6 Full-Stack Applications Jobs

Lead a high-performing technical team in delivering survey data analytics deliverables and intelligent automation solutions. Initially focused on client engagement and operational excellence, this role evolves into spearheading backend development and process innovation across the market research lifecycle. Job Description: Key Responsibilities Client & Stakeholder Engagement (Short-Term Focus) Act as the primary point of contact for key clients, translating research goals into technical deliverables. Ensure timely, accurate, and high-quality outputs aligned with client expectations and market research standards. Partner with research and project managers to ensure stakeholder feedback is embedded in deliverables. Team Leadership & Capability Development (Short-Term Focus) Guide and mentor a multidisciplinary team (SQL, R, Python, Tableau) in delivering data processing and reporting solutions. Lead sprint planning, resource allocation, and task optimization across concurrent client deliverables. Elevate team performance through structured review processes and personalized skill development plans. Technical Strategy & Innovation (Growing Long-Term Focus) Architect automation and data products to accelerate turnaround time and boost data integrity. Conceptualize and build modular backend components using Python, APIs, microservices, and containerized frameworks. Drive innovation by integrating LLM-based tools and AI models into existing workflows to enhance analytics and decision support. Collaborate cross-functionally to prototype, iterate, and refine full-stack solutions. Deliver internal training and documentation to democratize automation across the team. Required Skills & Qualifications Must-Have 710 years of experience in Market Research tech stack. Strong leadership with a track record of delivering end-to-end client projects. Deep understanding in Forsta Surveys, Qualtrics, SPSS, and data platforms. Advanced programming in SQL, Python, R, React, and VBA. Familiarity with Agile methodology and project management tools. Good to Have Experience integrating APIs and developing full-stack applications. Exposure to LLM-based apps (e.g. GPT integration). Understanding of DevOps practices, Git-based version control, and microservice architecture. Awareness of PMP or Scrum frameworks. Location: Coimbatore Brand: Merkle Time Type: Full time Contract Type: Permanent Show more Show less

About Us Turing is one of the worlds fastest-growing AI companies, pushing the boundaries of AI-assisted software development. Our mission is to empower the next generation of AI systems to reason about and work with real-world software repositories. Youll be working at the intersection of software engineering, open-source ecosystems, and frontier AI. Project Overview We&aposre building high-quality evaluation and training datasets to improve how Large Language Models (LLMs) interact with realistic software engineering tasks. You will have the opportunity to work on a diverse range of projects, from helping models traverse complex code bases to building agents that improve model performance. What Does a Typical Day Look Like Work across multiple different projects to improve LLM performance on code: sample projects Leading and delivering end-to-end agent use cases such as home automation agents, coding copilots, or creative design assistants. Collaborate with the team to identify edge cases and ambiguities in model behavior. Review and compare 34 model-generated code responses per task using a structured ranking system. Evaluate code diffs for correctness, code quality, style, and efficiency. Provide clear, detailed rationales explaining the reasoning behind each ranking decision. Required Skills Several years of software engineering experience, including 2+ years of continuous full-time experience at a top-tier product company (e.g., Google, Stripe, Amazon, Apple, Meta, Netflix, Microsoft, Datadog, Dropbox, Shopify, PayPal, IBM Research). Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools. Deep understanding of software architecture, design, development, debugging, and code quality/review assessment. Proven ability to review code diffs and evaluate correctness, maintainability, and efficiency. Excellent oral and written communication skills for clear, structured evaluation rationales. Engagement Details Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week (partial PST overlap required) Type: Contractor (no medical/paid leave) Duration: 1 month (starting next week; potential extensions based on performance and fit) Show more Show less

About Us Turing is one of the worlds fastest-growing AI companies, pushing the boundaries of AI-assisted software development. Our mission is to empower the next generation of AI systems to reason about and work with real-world software repositories. Youll be working at the intersection of software engineering, open-source ecosystems, and frontier AI. Project Overview We&aposre building high-quality evaluation and training datasets to improve how Large Language Models (LLMs) interact with realistic software engineering tasks. You will have the opportunity to work on a diverse range of projects, from helping models traverse complex code bases to building agents that improve model performance. What Does a Typical Day Look Like Work across multiple different projects to improve LLM performance on code: sample projects Leading and delivering end-to-end agent use cases such as home automation agents, coding copilots, or creative design assistants. Collaborate with the team to identify edge cases and ambiguities in model behavior. Review and compare 34 model-generated code responses per task using a structured ranking system. Evaluate code diffs for correctness, code quality, style, and efficiency. Provide clear, detailed rationales explaining the reasoning behind each ranking decision. Required Skills Several years of software engineering experience, including 2+ years of continuous full-time experience at a top-tier product company (e.g., Google, Stripe, Amazon, Apple, Meta, Netflix, Microsoft, Datadog, Dropbox, Shopify, PayPal, IBM Research). Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools. Deep understanding of software architecture, design, development, debugging, and code quality/review assessment. Proven ability to review code diffs and evaluate correctness, maintainability, and efficiency. Excellent oral and written communication skills for clear, structured evaluation rationales. Engagement Details Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week (partial PST overlap required) Type: Contractor (no medical/paid leave) Duration: 1 month (starting next week; potential extensions based on performance and fit) Show more Show less

