CrawlJobs Logo

ML and Search Engineer, RAG and Re-ranking

aciinfotech.com Logo

ACI Infotech

Location Icon

Location:

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided
Save Job
Save Icon
Apply Position

Job Description:

The ML and Search Engineer, RAG and Re-ranking will focus on designing and optimizing retrieval-augmented generation (RAG) pipelines, hybrid search strategies, and re-ranking models. This role requires expertise in information retrieval, vector databases, and ML frameworks to drive measurable improvements in ranking metrics, latency, and overall search quality. The engineer will collaborate with product and data teams to land production-grade improvements supported by rigorous offline and online experiments.

Job Responsibility:

  • Design and optimize RAG pipelines including chunking, embeddings, and retrieval
  • Build and deploy re-ranking models and hybrid search strategies
  • Create evaluation datasets and metrics for offline and online testing
  • Collaborate with product and data teams to drive measurable quality improvements in production
  • Ensure higher NDCG and MRR with defined quality and latency SLOs
  • Develop robust evaluation harnesses and experiment frameworks

Requirements:

  • Degree in Computer Science, ML, IR, or related discipline
  • Strong background in information retrieval and machine learning (embeddings, search ranking)
  • Hands-on experience with vector databases (pgvector, Pinecone, Qdrant)
  • Skilled in Python ML stack including PyTorch and Hugging Face
  • Practical experience tuning retrieval pipelines for quality and latency
  • Experience shipping search or RAG features to production
  • Clear understanding of retrieval metrics (NDCG, MRR) and experiment design

Nice to have:

  • Experience building re-rankers, hybrid search systems, or evaluation datasets
  • Familiarity with prompt engineering and feedback loops
  • Knowledge of observability-driven model adaptation
  • Experience in multi-lingual retrieval or domain adaptation

Additional Information:

Job Posted:
December 05, 2025

Employment Type:
Fulltime
Work Type:
Remote work
Icon
ACI Infotech - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon
PREMIUM
More languages and countries
+ Unlock 31694 hidden job offers
Languages
English Čeština Deutsch Ελληνικά Español Français +15
Countries
United States United Kingdom India Canada Australia +
See plans
Plans from $2.99 / month

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for ML and Search Engineer, RAG and Re-ranking

Principal Product Manager

Microsoft Teams is used by over 300 million people worldwide for meetings, chat,...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree AND 8+ years experience in product/service/program management or software development
  • 8+ years of product management experience, with at least 3 years in search, information retrieval, or a related ML/AI-powered product area
  • Deep, hands-on experience with evaluation frameworks for search or AI systems
  • Solid understanding of IR fundamentals: ranking, relevance, query understanding, recall/precision trade-offs
  • Experience with LLM-era eval challenges: hallucination detection, groundedness, response quality, and human eval design for generative outputs
  • Demonstrated ability to work cross-functionally with applied scientists, ML engineers, and data teams
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
  • This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
Job Responsibility
Job Responsibility
  • Own Search Quality & Evals Strategy: Define the evaluation framework for Teams Search
  • Lead the design of human evaluation pipelines
  • Build and maintain an offline eval harness
  • Partner with Applied Science and engineering to translate eval signals into roadmap priorities and quality SLAs
  • Drive AI-Powered Search Features: Define product requirements for semantic search, hybrid retrieval, re-ranking, and Copilot-integrated search experiences in Teams
  • Own the PM relationship with the relevance science team
  • Work with the Copilot/AI team to integrate retrieval-augmented generation (RAG) patterns into Teams Search
  • Define Metrics and Success: Own the success metrics hierarchy for Teams Search
  • Instrument A/B experiments end-to-end
  • Build a culture of evidence-based decision making
  • Fulltime
Read More
Arrow Right

