AI Engineer
Agentic systems, retrieval pipelines, and LLM apps in production
Python · LangGraph · RAG
Matchable
2.5 yrs
Markosh — the marketplace of intelligence & opportunity
AI-driven research. Research-driven intelligence. Intelligence-driven execution.
Markosh is an intelligence lab for business execution. We combine serious AI leverage with research-backed delivery in every part of an operation — and because the post-AI market shifts fast, our teams retrain constantly on new tools, data, and playbooks.
- 200M+
- B2B contacts in research base
- 100%
- Human-led conversations
- 2 wks
- Avg. engagement kickoff
- 4
- Service families, one model
Screened by engineers · Founder-led delivery · US-aligned overlap
Built for — US startup teams · Fintech platforms · AI-enabled SaaS · B2B revenue teams
- TypeScript
- React
- Next.js
- Python
- PyTorch
- LangGraph
- RAG
- Fine-Tuning
- LLMOps
- Kubernetes
- AWS
- PostgreSQL
- Salesforce
- HubSpot
01 — What We Do
Four families, one operating model
Research first, AI leverage at every step, vetted talent, managed delivery — the same lab method whether you need sales capacity, engineers, or software.
Sell
B2B Sales-as-a-ServiceYou need more qualified conversations, not more sales theory.
Premier B2B tech sales reps in three models — retained reps, appointment setting, and revenue-share partnerships — backed by deep contact intelligence and human-led outreach.
Proof — ICP · CRM visibility · Weekly outreach QA
Staff
Vetted Engineers & SpecialistsYour roadmap is blocked by missing technical capacity.
Pre-vetted engineers embedded in your team — including the scarcest pools: AI/ML, data, and security — matched to your stack and your working hours.
Proof — Engineer screen · Stack match · Onboarding plan
Build
Custom Software & AI SystemsYou need a product or internal system shipped without hiring a full team.
Web, mobile, and agentic AI systems — shipped in transparent sprints, handed over with full IP.
Proof — Architecture · Weekly demos · Source and documentation
Strategy
AI Strategy & IntelligenceYou know AI matters, but not where it pays off first.
Find where AI actually pays off — mapped workflows, prioritized use cases, and a roadmap built to execute.
Proof — Use-case map · Automation backlog · Execution plan
02 — Network Snapshot
Talent shaped around the role you need
Instead of sending a resume pile, Markosh narrows the bench to engineers whose stack, seniority, and communication style match the work.
Describe the team gapML Engineer — Fine-Tuning
Model adaptation: fine-tunes, alignment, and evaluation harnesses
PyTorch · LoRA/QLoRA · DPO
Matchable
5 yrs
AI Platform Engineer
Model serving, observability, and cost and latency control
Kubernetes · vLLM · LLMOps
Matchable
3 yrs
Security Engineer
Cloud security, identity, and hardening AI-enabled systems
AWS · Identity · AppSec
Matchable
8 yrs
Full-Stack Product Engineer
AI-enabled product builds from architecture through launch
TypeScript · React · Node.js
Matchable
9 yrs
03 — Vetting
Only 3% make it in
"Pre-vetted" has a specific meaning here: by the time you meet a candidate, technical ability, communication, and delivery habits have already been tested.
Your first interview should feel like a final screen.
We optimize for fewer, stronger introductions instead of sending a large resume batch for your team to sort through.
-
100%
pass point
Applications reviewed
Every profile is screened by an engineer, not a keyword filter.
-
31%
pass point
Technical screening
Deep-dive interview on architecture, code decisions, and communication.
-
9%
pass point
Paid test project
A realistic task evaluated for quality, speed, and collaboration style.
-
3%
pass point
Join the network
Only engineers we would put on our own projects make it into the network.
04 — Engagement Patterns
Concrete ways work gets delivered
Here is how engagements actually take shape: what you can engage us for, how the team forms around it, and the delivery artifacts you walk away owning.
Scale-up engineering
Backlog acceleration team
A small embedded pod clears product backlog without forcing the client to pause roadmap work.
- 4-6
- engineers embedded
- 2 wks
- kickoff target
Product delivery
Custom platform build
Discovery, architecture, implementation, and handover for a defined web or mobile product.
- 1 lead
- delivery owner
- weekly
- working demos
AI enablement
Workflow automation layer
LLM, data, and integration work focused on replacing a slow manual business process.
- API
- first approach
- owned
- client infrastructure
Revenue execution
Outbound revenue pod
A managed pod — sales rep, lead researcher, and CRM operator — running AI-assisted, human-led outreach against one defined ICP.
- weekly
- reporting & QA review
- 1 ICP
- per pod, by design
05 — Why US Companies Work With Us
Global engineering, US-aligned delivery
We know what working with a remote partner needs to feel like: responsive, transparent, and contractually safe. Here is how we run every engagement.
- US time-zone overlap
- Guaranteed 4+ hours of EST overlap with daily standups in your working hours.
- NDA-first, IP yours
- We sign your NDA before any discovery call, and every contract assigns full IP ownership to you.
- Security by default
- Access-controlled repos, least-privilege credentials, and client-owned infrastructure from day one.
- No middle layer
- You talk directly to the engineers doing the work — and to the founders, whenever you want.
Founder-led, by design
Every engagement is overseen directly by our founders — no account managers in between.
-
Anvesha Bhatore
Co-founder
-
Amit Ramanuj
Co-founder
06 — Proof of Capability
Judge us on work, not decks
Two ways to experience Markosh before committing to anything — one for revenue, one for software. Our investment, your outcomes.
Sell — 14-Day Sales Rep Experience
Watch a Markosh rep work your market
One trained rep, AI-assisted account research, human-led outreach, and daily CRM visibility — 14 days at our investment, so you can judge execution quality before committing to any model.
For approved B2B companies only. One rep. One ICP. Capped activity. No appointment or closed-deal guarantee.
Build — Your MVP, On Us
Your first MVP, built by us
One core workflow, scoped in discovery and shipped as working software — with full source, documentation, and IP — so you can judge our engineering by using what we build.
For approved businesses only. One product, one core workflow. Pilot-grade build, not a production launch. No obligation afterward.
07 — FAQ
Questions buyers ask first
Do your engineers work in US time zones?
Yes. Every engagement guarantees at least 4 hours of EST overlap, with standups and reviews scheduled in your working hours.
Who owns the code and IP?
You do. We sign your NDA before discovery, and every contract assigns full IP and source-code ownership to the client.
How does pricing work?
Staff augmentation bills monthly per engineer, dedicated teams at a flat monthly rate, and projects as milestone-based fixed bids. You will get a clear quote after one discovery call.
How fast can we start?
Typically within two weeks of the first call: discovery, candidate interviews, and onboarding into your tools included.
What makes Markosh an intelligence lab?
AI plus research-backed execution in every aspect of an operation. AI provides the leverage; disciplined research and trained people turn it into outcomes. Because the post-AI market shifts fast, our sales and tech teams retrain continuously on new tools, data, and playbooks — that standing practice is the lab.
Can we hire both engineers and sales reps through Markosh?
Yes. Markosh supports technical hiring, software delivery, AI development, sales-rep deployment, lead research, CRM operations, and combined execution pods.
08 — Hire by Role