Remote Solr/Kotlin developer jobs

We, at Turing, are looking for highly-skilled remote Solr/Kotlin developers who will be responsible for planning, designing, and developing next-generation Android apps from scratch and help manage the large-scale data store environments. Get an opportunity to work with the leading U.S. companies and rise quickly through the ranks.

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Job description

Job responsibilities

  • Design, develop and deliver high-performant mobile applications for the Android platform
  • Collaborate with stakeholders and cross-functional teams to define, design, and ship new features
  • Work with outside data sources and APIs
  • Conduct unit test to ensure usability, general reliability, robustness of the existing code
  • Participate in bug fixing and optimizing application performance and scalability
  • Explore, evaluate, and implement new technologies to maximize development efficiency
  • Brainstorm and solve complex problems and innovative solutions
  • Build scalable microservices to ingest data and then parse, transform and load into inverted index using Apache Solr
  • Collaborate with the team members to plan, develop, and execute new features and updates
  • Integrate search to other SQL/NoSQL data stores, queue and add across data center replication or other object stores

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 3+ years of years experience in android development, microservices and cloud technologies (rare exceptions for highly skilled developers)
  • Familiarity with microservices and cloud technologies like Docker and Kubernetes
  • Solid understanding of SOLR, ElasticSearch, Data Structures
  • Profound experience with open source search APIs and SDKs
  • Ability to perform automation and tooling using Python or Java
  • Experience in Android SDK and Android Studio
  • Experience of writing automated unit test cases for Solr search engine
  • Good understanding of debugging tools and performance tuning to Linux
  • Expertise working with remote data via REST and JSON
  • Extensive working experience with third-party libraries and APIs
  • Solid understanding of the full mobile development life cycle
  • Fluency in English language for effective communication
  • Ability to work full-time (40 hours/week) with a 4 hour overlap with US time zones

Preferred skills

  • Knowledge of JVM Tuning tools, OS Performance and Debugging
  • Idea about the general mobile landscape, architectures, trends, and latest technologies
  • Published at least one original Android app
  • Understanding of version control systems and tools, such as Git, SVM, etc.
  • Should have worked in Agile methodologies
  • Excellent organizational and interpersonal skills

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How to become a remote Solr/Kotlin developer in 2023?

Solr or Apache Solr is an open-source enterprise-level search platform used by developers for various types of projects. Written in Java, the platform offers several features including the likes of full-text search, hit highlighting, faceted search, real-time indexing, and more. Over the years, Solr has become a preferred solution for developers as it helps to build applications that are highly scalable in nature along with adding fault-tolerant capabilities. Solr is widely used for building enterprise-level search and analysis applications to address business requirements. Based on the growth and a constant demand for Solr experts, professionals can look for a career full of opportunities in the field.

Additionally, Kotlin is also a widely used technology in the current software industry. Kotlin is a statically typed, general-purpose programming language that is designed to interoperate fully with Java. It is a programming language that supports cross-platform development and is utilized for large-scale projects around the world. Initially designed for JVMs and Android development, the language combines object-oriented and functional programming features. The language also focuses on features like safety, clarity, and tooling support. Kotlin as a language is often treated as a high-value skill for modern app development processes and can also help developers to build a successful career.

If you’re a developer looking to take your career to the next level, knowledge of such languages can help to secure better opportunities. For detailed information on how to become a Solr/Kotlin developer in 2022, this guide should help you out.

What is the scope of Solr/Kotlin developer?

Both Solr and Kotlin are being used by developers for the better part of the decade and have also seen a sustained demand. Knowledge of such languages is not just essential for user-facing projects but can open up a lot of opportunities for developers. Both languages check off almost every requirement for modern software application building processes making them the preferred choices of many organizations around the world. As a matter of fact, companies actively look to hire Solr/Kotlin developers capable of producing end-to-end solutions.

So for developers looking to find new avenues to excel in the software development industry, expertise in technologies like Solr and Kotlin should help to find the right path. The demand for Solr/Kotlin developers is set to rise in the coming years handing developers the chance of contributing to large-scale projects. To know more about roles and responsibilities related to such roles, you can check out the following section for more details.

