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Sr. Software Engineer (San Francisco, CA)
Senior engineer at Baselayer (SF, hybrid) building a cryptographic 'Know Your Agent' identity substrate for AI agents — owning pieces like the OAuth token issuer, sub-millisecond edge JWS verification, or the Passport account system. Hands-on in a Python 3.13/FastAPI monorepo with Go for performance-critical components.
Senior Software Engineer
The Opportunity We're seeking a Senior Software Engineer to join our founding team. This isn’t just a job- it’s a chance to help build and shape the future of legal services from the ground up. You’ll work directly…
Lead Infrastructure Engineer
The Opportunity We're seeking a Lead Infrastructure Engineer to join our founding team. This isn’t just a job- it’s a chance to architect and scale the foundation of an AI-native legal platform from the ground up.…
AI/ML Solutions Architect
Wynagrodzenie B2B: 33400 – 38410 PLN / mies. netto W ITLT pomagamy naszym zaprzyjaźnionym firmom przekształcać ambitne pomysły w cyfrową rzeczywistość. Z nastawieniem na wyzwania, ciekawość technologii i zwinność -…
AI Engineer
Role : AI Engineer (Python & GEN AI - GCP - LLM - RAG) Exp : 7 - 12 years Location : Gurugram/Bangalore/Pune Employment Type : Full-time We are looking for AI Engineers for Claims Intelligence & Data Pipelines work and…
Agentic AI Engineer
Primary Skill : AI/ML, Python, JavaScript Job Description : Experience with AI/ML APIs (LLMs, embeddings, generative AI). Proficiency in Agentic AI: Hands-on experience working with AI-assisted coding platforms (e.g.,…
Technical Product Owner - AI & Agents
Who is Rainforest? Rainforest is an early stage payments-as-a-service startup that has developed a solution that makes monetizing payments for vertically focused software platforms fair and simple. We focus on…
Gen AI Architect
Key Responsibilities GenAI & Agentic AI Architecture Architect end-to-end GenAI-first and Agentic AI solutions on AWS using: Amazon Bedrock Amazon AgentCore Strands SDK Multi-Agents AWS Agents for Bedrock Knowledge…
Senior Data Engineer
Lead Data Engineer owning the architecture, scalability, and technical direction of Amtech's Cloud Data Platform—designing data warehouses, ETL/ELT pipelines, tenant data stores, and feature stores that power analytics and AI agent initiatives using cloud platforms (AWS/Azure/GCP), big data frameworks (Spark, Kafka), and warehousing tools (Snowflake/Redshift/BigQuery).
Engineering Architect
About Position: We are seeking an experienced Engineering Architect to lead the design and development of enterprise-scale Generative AI platforms, Agentic AI frameworks, and Retrieval-Augmented Generation (RAG)…
Applied Data Scientist
Own the end-to-end development and production deployment of recommendation and personalization systems for a streaming platform. You will adapt deep learning models and time-series architectures to optimize user retention, pLTV, and content discovery using SQL and production ML tools.
Développeur Senior Python / Node.js – IA, LLM, RAG & Machine Learning Freelance (H/F)
Dans le cadre du développement de projets innovants autour de l’intelligence artificielle, nous recherchons un(e) Ingénieur(e) IA / Machine Learning confirmé(e) pour accompagner un acteur majeur du secteur des médias.…
Software Python Engineer
What You'll Do: Develop and maintain GenAI-powered applications using Python and modern AI frameworks. Build and support Retrieval-Augmented Generation (RAG) solutions for business use cases. Develop backend services…
Principal Product Manager II, AI/Vectors - Elasticsearch
Leads strategy and roadmap for Elastic’s embedding/reranking and vector database, shaping search/AI tech for Fortune 500 clients. Owns vision, technical trade-offs, and cross-team alignment for vector indexing, retrieval quality, and developer-facing APIs.
Principal Product Manager II, AI/Vectors - Elasticsearch
Leads strategy and roadmap for Elastic’s embedding/reranking and vector database technologies, shaping AI-driven search solutions for Fortune 500 clients. Bridges technical teams (engineering/research) to define metrics (recall, latency, cost) and align product vision with market demands.