Individual
Dedicated developer
One senior engineer embedded in your workflow — ideal when you need a specific stack or role filled quickly.
enterprise
Hire AI/ML Engineers
What does a hired AI/ML Engineer do?
Evaluated model workflows with guardrails, retrieval, and human oversight.
Hire dedicated AI/ML engineers for production intelligence where evaluation, cost, latency, and failure handling are designed in — not bolted on.Hire a developerWhat you get
Engineering capability you can put to work immediately.
Dedicated ai/ml engineer talent aligned to your stack, rituals, and delivery cadence — with transparent communication from day one.
Where this role fits
Engagement options
- Dedicated developer
- Dedicated development team
- Project-based delivery
- Long-term support after launch
Advanced engineering
Senior ai/ml engineer capability.
Production-depth work across the ai/ml engineer stack — SDKs, concurrency, protocols, and the systems behind the UI.
- 01
SSE streaming and partial render UX
Token-by-token delivery with abort controllers, backpressure, and UI states that survive slow or interrupted streams.
- 02
Realtime WebSocket sessions
OpenAI Realtime, bidirectional audio, and tool-call loops with session lifecycle management and reconnect policies.
- 03
Structured outputs and tool calling
JSON schema enforcement, function definitions, and typed contracts that prevent hallucinated actions reaching production.
- 04
RAG against pgvector, Pinecone, Qdrant
Chunking, hybrid retrieval, metadata filters, and re-ranking tuned to your corpus — not generic demo embeddings.
- 05
Eval suites and prompt versioning
Golden datasets, regression gates, and traceable prompt libraries so quality drops surface before users report them.
- 06
Cost routing and failure fallbacks
Model tier selection, caching, timeout policies, and human override paths when outputs drift outside thresholds.
Working surface
Libraries, protocols, and internals this role actually uses.
Named tools and primitives our ai/ml engineers reach for in production — not a logo wall.
- OpenAI Responses API
- Unified interface for chat, tools, and structured outputs.
- SSE streaming
- Server-sent events for token-by-token UI with abort support.
- Realtime WebSocket API
- Bidirectional audio and tool sessions with session management.
- Anthropic Messages API
- Claude streaming with tool use and prompt caching.
- Function calling
- Typed tool definitions preventing hallucinated actions.
- Structured Outputs
- JSON schema enforcement on model responses.
- LangGraph
- Stateful agent graphs with checkpoints and human-in-the-loop.
- MCP tool hosts
- Model Context Protocol servers exposing internal systems safely.
- OpenAI Embeddings
- Vector generation piped into pgvector, Pinecone, or Qdrant.
- Whisper
- Speech-to-text pipelines for voice interfaces and transcription.
Engagement models
Hire the way your project actually runs.
Team
Dedicated team
A cross-functional squad that owns delivery end to end, with transparent communication and shared milestones.
Project
Project-based build
A scoped engagement to design and ship a complete product, platform, or modernization slice.
Technology stack
Tools this role typically ships with.
Representative technologies from our engineering practice — selected for fit, longevity, and operating clarity.
Explore all technologies- OpenAIOpenAI integration for evaluated product capabilities and automation.
- Anthropic ClaudeClaude AI integration for reasoning and knowledge workflows with explicit controls.
- n8nn8n automation across the tools a team already uses.
- LangChainLangChain development for retrieval and tool-using model workflows.
How hiring works
From requirement to developers on your project.
- 01
Tell us your requirement
Share the outcome, timeline, stack preferences, and how you want to work together.
- 02
Discuss & plan
We align on scope, engagement model, team shape, and the first useful milestone.
- 03
Select developers / team
Review matched engineers or a dedicated team profile before development begins.
- 04
Development begins
Your developers join with clear rituals, access, and production-minded delivery from day one.
- 05
Launch & support
Ship to production, transfer ownership, and keep the same team for evolution and support.
Common questions
Hiring a ai/ml engineer.
01How quickly can we hire a ai/ml engineer?
After an initial requirement discussion, we typically share matched profiles within a few business days. Start dates depend on scope, timezone overlap, and onboarding needs.
02Can we hire one developer or a full team?
Both. You can start with a dedicated developer and expand into a cross-functional team as the roadmap grows.
03Do your developers work in our timezone?
We align working hours for overlap with your core team and keep communication rituals explicit from day one.
04What engagement models do you offer?
Dedicated developers, dedicated teams, and scoped project engagements — chosen based on outcome, timeline, and how you want to run delivery.
Hire AI/ML Engineer
Have a project in mind? Let's build it.
Share the outcome, stack, and timeline. We'll match developers and propose a clear starting shape.