What are the responsibilities and roles of a Solr/Kotlin developer?

Developers aiming to work as a Solr/Kotlin development specialist needs to possess a thorough understanding of the essential responsibilities. If you too are aspiring to work in such roles, expect to contribute to several areas for building end-to-end software architecture. Some of the most common activities related to such roles involve communicating and collaborating with cross-functional teams. You can often be asked to look into and assist with iOS and Android development processes along with a thorough understanding of Java and related frameworks. You can check out the points listed below to get a fair idea about the various tasks you might have to undertake while working as a Solr/Kotlin developer.

  • Expertise in Solr, Java, and Kotlin development
  • Deep understanding of Android UI design principles, patterns, and best practices
  • Must be well-versed with VIPER, MVC, MVP, MVVM, ReactiveX, and Dependency Injection
  • Experience in working with third-party libraries and APIs
  • Understanding of object-oriented design principles and patterns is preferred
  • Quick identification of bugs and implement fixes
  • Experience in Agile/Scrum methodology
  • Knowledge of indexing database using SOLRs built-in database indexing features
  • Ability to build web services technologies (SOAP and RESTful)
  • Expertise in Oracle PL/SQL and stored procedure coding

How to become a Solr/Kotlin developer?

Ability to build modern solutions using Solr or Kotlin can be a profitable skill for developers in the present industry. Both have been a mainstay in the industry for a major part of the decade and are slated to stay relevant for the foreseeable future. Developers looking to take advantage of the trend should consider scaling up their knowledge about the languages. The tech industry prefers to hire professionals with proven experience or a deep understanding of the essential technologies. For which, along with both programming languages, developers should also consider gaining knowledge about the related technologies as well. Knowledge of Java, front-end technologies, APIs, and similar solutions should developers secure the best opportunities for their careers.

Having a degree in Computer Science or related fields should also help developers to gain the trust of employers quickly. Such degrees, while not mandatory to work in the software development industry, can help developers to grasp ideas and concepts with ease. To understand the requirements for becoming a Solr/Kotlin developer in detail, the following section should help you out.

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Skills required to become a Solr/Kotlin developer

In order to build a successful career as a Solr/Kotlin developer, developers need to possess expertise in working with technologies. To work as a Solr/Kotlin developer you'll need to develop capabilities of working with

1. Solr & Kotlin

These are two primary fields of expertise that you need to have to be considered for such roles. Both Apache Solr and Kotlin are treated as defining skills for the role and companies seek professionals with extensive experience. Both technologies are widely used in different sectors and often implemented to build customer-facing applications. Kotlin is widely used for cross-platform projects and is a mainstay in mobile app development processes. As a technology, Solr can also double up as a NoSQL database with transactional support making it also a high-value tool for developers. So, to get hired at top tech companies as a Solr/Kotlin developer, keep scaling up knowledge about the languages.

2. Java

The ability to work on Java is also an essential requirement to be an expert Kotlin programmer. Java is probably one of the most widely used programming languages and can support projects of several niches in the software development industry. The language has been in use for more than a decade and become a preferred choice of developers. One of the biggest advantages of working with the language is the ability to write and run codes anywhere irrespective of the architecture of the system. The language also seems to fullfil every requirement for modern software development projects including cross-platform services. The language is also well known for its advantages like the option of compiling codes on any platform supporting Java Runtime Environment. So, in order to improve your chances of getting hired as a Solr/Kotlin developer, keep improving your Java knowledge with time.

3. Unit testing

In the software industry, expertise in skills like unit testing can help developers to secure better opportunities. It is a software testing approach in which individual units of code are run through diagnostics to judge their performance. This helps developers to identify errors and bottlenecks using one or multiple modules together along with related data and processes. Expertise in performing unit tests not only allows teams to produce and ship quality products but also builds up solutions at a rapid pace. So to find success as a Solr/Kotlin developer, the ability to perform unit tests and related best practices will help to secure top positions.

