Senior Software Engineer

Senior Software Engineer (AI & NLP Focus)

About the Role & Company

We are a fast-growing SaaS startup revolutionizing the professional services industry through our AI-powered assistant platform. Our mission is to empower professionals with cutting-edge technology that streamlines workflows and enhances decision-making. Join us and be a part of something transformative!

As a Senior Software Engineer, you will play a pivotal role in building and scaling our innovative platform. You'll design, develop, and maintain high-performance systems while collaborating with cross-functional teams to deliver impactful new features. If you’re passionate about AI, excited by technical challenges, and eager to make a difference, we want to hear from you.

Key Responsibilities

• Design and implement machine learning algorithms for indexing, summarization, and search functionalities.
• Oversee data acquisition, storage, and distribution to ensure quality and privacy compliance.
• Perform data preprocessing including normalization, transformation, and feature engineering.
• Develop scalable and efficient machine learning models using TensorFlow or PyTorch.
• Translate research algorithms into production-ready code.
• Develop tools to monitor model performance and address any degradation or anomalies.
• Define and implement evaluation metrics for model efficacy, cost, and latency.
• Update and maintain models in response to performance or new data.
• Communicate machine learning concepts and outcomes to non-technical stakeholders.
• Collaborate with software and DevOps teams to integrate and deploy ML models in the cloud.
• Work closely with business teams to align technical solutions with company goals.

Required Qualifications

• Bachelor's degree in Computer Science or a related field.
• 5+ years of professional Python development experience.
• Strong SQL skills (PostgreSQL or MySQL).
• Experience with RESTful API development and asynchronous programming.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and microservices architecture.
• Strong problem-solving ability and attention to detail.

Preferred Qualifications

• Proficiency in TypeScript and React.
• Experience with DevOps tools and practices (CI/CD, Docker, Kubernetes).
• Understanding of NLP and machine learning concepts.
• Background in data engineering, ETL, or big data tech (e.g., Spark, Hadoop).
• Knowledge of professional services industries is a plus.

Ideal Candidate Profile

• AI & NLP Enthusiast: Skilled in NLP techniques with experience in implementing and fine-tuning LLMs.
• Innovator: Familiar with AI/NLP libraries like Transformers, spaCy, NLTK, and has built conversational AI or similar projects.
• Lifelong Learner: Keeps up with the latest in AI, contributes to open-source, and is driven to push boundaries.
• Effective Communicator: Can explain complex technical ideas to both technical and non-technical audiences.

What's On Offer

• Competitive salary and equity package.
• Opportunity to work on groundbreaking LLM-powered technology.
• Dynamic, collaborative startup culture.
• Ongoing professional development and career growth.
• Flexible work arrangements tailored to your lifestyle.