AI Engineer

Location
Location
Bulgaria
Salary
Salary:
Not provided
mypos.com Logo
myPOS
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field (or equivalent practical experience)
  • 5+ years of Data or ML Engineering experience, with at least 3 years shipping AI or ML systems to production
  • Strong Python skills (typed code, async, testing) and solid SQL fluency
  • Hands-on experience building agentic applications with frameworks such as LangGraph, LlamaIndex, CrewAI, or the Anthropic/OpenAI Agents SDKs - including tool use, memory, and multi-step reasoning patterns
  • Practical experience with MCP or comparable tool/function-calling protocols
  • comfortable designing tool schemas and sub-agent boundaries
  • Experience with RAG architectures, vector stores (e.g. pgvector, Pinecone, Weaviate), and embedding models
  • Familiarity with at least one major cloud provider (GCP, AWS, Azure) and deploying data solutions in the cloud
  • Strong DevOps fundamentals: CI/CD (GitHub Actions, Cloud Build, or similar), IaC (Terraform), containerisation (Docker), and orchestration (Kubernetes or serverless equivalents)
  • Comfortable building and maintaining data pipelines with orchestrators (Airflow/Composer, Dagster) and distributed engines (Spark, BigQuery)
Job Responsibility
Job Responsibility
  • Design and build agentic systems: single agents, multi-agent orchestration, and sub-agent patterns for complex workflows (planner/executor, supervisor/worker, hierarchical task decomposition)
  • Develop MCP (Model Context Protocol) servers and tools that expose internal systems, datasets, and actions to LLM-powered applications in a safe, governed, and reusable way
  • Implement retrieval systems (RAG, hybrid search, graph-based retrieval) including chunking, embedding, re-ranking, and context-assembly strategies
  • Build and maintain MLOps automation: CI/CD for models and agents, environment management, artifact handling, and versioning of prompts, models, data, and code
  • Implement observability for AI systems: tracing, token/latency/cost metrics, quality and drift monitoring, alerting, and incident response
  • Build and maintain data pipelines for ingestion, transformation, and export across multiple sources and destinations
  • Expose well-modelled, governed datasets and APIs that agents, tools, and downstream consumers can rely on
  • Ensure secure data handling and compliance with relevant data protection standards and internal policies
  • Contribute to documentation, standards, and continuous improvement of the data platform and engineering processes
What we offer
What we offer
  • Vibrant international team operating in hi-tech environment
  • Annual salary reviews, promotions and performance bonuses
  • myPOS Academy for upskilling and training
  • Unlimited access to courses on LinkedIn Learning
  • Annual individual training and development budget
  • Refer a friend bonus as we know that working with friends is fun
  • Teambuilding, social activities and networks on a multi-national level
  • Excellent compensation package
  • 25 days annual paid leave (+1 day per year up to 30)
  • Full Luxury package health insurance including dental care and optical glasses
  • Fulltime
Read More
Arrow Right
New

