

Resumes show claims. We show proof. Search Engineers assessed on hybrid retrieval architecture, BM25 optimization strategy, and semantic ranking implementation — so you interview candidates, not question marks.
No credit card required.
Talent Marketplaces give you a resume. We give you the source code.
Candidate A
Software Engineer
Self Reported
2024
Experience
5 years React / Frontend Development
No portfolio links
Previous Roles
X-Corp
Tech Solutions Inc.
Education
B.S. Computer Science — State University

• UNVERIFIED CLAIM
Verified Engineer
ConnectDevs Intelligence Dossier
SAM TECH SCORE
98/100
CODE QUALITY
A+
TECHNICAL INTERVIEW HIGHLIGHTS
Play Recorded Proof
const solveHardProblem = (data) => {
return data.reduce((acc, val) => {
// Verified optimal O(n) solution
return { ...acc, [val.id]: val.performance };
}, {});
};DECISION-READY DATA
You set the criteria. Scout ranked the matches. Now choose who's worth your time.
7 Years
89%
Match Score
FinTech Global
Georgia Institute of Technology
B.S. Computer Science
2012 - 2016
Alex Mercer
Senior Mobile Engineer
2021 – Present
7 Years
89%
Match Score
FinTech Global
Georgia Institute of Technology
B.S. Computer Science
2012 - 2016
Sarah Chen
Senior Mobile Engineer
2021 – Present
7 Years
89%
Match Score
FinTech Global
Georgia Institute of Technology
B.S. Computer Science
2012 - 2016
David Rodriguez
Senior Mobile Engineer
2021 – Present
We analyze thousands of placements to give you real-time salary data for every experience level.
Role: Junior Search Engineer
0-2 Years
Entry-level profile with a strong foundation in inverted indices, basic query parsing, and search relevance fundamentals.
REQUIREMENTS
Degree in Computer Science or equivalent practical training.
Hands-on experience with Elasticsearch or OpenSearch for basic search implementation.
Familiarity with BM25 scoring and basic relevance tuning techniques.
Junior Developer Hourly Rate
Average Yearly Salary ~$86k /yr
Market
Signal
Entry Baseline
Steady demand for junior search talent as enterprises require better information retrieval capabilities.
Role: Mid Search Engineer
2-5 Years
Mid-level profile with proven expertise in hybrid retrieval, vector search integration, and query optimization.
REQUIREMENTS
Degree in Computer Science or equivalent practical training.
Demonstrated ability to implement hybrid search combining BM25 with dense vector retrieval.
Experience optimizing search relevance through learning-to-rank and query analysis.
Mid Developer Hourly Rate
Average Yearly Salary ~$123k /yr
Market
Signal
Hybrid Integration
Strong demand for engineers who can architect hybrid retrieval systems combining lexical and semantic approaches.
Role: Senior Search Engineer
5+ Years
Senior profile with deep mastery of retrieval architecture, RAG optimization, and large-scale search infrastructure.
REQUIREMENTS
Degree in Computer Science or equivalent practical training.
Proven track record designing search systems supporting millions of queries with sub-100ms latency.
Experience leading search platform buildouts for RAG applications or enterprise knowledge bases.
Senior Developer Hourly Rate
Average Yearly Salary ~$152k /yr
Market
Signal
Retrieval Architecture
Senior search architects commanding premium rates as RAG pipelines become critical enterprise infrastructure.
Traditional agencies take weeks. Our Intelligence Engine runs in parallel to deliver decision-ready profiles in real-time.
Hour 0
Signal Ingestion
You define the stack. Scout maps intent signals across 550M+ profiles.
Hours 2–24
Parallel Processing
Scout scans candidate profiles while Pilot launches multi-channel outreach. The system works asynchronously while you sleep.
Scout
Mass Ingestion
Parsing your role. Scanning 800M+ engineers. Surfacing matches—live results.
Pilot
Engagement
Sending interview invites. Tracking responses. Moving candidates to SAM—pipeline
SAM
Validation
Conducting interviews. Evaluating skills. Compiling decision-ready report now
const score = validate(dev);
if (score > 0.92) dispatch(shortlist);
Hour 48
You Receive Your Shortlist
3 Decision-Ready Profiles delivered to your dashboard.
STATUS: READY
Intelligent Shortlist
Candidates Found
1,204
Validated Skills
Search, Node, Go
Top Matches
03
Marketplaces show you profiles. We show you capability.
The Problem
When you browse a talent marketplace, you are guessing. You see a resume that claims '5 Years Search Engineering,' but you don't know:
Can they handle critical exact-match queries like SKUs that require deep BM25 optimization, not just vector search?
Have they configured Reciprocal Rank Fusion pipelines without causing query latency to spike exponentially?
Can they optimize ColBERT architectures to prevent massive, unmanageable index storage bloat?
The Solution
ConnectDevs removes the guesswork. We don't just send profiles; we send Structured Intelligence. Every candidate is interviewed by SAM against the specific Search challenges you care about. You don't guess if they are good. You know.
Unverified Claim
Search Developer
5 Years Experience
Verified Proof
CODE CHALLENGE
Solve a problem using algorithms
SAM INTERVIEW
Discuss alternative approaches and their trade-offs
TECH SCORE
98/100 Algorithm Score
GITHUB AUDIT
Active Open Source Contributor
For Search Engineers, we specifically test for hybrid retrieval architecture, BM25 optimization strategy, and semantic ranking implementation. You get the raw data before you even interview.
Agencies charge a markup every hour. We charge a flat platform fee. You keep the savings.
Number of developers
3 Devs
1
10
Role seniority
Base Salary: $120,000
Includes 35%
Zero Markup
Estimated Yearly Savings
If SAM doesn't surface interview-ready candidates your LinkedIn search missed—you pay nothing.
FLEXIBLE
0%
Zero Markup
We don't inflate developer rates or take recruitment fees.
Cancel Anytime
No lock-ins. No notice required. Keep your data.
Average time-to-shortlist
Global Talent Network
Most teams hiring search engineers also need vector databases, RAG frameworks, and query optimization capabilities.
RELATED STACK
Everything you need to know about sourcing, assessing, and hiring top Search Engineers through our platform.
SAM's technical interview presents candidates with exact-match query scenarios like SKU lookups that purely semantic models miss. They must demonstrate RRF configuration and BM25 tuning alongside vector retrieval. You receive a scored report detailing their hybrid architecture capabilities.
Senior search engineers command average salaries around $152,000 annually. Traditional agencies extract 20-35% placement fees. ConnectDevs operates on a flat $69/mo subscription with zero markup, significantly reducing total hiring cost.
The Scout agent searches 800M+ public profiles for precise inverted index and vector retrieval signals. This delivers a targeted shortlist in days rather than the weeks typical of manual sourcing.
SAM interrogates candidates on Reciprocal Rank Fusion implementation, score normalization strategies, and query optimization. The structured evaluation reveals whether they can merge sparse and dense retrieval efficiently.
SAM's evaluation specifically tests late-interaction architecture trade-offs, including token-level embedding compression and storage optimization. The assessment reveals practical experience with production-scale semantic search.
Every ConnectDevs engagement provides raw assessment data upfront, including competency scores and recorded technical interviews. Audit the data before you invest interview time to minimize the risk of a costly mis-hire.