About AlphaPrism AI

AlphaPrism AI is an early-stage startup based in California, dedicated to building a cutting-edge AI-powered analytics and data intelligence platform. From expert sourcing and engagement to AI-driven data extraction, knowledge graph construction, and conviction-weighted insights, each component plays a critical role in transforming fragmented qualitative data into structured, actionable intelligence. The system seamlessly integrates automated research, human-in-the-loop analysis, and dynamic weighting mechanisms to surface the most valuable, high-conviction expert insights. Together, these initiatives are intended to form the backbone of a next-generation intelligence engine that both captures proprietary market signals while also enabling researchers to interact with, refine, and synthesize data into high-impact investment decisions.

Role Overview

We are looking for a Senior Back-End Engineer (Full-Stack) with a strong background in Python, ML/GenAI infrastructure, and distributed systems. As an early hire, you will play a key role in designing, developing, and scaling our core back-end services, APIs, and ML/GenAI model deployment pipelines. You should have deep experience in architecting robust, modern, scalable, and secure Python-based solutions while working closely with early cross-functional teams.

Responsibilities

Architect and develop scalable back-end Python-based services and APIs for ML/GenAI applications.
Optimize and deploy ML models in production environments with a focus on efficiency and performance.
Design and implement containerized solutions using Docker and Kubernetes for scalable deployments.
Develop and maintain cloud-native infrastructure on AWS/GCP/Azure.
Implement monitoring, logging, and security best practices for reliable production systems.
Work closely with front-end engineers, ML researchers, and product teams.
Optimize database performance and work with NoSQL and SQL databases for handling large-scale data processing.
Participate in code reviews, mentoring, and knowledge sharing with the team.

Minimum Qualifications

Fluent written and spoken English language skills.

7+ years of professional experience in Python development (FastAPI, Flask, Django, etc.).
Deep experience working with Langchain.
Strong hands-on expertise in Machine Learning (ML) and Generative AI (LLMs, embeddings, vector databases, fine-tuning and distillation of models, etc.).
AI agent development & AI agent frameworks
Hands-on experience in running modern GenAI applications in production
Hands-on experience with Docker and Kubernetes for scalable microservices.
Proficiency in cloud platforms (AWS, GCP, or Azure) and cloud-native development.
Experience with CI/CD pipelines and automation tools for streamlined deployment processes.
Deep knowledge of distributed systems and Python data processing frameworks.
Strong understanding of API design and RESTful/GraphQL services.
Proficiency in working with databases, including PostgreSQL, Redis, and vector databases (e.g., Pinecone, Weaviate).
Strong problem-solving skills and the ability to work in a fast-paced, autonomy-biased startup environment.

Nice-to-Have Skills

Experience with MLOps and tools like MLflow, Kubeflow, etc.
Familiarity with LLM deployment frameworks such as Hugging Face, LlamaIndex, or OpenAI’s API.
Understanding of security best practices in ML and cloud-based systems.
Experience in high-performance computing (HPC) and GPU optimization (CUDA, TensorRT, etc.).
Prior experience in a startup or fast-moving tech environment.

Why Join AlphaPrism AI?

Be part of a fast-growing startup shaping the next generation of AI-power data intelligence platform.
Work on cutting-edge ML/GenAI solutions with a world-class team.
Competitive compensation, equity options, and remote-first culture.
Opportunities for professional growth and technical leadership.