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Senior Data Scientist building AI retrieval and knowledge systems for rare disease research at the NIH, working across the full stack from PostgreSQL vector search and LLM application engineering through Next.js/React interfaces and Kubernetes deployment.
A hands-on senior data engineer leading the architecture of the Data Foundation Platform behind Publicis's OneSuite performance-marketing platform — building ingestion/ELT pipelines (Fivetran, Databricks, Airflow, DBT) in Python, SQL, and Spark on AWS/GCP/Snowflake, plus AI-ready infrastructure like RAG and vector retrieval.
Software engineer on NICE's internal IT team building the core AI platform that powers enterprise automation: MCP integrations to enterprise systems, an agent orchestration engine, an LLM Models Gateway, RAG pipelines, and developer tooling — full-stack work mainly in Python or TypeScript on Azure (Azure OpenAI, AI Foundry, AI Search).
A senior developer who uses AI coding tools (Cursor, Copilot, ChatGPT, Claude) daily to design and ship production web apps, APIs, and AI-powered solutions. Core work centers on RAG/GraphRAG, knowledge graphs and graph databases (Neo4j etc.), and LLM integrations with enterprise systems, plus CI/CD and cloud deployment.
Principal Software Engineer builds and maintains ZoomInfo's internal AI platform (Mesh), owning full-stack features, cloud infrastructure, and reliability for thousands of daily users.
Senior Ruby on Rails engineer building SOFTSWISS's online casino platform — high-throughput APIs, payment/wallet flows, real-time game integrations and back-office tooling — using an AI-augmented workflow (Cursor, Claude Code, Copilot) and integrating LLM features. Stack: Ruby/Rails, PostgreSQL, Redis, Sidekiq, Kafka, Docker/Kubernetes.
Build and prototype AI solutions using RAG, LLMs, and modern data infrastructure in a fast-paced R&D environment focused on national security challenges.
Build end-to-end AI-powered travel features using C#, .NET 10, React/TypeScript, LLMs, RAG, and agent capabilities at Musafir. Company Details Musafir is a travel platform focused on building technology-driven travel…
As a Senior API & Integration Engineer, you will own the design and implementation of API orchestration and mediation layers bridging web/mobile apps, telecom networks (USSD/SMS), and core e-wallet engines. You…
Ми — EVERSTAR, перша рекрутингова агенція в MilTech для тих, хто готовий створювати технологічне майбутнє. Але досить про нас, розказуємо про головну вакансію. Це роль в R&D-команді, де інженери різних напрямів…
Компания "Урал Логистика" - надежный партнер в области транспортно-экспедиционных услуг перевозки грузов железнодорожным транспортом. Приглашаем в нашу команду AI-инженера, для участия в создании собственной…
Senior AI/ML Engineer building LLM, RAG, agentic-AI and computer-vision services for the RETAILIQA retail quality-control platform — from architecture and PoCs through to production. Stack: Python, FastAPI, LangGraph, vLLM, pgvector/Milvus; flexible schedule, remote-friendly, based in Yekaterinburg.
A DevOps engineer (3–6 yrs) embedded in enterprise client teams, taking AI/LLM applications from prototype to secure production on AWS — building CI/CD pipelines, containerizing with Docker/Kubernetes, provisioning with Terraform, and setting up model serving (Bedrock, vector databases) and observability.
Remote (India-based) senior AI engineer who builds production generative-AI systems end to end for enterprise clients: LLM application architecture, RAG and retrieval layers, agentic workflows, fine-tuning, evaluation harnesses, and inference cost/latency optimization, using Python, LangChain-family tools, vector databases, and PyTorch/Hugging Face.
Mid-level Python full stack developer (3-5 yrs) building scalable SaaS platforms: Django backend services and REST APIs, React frontends, Celery tasks, and PostgreSQL with pgvector. The role also develops RAG-based AI chatbots using LLM platforms (Claude, OpenAI) and deploys on AWS (EC2, S3, RDS, Lambda) with CI/CD.
Forward-deployed AI & Data Engineer who owns client data estates end to end: assessing client data, building AI-ready pipelines, integrations and retrieval layers, and taking them to production inside client environments. Work centers on SQL, Python, ETL/ELT, cloud warehouses (BigQuery, Snowflake, Databricks) and AI-native tooling like coding agents and LLMs.
Gleantap is hiring a backend engineer to maintain and improve its existing PHP SaaS backend while building AI-native features: Python-based AI agents, LLM integrations (OpenAI/Claude/Gemini), RAG with vector databases, and ETL/data pipelines powering ML-driven product capabilities.
Backend developer role (5+ yrs) in Kochi building and maintaining scalable Python/FastAPI services — REST APIs, microservices, PostgreSQL, AWS, Docker and CI/CD — with GenAI work integrating LLM APIs (OpenAI, AWS Bedrock, LangChain, RAG, vector databases).
Backend engineer (placed via CodeRound AI) at a VC-backed AI startup building an AI operating system for supply chain operations. Day to day: build Java 17+/Spring/Hibernate backend services, work with PostgreSQL, Redis, Kafka and cloud platforms, and own systems from design through production.
Role Summary The Senior AI Engineer (Agents & Applications) will design, build, and operate production-grade agentic systems that coordinate, optimize, and automate decision-making across the design-build-operate…
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