Enboarder
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A Little About Us
Enboarder is the world’s first agentic AI employee journey platform, unifying onboarding, enablement, mobility, and offboarding into a single experience layer.
With AI Assistants and AI Agents working together, Enboarder empowers HR leaders to deliver structured, personalized employee experiences at scale while freeing HR from administrative work. Enterprises like Deloitte, ING, T-Mobile, andCisco use Enboarder accelerate time-to-productivity, reduce attrition, and unlock HR capacity
The result: engaged managers, supported employees, and measurable business impact.
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.
Ready to apply?
Apply to Enboarder
A Little About Us
Enboarder is the world’s first agentic AI employee journey platform, unifying onboarding, enablement, mobility, and offboarding into a single experience layer.
With AI Assistants and AI Agents working together, Enboarder empowers HR leaders to deliver structured, personalized employee experiences at scale while freeing HR from administrative work. Enterprises like Deloitte, ING, T-Mobile, andCisco use Enboarder accelerate time-to-productivity, reduce attrition, and unlock HR capacity
The result: engaged managers, supported employees, and measurable business impact.
Responsibilities:
○ Design and develop new software applications from scratch
○ Work with developers and other teams across the company to build new features and tools.
○ Add new product features using NodeJS language.
○ Write code which is micro services complaint and can be reused.
○ Own problems end-to-end, thinking through everything from user experience, data models, scalability, operability and ongoing metrics.
○ Uphold our high engineering standards and bring consistency to the codebases, infrastructure, and processes you will encounter.
○ Test and debug code, Monitor and troubleshoot production issues
○ Collaborate with experts in product, design, and operations.
○ Proactive and prompt analysis and identification of functional bugs and performance issues
Requirements:
○ Enjoy being a generalist, working on both the frontend, backend, and everything in between to tackle problems and delight customers.
○ Thinking about tools and services, and writing high quality code.
○ We write code using NodeJs, React and other languages like javascript, typescript, Python, shell scripts, AWS cloud services.
○ We use productivity enhancement tools like copilot, cursor etc.
○ Strong knowledge of Databases (either NoSql or RDBMS), DynamoDB and postgres preferred.
○ Rest API development
○ Unit testing of REST API and server side components on NodeJS
○ Working on CI/CD pipeline.
○ Server caching optimisations using memcache, etc
○ Authentication mechanisms like SAML SSO, MFA, etc
○ If you have worked on Integrations across various systems using APIs or messages that experience will be good to have.
○ Taking pride in working on projects to successful completion, involving a wide variety of technologies and systems.
○ Putting yourself in the shoes of your users, and creating an intuitive, delightful experience.
○ You should have understanding around Security for Web Applications and backend processes. Security is very important for us.
○ Holding yourself and others to a high bar when working with production systems.
○ Stitching many different services and processes together, even if you have not worked with them before.
○ Strong understanding of front-end and back-end technologies
○ Experience working in an agile development environment
Experience
○ 3-5 years experience in the IT/Technology industry.
○ 3+ years of experience in NodeJs
○ 3+ years of experience in NoSql / RDBMS, DynamoDB and postgres preferred.
○ 2+ years of experience in working on code version source control tools like Git
○ Experience in sonarqube, use of copilot or similar productivity enhancement tools
Engineering at Enboarder:
○ We work in an environment where it matters to make the right design decisions the first time, and as a result, take on less technical debt.
○ We roll out code to production every 2 weeks.
○ We’re big fans of micro services architecture and are moving a lot of products towards micro services.
○ We like to experiment with new features and do not see failures as bad, but building blocks for future features.
○ We use AWS as our Infrastructure and continually improve. We provide ample opportunities to learn and use new AWS features.
○ Product is a highly collaborative initiative across multiple teams. Engineers are expected to understand and have product input, designing systems towards our long-term product vision.
○ Our customers are fine with fewer features, but are not ok with broken features.
○ People have a strong sense of ownership and accountability for what they’re building.
○ What we build today will be the foundation for other systems in the future.
