Senior LLM Engineer GenAI / ML (Python, Langchain) Full Time Location: India Overall Experience: 7-12 Years Focus: Hands-on engineering role focused on designing, building, and deploying Generative AI and LLM-based solutions. The role requires deep technical proficiency in Python and modern LLM frameworks with the ability to contribute to roadmap development and cross-functional collaboration. Key Responsibilities: Design and develop GenAI/LLM-based systems using tools such as Langchain and Retrieval-Augmented Generation (RAG) pipelines. Implement prompt engineering techniques and agent-based frameworks to deliver intelligent, context-aware solutions. Collaborate with the engineering team to shape and drive the technical roadmap for LLM initiatives. Translate business needs into scalable, production-ready AI solutions. Work closely with business SMEs and data teams to ensure alignment of AI models with real-world use cases. Contribute to architecture discussions, code reviews, and performance optimization. Skills Required: Proficient in Python, Langchain, and SQL. Understanding of LLM internals, including prompt tuning, embeddings, vector databases, and agent workflows. Background in machine learning or software engineering with a focus on system-level thinking. Experience working with cloud platforms like AWS, Azure, or GCP. Ability to work independently while collaborating effectively across teams. Excellent communication and stakeholder management skills. Preferred Qualifications: 1+ years of hands-on experience in LLMs and Generative AI techniques. Experience contributing to ML/AI product pipelines or end-to-end deployments. Familiarity with MLOps and scalable deployment patterns for AI models. Prior exposure to client-facing projects or cross-functional AI teams.

If you are interested fill this form: https://developers.turing.com/invite/eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJqb2JJZCI6MzMyNDcsInVzZXJJZCI6MTE3OCwidXNlclJvbGUiOiJUQV9TT1VSQ0VEIiwiaWF0IjoxNzQ0NzM3ODUwfQ.WndOiWb7zy8UiszDNKT9xFHjw4SHqCKEGClcvkXh83s Senior LLM Engineer GenAI / ML (Python, Langchain) Full Time Location: India Overall Experience: 7- 12 Years Focus: Hands-on engineering role focused on designing, building, and deploying Generative AI and LLM-based solutions. The role requires deep technical proficiency in Python and modern LLM frameworks with the ability to contribute to roadmap development and cross-functional collaboration. Key Responsibilities: Design and develop GenAI/LLM-based systems using tools such as Langchain and Retrieval-Augmented Generation (RAG) pipelines. Implement prompt engineering techniques and agent-based frameworks to deliver intelligent, context-aware solutions. Collaborate with the engineering team to shape and drive the technical roadmap for LLM initiatives. Translate business needs into scalable, production-ready AI solutions. Work closely with business SMEs and data teams to ensure alignment of AI models with real-world use cases. Contribute to architecture discussions, code reviews, and performance optimization. Skills Required: Proficient in Python, Langchain, and SQL. Understanding of LLM internals, including prompt tuning, embeddings, vector databases, and agent workflows. Background in machine learning or software engineering with a focus on system-level thinking. Experience working with cloud platforms like AWS, Azure, or GCP. Ability to work independently while collaborating effectively across teams. Excellent communication and stakeholder management skills. Preferred Qualifications: 1+ years of hands-on experience in LLMs and Generative AI techniques. Experience contributing to ML/AI product pipelines or end-to-end deployments. Familiarity with MLOps and scalable deployment patterns for AI models. Prior exposure to client-facing projects or cross-functional AI teams.

