Thiruvananthapuram, Kerala, India
Information Technology
Full-Time
SpotDraft
Overview
About SpotDraft
SpotDraft is an end-to-end CLM for high-growth companies. We are building a product to ensure convenient, fast and easy contracting for businesses. We know the potential to be unlocked if legal teams are equipped with the right kind of tools and systems. So here we are, building them.
Currently, customers like PhonePe, Chargebee, Unacademy, Meesho and Cred use SpotDraft to streamline contracting within their organisations. On average, SpotDraft saves legal counsels within the company 10 hours per week and helps close deals 25% faster.
Job Summary:
As an Applied AI Engineer, you will work at the intersection of AI research and practical implementation. You will develop machine learning (ML) and deep learning (DL) models, integrate them into our SaaS platform, and optimize them for scalability, performance, and business impact.
Key Responsibilities:
Data Engineering & Feature Engineering:
When you join SpotDraft, you will be joining an ambitious team that is passionate about creating a globally recognized legal tech company. We set each other up for success and encourage everyone in the team to play an active role in building the company.
Our Core Values
SpotDraft is an end-to-end CLM for high-growth companies. We are building a product to ensure convenient, fast and easy contracting for businesses. We know the potential to be unlocked if legal teams are equipped with the right kind of tools and systems. So here we are, building them.
Currently, customers like PhonePe, Chargebee, Unacademy, Meesho and Cred use SpotDraft to streamline contracting within their organisations. On average, SpotDraft saves legal counsels within the company 10 hours per week and helps close deals 25% faster.
Job Summary:
As an Applied AI Engineer, you will work at the intersection of AI research and practical implementation. You will develop machine learning (ML) and deep learning (DL) models, integrate them into our SaaS platform, and optimize them for scalability, performance, and business impact.
Key Responsibilities:
Data Engineering & Feature Engineering:
- Work with structured and unstructured data to build high-quality datasets.
- Develop robust feature engineering pipelines to improve model accuracy.
- Implement data preprocessing and augmentation techniques.
- Build and maintain ML pipelines for continuous integration and deployment (CI/CD).
- Implement model monitoring, retraining, and performance tracking frameworks.
- Work with cloud platforms (AWS, GCP, Azure) for AI model deployment and scaling.
- Collaborate with software engineers to integrate AI models into customer-facing SaaS products.
- Develop APIs and microservices for seamless AI-powered functionalities.
- Optimize inference performance for real-time and batch processing scenarios.
- Stay updated with the latest AI research and bring innovative solutions to production.
- Work closely with product managers, designers, and engineers to align AI capabilities with business goals.
- Participate in code reviews, knowledge sharing, and AI/ML best practices.
- Design, develop, and refine AI-generated text prompts for various applications to ensure accuracy, engagement, and relevance
- Craft and optimize prompts that guide our AI systems to generate accurate, informative, and creative outputs
- Build accessible libraries of prompts, keywords, and syntax guidelines for optimal query results
- Develop robust evaluation frameworks to assess AI model performance and prompt effectiveness
- Test and analyze outputs by experimenting with different prompts and measuring against defined metrics
- Create dashboards and reporting tools to track AI performance across multiple dimensions
- Apply human judgment to identify gaps in AI-generated output and refine prompts accordingly
- Implement continuous improvement processes based on evaluation insights
- Experience: 5-6 years in AI/ML engineering, with hands-on experience in Generative AI, NLP and deploying AI solutions at scale.
- Technical Expertise:
- Strong background in machine learning, deep learning, and NLP.
- Proficiency in Python
- Help assess performance metrics, develop novel agent frameworks, create and oversee data workflows, and conduct extensive testing to deploy innovative capabilities.
- Ship with high intent and work with the team to improve your ability to iterate and ship AI-powered features over time.
- Experience with data processing tools (Pandas, NumPy, Spark, Dask).
- Familiarity with MLOps, CI/CD, and cloud platforms (AWS SageMaker, GCP Vertex AI, Azure ML).
- AI Deployment & Optimization: Experience with optimizing models for performance, interpretability, and real-time applications.
- Strong Problem-Solving Skills: Ability to translate business problems into AI-driven solutions.
- SaaS Experience (Preferred): Understanding of how AI enhances SaaS applications and workflows.
When you join SpotDraft, you will be joining an ambitious team that is passionate about creating a globally recognized legal tech company. We set each other up for success and encourage everyone in the team to play an active role in building the company.
- An opportunity to work alongside one of the most talent-dense teams.
- An opportunity to build your professional network through interacting with influential and highly sought-after founders, investors, venture capitalists and market leaders.
- Hands-on impact and space for complete ownership of end-to-end processes.
Our Core Values
- Our business is to delight Customers
- Be Transparent. Be Direct
- Be Audacious
- Outcomes over everything else
- Be 1% better every day
- Elevate each other
- Be passionate. Take Ownership
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