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Mission Integration Engineer, AI (Starshield) - Top Secret Clearance
Engineer AI-powered applications for secure government satellite missions, building full-stack systems with LLMs and cloud-native tools in Hawthorne, CA.
Software Engineer (AI Data Engineering)
Software engineer on SpaceX's AI Data Engineering team building AI-powered internal tools for launch vehicle and spacecraft engineers — agentic AI systems, MCP servers, RAG-based search, and data pipelines over large telemetry datasets that automate data review and repetitive work. On-site in Hawthorne, CA; Python-centric with full-stack exposure.
Sr. Software Engineer (AI Data Engineering)
Senior software engineer on SpaceX's AI Data Engineering team builds AI-powered automation and internal tools — agentic AI systems, MCP servers, RAG search, and data pipelines over large telemetry datasets — to take repetitive engineering work off engineers' plates for launch vehicles and spacecraft. Onsite in Hawthorne, CA; Python-centric with full-stack dashboard work.
Senior Ai & Data Engineer - Rif. 100512
Senior Data Scientist / AI engineer at Kiwi Data Science (Bresso, MI) who independently leads client Data & AI projects end to end — from requirements to delivery — building LLM/Generative-AI and multi-agent solutions plus statistical and ML models, mainly in Python and SQL. Hybrid role with three days a week of smart working.
AI Data Engineer (R-20104)
Data Engineer II in Dun & Bradstreet's AI & Ingestion team designs and runs production AI-powered data pipelines: acquiring and ingesting data from web collection, APIs and file feeds, then using LLMs/RAG on a GCP cloud platform (BigQuery, Dataflow, Vertex AI) for extraction, classification and entity matching, with strong Python/SQL.
Forward Deployed Engineer
Contract role at Realfy building custom AI SDR agents (voice, chat, email, WhatsApp) for clients: running discovery calls, designing multi-agent systems and RAG pipelines, integrating CRMs/telephony, and tuning latency and accuracy in production. Stack: Python/TypeScript, LLM APIs, vector DBs, voice stacks like Deepgram, ElevenLabs, LiveKit.
Senior Software Engineer (Python)
Senior Python engineer on a small, remote team at Hostfully building AI-powered features for its vacation-rental property management platform. You'd own Python (Flask) backend services end to end, take LLM features from prototype to production, and mentor engineers, with occasional React frontend work.
AI Product Engineer, Full-Stack (Applied AI / Agents)
Compensation: $50k – $85k • No equity About the role Wired2Scale manages billions in client ad spend. Behind that spend is a tech problem most companies never face: automating decisions on accounts spending $1M+ a day,…
Senior AI Engineer (LLMs, Python, AWS)
Contractor role via Niuro for a US tax software company: build and stabilize production LLM/agent systems, integrate AI via REST APIs, and operate the services on AWS/Azure with CI/CD and infrastructure-as-code. Core stack is Python/FastAPI with LLM platforms like OpenAI, Anthropic or Bedrock; 100% remote from Latin America, paid in USD.
Senior Software Engineer
Senior Software Engineer at Cypris, an early-stage AI startup building a vertical AI platform for corporate R&D teams. Day to day: hands-on design and building of core data infrastructure, APIs, and UI that power AI agents, using Python, GCP, PostgreSQL, and Elasticsearch on a small, flat, fully remote team.
Senior Backend Engineer: Machine Learning Infrastructure
Builds and operates the distributed Python backend services and platform behind Constructor's ML infrastructure — model serving (incl. LLMs), vector storage, and data pipelines — so ML and product teams can run ML at scale. Fully remote, AWS/Kubernetes-focused, $80k–$120k plus stock options.
GenAI Cloud Engineer
Builds and deploys enterprise-scale GenAI solutions — AI agents, agentic RAG apps, and cloud-native AI platforms — for a client in Newark, NJ (hybrid, 3 days onsite, long-term contract). Core stack: Python, JavaScript/TypeScript, AWS (Lambda, Bedrock, AgentCore), LangChain/LangGraph, and vector databases.
Junior Data Scientist
Junior Data Scientist at Veloxio Technologies, a startup building AI/ML and web solutions for clients. The role involves building and deploying ML models, Generative AI/LLM applications (RAG, embeddings, AI agents), and data pipelines, working directly under the CTO. Core stack is Python with Pandas, NumPy, and Scikit-learn.
Software Engineer II-Hybrid Role
Mid-level software engineer at Payarc, a payments company, who designs, builds, and maintains payment applications, APIs, and backend services with limited guidance in a PCI DSS-compliant environment. Works across a broad stack including PHP/Laravel, Java, Python, React, AWS, and Docker/Kubernetes; hybrid role based in Greenwich, CT.
Solution Architect Product Engineer/AI
Senior principal-level architect (placed via LaunchCode with its partner, 3Cloud) who leads teams designing and delivering enterprise-grade AI solutions — generative AI, agentic systems, RAG, and data platforms on Azure — while advising C-level clients and mentoring architects.
Machine Learning/AI Engineer
Hands-on AI engineer building production-grade GenAI and agentic workflows (exception triage, root-cause analysis, remediation) for financial services clients. Day to day: Python/FastAPI backends, SQL over large datasets, RAG, agent orchestration and tool calling, deployed on cloud. Remote role based in Porto Alegre, Brazil.
Principal AI Engineer
Hands-on Principal AI Platform Engineer at Homecare Homebase (a Hearst company) in Dallas, building the company's 'AI software factory' — an agent platform that takes specs to pull requests against its .NET/Azure production codebase. Daily coding of agent templates, MCP tooling, evaluation/PHI guardrails, plus mentoring teams to build on the platform.
Data Scientist (w/m/d) - For Curious Minds and Clever Solutions
Data Scientist at eClear, a Berlin-based VAT/customs compliance software company, designing and deploying production AI solutions — LLMs, RAG pipelines, multi-agent systems, and data pipelines for product data intelligence. Requires 5+ years of Python AI experience plus ML/LLM and PostgreSQL/pgvector expertise.