About Turing: Turing is one of the world's fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the worlds leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Role Overview: In this role, you will be working on projects to help fine-tune large language models (like ChatGPT) using your strong finance background, analytical thinking and English comprehension skills. The ideal candidate should have the ability to read, summarize, and break down large financial content into smaller logical blocks, conduct research online, validate claims made in content through online research, and work with the LLM (Large Language Models) to solve puzzles! The projects will also help you learn how to leverage AI to be a better analyst. This is your chance to future-proof your career in an AI-first world! What You'll Do Day-to-Day: Solve complex financial and logical reasoning problems that test and train LLMs. Analyze financial statements, models, and business scenarios to assess accuracy and factual consistency. Summarize financial reports or investment theses and validate claims through online research. Requirements: Qualification: Cleared CFA Level 1/2/3, or have completed their CA/CPA certification or completed their MBA in Finance. Strong understanding of financial concepts, accounting principles, and investment analysis. Analytical mindset with the ability to research, verify, and reason logically. Excellent English comprehension and communication skills. Preferred Qualifications: Experience in roles such as: Financial Analyst, Financial Writer, Investment Analyst, Audit Associate, etc. Familiarity with tools like Excel, Google Sheets, and financial modeling. Proficiency in quantitative reasoning, logical deduction, and data interpretation. Perks of Freelancing with Turing: Work on the cutting edge of AI and finance. Fully remote and flexible work environment. Exposure to advanced LLMs and insight into how they're trained. Offer Details: Hours committed: At least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. Employment Type: Contract (freelance; no medical/paid leave). Duration: 2 months. Location: India Evaluation Process: Shortlisting based on qualifications and relevant Finance work experience. Shortlisted candidates will be sent an automated analytical challenge and a writing assessment (approximately 90 minutes). Candidates who clear the challenge will proceed to a manual interview round. If you're interested in this opportunity, please apply through the provided link: https://developers.turing.com/invite/eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJqb2JJZCI6MzM4MDYsInVzZXJJZCI6NTU2LCJ1c2VyUm9sZSI6IlRBX1NPVVJDRUQiLCJpYXQiOjE3NDc5MTk4MzN9.WHDWmzfONBqRj2fQb0UBEn8bGfh5Rd66k0sN7KdCiS8

Role Overview: We are seeking exceptional physicists with a strong academic backgroundideally Professors or Assistant Professors in Physics from top Indian institutionsto shape the behavior and capabilities of cutting-edge large language models. In this role, you will design high-level simulations of how models should operate in the domain of physics, craft high-quality prompts and datasets, and create schemas that abstract physical problem-solving tasks. Your work will directly influence how AI systems understand, reason about, and solve physics-related challenges across educational, research, and applied settings. Day-to-Day Responsibilities: Develop high-level simulations of expert physics problem-solving behavior. Design structured prompts, few-shot examples, and scaffolding to emulate reasoning in physics. Generate synthetic training data (e.g., problem-solution sets, conceptual explanations, physics dialogues). Define task schemas or ontologies capturing user intents in areas like classical mechanics, quantum physics, thermodynamics, or electromagnetism. Assist in fine-tuning and evaluating model outputs in physics-related tasks. Build evaluation scenarios that mimic real-world student queries, lab reports, or theoretical derivations. Design rubric-based scoring systems to assess conceptual correctness, reasoning depth, and calculation accuracy. Simulate multi-step problem-solving workflows involving physical laws, equations, and derivations. Requirements: Professors/Assistant Professors in Physics from premier Indian institutions.(IIT , BITS AND IISC ) Deep expertise in one or more subfields of physics (e.g., classical, quantum, thermodynamics). Experience with LLMs, prompt engineering, or AI-aided problem generation is a plus. Strong ability to craft educational and technical content in physics. Analytical mindset with a focus on simulation, abstraction, and precision. Interest in advancing AI's capabilities in scientific understanding and reasoning. Offer Details: Hours committed: 10-20 hrs in the week Employment Type: Part-time Location: India What we provide: Collaborative work environment with other STEM enthusiasts. Flexible working hours and remote work environment. Opportunity to work on cutting-edge AI projects with leading LLM companies. Application Link : https://developers.turing.com/invite/eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJqb2JJZCI6MzM5MDQsInVzZXJJZCI6MTE3NCwidXNlclJvbGUiOiJUQV9TT1VSQ0VEIiwiaWF0IjoxNzQ4MjcxNzAzfQ.aSqAvwxPfODfjobKQNyC5tsC-kTFUYVLQap5UdDPxFQ

