SDMRFrom $45/hr · Avg start: 2 weeks · 30+ AI agent projects shipped

Hire senior Python & AI
engineers in 2 weeks.

5+ year Python & AI (LangChain, FastAPI, ML) engineers, AI-fluent by default. Embed in your team this month — hourly or fixed monthly. No agency markup.

Book a 30-min hiring callSee engagement modelsFree 2-week replacement · NDA + IP signed before kickoff
Python 3.12FastAPILangChainLangGraphOpenAIAnthropicpgvectorPineconePrefectModalRayAI toolingPython 3.12FastAPILangChainLangGraphOpenAIAnthropicpgvectorPineconePrefectModalRayAI tooling
19+
Python & AI engineers on bench
2wk
Avg time to start
94%
Client retention at 6 months
8h+
US/UK time-zone overlap
Stack expertise

What our Python
engineers actually ship.

Python at iTechNotion means AI-first backend + ML. Bench engineers have built and run agentic systems in production — not just demos. They know token-cost calculus, prompt regressions, and how to avoid building a fragile dependency chain.
  • FastAPI + Pydantic v2.Async-first, typed APIs. Auto-generated OpenAPI, runtime validation.
  • LangChain + LangGraph.Production-grade chains, observable graphs, tool-using agents.
  • RAG architectures.pgvector, Pinecone, Qdrant. Eval suites + retrieval tuning that actually moves the needle.
  • LLM ops.Caching, retries, structured output, prompt versioning, response evals.
  • Background pipelines.Prefect, Dagster, Airflow, Modal, Ray. Cost-aware orchestration.
  • Postgres + pgvector.Schema design, indexing for vector + relational, query tuning.
  • Multi-tenant systems.Row-level security, per-tenant quotas, isolation by design.
  • AI cost discipline.Token counting, model routing (cheap → expensive), caching layers.
On the bench this month

Three engineers,
ready this week.

Anonymised samples of who's available right now. Real CVs and portfolios go out within 48 hours of your hiring call. All 19 bench engineers are vetted on a real-world take-home (paid, 4 hr) before being eligible to embed.
R
PY-E14 · Senior
Lead AI Engineer · 9 yrs
Built 4 agentic systems in production. Strong on LangGraph, eval suites, and reducing LLM token cost by 70%.
PythonLangGraphFastAPIpgvectorOpenAIAnthropic
Rate: $68 / hrAvailable: Now
A
PY-E06 · Senior
ML / Data Engineer · 11 yrs
Background in ML platforms. Now ships RAG + LLM eval pipelines. Knows Modal + Ray for batch inference.
PythonRAGModalRayPineconeDagster
Rate: $72 / hrAvailable: Mar 1
V
PY-E12 · Senior
Backend Python Engineer · 7 yrs
FastAPI + Postgres specialist. Built multi-tenant SaaS backends. AI-fluent — uses Cursor + Claude Code daily.
FastAPIPostgresPydanticStripeRedisAI tooling
Rate: $58 / hrAvailable: Now
Get 3 short-listed CVs in 48 hrs
Engagement models

Three ways to hire us.

Most teams start hourly to test fit on a small slice of work, then switch to monthly retainer once the engineer earns trust. No multi-year contracts. Free replacement in the first 2 weeks if there's a mismatch.
Most flexible
Hourly
$35-65/hr

Pay only for hours worked. Best for spikes, prototypes, audits, and trial periods before deeper commitment.

  • Senior engineers only (5+ yrs)
  • 8-hr minimum engagement
  • Weekly invoicing in USD or INR
  • Cancel anytime, no notice
  • Slack + standups included
Start hourly
Best value · 70% pick this
Monthly retainer
from $4,800/mo

One dedicated engineer, 160 hrs/month. Daily standups, your repos, your sprint. Behaves like an FTE.

  • Fully dedicated, no context switching
  • Slack + standups + sprint participation
  • Unused hours roll over (max 20%)
  • 30-day notice to end
  • Quarterly 1:1 review with iTechNotion lead
  • Free swap in first 2 weeks
Book a retainer
Build-Operate-Transfer
Custom

We staff and run a full team (3-8 engineers). After 18-24 months you optionally absorb them onto your books.

  • Hand-picked team of 3-8
  • Embedded into your culture + tools
  • Quarterly knowledge transfer plan
  • Optional buy-out clause at month 18+
  • Local presence in India or Dubai
  • Pre-negotiated transfer cost
Talk about BOT
Hiring process

From call to onboarded
in 7-10 working days.

