Data Pro

Senior Python / AI Engineer

Role Overview

We are looking for a Senior Python/AI Engineer with strong experience in machine learning, data engineering, cloud-based architectures, and AI agent pipelines.

You will work directly with the system architect to design and build:

• AI-powered data pipelines,
• prediction and scoring models,
• market-resolution oracles,
• agentic processing pipelines (AWS Bedrock / LangChain / custom),
• high-performance AWS-backed microservices and event-driven workflows.

This role is suited for a self-driven engineer who can operate in a fast-moving architecture.

Key Responsibilities

AI / ML

• Develop and train ML models for market signals, behavioral patterns, user risk segmentation, anomaly detection.
• Implement embedding pipelines, vector search and semantic analysis using:
  AWS Bedrock (Titan, Claude), SageMaker, LangChain, FAISS, OpenSearch, or local pipelines.
• Build LLM-based agents using LangGraph, LangChain, AWS Bedrock Agents, or custom orchestration.
• Work with HuggingFace, PyTorch, scikit-learn, Transformers, Nomic embeddings, etc.

Python Engineering

• Design clean, modular services for data collection, processing, analytics and agentic workflows.
• Build real-time pipelines using:
  asyncio, WebSockets, FastAPI, Redis Streams, Kafka, Celery, Apache Beam (optional).
• Implement microservices interacting with internal APIs, AWS services and data layers.
• Write production-quality Python (3.10+) with Pydantic, SQLAlchemy, Poetry/pipenv, type checking (mypy), and tests (pytest).

Data Engineering

• Create ETL/ELT pipelines aggregating both on-chain and off-chain datasets using:
  AWS Glue, AWS Lambda, Step Functions, Athena, S3, DynamoDB Streams, Kinesis.
• Optimize storage and data access: PostgreSQL, DynamoDB, Redis, S3, OpenSearch.
• Implement observability and monitoring: CloudWatch Logs, Metrics, X-Ray, OpenTelemetry.

DevOps / Cloud (nice to have)

• Experience with AWS:
  • Lambda (Python runtime)
  • ECS Fargate
  • Bedrock (LLMs, embeddings, agents)
  • SageMaker (model training & deployment)
  • SQS, SNS, EventBridge
  • API Gateway
  • OpenSearch
  • Neptune (graph DB)
  • KMS, IAM best practices
• Build and monitor ML services in production using:
  SageMaker endpoints, CI/CD, Docker, Terraform, GitLab CI.

Requirements

Must-Have

• 5+ years of Python engineering experience.
• Strong background in AI/ML, especially NLP and agent-based architectures.
• Experience with LLMs, embeddings, RAG, and vector DBs (FAISS, OpenSearch, Pinecone).
• Strong understanding of async Python and distributed systems.
• Experience with data pipelines (ETL/ELT), real-time event-driven processing.
• Ability to work independently and architect solutions end-to-end.
• Familiarity with AWS cloud services (at least S3, Lambda, API Gateway, CloudWatch).

Nice-to-Have

• Experience with blockchain (EVM, Polygon, oracles).
• Experience with AWS SageMaker training pipelines.
• Understanding of smart-contract-driven workflows.
• Experience with graph analytics: Neo4j, AWS Neptune, RDF/Gremlin.
• Basic Solidity understanding.
• Experience with agent frameworks such as LangGraph.

About the Role

We are seeking a Frontend Engineer with strong React and React Native experience to help build a cross-platform web and mobile application using a modern TypeScript-based stack.

Responsibilities

• Build and maintain a Vite + React web application.
• Develop a React Native (Expo) mobile application with feature parity.
• Implement:
  • Zustand for local/client state.
  • React Query for server state, caching, and background refresh.
  • Tailwind and NativeWind for styling.
  • i18next for internationalization.
• Integrate WebSockets for real-time data.
• Build multi-step user onboarding and secure user flows.
• Create robust, type-safe forms using React Hook Form + Zod.
• Apply analytics tracking via a custom client SDK.
• Write automated tests:
  • Vitest
  • React Testing Library
  • Playwright (E2E)
• Contribute to a Turborepo monorepo and shared packages.
• Collaborate with backend engineers for efficient API integration.
• Ensure performance, accessibility, reliability, and responsive UI across devices.

Required Skills

• 3+ years experience with modern frontend engineering.
• Strong knowledge of:
  • React, React Native, TypeScript
  • WebSockets & REST API integrations
  • State management patterns
• Experience with:
  • Utility CSS (Tailwind)
  • Form validation libraries
  • Automated testing (unit, integration, E2E)
• Ability to execute quickly and independently within defined timelines.
• Comfortable working in a monorepo with shared components.

Nice to Have

• Experience with:
  • wagmi/viem or similar libraries
  • AWS (CloudFront, S3, Lambda)
  • Expo EAS and OTA update workflows
• Background in real-time or data-heavy applications.
• Performance optimization and accessibility best practices.

About the Role:
We are seeking a skilled Full-Stack Engineer with experience in React, React Native, Node.JS, TypeScript & Python to join our team. You will work on building scalable, high-performance applications and contribute across the full technology stack, from backend services to frontend interfaces.
 

Responsibilities:

• Develop and maintain backend services using Node and Python
• Build responsive, user-friendly frontend applications using TypeScript (React, Node.js, or similar)
• Design and implement APIs, microservices, and integrations
• Collaborate with product and design teams to deliver high-quality features
• Optimize applications for performance, scalability, and maintainability
• Participate in code reviews, testing, and deployment processes
  
  
  
  Requirements:
• Strong experience with TypeScript, including frontend frameworks (React, Angular, or Vue)
• Proficient in Node for building backend services and microservices
• Solid knowledge of Python for scripting, data processing, or backend development
• Experience with databases (SQL and NoSQL) and API design (REST, GraphQL)
• Familiarity with containerization and cloud platforms (Docker, Kubernetes, AWS, GCP)

• Understanding of software development best practices, version control (Git), and CI/CD

   

  Nice-to-Have:

• Experience in real-time applications or trading platforms
• Exposure to AI/ML pipelines
• Knowledge of DevOps practices