We are inviting exceptional academic talent to join us. We are looking for the roles of Professor, Associate Professor, and Assistant Professor. Important Criteria: We are only considering candidates who are currently teaching at IITs, IISc, or BITS this time. For Job Description and more details please check out this link (Mathematics): https://developers.turing.com/invite/eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJqb2JJZCI6MzM5MTYsInVzZXJJZCI6MTE5NCwidXNlclJvbGUiOiJUQV9TT1VSQ0VEIiwiaWF0IjoxNzQ4MjcxNzA1fQ.J_OzSikf2_qkkkc1U1HWVISP61LXVG5iNtpp7EVEa_g It will take you to the Turing job page, where you need to create an account ,upload your resume and complete the Interest Form. Next Steps and details: Complete the Interest form. The team will reach out to you for an interview, based on your resume matching to our requirement. Budget Range: 30-60 USD per hour. (Depends case to case basis) Engagement Length: 3-6 months. Employment Type: Part Time Hours committed: 20 hrs in the week Location: Remote, India Role Overview: We are seeking highly qualified individuals with a strong background in Mathematics ideally Professors or Assistant Professors from leading Indian institutions to contribute to the design and evaluation of large language models (LLMs). In this role, you will emulate mathematical problem-solving, create high-quality prompts and training data, and develop structured representations of tasks to enhance model reasoning in mathematics education and research. Day-to-Day Responsibilities: Simulate expert-level reasoning in mathematics across various domains (e.g., algebra, calculus, number theory, statistics, linear algebra). Design prompts and few-shot examples to guide the model toward solving complex mathematical problems. Generate synthetic datasets including proof-based questions, conceptual explanations, step-by-step solutions, and problem sets. Define schemas or abstract task representations for mathematical reasoning, such as symbolic manipulation, theorem verification, or quantitative modeling. Build evaluation scenarios that test model performance in structured problem-solving, real-world applications, or mathematical instruction. Design scoring rubrics to assess the rigor, correctness, and clarity of model-generated mathematical outputs. Simulate interactions with external tools like symbolic solvers or computational systems (e.g., WolframAlpha, Python math libraries). Requirements: Professors/Assistant Professors in Mathematics or Applied Mathematics from top Indian institutions. Deep understanding of mathematical reasoning, abstraction, and pedagogy. Experience with large language models, prompt engineering, or AI-based educational tools is a plus. Ability to structure and communicate complex mathematical concepts with clarity. Strong attention to logical consistency and accuracy in computational tasks. Passion for improving AI capabilities in mathematical understanding and problem-solving. Offer Details: Hours committed: 10-20 hrs in the week Employment Type: Part-time Location: India What we provide: Collaborative work environment with other STEM enthusiasts. Flexible working hours and remote work environment. Opportunity to work on cutting-edge AI projects with leading LLM companies. Feel free to reach out for any queries at shubhanshi.srivastava@turing.comLooking forward to your application! Best Regards, Shubhanshi Srivastava Talent Acquisition Team

We're looking for a skilled Voice Actor to bring characters and stories to life across various domains using their voice to capture the right emotion, personality, and tone. What does day-to-day look like: Record voice overs from a professional home studio or in-studio sessions Perform lines with clarity, emotion, and appropriate pacing Interpret scripts and take creative direction Revise performances based on feedback Deliver high-quality audio files on time and in the correct format Requirements: Previous voice acting experience Strong vocal control and versatility Clear speech and emotional range Access to high-quality recording equipment (for remote roles) Ability to follow direction and meet deadlines Preferred Qualifications: Experience with dubbing, ADR, or localization Demo reel showcasing a variety of voice styles Background in acting or performing arts Familiarity with audio editing tools Perks of Freelancing With Turing: Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies. Potential for contract extension based on performance and project needs. Offer Details: Engagement type : Contractor assignment/freelancer (no medical/paid leave) Evaluation Process Shortlisting based on qualifications and relevant professional experience. Shortlisted candidates will undergo a delivery review, after which they will be ready to start!

