Cloud & IT Staffing Solutions in Chicago, Boston, Dallas
1

Job Details

Java Backend Developer (AI Search Platform)

Current job openings at Peterson Technology Partners
Current job openings at Peterson Technology Partners
Details
  • Req No : 105916
  • Number of Position : 1
  • Priority : High
Location

Irving, TX 75063, USA

Employment Type
  • Work Authorization Status : greencard, h4ead, l2ead, opt, uscitizen
  • Duration : 6 months+
  • Location : Onsite
Technical Profile
  • Professional Experience : 7 years
  • Primary Skills : Lucene/BM25/Search Engine, MongoDB, Java, Node.js
  • Additional Notes : contract

Contact

Anant N Awatare

Anant N Awatare

[email protected] Peterson Technology Partners on LinkedIn

Job Description:

Our client is seeking a Java Backend Developer (AI Search Platform) to join their team. As a Software Engineer, AI Search Platform, you will help evaluate and build the next-generation keyword search platform for a high-scale retail and digital commerce environment. 

The initial focus will be a MongoDB Atlas Search POC because product, availability, and regional data already live close to MongoDB. You will validate whether MongoDB Atlas Search can meet current production search expectations while also helping compare other Lucene-based options such as AWS OpenSearch, Elasticsearch, or similar technologies if needed. 

The ideal candidate is a senior or strong mid-level engineer with hands-on experience building or tuning Apache Lucene-based search platforms, such as MongoDB Atlas Search, AWS OpenSearch, Elasticsearch, or similar technologies. They can independently drive a search migration POC, evaluate relevance quality, design indexing and comparison flows, and partner across Product, Analytics, and Engineering to recommend a production migration path. 

Responsibilities:

  • Build and evaluate search platform capabilities for keyword search migration, relevance tuning, indexing, ranking, and search-quality measurement. 
  • Design MongoDB Atlas Search indexes, analyzers, schemas, ranking signals, and query patterns for product search use cases. 
  • Develop backend APIs and services using Node.js, Java, and Python to support search workflows, indexing, evaluation, and observability. 
  • Design a production-safe shadow evaluation flow that samples a small percentage of search traffic, captures query context and production baseline results, and compares candidate search output outside the customer-facing request path.
  • Evaluate autocomplete, query suggestions, popular searches, top results, zero-result behavior, fuzzy matching, synonym handling, regional ranking, merchandising behavior, and availability-aware ranking. 
  • Partner with Product, Analytics, and business stakeholders to define and measure search migration KPIs, including relevance quality, latency, add-to-cart impact, conversion impact, and regional availability behavior. 
  • Build and tune BM25/Lucene-based search indexes, analyzers, ranking signals, and retrieval pipelines. 
  • Contribute to the longer-term search platform roadmap, including automated chunking, indexing, BM25-based retrieval, hybrid search, and search-driven AI workflows. 
  • Write maintainable code, tests, documentation, and operational notes that help the platform scale beyond the POC.

Required Qualifications:

  • 4+ years of professional software engineering experience. 
  • Hands-on experience designing, tuning, and evaluating keyword-search relevance using Lucene/BM25-style retrieval, analyzers, tokenization, synonyms, fuzzy matching, boosts, ranking signals, and result-quality evaluation. 
  • Experience building backend APIs, REST services, and service-to-service workflows using Node.js, Java, and/or Python. 
  • Experience designing search schemas, indexes, incremental indexing flows, and query/relevance evaluation pipelines. 
  • Working knowledge of MongoDB or similar document/database systems. 
  • Experience with production observability, including logs, metrics, traces, latency measurement, and quality comparison dashboards. 
  • Familiarity with Docker, CI/CD, Git, automated testing, and modern software delivery practices. 
  • Ability to work with ambiguous requirements and translate business search goals into practical engineering plans. 

Preferred Qualifications:

  • Experience with Lucene-based search platforms is preferred, including MongoDB Atlas Search, AWS OpenSearch, Elasticsearch, or similar technologies. The initial POC will focus on MongoDB Atlas Search. Elasticsearch experience is helpful but not required. 
  • Experience with retail, e-commerce, marketplace, or product-search systems is strongly preferred. 
  • Experience with product availability, regional/store context, ranking experiments, merchandising signals, autocomplete, query suggestions, or conversion-focused search optimization. 
  • Experience with AWS services, cloud-native deployment, queues, event-driven workflows, and data pipelines. 
  • Experience with Python frameworks such as FastAPI, Java frameworks such as Spring Boot, or Node.js/TypeScript API development. 
  • Experience with hybrid search, embeddings, automated chunking, retrieval workflows, or search-driven AI systems is a plus. 

Salary/Rate: $65-$70/HR (depends on experience level). This is a contract position with candidates expected to work 40 hours/ week.

About Us

Peterson Technology Partners (PTP) is an Equal Opportunity Employer committed to creating a transparent, inclusive, and human-centered hiring experience.

For more than 28 years, PTP has operated as one of the top IT staffing and recruiting firms in the USA—built on trust, long-term partnerships, and technical excellence.

