HIRE DEVELOPERS / AI/ML DEVELOPERS
Calling the OpenAI API is not AI/ML development — that's the easy 10%. Our AI/ML developers and machine learning engineers build production AI systems: LLM applications, RAG pipelines, fine-tuned models, and inference APIs that are monitored, evaluated, and maintained. Real machine learning, not demos.
LLM integration with OpenAI and Anthropic, RAG systems with Pinecone and pgvector, agent frameworks with LangChain, NLP and traditional ML with PyTorch — the full stack our AI/ML developers and machine learning engineers work across. Evaluation pipelines and MLOps are the focus, so models stay reliable in production, not just in a demo.
RAG architecture, embedding model selection, evaluation frameworks, hallucination detection, and real experience deploying AI features with monitoring and cost controls — vetted for production AI. Not notebook experiments dressed up as a portfolio.
AI developers who call an API are everywhere. AI developers who build eval pipelines, handle retrieval chunking strategy, and deploy with cost monitoring are a small pool. We keep them ready.
A dedicated developer for a long-term AI product. A part-time specialist for adding LLM features to an existing app. An hourly consultant for a RAG review, an AI consulting session, or a cost audit. Sized to fit.
UPDATED Q3 2026 - VERIFIABLE ON UPWORK - CLUTCH
600+
Combined projects shipped
PRODUCTION BUILDS
32
Startups built ground-up
$40M+ ARR COLLECTIVELY
100%
Senior engineers
NO JUNIOR HAND-OFFS
14d
Median time to first PR
AFTER KICKOFF CALL
11
Years compounding
7 COUNTRIES SERVED
Calling an API and streaming a response is what most "AI developers" know how to do. Production AI requires evaluation frameworks, observability, cost management, and engineering discipline so systems don't silently mislead users. Our AI/ML developers treat training, evaluation, and deployment as one system, not three separate experiments.
One AI/ML developer, embedded full-time, building LLM integrations, RAG pipelines, fine-tuning workflows, and production inference APIs. Right for teams building AI as a core product capability.
Contact us for pricingTwenty hours a week of focused AI/ML work — enough for adding LLM features to an existing product, running prompt iterations, building eval datasets, or migrating between model providers.
Contact us for pricingA RAG architecture design, a vector database selection, a prompt review, a cost analysis, or an AI feasibility assessment — targeted AI/ML consulting, scoped and delivered.
Contact us for pricingMatch this to how your team already runs AI/ML work, or tell us and we'll suggest one.
AI architecture, model integration, evaluation pipelines, and production deployment — all ours end to end. You review weekly and steer the product.
Your engineering lead sets priorities. Our AI/ML developer joins your Slack, your GitHub, your standups. They build AI features, tune prompts — you direct the product.
Product decisions and frontend stay with your team. Prompts, RAG, model serving, evaluation, and cost management become ours — the intelligence layer.
Full AI/ML stack from LLM integration to classical machine learning — what our engineers actually work with, daily.
Pipelines, APIs, and model training scripts.
Deep learning training and fine-tuning.
Production ML models and serving graphs.
Classical ML for tabular and baseline models.
RAG chains, agents, and tool orchestration.
Stateful multi-step agent workflows.
The same senior bench you'd be hiring — see recent case studies we've shipped.
All case studiesVerified feedback from Upwork, Clutch, and reference calls we're happy to set up before you sign anything.
CEO, Modestly
Entalogics has successfully delivered extension prototypes on time, and we are impressed with their project management and the finished product. The client communicates with Entalogics via virtual meetings, email, and messaging apps.
Founder, Flourish Schools
Collaborating with Entalogics was a great experience. Communication was clear, we aligned quickly, and their team delivered high-quality code on time with thoughtful technical decisions.
CTO, SentryBay
Their Chromium expertise helped us ship a hardened browser with live threat controls and enterprise rollout support. Security operations became significantly faster.
Founder, G3 Ventures LLC
Entalogics delivered our custom Electron browser in six months with isolated profile workflows and stable policy sync. Agent onboarding improved by 55% after rollout.
Project Manager, Sociall
Entalogics built our iOS Chromium-based mobile app with a smooth native feel, stable media rendering, and reliable sync. We shipped faster and improved engagement after launch.
RozmeriGPT
The web dashboard and Chrome extension now share prompts, billing, and analytics in one platform. Our content turnaround improved 4x after launch.
Project Manager, Omni Browser
Entalogics built our Omni Browser on top of Chromium with deep product-level execution. They implemented an integrated VPN and Omni Crypto Wallet directly in the browser, made strong architectural decisions, and delivered quality code on schedule with clear communication.
Project Manager, Digital Office: Aura
Entalogics built Digital Office: Aura as a custom Chromium-based authentication platform. Their team modified Chromium internals and integrated our manual custom authentication flow with reliable implementation, fast delivery, and consistent communication.
Adjacent services we often ship alongside AI/ML work — same bench, same standard.
Six questions we get on every first call about hiring AI/ML developers. If yours isn't here, we'll cover it first.
Discuss your AI/ML needs with Entalogics — quality delivery at fair pricing.