Role Overview: We are seeking skilled Language coaches who are strong at Phonetics to contribute to AI development by analyzing, annotating, and interpreting phonetic and tonal features in voice and speech data. Your expertise will enhance AIs ability to recognize and replicate human speech patterns with greater naturalness and precision in phonetics. What does day-to-day look like: Analyze speech recordings to identify phonetic features, intonation patterns, and prosody. Writing out phonetics is critical , not just reading and pronouncing them. Annotate audio data with detailed phonetic and tonal labels Collaborate with AI researchers, linguists, and engineers to build accurate speech models Provide expert feedback on pronunciation, accent, and articulation patterns Help design and refine phonetic guidelines and annotation protocols Requirements: Degree (Bachelors/Masters or Ph.D.) in Phonetics, Linguistics, or a closely related field Deep understanding of articulatory, acoustic, and auditory phonetics Experience with phonetic transcription systems (e.g., IPA, ToBI) Create detailed transcriptions capturing allophonic and phonetic variations. Familiarity with speech analysis tools (e.g., Praat, ELAN) Strong attention to detail and ability to maintain high annotation accuracy Preferred Qualifications: Prior experience in speech technology, voice AI, or linguistic data annotation Background in prosody, intonation modeling, or phonological variation Experience working on cross-linguistic phonetic projects Perks of Freelancing With Turing: Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies. Potential for contract extension based on performance and project needs. Offer Details: Engagement type : Contractor assignment/freelancer (no medical/paid leave) Contract Length : 1 month Evaluation Process Shortlisting based on qualifications and relevant professional experience. Shortlisted candidates will undergo a delivery review, after which they will be ready to start!

About the projects:. We are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc,. About the Role:. We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public GitHub repositories and can contribute to this project. You should have experience working with well-maintained, widely-used repos with 500+ stars. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality. Why Join Us?. Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research, What does day-to-day look like:. Analyze and triage GitHub issues across trending open-source libraries, Set up and configure code repositories, including Dockerization and environment setup, Evaluating unit test coverage and quality, Modify and run codebases locally to assess LLM performance in bug-fixing scenarios, Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs, Opportunities to lead a team of junior engineers to collaborate on projects, Required Skills:. Strong experience with at least one of the following languages: Python, JavaScript, Java, Go, Rust, C/C++, C#, or Ruby, Experience working with well-maintained, widely-used repositories with 500+ stars. Proficiency with Git, Docker, and basic software pipeline setup, Ability to understand and navigate complex codebases, Comfortable running, modifying, and testing real-world projects locally, Experience contributing to or evaluating open-source projects is a plus, Note: Experience working with well-maintained, widely-used repositories (500+ stars) is required, Nice to Have:. Previous participation in LLM research or evaluation projects, Experience building or testing developer tools or automation agents, 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:. Commitment required: 20 hours per week with some overlap with PST. Employment type: Contractor assignment (no medical/paid leave). Duration of contract: 1 month with expected start date as next week. Show more Show less

About the projects:. We are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc,. About the Role:. We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public GitHub repositories and can contribute to this project. You should have experience working with well-maintained, widely-used repos with 500+ stars. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality. Why Join Us?. Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research, What does day-to-day look like:. Analyze and triage GitHub issues across trending open-source libraries, Set up and configure code repositories, including Dockerization and environment setup, Evaluating unit test coverage and quality, Modify and run codebases locally to assess LLM performance in bug-fixing scenarios, Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs, Opportunities to lead a team of junior engineers to collaborate on projects, Required Skills:. Strong experience with at least one of the following languages: Python, JavaScript, Java, Go, Rust, C/C++, C#, or Ruby, Experience working with well-maintained, widely-used repositories with 500+ stars. Proficiency with Git, Docker, and basic software pipeline setup, Ability to understand and navigate complex codebases, Comfortable running, modifying, and testing real-world projects locally, Experience contributing to or evaluating open-source projects is a plus, Note: Experience working with well-maintained, widely-used repositories (500+ stars) is required, Nice to Have:. Previous participation in LLM research or evaluation projects, Experience building or testing developer tools or automation agents, 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:. Commitment required: 20 hours per week with some overlap with PST. Employment type: Contractor assignment (no medical/paid leave). Duration of contract: 1 month with expected start date as next week. Show more Show less

About the projects:. We are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc,. About the Role:. We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public GitHub repositories and can contribute to this project. You should have experience working with well-maintained, widely-used repos with 500+ stars. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality. Why Join Us?. Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research, What does day-to-day look like:. Analyze and triage GitHub issues across trending open-source libraries, Set up and configure code repositories, including Dockerization and environment setup, Evaluating unit test coverage and quality, Modify and run codebases locally to assess LLM performance in bug-fixing scenarios, Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs, Opportunities to lead a team of junior engineers to collaborate on projects, Required Skills:. Strong experience with at least one of the following languages: Python, JavaScript, Java, Go, Rust, C/C++, C#, or Ruby, Experience working with well-maintained, widely-used repositories with 500+ stars. Proficiency with Git, Docker, and basic software pipeline setup, Ability to understand and navigate complex codebases, Comfortable running, modifying, and testing real-world projects locally, Experience contributing to or evaluating open-source projects is a plus, Note: Experience working with well-maintained, widely-used repositories (500+ stars) is required, Nice to Have:. Previous participation in LLM research or evaluation projects, Experience building or testing developer tools or automation agents, 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:. Commitment required: 20 hours per week with some overlap with PST. Employment type: Contractor assignment (no medical/paid leave). Duration of contract: 1 month with expected start date as next week. Show more Show less