AI Engineer

As an AI Engineer, you'll design, build, and operate production-grade AI/ML syst...
Location
Location
Poland , Warsaw
Salary
Salary:
Not provided
mypos.com Logo
myPOS
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field (or equivalent practical experience)
  • 5+ years of Data or ML Engineering experience, with at least 3 years shipping AI or ML systems to production
  • Strong Python skills (typed code, async, testing) and solid SQL fluency
  • Hands-on experience building agentic applications with frameworks such as LangGraph, LlamaIndex, CrewAI, or the Anthropic/OpenAI Agents SDKs — including tool use, memory, and multi-step reasoning patterns
  • Practical experience with MCP or comparable tool/function-calling protocols
  • comfortable designing tool schemas and sub-agent boundaries
  • Experience with RAG architectures, vector stores (e.g. pgvector, Pinecone, Weaviate), and embedding models
  • Familiarity with at least one major cloud provider (GCP, AWS, Azure) and deploying data solutions in the cloud
  • Strong DevOps fundamentals: CI/CD (GitHub Actions, Cloud Build, or similar), IaC (Terraform), containerisation (Docker), and orchestration (Kubernetes or serverless equivalents)
  • Comfortable building and maintaining data pipelines with orchestrators (Airflow/Composer, Dagster) and distributed engines (Spark, BigQuery)
Job Responsibility
Job Responsibility
  • Design and build agentic systems: single agents, multi-agent orchestration, and sub-agent patterns for complex workflows (planner/executor, supervisor/worker, hierarchical task decomposition)
  • Develop MCP (Model Context Protocol) servers and tools that expose internal systems, datasets, and actions to LLM-powered applications in a safe, governed, and reusable way
  • Implement retrieval systems (RAG, hybrid search, graph-based retrieval) including chunking, embedding, re-ranking, and context-assembly strategies
  • Build and maintain MLOps automation: CI/CD for models and agents, environment management, artifact handling, and versioning of prompts, models, data, and code
  • Implement observability for AI systems: tracing, token/latency/cost metrics, quality and drift monitoring, alerting, and incident response
  • Build and maintain data pipelines for ingestion, transformation, and export across multiple sources and destinations
  • Expose well-modelled, governed datasets and APIs that agents, tools, and downstream consumers can rely on
  • Ensure secure data handling and compliance with relevant data protection standards and internal policies
  • Contribute to documentation, standards, and continuous improvement of the data platform and engineering processes
What we offer
What we offer
  • Vibrant international team operating in hi-tech environment
  • Excellent compensation package
  • myPOS Academy for upskilling and training
  • Unlimited access to courses on LinkedIn Learning
  • Refer a friend bonus as we know that working with friends is fun
  • Teambuilding, social activities and networks on a multi-national level
Read More
Arrow Right

Ai Engineer

At myPOS, we're all about helping businesses grow and get paid. We make payments...
Location
Location
Bulgaria , Sofia; Varna
Salary
Salary:
Not provided
mypos.com Logo
myPOS
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field (or equivalent practical experience)
  • 5+ years of Data or ML Engineering experience, with at least 3 years shipping AI or ML systems to production
  • Strong Python skills (typed code, async, testing) and solid SQL fluency
  • Hands-on experience building agentic applications with frameworks such as LangGraph, LlamaIndex, CrewAI, or the Anthropic/OpenAI Agents SDKs — including tool use, memory, and multi-step reasoning patterns
  • Practical experience with MCP or comparable tool/function-calling protocols
  • comfortable designing tool schemas and sub-agent boundaries
  • Experience with RAG architectures, vector stores (e.g. pgvector, Pinecone, Weaviate), and embedding models
  • Familiarity with at least one major cloud provider (GCP, AWS, Azure) and deploying data solutions in the cloud
  • Strong DevOps fundamentals: CI/CD (GitHub Actions, Cloud Build, or similar), IaC (Terraform), containerisation (Docker), and orchestration (Kubernetes or serverless equivalents)
  • Comfortable building and maintaining data pipelines with orchestrators (Airflow/Composer, Dagster) and distributed engines (Spark, BigQuery)
Job Responsibility
Job Responsibility
  • Design and build agentic systems: single agents, multi-agent orchestration, and sub-agent patterns for complex workflows (planner/executor, supervisor/worker, hierarchical task decomposition)
  • Develop MCP (Model Context Protocol) servers and tools that expose internal systems, datasets, and actions to LLM-powered applications in a safe, governed, and reusable way
  • Implement retrieval systems (RAG, hybrid search, graph-based retrieval) including chunking, embedding, re-ranking, and context-assembly strategies
  • Build and maintain MLOps automation: CI/CD for models and agents, environment management, artifact handling, and versioning of prompts, models, data, and code
  • Implement observability for AI systems: tracing, token/latency/cost metrics, quality and drift monitoring, alerting, and incident response
  • Build and maintain data pipelines for ingestion, transformation, and export across multiple sources and destinations
  • Expose well-modelled, governed datasets and APIs that agents, tools, and downstream consumers can rely on
  • Ensure secure data handling and compliance with relevant data protection standards and internal policies
  • Contribute to documentation, standards, and continuous improvement of the data platform and engineering processes
What we offer
What we offer
  • Excellent compensation package
  • 25 days annual paid leave (+1 day per year up to 30)
  • Full 'Luxury' package health insurance including dental care and optical glasses
  • Meal vouchers of 102.26 EUR per month
  • Fully covered Multisport card
  • Fully covered public transport pass for Sofia
  • Free coffee, snacks and drinks at the office
  • Annual salary reviews, promotions and performance bonuses
  • myPOS Academy for upskilling and training
  • Unlimited access to courses on LinkedIn Learning
  • Fulltime
Read More
Arrow Right