○ We are very frank on discussing technical matters. If one disagrees with how things are being done, we encourage them to speak up and help us get to the truth faster.
*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.
Ready to apply?
Apply to Enboarder
A Little About Us
Enboarder is the world’s first agentic AI employee journey platform, unifying onboarding, enablement, mobility, and offboarding into a single experience layer.
With AI Assistants and AI Agents working together, Enboarder empowers HR leaders to deliver structured, personalized employee experiences at scale while freeing HR from administrative work. Enterprises like Deloitte, ING, T-Mobile, andCisco use Enboarder accelerate time-to-productivity, reduce attrition, and unlock HR capacity
The result: engaged managers, supported employees, and measurable business impact.
Responsibilities:
○ Design and develop new software applications from scratch
○ Work with developers and other teams across the company to build new features and tools.
○ Add new product features using Python language.
○ Write code which is micro services complaint and can be reused.
○ Own problems end-to-end, thinking through everything from user experience, data models, scalability, operability and ongoing metrics.
○ Uphold our high engineering standards and bring consistency to the codebases, infrastructure, and processes you will encounter.
○ Test and debug code, Monitor and troubleshoot production issues
○ Collaborate with experts in product, design, and operations.
○ Proactive and prompt analysis and identification of functional bugs and performance issues
Requirements:
○ Enjoy being a generalist, working on both the frontend, backend, and everything in between to tackle problems and delight customers.
○ Thinking about tools and services, and writing high quality code.
○ We write code using Python, React and other languages like javascript, typescript, nodejs, shell scripts, AWS cloud services.
○ We use productivity enhancement tools like copilot, cursor etc.
○ Strong knowledge of Databases (either NoSql or RDBMS), DynamoDB and postgres preferred.
○ Strong experience with REST API development, Flask API, and JSON handling.
○ Hands-on experience with Python frameworks or libraries (any of the following is a plus): PySpark, Pandas, NumPy, asyncio, etc.
○ Exposure to ML / GenAI workflows is a strong advantage (model integration, vector DBs, embeddings pipelines, etc.)
○ Unit testing of REST API and server side components on Python
○ Working on CI/CD pipeline.
○ Server caching optimisations using memcache, etc
○ Authentication mechanisms like SAML SSO, MFA, etc
○ If you have worked on Integrations across various systems using APIs or messages that experience will be good to have.
○ Taking pride in working on projects to successful completion, involving a wide variety of technologies and systems.
○ Putting yourself in the shoes of your users, and creating an intuitive, delightful experience.
○ You should have understanding around Security for Web Applications and backend processes. Security is very important for us.
○ Holding yourself and others to a high bar when working with production systems.
○ Stitching many different services and processes together, even if you have not worked with them before.
○ Strong understanding of front-end and back-end technologies
○ Experience working in an agile development environment
○ Knowledge of nodejs is nice-to-have, however not a must.
Experience
○ 4-7 years experience in the IT/Technology industry.
○ 4+ years of experience in Python
○ 3+ years of experience in NoSql / RDBMS, DynamoDB and postgres preferred.
○ 3+ years of experience in working on code version source control tools like Git
○ Experience in sonarqube, use of copilot or similar productivity enhancement tools
Engineering at Enboarder:
○ We work in an environment where it matters to make the right design decisions the first time, and as a result, take on less technical debt.
○ We roll out code to production every 2 weeks.
○ We’re big fans of micro services architecture and are moving a lot of products towards micro services.
○ We like to experiment with new features and do not see failures as bad, but building blocks for future features.
○ We use AWS as our Infrastructure and continually improve. We provide ample opportunities to learn and use new AWS features.
○ Product is a highly collaborative initiative across multiple teams. Engineers are expected to understand and have product input, designing systems towards our long-term product vision.
○ Our customers are fine with fewer features, but are not ok with broken features.
○ People have a strong sense of ownership and accountability for what they’re building.
○ What we build today will be the foundation for other systems in the future.
○ We are very frank on discussing technical matters. If one disagrees with how things are being done, we encourage them to speak up and help us get to the truth faster.
*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.
Ready to apply?
Apply to Enboarder