About the projects:. We are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc,. About the Role:. We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public GitHub repositories and can contribute to this project. You should have experience working with well-maintained, widely-used repos with 500+ stars. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality. Why Join Us?. Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research, What does day-to-day look like:. Analyze and triage GitHub issues across trending open-source libraries, Set up and configure code repositories, including Dockerization and environment setup, Evaluating unit test coverage and quality, Modify and run codebases locally to assess LLM performance in bug-fixing scenarios, Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs, Opportunities to lead a team of junior engineers to collaborate on projects, Required Skills:. Strong experience with at least one of the following languages: Python, JavaScript, Java, Go, Rust, C/C++, C#, or Ruby, Experience working with well-maintained, widely-used repositories with 500+ stars. Proficiency with Git, Docker, and basic software pipeline setup, Ability to understand and navigate complex codebases, Comfortable running, modifying, and testing real-world projects locally, Experience contributing to or evaluating open-source projects is a plus, Note: Experience working with well-maintained, widely-used repositories (500+ stars) is required, Nice to Have:. Previous participation in LLM research or evaluation projects, Experience building or testing developer tools or automation agents, 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:. Commitment required: 20 hours per week with some overlap with PST. Employment type: Contractor assignment (no medical/paid leave). Duration of contract: 1 month with expected start date as next week. Show more Show less

Role Overview:. The Program Manager, Operations, will oversee, coordinate, and manage strategic operational initiatives to ensure efficient and effective implementation across the organization. This role requires strong leadership, excellent organizational skills, and the ability to work collaboratively across departments to meet business objectives, improve operational efficiencies, and deliver measurable outcomes.. Key Responsibilities:. Strategic Planning and Execution: Collaborate with senior leadership to develop comprehensive strategic plans that drive growth and operational excellence. Translate these strategies into actionable goals and oversee their implementation across various departments?. Operational Oversight: Monitor daily operations to ensure alignment with the organization's strategic goals. Identify areas for process improvement and implement solutions to enhance productivity and efficiency.. Cross-Functional Collaboration: Work closely with different departments to ensure cohesive execution of strategies. Facilitate communication between teams to achieve organizational objectives. ?. Performance Monitoring: Establish key performance indicators (KPIs) to track the effectiveness of strategic initiatives. Regularly assess and report on progress, making data-driven recommendations for adjustments as needed. ?. Market Analysis: Conduct thorough analyses of market trends, competitor activities, and internal capabilities to inform strategic decision-making. ?. Required Skills and Qualifications:. Educational Background: Bachelor’s degree in Business Administration, Management, or a related field. A Master’s degree is often preferred.?. Experience: Proven experience in strategic planning and operational management, typically requiring several years in a managerial role.?. Analytical Skills: Strong ability to analyze complex data and translate insights into strategic actions.?. Leadership Abilities: Demonstrated capability to lead cross-functional teams and drive organizational change.?. Communication Skills: Excellent verbal and written communication skills, with the ability to effectively convey complex ideas to diverse audiences.?. Problem-Solving: A proactive approach to identifying issues and implementing innovative solutions.. Advantages of joining Turing:. Amazing work culture (Super collaborative & supportive work environment; 5 days a week). Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience). Competitive compensation. Flexible working hours. Full-time remote opportunity. Show more Show less

