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Job Summary This position will be responsible for designing, developing, and operationalizing enterprise AI solutions that enable intelligent automation, conversational AI, AI agents, and scalable AI-powered workflows…
Senior ML engineer owning search and recommendation systems (retrieval, ranking, embeddings, experimentation) for Sekai, an AI-driven consumer social app for creating and playing mini apps. Day to day: build feed/discovery/search models, run experiments, and improve engagement and retention.
Senior Software Engineer on Modash's Data Search team builds and improves customer-facing creator search across 400M+ profiles — retrieval, filtering, ranking, relevance, and low-latency serving — including multimodal embeddings and LLM-powered features. Stack: Python, TypeScript/Node.js, AWS/GCP, Elasticsearch, Milvus, Airflow, PySpark.
Associate AI Engineer at Emplay builds LLM-powered features, RAG pipelines, and conversational AI applications using Python (FastAPI/Flask), LLM APIs (AWS Bedrock, OpenAI, Anthropic), and agent frameworks like LangChain, deployed on AWS services such as Lambda, S3, and DynamoDB. Remote role for candidates with 1–2 years of experience.
UtilityAPI is hiring a Senior/Staff engineer to define its AI architecture and lead adoption of AI/ML across product and engineering — taking capabilities from experimentation to production on large utility datasets while mentoring the team. Core stack: Python, Django, AWS (Bedrock), RAG/vector retrieval, PostgreSQL/MySQL, and 3+ TB-scale data pipelines.
Junior ML/AI Engineer building and maintaining AI-powered applications in Python: integrating LLM APIs, preparing datasets, experimenting with prompts and models, and working with embeddings, vector databases, and RAG. Stack centers on Python, Pandas/NumPy/scikit-learn, LLM APIs, Git, and optionally PyTorch/TensorFlow and cloud tools.
Marlabs, an AI and digital solutions consulting firm, is hiring an onsite GenAI Fullstack Engineer in Englewood Cliffs, NJ to build enterprise apps pairing Java/Spring Boot backends with Generative AI — LLM integration, RAG pipelines, vector databases, and Python/FastAPI services deployed via Docker and CI/CD.
Zilliz is a fast-growing startup developing the industry’s leading vector database for enterprise-grade AI. Founded by the engineers behind Milvus, the world’s most popular open-source vector database, the company…
Location: Navi Mumbai,Maharashtra,Inde About Us: Onclusive is the global benchmark for integrated media content, turning enriched data into actionable insight across every channel - online, print, broadcast and social.…
Hands-on senior AI Data Scientist at Conga researching, building, and deploying the NLP, ML, and Generative AI (LLM, RAG, fine-tuning) capabilities behind its revenue lifecycle management platform, which turns contracts, quotes, and agreements into insight. Expert Python/PyTorch work spanning experiments to production at scale.
Build and improve ML/LLM systems that raise the quality of Glean’s AI Assistant and autonomous agents, focusing on evaluation, personalization, and production-grade execution.
Senior backend engineer on ClickUp's Search squad, designing, optimizing, and scaling the search infrastructure that underpins ClickUp's AI workspace — built on backend services over Postgres and OpenSearch, with real-time ingestion pipelines, relevance/speed tuning, and vector search.
Key Responsibilities: Design and implement AI/GenAI solutions aligned with client business requirements. Work directly with clients to understand business challenges and translate them into technical solutions . Lead…
Architect-and-build AI engineer role inside OPSWAT's Enterprise Products team, shipping internal AI systems for the People org: an agentic HR service agent, a governed people-data platform, analytics, and employee lifecycle automation. Core stack is Python with LLMs, RAG, prompt engineering, and vector databases, built to SOC 2/GDPR-grade security standards.
As a Senior Backend Engineer, you will build and maintain AI-powered features and microservices using TypeScript and serverless architectures to enhance sales workflows. You will collaborate in an agile team to integrate LLMs and third-party APIs while focusing on scalable, secure, and high-performance system design.
Designs and builds AI-powered features for a CRM platform using C# and .NET, including agents, copilots, and RAG systems, while ensuring reliability and security.
AI Software Engineer building AI agent capabilities for Creatio's AI-native CRM and workflow platform: designing agents, engineering prompts and context, building RAG, retrieval and evaluation pipelines, and developing C#/.NET backend services. Uses AI coding agents as the primary daily development workflow.
Role & responsibilities Design, develop, and deploy Generative AI applications using Python and Large Language Models (LLMs). Develop and implement Retrieval-Augmented Generation (RAG) pipelines and LLM-based…
Data engineer at DXC Technology building enterprise-scale data platforms on Snowflake for a German client: designing ETL/ELT pipelines, dbt transformations, and data models for reporting and analytics. Core stack is Snowflake, SQL, Python, dbt, Git/CI-CD, and a major cloud platform, with communication in German (B2+).
Senior, architect-level Java engineer working on-site in Yerevan, designing and building scalable, high-performance backend microservices and event-driven systems. Core stack: Java, Spring Boot, RxJava, Redis, MySQL, Kafka; nice-to-haves include search platforms (Vespa, OpenSearch/Elasticsearch) and AI/RAG features.
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