4. Android UI

In today’s software development industry, almost every large-scale and the customer-facing project is driven by mobile and on-demand services. For which, Android applications have become extremely high-value tools and can potentially define the chances of success of investments. To make Android applications more appealing and easy to use, the user interface plays a huge part. End-users prefer to use products that do not require a lengthy learning curve and which can help them to get things done right away. Such reasons make it necessary for app developers to design UIs that do not only feel self-explanatory but also offer an immersive experience to users. So, in order to be considered as an expert Solr/Kotlin developer, knowledge of Android UI design best practices should be considered as an essential knowledge

5. Versioning tools

The use of version control systems has become quite common in th modern software development industry. Based on the modern approach of modular development, versioning tools offer a unique advantage to developers. Such tools can be utilized to keep track on the entire codebase along with every modification made. This helps developers to build up entire applications faster and ship a stable product. The use of versioning also diminishes the chance of downtimes as developers can quickly revert to earlier versions in case of problems. A Solr/Kotlin developer with experience of working with version control systems will always have an advantage when applying for new jobs.

6. Interpersonal skills

Working in the modern software development industry requires a lot more than technical proficiency. Developers today need to undertake various responsibilities outside their core competencies. They often also need to collaborate with different cross-functional teams and interact with clients to produce high-quality software. For which, interpersonal skills play a huge part in today’s agile work culture. Developers need to actively interact and share their opinion from time to time to keep the chain of information flowing. So to find success working as a Solr/Kotlin developer, brushing up on language skills and openness to collaborate has become essential.

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How to get hired as a remote Solr/Kotlin developer?

Companies today prefer to work with professionals with a deep understanding of important technologies. For which constantly upgrading personal tech stack and developing knowledge of various domains has become essential. In addition to core technologies required for Solr/Kotlin development, developers also need to have a clear idea about user preferences. This allows developers to build entire applications and front-ends drawing inspiration from preferred features. The primary objective of any remote Solr/Kotlin developer is to build efficient solutions that offer class-apart user experience using intuitive interfaces.

Turing has quickly become the premier platform for taking careers forward working as a remote Solr/Kotlin developer. We provide developers opportunities to work on era-defining projects and business problems using state of the art technologies. Join the fastest growing network of the top developers around the globe to get hired as a full-time and long-term remote Solr/Kotlin developer with the best pay packages.

Why become a Solr/Kotlin developer at Turing?

Elite US jobs

Long-term opportunities to work for amazing, mission-driven US companies with great compensation.

Career growth

Work on challenging technical and business problems using cutting-edge technology to accelerate your career growth.

Exclusive developer community

Join a worldwide community of elite software developers.

Once you join Turing, you’ll never have to apply for another job.

Turing's commitments are long-term and full-time. As one project draws to a close, our team gets to work identifying the next one for you in a matter of weeks.

Work from the comfort of your home

Turing allows you to work according to your convenience. We have flexible working hours and you can work for top US firms from the comfort of your home.

Great compensation

Working with top US corporations, Turing developers make more than the standard market pay in most nations.

How much does Turing pay their Solr/Kotlin developer?

Every back-end integrations engineer at Turing can set their own pricing. Turing, on the other hand, will recommend a salary to the Solr/Kotlin developer for which we are confident of finding a fruitful and long-term opportunity for you. Our salary recommendations are based on an analysis of market conditions as well as customer demand.

Frequently Asked Questions

Turing is an AGI infrastructure company specializing in post-training large language models (LLMs) to enhance advanced reasoning, problem-solving, and cognitive tasks. Founded in 2018, Turing leverages the expertise of its globally distributed technical, business, and research experts to help Fortune 500 companies deploy customized AI solutions that transform operations and accelerate growth. As a leader in the AGI ecosystem, Turing partners with top AI labs and enterprises to deliver cutting-edge innovations in generative AI, making it a critical player in shaping the future of artificial intelligence.

After uploading your resume, you will have to go through the three tests -- seniority assessment, tech stack test, and live coding challenge. Once you clear these tests, you are eligible to apply to a wide range of jobs available based on your skills.

No, you don't need to pay any taxes in the U.S. However, you might need to pay taxes according to your country’s tax laws. Also, your bank might charge you a small amount as a transaction fee.

We, at Turing, hire remote developers for over 100 skills like React/Node, Python, Angular, Swift, React Native, Android, Java, Rails, Golang, PHP, Vue, among several others. We also hire engineers based on tech roles and seniority.