About the projects:. We are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc,. About the Role:. We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public GitHub repositories and can contribute to this project. You should have experience working with well-maintained, widely-used repos with 500+ stars. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality. Why Join Us?. Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research, What does day-to-day look like:. Analyze and triage GitHub issues across trending open-source libraries, Set up and configure code repositories, including Dockerization and environment setup, Evaluating unit test coverage and quality, Modify and run codebases locally to assess LLM performance in bug-fixing scenarios, Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs, Opportunities to lead a team of junior engineers to collaborate on projects, Required Skills:. Strong experience with at least one of the following languages: Python, JavaScript, Java, Go, Rust, C/C++, C#, or Ruby, Experience working with well-maintained, widely-used repositories with 500+ stars. Proficiency with Git, Docker, and basic software pipeline setup, Ability to understand and navigate complex codebases, Comfortable running, modifying, and testing real-world projects locally, Experience contributing to or evaluating open-source projects is a plus, Note: Experience working with well-maintained, widely-used repositories (500+ stars) is required, Nice to Have:. Previous participation in LLM research or evaluation projects, Experience building or testing developer tools or automation agents, 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:. Commitment required: 20 hours per week with some overlap with PST. Employment type: Contractor assignment (no medical/paid leave). Duration of contract: 1 month with expected start date as next week. Show more Show less

About the projects:. We are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc,. About the Role:. We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public GitHub repositories and can contribute to this project. You should have experience working with well-maintained, widely-used repos with 500+ stars. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality. Why Join Us?. Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research, What does day-to-day look like:. Analyze and triage GitHub issues across trending open-source libraries, Set up and configure code repositories, including Dockerization and environment setup, Evaluating unit test coverage and quality, Modify and run codebases locally to assess LLM performance in bug-fixing scenarios, Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs, Opportunities to lead a team of junior engineers to collaborate on projects, Required Skills:. Strong experience with at least one of the following languages: Python, JavaScript, Java, Go, Rust, C/C++, C#, or Ruby, Experience working with well-maintained, widely-used repositories with 500+ stars. Proficiency with Git, Docker, and basic software pipeline setup, Ability to understand and navigate complex codebases, Comfortable running, modifying, and testing real-world projects locally, Experience contributing to or evaluating open-source projects is a plus, Note: Experience working with well-maintained, widely-used repositories (500+ stars) is required, Nice to Have:. Previous participation in LLM research or evaluation projects, Experience building or testing developer tools or automation agents, 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:. Commitment required: 20 hours per week with some overlap with PST. Employment type: Contractor assignment (no medical/paid leave). Duration of contract: 1 month with expected start date as next week. Show more Show less

Note - This is onsite job role for - Chennai, Pune, Bangalore, Noida, Gurgaon) Senior LLM Engineer GenAI / ML (Python, Langchain) Full Time Location: India Overall Experience: 7- 12 Years Focus: Hands-on engineering role focused on designing, building, and deploying Generative AI and LLM-based solutions. The role requires deep technical proficiency in Python and modern LLM frameworks with the ability to contribute to roadmap development and cross-functional collaboration. Key Responsibilities: Design and develop GenAI/LLM-based systems using tools such as Langchain and Retrieval-Augmented Generation (RAG) pipelines. Implement prompt engineering techniques and agent-based frameworks to deliver intelligent, context-aware solutions. Collaborate with the engineering team to shape and drive the technical roadmap for LLM initiatives. Translate business needs into scalable, production-ready AI solutions. Work closely with business SMEs and data teams to ensure alignment of AI models with real-world use cases. Contribute to architecture discussions, code reviews, and performance optimization. Skills Required: Proficient in Python, Langchain, and SQL. Understanding of LLM internals, including prompt tuning, embeddings, vector databases, and agent workflows. Background in machine learning or software engineering with a focus on system-level thinking. Experience working with cloud platforms like AWS, Azure, or GCP. Ability to work independently while collaborating effectively across teams. Excellent communication and stakeholder management skills. Preferred Qualifications: 1+ years of hands-on experience in LLMs and Generative AI techniques. Experience contributing to ML/AI product pipelines or end-to-end deployments. Familiarity with MLOps and scalable deployment patterns for AI models. Prior exposure to client-facing projects or cross-functional AI teams.

