, religion, sex, sexual orientation, gender identity, marital status, veteran status, or any other status protected by applicable law. As we learn and grow we’re committed to ensuring that these ideals are at the forefront of everything we do. All information collected during our application and interview process will be stored in accordance with the Privacy Act 1988 and Australian Privacy Principles.
Please reach out to talent@enboarder.com if you have any questions or concerns.