Communication is crucial for success while working with American clients. We prefer candidates with a B1 level of English i.e. those who have the necessary fluency to communicate without effort with our clients and native speakers.

Currently, we have openings only for the developers because of the volume of job demands from our clients. But in the future, we might expand to other roles too. Do check out our careers page periodically to see if we could offer a position that suits your skills and experience.

Our unique differentiation lies in the combination of our core business model and values. To advance AGI, Turing offers temporary contract opportunities. Most AI Consultant contracts last up to 3 months, with the possibility of monthly extensions—subject to your interest, availability, and client demand—up to a maximum of 10 continuous months. For our Turing Intelligence business, we provide full-time, long-term project engagements.

No, the service is absolutely free for software developers who sign up.

Ideally, a remote developer needs to have at least 3 years of relevant experience to get hired by Turing, but at the same time, we don't say no to exceptional developers. Take our test to find out if we could offer something exciting for you.

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In a nutshell, Turing aims to make the world flat for opportunity. Turing is the brainchild of serial A.I. entrepreneurs Jonathan and Vijay, whose previous successfully-acquired AI firm was powered by exceptional remote talent. Also part of Turing’s band of innovators are high-profile investors, such as Facebook's first CTO (Adam D'Angelo), executives from Google, Amazon, Twitter, and Foundation Capital.

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AI Quality Analyst - Portuguese (Portugal)

About Turing:
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

Role Overview:

As an AI Quality Analyst, you will evaluate a new personalization feature for Gemini. You will assess how well the model uses information from your past Gemini conversations, Gmail, Google Search, and YouTube activity to make responses more relevant and helpful. This role requires a unique blend of creativity and analytical rigor. You will actively design prompts from the perspective of your own personal experiences. You will then use your analytical skills to assess the quality of the model's personalized responses, evaluating dimensions like Grounding, Integration, and Helpfulness.


Key Qualifications

  • Portugueese Proficiency: Ability to read and write in Portuguese with a high degree of comp, as Portuguese is the focus language for this project.
  • Personal Account Usage: Willingness to use your primary personal Google account (not a testing account) and enable personal data sources for a genuine assessment.
  • Schedule Flexibility: Full-time availability in your local time zone is required.  We are staffing a global, 24-hour operations team.
  • Exceptional Analytical Thinking: Demonstrate ability to evaluate nuanced and ambiguous AI responses, specifically assessing personalization quality.
  • Creative Prompt Engineering: Experience in designing creative, multi-turn starting prompts based on personal context to thoroughly test the model's capabilities.
  • Strong Evaluation Acumen: Understanding of personalization concepts, including the ability to identify incorrect personalization, poor inferences, and forced connections.
  • Meticulous Attention to Detail: The ability to review Side-by-Side (SxS) model responses and spot subtle differences in naturalness and overnarrating.
  • Excellent Written Communication: Superior ability to write clear, concise, and structured rationales for model rankings, explicitly referencing specific turn numbers.
  • Feedback: Ability to provide constructive feedback and detailed annotations.
  • Communication: Excellent communication and collaboration skills.
  • Independence: Self-motivated and able to work independently in a remote setting.
  • Technical Setup: Desktop/Laptop set up with a good internet connection.


Description:

  • In this role, you will be part of a dynamic team focused on evaluating the quality of personalized AI interactions. Your day-to-day work will involve:
  • Designing and executing multi-turn conversational prompts (typically 1-5 turns) that require the AI to utilize your personal information and experiences.
  • Evaluating model responses based on your intent from the starting prompt, checking if the personalization was appropriately applied.
  • Analyzing responses for Grounding issues, ensuring claims about you are supported by evidence and not flawed inferences or hallucinations.
  • Assessing Integration quality to ensure personal data is woven naturally into the response without robotic "overnarrating".
  • Rigorously evaluating and stack-ranking two model responses side-by-side (SxS) to determine which is overall more helpful, easy to use, and enjoyable.
  • Writing clear, defensible rationales for your comparisons, explicitly referencing where issues or positive aspects occurred in the conversation.
  • Extracting and verifying "Debug Info" from the model to confirm that chat summaries and data sources were properly utilized.
  • Maintaining strict data hygiene by deleting evaluation conversations to prevent them from polluting your future chat history.


