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About BoWatt BoWatt is building agentic requirements and system engineering software for manufacturing . We believe AI will reach PhD-level engineering capability within the next 10 years . This will unlock massive…
Design and deploy AI systems for medical imaging, including LLMs, OCR, and computer vision, using Python, FastAPI, and Docker in a healthcare-focused company.
Designs data schemas, ontologies, and lakehouse architectures to make AI-native drug discovery possible, transforming raw scientific data into FAIR-compliant, machine-actionable assets for both scientists and AI agents.
Build and automate secure CI/CD pipelines to deploy and manage AI models (LLMs, agents) for a Singapore bank’s enterprise-wide AI transformation, using Kubernetes, Docker, and cloud platforms.
Senior engineer building and operating production-grade generative AI systems (RAG, agents, copilots) for a large investment firm, integrating with enterprise data and MLOps tooling.
Lead a team building and deploying production-grade AI systems—like copilots and agentic workflows—while coding end-to-end solutions that integrate with enterprise data and meet regulatory requirements in a large financial firm.
Leads the design and implementation of AI-powered applications, focusing on generative AI systems, retrieval-augmented generation, and multi-agent workflows using Python, FastAPI, and cloud platforms.
Senior AI Engineer builds and deploys production-grade AI agents and RAG systems for ACQ Vantage, integrating LLMs with internal tools and optimizing performance and costs.
Build and scale AI-powered financial research platform, processing SEC filings and financial data in real-time, designing data pipelines, and developing backend systems and APIs.
Senior Data Scientist builds and deploys ML models and pipelines to clean, classify, and deduplicate product catalogs and sales data for a global partnership marketing platform, using Python, SQL, and vector search tools.
Designs and deploys enterprise-scale AI/ML and Generative AI solutions using Snowflake Cortex and cloud platforms, guiding clients from discovery to production deployment.
Build and deploy production-grade ML systems (NLP, LLM, classification) to automate healthcare workflows and improve operational efficiency for hospital systems and payors.
Build and deploy AI systems for a social media app, including RAG, multi-agent LLM workflows, and generative media, using Python, LangChain/LangGraph, and GCP.
Senior AI QA Engineer designs and runs automated tests for enterprise AI apps, including LLMs, RAG systems, and AI agents, using Python, Pytest, Playwright, and observability tools to ensure accuracy, reliability, and scalability.
Designs, builds, and deploys AI/ML and GenAI solutions for cloud applications, owning the full lifecycle from model development to MLOps and monitoring.
Builds and deploys AI/ML and GenAI models for cloud applications using Python, PyTorch/TensorFlow, and MLOps tools like MLflow and Langfuse.
Designs and maintains a large-scale healthcare data platform that integrates EHR, genomics, and imaging data to power AI-driven clinical insights for hospital networks.
Design and scale secure, HIPAA-compliant AI/ML solutions for a federal health benefits provider, focusing on LLM integration, RAG pipelines, and agentic workflows across multi-cloud environments.
Design and build AI-native features like LLM-powered chatbots and video search for smart-home products, using agentic AI frameworks and cloud-native stacks.
Designs and maintains data pipelines and infrastructure that feed an internal AI platform, using Python, Prefect, Spark, and cloud services to support investment professionals.
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