No 6-week recruiter loops. No theatrical whiteboard rounds. You meet the engineer, you decide.
1
Day 1

Share the role

30-min call: stack, scope, deadline, soft skills. We map it to bench in real time.

30 min
2
Day 2-3

Get 3 CVs

Three short-listed engineers, with portfolios, past project metrics, and Loom intros. You pick 1-2 to interview.

48 hrs
3
Day 4-7

Trial sprint

Optional 1-week paid trial. Real work on a sandboxed branch. You see code, comms, and velocity before committing.

1 week
4
Day 8-10

Embed

Slack, GitHub, Linear, your standup. NDA + DPA signed. Engineer is shipping by end of week.

2 days
Why us

What you get
that recruiters miss.

We're an engineering studio, not a body shop. Every engineer on the bench has shipped real production code on a real iTechNotion client project. They eat our own cooking.
  • Senior-only roster.5+ yrs minimum. No bait-and-switch with juniors mid-project.
  • AI-fluent by default.Cursor, Copilot, Claude Code daily. They ship faster + cleaner.
  • Embedded into your team.Slack, Linear, your repos, your standup. FTE-grade integration.
  • 8-hour US/UK overlap.Real-time pairing, code review, decisions in the same window.
  • Free 2-week replacement.Wrong fit? We swap. No friction. No charge.
  • No agency markup.Direct rates. You pay for the engineer, not the layer above.
  • Background-checked.NDA, IP assignment, GDPR DPA, SOC 2 (in progress) signed before kickoff.
  • Quarterly delivery review.We grade ourselves. You get the report. Anything red, we fix.
From a customer who hired through iTechNotion
★★★★★
“We needed a RAG system that could answer questions from 12,000 internal docs without hallucinating. iTechNotion's engineer built it with proper eval suites and retrieval tuning — 94% accuracy on our gold set, 0 hallucinations in audit. First time I've seen AI delivered like normal engineering.
EV
Dr. Elena Vasquez
CTO · Mediclin Health · NYC
94%
Eval accuracy in production
0
Hallucinated answers (audited)
12K
Docs indexed and citable
$0.04
Avg cost per query (was $0.18)
Common questions

Hiring a Python & AI
engineer, real questions.

Most-asked questions from founders, CTOs and engineering managers. If yours isn't here, ask [email protected] — we reply within one business day.
Are your Python engineers also AI / ML engineers?+

Most are. 15 of our 19 bench Python engineers have shipped production AI systems (RAG, agents, LLM features). The other 4 are pure backend + data — useful when you need FastAPI / Postgres / queue work without the AI premium.

Can you work with our existing data stack (Snowflake / dbt / BigQuery)?+

Yes. Bench engineers have integrated LLM workflows with Snowflake, dbt models, BigQuery, Databricks, and on-prem Postgres. Vector layers added via pgvector or Pinecone depending on infra constraints.

Can your engineers work in my time zone?+

Yes. All bench engineers commit to at least 4 hours overlap with your team. Most pick US East / UK / EU schedules. For West Coast US, we have engineers on a late shift earning a 15% overlap bonus. Dubai-based engineers cover Europe + EMEA naturally.

What if the engineer is not a fit?+

Free replacement inside the first 2 weeks. No reason needed. We re-shortlist from the bench within 48 hours and start the next engineer within a week. We track fit-failure rate publicly — it's 6% over the last 4 quarters.

Will the engineer own my code?+

No. We sign IP assignment before any code is written. You own every line. Engineers carry skills and learnings forward, not your code or your designs. Standard MSA + DPA available on request.

Can I hire the engineer directly after a few months?+

Yes — that's our Build-Operate-Transfer model. Pre-negotiated transfer fee, paid once after 18+ months. No surprise ‘you stole our person’ lawyer letters.

What if my project needs more than one engineer?+

We routinely staff teams of 3-8 engineers + lead + QA. Same hiring process, three CVs per role. Average time to fully-staffed team: 3 weeks.

Available · This quarter · 19 Python & AI engineers open

Hire a senior
Python & AI engineer
in 2 weeks.

30-min call. Tell us the role and stack. We'll send 3 short-listed CVs within 48 hours. You interview, we close. First engineer onboarded inside 10 working days.

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