Education & Experience

  • BS/BA degree or equivalent experience in a relevant field (e.g., Policy, Law, Ethics, Linguistics, Journalism, Computer Science, or a related analytical field).
  • Experience in data annotation, AI quality evaluation, content moderation, or a related role is strongly preferred.

Offer Details:

  • Commitments Required: at least 4 hours per day and upto 40 hours per week with 4 hours of overlap with PST.
  • Engagement type: Contractor
  • Engagement Length: 3 months
  • Our offered rate for this project is $15 per hour.

Evaluation Process -

  • Shortlisted candidates will be sent a Job Interest Form.
  • After the profile review, an assessment will be shared, which must be completed within 24 hours.
  • Based on the assessment outcomes, shortlisted candidates will be contacted to discuss the pre‑onboarding requirements.
Software
10K+ employees
Domain-Specific Languages
briefcase
AI Engineer

About Turing


Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L


Role Overview


We are looking for an AI/ML Engineer specializing in LLM post-training and reinforcement learning workflows. The role focuses on fine-tuning open-weight models, building reward systems, and improving model performance through scalable training, evaluation, and data curation


What does day-to-day life look like?

  • Design and execute fine-tuning pipelines for open-weight models (Qwen, Llama, Mistral families) using SFT → DPO → GRPO progressions on tool-use and agentic data.
  • Implement and tune LoRA / QLoRA adapters for parameter-efficient fine-tuning; understand when full fine-tuning vs PEFT is the right call.
  • Build reward functions and verifiers for RL training  including programmatic verifiers, LLM-as-judge rubrics, and state-transition checks against gym environments.
  • Generate, curate, and filter RL tool-use training data: golden trajectories, preference pairs, on-policy rollouts, and rejection-sampled completions.
  • Run distributed training on multi-GPU setups; manage inference at scale with vLLM (including extended-context configurations via YaRN / RoPE scaling).
  • Diagnose failure modes: reward hacking, distribution collapse, KL blow-up, tool-selection errors vs state-transition errors, format drift.
  • Define and track evaluation metrics  pass@k, pass^k, trajectory-level scoring, rubric-based vs binary scoring  and own model-quality reporting against benchmarks.
  • Partner with annotation, eval, and client teams to translate data-quality signals into training improvements.

Requirements

  • 3+ years of hands-on ML engineering experience, with at least 1+ year specifically on LLM post-training.
  • Demonstrated production or research experience with at least three of: SFT, LoRA/QLoRA, DPO, PPO, GRPO, RLHF.
  • Strong PyTorch fundamentals; working familiarity with Hugging Face TRL, Accelerate, DeepSpeed or FSDP, and vLLM.
  • Experience designing reward signals or verifiers for RL training  not just running training scripts.
  • Solid grasp of tokenization, attention, chat templates, tool-calling formats (OpenAI/Anthropic-style), and common failure modes in agent training.
  • Comfort with Python, distributed training, GPU profiling, and reading research papers and turning them into working code.

Strongly Preferred:


  • Experience training tool-use or agentic models (function calling, multi-step tool selection, planner-executor patterns).
  • Experience with synthetic data generation pipelines and rejection sampling.
  • Familiarity with MCP, LangChain/LangGraph, or similar agent frameworks.
  • Exposure to evals at scale: building harnesses, designing rubrics, dealing with judge variance and reward hacking.
  • Cloud/infra: RunPod, AWS, GCP; container workflows; long-context inference tuning.


Perks of Freelancing With Turing

  • Work in a fully remote environment.
  • Opportunity to work on cutting-edge AI projects with leading LLM companies.

Offer Details

  • Commitments Required: 40 hours per week with overlap of 4 hours with PST. 
  • Engagement Type: Contractor assignment (no medical/paid leave)
  • Duration of contract : 2 months; [expected start date is next week]
  • Location: India, Pakistan, Bangladesh, Brazil

Evaluation Process

  • 2 rounds of Technical Interview (90 mins)
-
1-10 employees
PythonMachine Learning
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