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Role Overview We are seeking a Senior AI Developer (GenAI specialization) to design, build, and operate production‑grade Generative AI systems that enable natural‑language interaction over large‑scale enterprise…
Role Title : AI/ML – Python Engineer | Engineering as a Service/ Operate Location: Pune & Chennai Entity : Deloitte Touche Tohmatsu India LLP We are looking for an AI/ML Engineer with 4 to 6 years of hands-on…
Consultant Software engineer - Python, Agentic AI & AI Platform Engineering Role Overview We are seeking an experienced Lead Software Engineer - Python, Agentic AI & AI Platform Engineering to lead the design,…
Manager | AI Engineer | Bengaluru | Control Assurance • Job requisition ID : 110969 • Location : Bengaluru • Entity : Deloitte Touche Tohmatsu India LLP The Team Assurance is about much more than just the numbers. It’s…
Senior ML Engineer on PitchBook's AI & ML (Insights) team, building and deploying NLP, GenAI, and LLM-powered features that extract insights from PitchBook's structured and unstructured financial data. Day to day: end-to-end model design, training, deployment, and maintenance using Python, transformers, LLMs, and scalable data pipelines (Kafka, Airflow, Snowflake), onsite in Seattle 5 days/week.
Machine Learning Engineer on PitchBook's AI & ML (Insights) team, building and deploying end-to-end NLP/GenAI models (summarization, semantic search, classification) that extract insights from PitchBook's financial data. Stack centers on Python, SQL, transformers/LLMs, LangChain, Kafka, Airflow, Snowflake, and Docker/Kubernetes.
Fully remote Applied AI Product Engineer at VetsEZ's EZLabs division, building AI-powered healthcare products (patient engagement, care coordination, claims management) for a federal healthcare modernization project. Day-to-day work centers on Claude Code, Python/TypeScript full-stack development, and LLM/RAG integrations; US citizenship and continental US residence required.
Senior technical product/project manager (employed via hireworks) leading delivery of an enterprise AI knowledge and data platform for a US AI-engineering consulting firm: scoping SOWs, running agile sprints with backend and AI engineers, and governing API integrations with client systems. Fully remote within Colombia, Argentina, or Brazil.
Principal ML Engineer at Vumedi, a video education platform for 250,000+ physicians, to lead architecture of its AI-powered discovery platform — designing recommendation systems, semantic search, RAG/knowledge-graph retrieval, and LLM-powered experiences, working directly with the CTO. Based in Oakland, CA.
Senior backend/AI engineer at a small team building AI software for public safety and criminal justice. Day to day: design secure distributed systems, deploy LLMs and vision models in production, and build RAG, semantic search, and agentic pipelines for evidence analysis. Hybrid role based in San Francisco.
A hands-on architecture lead at Coursera (now merged with Udemy) who designs and builds the shared agentic AI platform — RAG/semantic context, agent orchestration, guardrails, security, and LLM cost optimization — so small business pods can ship AI-native workflows in weeks. Also a people leader, reporting to the VP of AI and Operations.
Lead Agentic AI Engineer at CodeRoad architects and ships enterprise-grade autonomous multi-agent systems integrated with Salesforce, leading technical standards and delivery. Core stack includes Anthropic Claude, LangGraph/LangChain, MCP servers, LLM evaluation harnesses (Promptfoo/Ragas), and observability tooling.
Senior forward-deployed engineer who partners with client business users and SMEs to rapidly prototype and deliver enterprise AI and data applications from discovery through production launch, stabilization, and handover. Core stack is Python, PySpark, SQL, FastAPI, cloud data platforms, plus GenAI work with Claude, RAG, and agentic AI under MLOps/LLMOps practices.
Middle Applied Scientist/ML Engineer at outsourcing firm N-iX, working on a client project for a large stock-content marketplace: improving discovery and curation of AI training datasets. Day to day involves designing experiments, evaluating retrieval/classification/ranking systems, error analysis, and statistical sampling using Python, SQL, and AWS/GCP.
AI Data Engineer at Trustmarque Ultima, building production-grade data pipelines and retrieval capabilities (RAG, semantic search) that power AI applications, agents, and analytics. Works alongside AI, integration, data, architecture, and security teams to ingest structured and unstructured data.
We create possibilities that move life and commerce forward Welcome to Manhattan. Every day, our supply chain commerce technology connects two billion people to 20 billion consumer choices. In the warehouse, on the…
Develops and improves CV/Document AI pipelines that extract data from scans and photos of documents — document typing, zone detection/segmentation, OCR, field extraction, postprocessing and validation — plus prototypes LLM/vision-LLM AI agents and monitors quality in production. Core stack: Python, PyTorch/TensorFlow, OpenCV, Tesseract/EasyOCR/PaddleOCR, LLM frameworks.
Senior hands-on data engineering lead at YLD, a London-based software consultancy: you deliver client data work (pipelines, warehouses, transformation layers) with SQL, Python, dbt, Snowflake/Airflow-class tooling, act as the technical authority in client pitches, and grow YLD's data practice.
Senior full-stack engineer at PLACED, a Berlin AI startup building agentic-AI pipelines for Europe's recruitment agencies. Day to day: build Next.js/React frontends, FastAPI and Hono/Bun backends (helping migrate Python to TypeScript), PostgreSQL/pgvector schemas, LLM pipelines, and AWS/GCP infra. Hybrid, 3+ days on-site in Berlin Mitte or Potsdam-Babelsberg.
Lead a team to design and build scalable full-stack applications for private-market software, using Python/FastAPI or Java on the backend, React/TypeScript on the frontend, and AWS cloud services.
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