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Location: Dubrovnik, Croatia (CET) Remote: Yes (remote only; EU/UK/US-overlap hours OK) Willing to relocate: yes Technologies: TypeScript, React, Next.js, Node.js/Express, PostgreSQL, Supabase, Prisma, Stripe (billing, webhooks), OAuth/JWT/RBAC, Anthropic/OpenAI APIs, RAG, Tailwind, Jest/Vitest/Cypress, Docker, GitHub Actions Résumé/CV: GitHub: LinkedIn: Email: lazarbukejlovic@icloud.com Full-stack / product engineer, 4+ years shipping production SaaS end to end. I lead a team of 5–6 engineers for an international client. Built operational dashboards used by ~10k monthly users, fixed duplicate-charge and sync bugs at the source with idempotent webhooks, and ship AI features that people can trust (cited evidence, confidence scores, human review queues). Also 3 years of customer-facing technical support, so I'm comfortable owning a problem from the customer report to the fix. Looking for: Product Engineer, Full-Stack, AI Product Engineer or Technical Support Engineer roles at small teams.·Remote

At Tether ( ) we're hiring! We envision a world where technology enables financial freedom, educational empowerment, energy sustainability, and data sovereignty. All of our roles are fully remote, worldwide. Apply now: - Technical Lead (GPU Infrastructure): - DevOps Engineer (QVAC): - Software Architect (Tokenization): - Bare Developer (C / JavaScript): - Backend Developer (Wallets): - Frontend Engineer (QVAC): Research team: - AI Research Engineer (Model Compression & Quantization): - AI Research Engineer (Multi-Modal & Vision): - AI Research Engineer (Multi-Modal Reinforcement Learning): - AI Research Engineer (Agentic Post-training):·Remote

Location: India Remote: Yes Willing to relocate: Bengaluru / open to the right opportunity Technologies: Python, TypeScript, FastAPI, Next.js, LangGraph, LangChain, RAG, MCP, Qdrant, pgvector, PostgreSQL, Docker, AWS Résumé: Email: [naman@namangupta.dev](mailto:naman@namangupta.dev) AI Systems Engineer working on production LLM systems, RAG, agents, and evaluation. Currently building multi-agent and retrieval systems handling 500+ daily queries. Experience with chunking, embeddings, reranking, vector databases, Precision@k / Recall@k / MRR evaluation, latency optimization, and production deployments. Built MCPHub, AgentMesh, and a RAG evaluation harness. Looking for full-time remote AI/backend roles or contract work with startups building agents, document AI, enterprise AI, or retrieval-heavy products. GitHub:·Remote

At Tether ( ) we're hiring! We envision a world where technology enables financial freedom, educational empowerment, energy sustainability, and data sovereignty. All of our roles are fully remote, worldwide. Apply now: - Technical Lead (GPU Infrastructure): - AI Inference Engineer (QVAC): - DevOps Engineer (QVAC): - AI Harness Engineer: - Backend Developer (Wallets): - Technical Content Creator (P2P): - Product Designer (Wallets): - Event Design Coordinator: Research team: - AI Research Engineer (Model Compression & Quantization): - AI Research Engineer (Multi-Modal & Vision): - AI Research Engineer (Multi-Modal Reinforcement Learning): - AI Research Engineer (Agentic Post-training): - AI Research Engineer (Kernel & Inference Optimization):·Remote