Based in the Chicago suburb of Park Ridge, IL, our team of more than 500 employees and consultants is dedicated to:

  • Helping every client make the best hiring decisions possible
  • Matching professionals with the right IT jobs and career opportunities

As part of that commitment, we believe in providing clear information about how our hiring technologies work and how your data is used. The following section outlines our AI-assisted interview process and your rights as a candidate.

AI-Assisted Interview Experience (Pete & Gabi – Rebecca):

To provide a consistent, fair, and flexible experience for all candidates, we use AI-assisted tools to support parts of the interview process. This includes our proprietary AI platform Pete & Gabi, which includes AI recruiter Rebecca.

These AI hiring tools help us:

  • Conduct recorded video interviews
  • Transcribe interviews
  • Summarize candidate responses
  • Generate job-related insights
  • Streamline communication and scheduling

Please note that:

  • The AI does NOT make hiring decisions; all decisions are made by our human recruiters, hiring managers, or client partners.
  • The AI does not evaluate facial expressions, emotions, or physical traits; it is used only to support fairness, consistency, and efficiency.

If you prefer a non-AI interview format, we will gladly provide an alternative.

Technical or Case Interviews (Role-Dependent):

When applying for certain tech jobs, you may participate in:

  • A technical interview
  • A coding challenge
  • A case study
  • A client-specific assessment

We will always explain what to expect in advance so you can prepare with confidence.

Human Review & Selection: +

Every candidate’s profile—including interviews, conversations, and assessments—is reviewed by experienced recruiters and hiring leaders.

AI insights may assist with organization and evaluation, but final decisions are always human-driven.

Your Rights as a Candidate: +

At PTP, every candidate has the right to:

  • Request a non-AI interview path
  • Ask how your data is being used
  • Request access to transcripts or interview recordings
  • Request deletion of your AI-recorded interview
  • Receive clear, timely communication

Our goal is to ensure you feel respected, informed, and supported throughout your experience.

Our Commitment: +

For more than 28 years, PTP has focused on putting people first—candidates, consultants, employees, and clients.

We’re committed to a hiring process that is:

  • Transparent
  • Compliant
  • Equitable
  • Powered by innovative technology that enhances—not replaces—human judgment

Welcome to the future of hiring at Peterson Technology Partners.

We’re excited to learn more about you.

Equal Employment Opportunity: +

Peterson Technology Partners is an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, color, religion, national origin, gender identity, sexual orientation, disability, veteran status, or any other protected characteristic.

Java Backend Developer (AI Search Platform)

Current job openings at Peterson Technology Partners
Current job openings at Peterson Technology Partners
Details
  • Req No : 105916
  • Number of Position : 1
  • Priority : High
Location

Irving, TX 75063, USA

Employment Type
  • Work Authorization Status : greencard, h4ead, l2ead, opt, uscitizen
  • Duration : 6 months+
  • Location : Onsite
Technical Profile
  • Professional Experience : 7 years
  • Primary Skills : Lucene/BM25/Search Engine, MongoDB, Java, Node.js
  • Additional Notes : contract

Contact

Anant N Awatare

Anant N Awatare

[email protected] Peterson Technology Partners on LinkedIn

Job Description:

Our client is seeking a Java Backend Developer (AI Search Platform) to join their team. As a Software Engineer, AI Search Platform, you will help evaluate and build the next-generation keyword search platform for a high-scale retail and digital commerce environment. 

The initial focus will be a MongoDB Atlas Search POC because product, availability, and regional data already live close to MongoDB. You will validate whether MongoDB Atlas Search can meet current production search expectations while also helping compare other Lucene-based options such as AWS OpenSearch, Elasticsearch, or similar technologies if needed. 

The ideal candidate is a senior or strong mid-level engineer with hands-on experience building or tuning Apache Lucene-based search platforms, such as MongoDB Atlas Search, AWS OpenSearch, Elasticsearch, or similar technologies. They can independently drive a search migration POC, evaluate relevance quality, design indexing and comparison flows, and partner across Product, Analytics, and Engineering to recommend a production migration path. 

Responsibilities:

  • Build and evaluate search platform capabilities for keyword search migration, relevance tuning, indexing, ranking, and search-quality measurement. 
  • Design MongoDB Atlas Search indexes, analyzers, schemas, ranking signals, and query patterns for product search use cases. 
  • Develop backend APIs and services using Node.js, Java, and Python to support search workflows, indexing, evaluation, and observability. 
  • Design a production-safe shadow evaluation flow that samples a small percentage of search traffic, captures query context and production baseline results, and compares candidate search output outside the customer-facing request path.
  • Evaluate autocomplete, query suggestions, popular searches, top results, zero-result behavior, fuzzy matching, synonym handling, regional ranking, merchandising behavior, and availability-aware ranking. 
  • Partner with Product, Analytics, and business stakeholders to define and measure search migration KPIs, including relevance quality, latency, add-to-cart impact, conversion impact, and regional availability behavior. 
  • Build and tune BM25/Lucene-based search indexes, analyzers, ranking signals, and retrieval pipelines. 
  • Contribute to the longer-term search platform roadmap, including automated chunking, indexing, BM25-based retrieval, hybrid search, and search-driven AI workflows. 
  • Write maintainable code, tests, documentation, and operational notes that help the platform scale beyond the POC.

