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Marlabs LLC · 1 day ago

Artificial Intelligence Engineer

Austin, Texas Metropolitan Area

Full-time

Hybrid

Senior Level, Lead/Staff

$120K/yr - $120K/yr

10+ years exp

Marlabs LLC is seeking an AI Engineer to modernize and enhance their existing search system. The role involves integrating advanced semantic search and LLM-powered ranking techniques, transforming traditional search into an intelligent and personalized experience.

Information Technology & Services

H1B Sponsor Likely

Responsibilities

Analyze limitations in current regex & keyword-only search implementation on ElasticSearch

Enhance search relevance using:

BM25 tuning

Synonyms, analyzers, custom tokenizers

Boosting strategies and scoring optimization

Introduce semantic / vector-based search using dense embeddings

Implement LLM-powered search workflows including:

Query rewriting and expansion

Embedding generation (OpenAI, Cohere, Sentence Transformers, etc.)

Hybrid retrieval (BM25 + vector search)

Re-ranking using cross-encoders or LLM evaluators

Build RAG (Retrieval Augmented Generation) flows using ElasticSearch vectors, OpenSearch, or AWS-native tools

Build and optimize search APIs for latency, relevance, and throughput

Design scalable pipelines for:

Indexing structured and unstructured text

Maintaining embedding stores

Real-time incremental updates

Implement caching, failover, and search monitoring dashboards

Deploy and operate solutions on AWS , leveraging:

OpenSearch Service or EC2-managed ElasticSearch

Lambda, ECS/EKS, API Gateway, SQS/SNS

SageMaker for embedding generation or re-ranking models

Implement CI/CD for search models and pipelines

Develop search evaluation metrics (nDCG, MRR, precision@k, recall)

Conduct A/B experiments to measure improvements

Tune ranking functions and hybrid search scoring

Partner with product teams to refine search behaviors with real usage patterns

Qualification

ElasticSearchPythonAWSLLMGenAISemantic SearchRe-RankingOpenSearchBM25FastAPIFlaskDockerNLPIR systems

Required

10 years of experience in AI/ML, NLP, or IR systems, with hands-on search engineering

Strong expertise in ElasticSearch/OpenSearch: analyzers, mappings, scoring, BM25, aggregations, vectors

Experience with semantic search: Embeddings (BERT, SBERT, Llama, GPT-based, Cohere), Vector databases or ES vector fields, Approximate nearest neighbor (ANN) techniques

Working knowledge of LLM-based retrieval and RAG architectures

Proficient in Python; familiarity with Java/Scala is a plus

Hands-on AWS experience (OpenSearch, SageMaker, Lambda, ECS/EKS, EC2, S3, IAM)

Experience building and deploying APIs using FastAPI/Flask and containerizing with Docker

Familiar with typical IR metrics and search evaluation frameworks

Preferred

Knowledge of cross-encoder and bi-encoder architectures for re-ranking

Experience with query understanding, spell correction, autocorrect, and autocomplete features

Exposure to LLMOps / MLOps in search use cases

Understanding of multi-modal search (text + images) is a plus

Experience with knowledge graphs or metadata-aware search

Company

Marlabs LLC

Glassdoor3.6

Marlabs designs and develops digital solutions with data at the center.

Founded in 1996

New York, New York, US

1001-5000 employees

https://www.marlabs.com/

H1B Sponsorship

Marlabs LLC has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

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