Machine Learning Engineer - AI Teams

At Doctolib, we're on a mission to transform the way healthcare is delivered by ...
Location
Location
France , Paris
Salary
Salary:
Not provided
doctolib.fr Logo
Doctolib
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Have strong analytical skills, are result oriented and user first
  • Have between 3/7 years of experience in the domain of Machine Learning / Deep Learning / AI Engineering, including taking models from prototype to production at scale
  • Have experience in Information Retrieval and modern retrieval stacks, including some of the following: Hybrid search (sparse + dense), Large-scale embeddings and vector databases, Multi-stage retrieval and re-ranking pipelines, RAG architectures and retrieval pipelines on multimodal use cases, Tools and MCP-based integrations to bring in external data and capabilities
  • Proficient in LLM/VLM application development, including: Fine-tuning LLM and VLM models, Mixture-of-Experts (MoE) architectures (via LiteLLM or Model Garden), Knowledge Distillation, Prompt engineering and tool use, Evaluation and benchmarking of LLM/VLM systems
  • Have hands-on experience with agentic AI (e.g. building and orchestrating agents on top of ADK)
  • Have demonstrated strong scientific rigor and benchmarking skills: Designing metrics aligned with product goals, Running controlled end to end experiments with W&B, MLFlow or Braintrust, Analyzing and communicating results to guide product and technical decisions
  • Have experience with large scale applications in production (monitoring, reliability, performance, observability)
Job Responsibility
Job Responsibility
  • Find the right technical solution to solve the product domain goals
  • Implement your ideas and test them
  • Deploy your algorithms in production guided by our ML platform team
  • Measure the uplift and continuously improve your approach
What we offer
What we offer
  • Free health insurance for you and your children
  • Parent Care Program: receive one additional month of leave on top of the legal parental leave
  • Free mental health and coaching services through our partner Moka.care
  • For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
  • Work from EU countries and the UK for up to 10 days per year, thanks to our flexibility days policy
  • Work Council subsidy to refund part of sport club membership or creative class
  • Up to 14 days of RTT
  • Lunch voucher with Swile card
  • Fulltime
Read More
Arrow Right

Enterprise AI Engineer - Modernization

We’re hiring a Generative AI Engineer for our AI-powered modernization platform ...
Location
Location
India , Chennai, Madurai
Salary
Salary:
Not provided
optisolbusiness.com Logo
OptiSol Business Solutions
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Hands-on experience working with foundation models such as GPT-4, Claude, Llama 3, or Mistral to build real-world AI applications
  • Strong prompt engineering skills including Chain-of-Thought, Few-Shot Prompting, and Tree-of-Thought reasoning techniques
  • Ability to design and optimize prompts to improve response accuracy, reduce latency, and control token cost
  • Experience creating system prompts with structured outputs (JSON or schema-based) and implementing safety guardrails
  • Understanding of LLM data preparation including dataset cleaning, formatting & tokenization
  • Exposure to model adaptation or fine-tuning workflows using modern ML pipelines
  • Working knowledge of machine learning frameworks such as PyTorch or TensorFlow
  • Hands-on experience designing and implementing end-to-end Retrieval-Augmented Generation (RAG) pipelines
  • Exposure to vector databases such as Pinecone, Weaviate, Milvus, or Qdrant
  • Strong understanding of embeddings, semantic search, and re-ranking strategies
Job Responsibility
Job Responsibility
  • Design, develop, and deploy Generative AI–powered software solutions
  • Build robust, scalable Python services integrating Large Language Models (LLMs)
  • Craft and optimize advanced prompts to enforce accuracy, tone, formatting, and guardrails
  • Fine-tune and adapt LLMs for domain-specific and business-critical use cases
  • Architect and implement end-to-end Retrieval-Augmented Generation (RAG) pipelines
  • Develop autonomous and semi-autonomous AI agents
  • Integrate LLMs with external APIs, databases, and computation engines
  • Evaluate and monitor model behavior to detect hallucinations, drift, and quality regressions
  • Write production-grade, modular Python code and participate in code reviews
  • Stay current with emerging research, tools, and best practices in Generative AI
  • Fulltime
Read More
Arrow Right
New