Required Qualifications:

  • 4+ years of professional software engineering experience. 
  • Hands-on experience designing, tuning, and evaluating keyword-search relevance using Lucene/BM25-style retrieval, analyzers, tokenization, synonyms, fuzzy matching, boosts, ranking signals, and result-quality evaluation. 
  • Experience building backend APIs, REST services, and service-to-service workflows using Node.js, Java, and/or Python. 
  • Experience designing search schemas, indexes, incremental indexing flows, and query/relevance evaluation pipelines. 
  • Working knowledge of MongoDB or similar document/database systems. 
  • Experience with production observability, including logs, metrics, traces, latency measurement, and quality comparison dashboards. 
  • Familiarity with Docker, CI/CD, Git, automated testing, and modern software delivery practices. 
  • Ability to work with ambiguous requirements and translate business search goals into practical engineering plans. 

Preferred Qualifications:

  • Experience with Lucene-based search platforms is preferred, including MongoDB Atlas Search, AWS OpenSearch, Elasticsearch, or similar technologies. The initial POC will focus on MongoDB Atlas Search. Elasticsearch experience is helpful but not required. 
  • Experience with retail, e-commerce, marketplace, or product-search systems is strongly preferred. 
  • Experience with product availability, regional/store context, ranking experiments, merchandising signals, autocomplete, query suggestions, or conversion-focused search optimization. 
  • Experience with AWS services, cloud-native deployment, queues, event-driven workflows, and data pipelines. 
  • Experience with Python frameworks such as FastAPI, Java frameworks such as Spring Boot, or Node.js/TypeScript API development. 
  • Experience with hybrid search, embeddings, automated chunking, retrieval workflows, or search-driven AI systems is a plus. 

Salary/Rate: $65-$70/HR (depends on experience level). This is a contract position with candidates expected to work 40 hours/ week.

About Us

Peterson Technology Partners (PTP) is an Equal Opportunity Employer committed to creating a transparent, inclusive, and human-centered hiring experience.

For more than 28 years, PTP has operated as one of the top IT staffing and recruiting firms in the USA—built on trust, long-term partnerships, and technical excellence.

Based in the Chicago suburb of Park Ridge, IL, our team of more than 500 employees and consultants is dedicated to:

  • Helping every client make the best hiring decisions possible
  • Matching professionals with the right IT jobs and career opportunities

As part of that commitment, we believe in providing clear information about how our hiring technologies work and how your data is used. The following section outlines our AI-assisted interview process and your rights as a candidate.

AI-Assisted Interview Experience (Pete & Gabi – Rebecca):

To provide a consistent, fair, and flexible experience for all candidates, we use AI-assisted tools to support parts of the interview process. This includes our proprietary AI platform Pete & Gabi, which includes AI recruiter Rebecca.

These AI hiring tools help us:

  • Conduct recorded video interviews
  • Transcribe interviews
  • Summarize candidate responses
  • Generate job-related insights
  • Streamline communication and scheduling

Please note that:

  • The AI does NOT make hiring decisions; all decisions are made by our human recruiters, hiring managers, or client partners.
  • The AI does not evaluate facial expressions, emotions, or physical traits; it is used only to support fairness, consistency, and efficiency.

If you prefer a non-AI interview format, we will gladly provide an alternative.

Technical or Case Interviews (Role-Dependent):

When applying for certain tech jobs, you may participate in:

  • A technical interview
  • A coding challenge
  • A case study
  • A client-specific assessment

We will always explain what to expect in advance so you can prepare with confidence.

Human Review & Selection: +

Every candidate’s profile—including interviews, conversations, and assessments—is reviewed by experienced recruiters and hiring leaders.

AI insights may assist with organization and evaluation, but final decisions are always human-driven.

Your Rights as a Candidate: +

At PTP, every candidate has the right to:

  • Request a non-AI interview path
  • Ask how your data is being used
  • Request access to transcripts or interview recordings
  • Request deletion of your AI-recorded interview
  • Receive clear, timely communication

Our goal is to ensure you feel respected, informed, and supported throughout your experience.

Our Commitment: +

For more than 28 years, PTP has focused on putting people first—candidates, consultants, employees, and clients.

We’re committed to a hiring process that is:

  • Transparent
  • Compliant
  • Equitable
  • Powered by innovative technology that enhances—not replaces—human judgment

Welcome to the future of hiring at Peterson Technology Partners.

We’re excited to learn more about you.

Equal Employment Opportunity: +

Peterson Technology Partners is an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, color, religion, national origin, gender identity, sexual orientation, disability, veteran status, or any other protected characteristic.

IT Staffing Firm - PTP