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Design and build robust data ingestion pipelines, transforming raw CSV/TSV data into structured, queryable datasets. Model custom entities and map diverse data sources into standardised target schemas. Build and manage…
The Senior Full Stack Engineer - Senior Vice President is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology Team.…
Weare seeking an AI Solutions Engineer (Agentic AI) to design, build and deploy enterprise AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and AI Agents. You will develop…
Hands-on AI engineering role at an education platform company in Noida (remote-friendly): design and own the LLM intelligence layer — RAG, agents, model routing, personalization, evaluation, and observability — building production-grade, cost-efficient systems in Python across OpenAI, Anthropic, and Gemini APIs.
Founding applied AI research engineer at an early-stage startup building an AI platform for behavioral healthcare — the role splits between AI research (LLMs, RAG, agents, clinical datasets, publications, federal proposals) and building production AI systems for clinician decision support and digital therapeutics. Core stack: Python, modern LLM/agent frameworks, and cloud platforms. Equity-heavy f
Design, train, and productionize ML, deep learning, and generative AI models end-to-end — from data ingestion and feature engineering to deployment, monitoring, and retraining — for EveoAI's AI Core SaaS platform. Core stack: Python, PyTorch/TensorFlow, NLP/LLM/RAG, and MLOps tooling like MLflow, Azure ML, Docker, and Kubernetes.
Ravenna Software, an early-stage Seattle startup (remote-friendly), is hiring an AI Engineer to design, build, and operate production LLM-powered product systems — including RAG/retrieval pipelines, prompt and tool orchestration, evaluation frameworks, and reliable, observable backend infrastructure. Salary is $160k–$200k plus equity.
Veloxio Technologies builds web apps and AI automation for clients and seeks a senior engineer to own the full lifecycle: MERN-stack development (Node, React, MongoDB), LLM integration (OpenAI/Anthropic, LangChain, RAG), and web scraping/automation pipelines with Puppeteer/Playwright, Docker, and cloud deploys. Pays ₹8–14L/year, remote from Gurugram.
Senior Software Engineer to design, build, and own features of SitScape's DEEP no-code enterprise platform, leading projects from concept through deployment and mentoring junior engineers. Day-to-day is full-stack work with JavaScript/ES6+ and PHP, MySQL/PostgreSQL, REST APIs, and AWS, with AI/ML work like RAG and LLM integration as a plus.
At Vanguard's Corporate Services division, we are seeking a Machine Learning/ AI Engineer to design, build, and scale enterprise AI/ML solutions that drive business innovation and support the development,…
Job Description: Evergreen pipeline About the Team: Our Technology team drives the evolution of our Engineering, Data, Product and User Experience functions. With a keen focus on delivering cutting-edge solutions, we…
ROLE OVERVIEW Red Arch Solutions is seeking an experienced AI/ML Data Engineer to collaborate on the design and implementation of enterprise-scale data platforms supporting a large-scale Agentic AI transformation…
Full-Stack AI Engineer Position Type: Full-Time, Remote Working Hours: U.S. Business Hours Location: Remote (LATAM, Eastern Europe, Pakistan, India, South Africa Preferred) About the Role At Pavago, one of our clients…
In this role, you'll make an impact in the following ways: Lead a portfolio of FDE engagements across business and platform domains; set priorities, allocate engineering capacity, and ensure engagements are scoped…
Data Scientist / AI-ML engineer for a leading Dutch financial organization, building a next-generation semantic search platform. Day to day: train ML models for semantic search and personalization, optimize embeddings and hybrid search in Elasticsearch, implement LLM use cases, build dashboards, and support AI governance within an Agile team.
Staff engineer who owns the AI platform at an ocean-exploration company: architecting Amazon Bedrock agent orchestration, building the end-to-end RAG/retrieval pipeline on AWS (embeddings, OpenSearch Serverless), plus LLMOps, evaluation frameworks, and secure agent governance for production ocean data. Requires 8+ years backend/infra (Python/TypeScript) with deep AWS expertise.
Senior Software Engineer at NTT DATA building enterprise-grade AI solutions (LLMs, RAG, AI agents, document processing, workflow automation) for clients in banking, healthcare, and other industries. Day to day: backend services and APIs, web frontends, and enterprise integrations using Python/Java/Node.js, React/Vue/Angular, SQL/NoSQL databases, and Docker.
Contract GenAI engineer building knowledge-graph-grounded LLM agents for a global life-sciences organisation: designing agents, RAG and retrieval tooling, MCP-style enterprise integrations, plus benchmarking, testing and monitoring. Python, SPARQL/RDF and cloud-native fundamentals core; EU-remote with occasional workshops in Germany.
Senior MLOps Engineer building and running the ML/GenAI infrastructure behind Elsevier's research platforms (Scopus, ScienceDirect), turning NLP, search, recommendation, and RAG models into secure, scalable production services. Core stack: Python/Java/Scala, AWS SageMaker, MLflow, Databricks, Elasticsearch/OpenSearch, and vector/graph databases.