AlphaPrism AI - Senior Back-End Engineer (Remote)

Tbwa Chiat/Day Inc; São Paulo; Teletrabalho; USD 80.000 - 150.000; Tempo integral

Resumo da oferta

Join a forward-thinking startup as a Senior Back-End Engineer, where you will leverage your expertise in Python and ML to build innovative solutions. This role offers the chance to shape the future of AI-powered analytics while collaborating with a talented team. You'll architect and scale core back-end services, optimize ML models, and implement cutting-edge cloud-native infrastructure. If you're passionate about technology and eager to make a significant impact in a dynamic environment, this opportunity is perfect for you. Be part of a journey that transforms data intelligence and drives meaningful insights!

Serviços

Competitive compensation

Equity options

Remote-first culture

Opportunities for professional growth

Qualificações

• 7+ years of experience in Python development with frameworks like FastAPI and Flask.
• Hands-on experience in ML and Generative AI applications in production.

Responsabilidades

• Develop scalable back-end services and APIs for ML applications.
• Optimize and deploy ML models focusing on efficiency and performance.

Conhecimentos

Python

Machine Learning

Generative AI

Problem-solving

API design

Distributed Systems

Ferramentas

Docker

Kubernetes

AWS

GCP

Azure

PostgreSQL

Redis

Langchain

Descrição da oferta de emprego

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.

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.).
• 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-powered 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.