Senior Software Engineer - Intelligence

We believe that entrepreneurs are society's problem solvers. They see opportunities in complexities and drive us towards progress. Osome doesn't want entrepreneurs to be distracted from the important task of searching for the best solutions. By letting us handle all the routine tasks, entrepreneurs can focus on driving their business forward.

We're Osome  - an international fintech startup making the lives of entrepreneurs easier. We help thousands of businesses kick admin, accounting and bookkeeping out of their day-to-day, so they can spend more time on what's important to them. We've developed a unique solution that combines SaaS with a human-in-the-loop approach to provide full-fledged services in real-time.

We're experiencing tremendous growth in both clients and team members. We have over 500 people in our global offices 🌎. We're looking for more bright minds who'd love to change the world by solving complex problems.

What you'll do :

⭐ Design, develop, and optimize AI / LLM-driven workflows , integrating machine learning models into scalable applications.

⭐ Build and maintain APIs and services that facilitate AI / LLM interactions, ensuring efficiency and security.

⭐ Develop and optimize data pipelines , preprocessing and structuring data for AI / LLM models.

⭐ Implement and fine-tune AI inference workflows , optimizing latency, cost, and performance.

⭐ Integrate third-party AI / LLM APIs (e.g., OpenAI, Anthropic, Hugging Face) into applications and automation processes.

⭐ Enhance workflow orchestration , leveraging tools like Apache Airflow, Temporal, or Prefect for managing AI-driven tasks.

⭐ Ensure security, privacy, and compliance in AI / LLM workflows, including data governance and ethical AI practices.

⭐ Collaborate with data scientists and ML engineers , ensuring seamless integration of AI models into production systems.

⭐ Optimize AI deployment strategies , including serverless, GPU acceleration, and edge computing.

⭐ Monitor and debug AI-driven applications , using logging, tracing, and performance analysis tools.

Who you are :

⭐ 5+ years of software engineering experience , preferably with a focus on AI / LLM workflows and automation.

⭐ Strong programming skills in JavaScript / TypeScript and Python , with experience in AI / ML frameworks (TensorFlow, PyTorch, LangChain).

⭐ Experience building and consuming AI / LLM APIs , including fine-tuning and retrieval-augmented generation (RAG).

⭐ Proficiency in designing scalable and efficient workflows , leveraging orchestration tools like Apache Airflow or Temporal.

⭐ Understanding of vector databases (e.g., Pinecone, Weaviate, FAISS) and their role in AI applications.

⭐ Experience with cloud-based AI deployments , using AWS Sagemaker, Google Vertex AI, or Azure AI Services.

⭐ Knowledge of security best practices for AI systems , including prompt injection mitigation and data privacy controls.

⭐ Experience optimizing AI inference pipelines , reducing latency and improving cost efficiency.

⭐ Strong problem-solving skills , with a focus on performance tuning and system scalability.

⭐ Passion for AI / LLM advancements , staying updated on the latest research and technologies.

Our Benefits 🙌

Osome grows alongside you, but we already have a few perks :

⭐ The opportunity to join a goal-driven startup with big ambitions

⭐ An open, inclusive working environment, with founders deeply-rooted in the startup space

⭐ An agile working model focused on goals and performance

⭐ International environment with diverse culture

⭐ Competitive remuneration package

⭐ Training and professional growth allowance up to $5000 per annum

⭐ Remote-first and flexible working arrangements

⭐ Flexible medical benefits scheme

Equal Opportunity Statement

At OSOME, creating a culture where individuals of all backgrounds feel comfortable really matters.

Everyone who applies will receive fair consideration for employment. We do not discriminate based upon race, colour, religion, sex, sexual orientation, age, marital status, gender identity, national origin, disability, or any other applicable legally protected characteristics in the location in which the candidate is applying. We want to ensure that we represent the diversity of talent in the society we live in today.

If you have any accessibility requirements that would make you more comfortable during the application and interview process, please let us know so that we can support you.