We are seeking a skilled MLOps/ML Engineer to serve as our subject matter expert for Dataiku DSS. In this pivotal role, you will manage and scale our end-to-end machine learning operations, all of which are built on the Dataiku platform. Key responsibilities include designing automated data pipelines, deploying models as production APIs, ensuring the reliability of scheduled jobs, and championing platform best practices. Extensive, proven experience with Dataiku is mandatory. Gurgaon - Work from office 30 to 40 LPA MAX Immediate or Serving Notice 2 Weeks Data Pipeline Development: Design and implement Extract, Transform, Load (ETL) processes to collect, process, and analyze data from diverse sources. Workflow Optimization: Develop, configure, and optimize Dataiku DSS workflows to streamline data processing and machine learning operations. Integration: Integrate Dataiku DSS with cloud platforms (e.g., AWS, Azure, Google Cloud Platform) and big data technologies such as Snowflake, Hadoop, and Spark. AI/ML Model development & Implementation: Implement and optimize machine learning models within Dataiku for predictive analytics and AI-driven solutions. MLOps & Data Ops: Deployment of data pipelines and AI/ML models within the Dataiku platform. Dataiku Platform Management: Build, Manage & Support Dataiku platform. Automation: Automate data workflows, monitor job performance, and ensure scalable execution. Customization: Develop and maintain custom Python/R scripts within Dataiku to enhance analytics capabilities. Dataiku Project Management: Develop and maintain custom Python/R scripts within Dataiku to enhance analytics capabilities. Required Skills and Qualifications: Experience Level: 2 to 6 years of hands-on experience with Dataiku DSS platform and data engineering. Educational Background: Bachelors or Master’s degree in Computer Science, Data Science, Information Technology, or a related field. Technical Proficiency: Experience with Dataiku DSS platform. Strong programming skills in Python and SQL. Familiarity with cloud services (AWS, Azure, GCP) and big data technologies (Hadoop, Spark). Analytical Skills: Ability to analyze complex data sets and provide actionable insights. Problem-Solving: Strong troubleshooting skills to address and resolve issues in data workflows and models. Communication: Effective verbal and written communication skills to collaborate with team members and stakeholders.

About the Job A U.S.-based company at the forefront of AI-driven innovation is seeking exceptional analytical thinkers to join its team as Reasoning Analysts . This role is ideal for individuals passionate about logic, structured problem-solving, and reading comprehension who want to contribute to cutting-edge commercial and research projects in AI. You will be responsible for consistently delivering high-quality logical reasoning, logic games, and reading comprehension content that supports next-generation AI models. Job Application Link : https://developers.turing.com/invite/eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJqb2JJZCI6Mzg3ODcsInVzZXJJZCI6MTE3NCwidXNlclJvbGUiOiJUQV9TT1VSQ0VEIiwiaWF0IjoxNzUzMTE4MTAyfQ.m_y57wNJ1-VRoMp6sKheXWAFSEWpD7cOEtZwR08pfeE Key Responsibilities Create high difficulty questions from scratch and deliver high-quality outputs across: Logical Reasoning tasks Logic Games challenges Reading Comprehension passages Ensure consistency, accuracy, and clarity in solutions and explanations. Collaborate with researchers and project stakeholders to align on content quality and expectations. Participate in content reviews and incorporate feedback effectively. Job Requirements Strong Engineering or Analytical academic foundation. Demonstrated excellence in standardized competitive exams such as: JEE / AIEEE / BITSAT CAT / GRE / GMAT / LSAT / CLAT etc. ECAT, JAMB UTME, KCSE, Thanaweya Amma, YKS, EXANI Strong logical reasoning and analytical problem-solving skills. Excellent comprehension and communication skills in English, with a strong command of English grammar and the ability to produce clear, concise, and error-free content. Proven attention to detail and structured thinking. Comfortable working independently and delivering on time. Minimum 4-hour work overlap with Pacific Time (PST/PT). Reliable internet connection and suitable remote work environment. Job Benefits Collaborate with global AI experts and thought leaders. Remote, contract-based role with flexible scheduling. Competitive compensation aligned to global standards, paid in USD. Opportunity to impact high-visibility AI projects shaping future innovations. Perks of Freelancing with Turing: Work on the cutting edge of AI and finance. Fully remote and flexible work environment. Exposure to advanced LLMs and insight into how theyre trained. Offer Details: Hours committed: At least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. Engagement Type: Contractor assignment/freelancer (no medical/paid leave) Duration: 3 weeks Location: India Evaluation Process: Shortlisted candidates may be invited to complete a detailed reasoning and comprehension assessment. Candidates who successfully pass the assessment will receive contract assignment offers with specified start/end dates and expected weekly 40-hour commitments.