Location: Pisa, Italy (CET) Remote: Yes, remote only Willing to relocate: No Technologies: Python, LLM/agent orchestration, local embeddings, retrieval evaluation, AWS (Lambda/SQS/EventBridge), Terraform, Django, PostgreSQL, LightGBM/PyTorch, NLP/Transformers Résumé/CV: linkedin.com/in/vslovik Code: github.com/vslovik/fenix — local-embedding search whose relevance is actually measured: labelled control probes, blinded human ranking, precision@k. No API keys. Email: valeriya.slovikovskaya@gmail.com Software architect, 15+ years in production systems, almost entirely startups and internal startups — fintech, e-commerce, pharma, publishing. The work I get pulled into is the recurring startup problem: a service shipped fast under launch pressure, without adequate tests, that later has to be made reliable without being stopped. Incident response, re-architecture, and the release discipline that keeps it from happening again. Most recently that has meant a regulated UK consumer-credit platform — loan servicing, arrears, forbearance, statutory breathing space, and early-settlement calculations written against consumer-credit legislation. Regulation as code, behind a test suite larger than the production codebase. I've done that in all three configurations: taking a core system from problem statement to release, leading the team that carried it (1 to 7 engineers in ten months), and now doing the same work again with agentic tooling covering what the team used to. On the data side: a LightGBM acquisition model over a 38M-row base — 0.77 test AUC, 8x lift in the top 1% — scoring 2.9M households for a live campaign. The part I'd rather be judged on is what happened next: I found a validation-set defect in my own pipeline (early stopping on the test split), quantified its effect across every figure I had already reported, restated them, and added a pure-noise regression test that pins the model to chance when fed random features — so that class of leak cannot come back quietly. NLP is hands-on rather than API-deep: my degree thesis fine-tuned BERT, RoBERTa and XLNet to state of the art on the FNC-1 stance-detection benchmark, published at LREC 2020. Building on my own time: github.com/vslovik/fenix — it ranks an incoming stream against a free-text description of what you're looking for, and answers questions over the same corpus with citations back to source chunks. Ollama embeddings, sqlite-vec, no API keys. The part worth looking at is the evaluation: the ranking anchor is scored against a labelled probe set with a deliberate control group of things I don't want, and live results are rated blind — scores hidden, order shuffled — so the human judgement stays independent of the ranking it is judging. Doing that produced a measured finding I did not expect: an embedding has no notion of negation, so naming a technology in order to reject it moves the anchor toward it. Numbers and method in lessons/embedding-anchors.md. Also a tool-calling agent that turns unstructured regulatory text into a deterministic calculation pipeline — the model does the extraction, a deterministic engine does the arithmetic. Looking for agentic AI/LLM engineering, LLM evaluation and observability, AI integration, or software architecture. Founding-engineer shape suits me — early employee, not co-founder, but early enough to be in the room where the work gets defined. Direct with the company that owns the product: not consultancy, not agency placement, not a body on someone else's engagement.·Remote

micro1·Worldwide·USD 60 - 120 / hourly

micro1·Worldwide·USD 50 - 100 / hourly

Nimble Gravity·United States

mercor·United Kingdom·USD 16 - 22 / hourly

Seamless Assist·Venezuela

mercor·San Marino·USD 70 - 84 / hourly

MEDvidi·Serbia

mercor·Bangladesh·USD 20 - 22 / hourly

mercor·Greece·USD 70 - 84 / hourly

mercor·Slovakia·USD 70 - 84 / hourly

mercor·Belgium·USD 70 - 84 / hourly

Unconventional AI·United States

Bright Vision Technologies·United States·USD 140,000 - 155,000 / annual

Mindrift·Estonia·USD 40 / hourly

Engine·United States·USD 336,000 - 400,000 / annual

Rapid7·United States·USD 190,600 - 257,800 / annual

Mindrift·Spain·USD 40 / hourly

Mindrift·Estonia·USD 40 / hourly

Mindrift·Romania·USD 50 / hourly

Mindrift·Brazil·USD 30 / hourly

Mindrift·United Kingdom·USD 50 / hourly

Mindrift·Poland·USD 40 / hourly

Mindrift·India·USD 30 / hourly

Autodesk·United States·USD 151,000 - 271,040 / annual

Mindrift·Germany·USD 50 / hourly

Mindrift·Singapore·USD 50 / hourly

Mindrift·Saudi Arabia·USD 50 / hourly

Mindrift·Philippines·USD 30 / hourly

Mindrift·Japan·USD 50 / hourly

Plain Concepts·Spain

Bright Vision Technologies·United States·USD 130,000 - 180,000 / annual

Intuition Machines·Poland

Mindrift·Saudi Arabia

5Blue Software·Belgium, Bulgaria, Croatia +2 more

G2i·Worldwide·USD 100 - 200 / hourly

Mindrift·France·USD 50 / hourly

Mindrift·Argentina·USD 30 / hourly

Mindrift·Ireland·USD 50 / hourly

Mindrift·South Africa·USD 40 / hourly

Mindrift·Portugal·USD 40 / hourly

Invisible Technologies·Worldwide·USD 70 - 100 / hourly

SambaNova Systems·United States·USD 200,000 - 275,000 / annual

FCamara·Brazil

Mindrift·Australia·USD 50 / hourly

Mindrift·Italy·USD 40 / hourly