Senior Lecturer/Associate Professor in Literacy

As a Senior Lecturer / Associate Professor in Literacy, you will play a key role...
Location
Location
Australia , Albury-Wodonga, Bathurst, Port Macquarie, Wagga Wagga
Salary
Salary:
Not provided
csu.edu.au Logo
Charles Sturt University
Expiration Date
June 08, 2026
Flip Icon
Requirements
Requirements
  • A doctoral qualification relevant to literacy or education, with a recognised teaching qualification
  • A strong record of high-quality teaching and student-centred learning
  • An established or emerging research profile aligned to literacy, curriculum or pedagogy
  • The ability to build productive partnerships and contribute to academic leadership
Job Responsibility
Job Responsibility
  • Lead impactful literacy teaching and research
  • Teach across online and on-campus environments
  • Shape future teachers and education practice
  • Contribute to curriculum innovation
  • Build strong relationships with students and partners
  • Provide academic leadership in literacy education
  • Contribute to the School's research profile
  • Supervise higher degree research students
  • Actively engage with professional, community and government stakeholders
  • At Associate Professor level: significant academic leadership, research impact, and contribution to the broader discipline at national/international level
What we offer
What we offer
  • 17% superannuation
  • Fulltime
Read More
Arrow Right
New

Program Manager - Controls and Avionics Solutions

This position is based in Endicott, New York. New York and on-site work will be ...
Location
Location
United States , Endicott
Salary
Salary:
120874.00 - 205486.00 USD / Year
baesystems.com Logo
Baesystems
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in engineering, engineering or manufacturing management, or other discipline
  • Demonstrated ability for building strong customer/ stakeholder relationships
  • Strong communication, negotiation, and presentation skills
  • Ability to interpret data and make data-driven decisions
  • Highly adaptable with strong initiative
  • Demonstrated ability to lead and motivate cross-functional teams
  • Knowledge of the global aviation market and regulatory requirements and/ or military aviation market
Job Responsibility
Job Responsibility
  • Maintaining strong customer relationships and leading a multidisciplinary team to execute complex development programs within schedule and budget
  • Leadership and management oversight of a project team assuring that project’s financials, schedule, and technical objectives are met and that the highest level of customer satisfaction is achieved while meeting all contractual commitments
  • Work effectively and collaboratively with Engineering, Operations, and all Program Office functional leadership to assure deliveries continue to exceed customer commitments and achievement of financial commitments to the company
  • Manages, coordinates, plans, organizes, controls, integrates, and executes projects within the Military Aircraft Systems portfolio
  • Participates in the support of new business and in the development of proposals
What we offer
What we offer
  • Health insurance
  • Dental insurance
  • Vision insurance
  • Health savings accounts
  • 401(k) savings plan
  • Disability coverage
  • Life and accident insurance
  • Employee assistance program
  • Legal plan
  • Discounts on home, auto, and pet insurance
  • Fulltime
Read More
Arrow Right