About Us Turing is one of the worlds fastest-growing AI companies, pushing the boundaries of AI-assisted software development. Our mission is to empower the next generation of AI systems to reason about and work with real-world software repositories. Youll be working at the intersection of software engineering, open-source ecosystems, and frontier AI. Project Overview We&aposre building high-quality evaluation and training datasets to improve how Large Language Models (LLMs) interact with realistic software engineering tasks. You will have the opportunity to work on a diverse range of projects, from helping models traverse complex code bases to building agents that improve model performance. What Does a Typical Day Look Like Work across multiple different projects to improve LLM performance on code: sample projects Leading and delivering end-to-end agent use cases such as home automation agents, coding copilots, or creative design assistants. Collaborate with the team to identify edge cases and ambiguities in model behavior. Review and compare 34 model-generated code responses per task using a structured ranking system. Evaluate code diffs for correctness, code quality, style, and efficiency. Provide clear, detailed rationales explaining the reasoning behind each ranking decision. Required Skills Several years of software engineering experience, including 2+ years of continuous full-time experience at a top-tier product company (e.g., Google, Stripe, Amazon, Apple, Meta, Netflix, Microsoft, Datadog, Dropbox, Shopify, PayPal, IBM Research). Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools. Deep understanding of software architecture, design, development, debugging, and code quality/review assessment. Proven ability to review code diffs and evaluate correctness, maintainability, and efficiency. Excellent oral and written communication skills for clear, structured evaluation rationales. Engagement Details Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week (partial PST overlap required) Type: Contractor (no medical/paid leave) Duration: 1 month (starting next week; potential extensions based on performance and fit) Show more Show less

You will work in our Mastercard technology location in Pune, India which provides a state-of-the-art environment for technology teams to thrive in our collaborative, Agile engineering culture. You will play a key role in how Mastercard transforms the B2B space to standardize, automate, and optimize digital payment efficiency for Buyers and Sellers. Role Be a leading contributor to microservices planning, design, and development. Build and maintain full-stack applications & services using Angular, Java, and PCF. Deliver code with exceptional quality and security that operates at scale. Perform code reviews and retrospectives, and approve Pull Requests using Git. Collaborate with architects, software engineers, test engineers, TPMs, and PM-Ts. Coordinate with DevOps on the design and maintenance of the build pipeline. Provide technical leadership to software engineers. Ensure that you use 12-factor app design principles in your development. Ensure that the systems you create comply with Mastercard engineering best practices and governance models, including security, operations, and Enterprise Architecture Requirements: All About You You have a solid foundation in Computer Science fundamentals, web applications, and microservices-based software architecture. You have a deep understanding of web technologies, including HTML5, CSS, Javascript, and front-end frameworks such as Angular. You have deep experience building applications using Java and PCF. You have experience using storage technologies such as PostgreSQL or Oracle and delivering solutions that leverage them at a massive scale. You have experience with automated testing and successfully releasing software in a continuous delivery model using Git. You enjoy working in an Agile team focused on continuous improvement. You have a strong desire to deepen your knowledge, collaborate within a team, and mentor software engineers. You are passionate about the art of delivering the highest quality software to customers. You have excellent communication skills

Sr Applications Developer - (Full Stack Developer - AI Engineering Practice) BMC is looking for an experienced Full Stack Developer to join our team working on building and maintaining our Generative AI engineering and research platform. This position involves working with advanced AI technologies, balancing practical engineering implementation with innovative AI solutions, and ensuring code quality and functionality in our AI applications. Here is how, through this exciting role, YOU will contribute to BMC's and your own success: Design and develop full-stack applications using React (frontend) and Fast API (backend) Build and optimize LLM applications using Langchain and related frameworks Architect and maintain cloud-native applications on AWS EKS clusters Implement and optimize integrations with Bedrock services for LLM functionalities Develop and maintain AI pipelines using Python ML frameworks Manage and optimize databases (ex. PostgreSQL) in AWS RDS Integrate and maintain SSO solutions using OKTA Collaborate with AI researchers to implement and deploy ML models Design and develop RESTful APIs for AI service integration Implement secure and scalable cloud infrastructure using AWS services Lead technical design discussions and architecture reviews To ensure youre set up for success, you will bring the following skillset & experience: 5+ years of full-stack development experience Strong proficiency in React.js and modern JavaScript/TypeScript Expert-level Python development skills Experience with Python AI/ML frameworks: Langchain for LLM applications NumPy and Pandas for data manipulation Scikit-learn for ML implementations PyTorch or TensorFlow (preferred) Experience with Fast API framework Proven experience with AWS services, especially EKS and RDS Solid understanding of Kubernetes and container orchestration Experience with PostgreSQL and database optimization Knowledge of authentication systems and SSO implementation (OKTA preferred) Experience with CI/CD pipelines and DevOps practices Understanding of RESTful API design principles Whilst these are nice to have, our team can help you develop in the following skills: Experience with LLM integration and AI services Familiarity with AWS Bedrock or similar AI services Strong background in Python ecosystem: Hugging Face transformers Streamlet for AI applications Experience with vector databases (e.g., Pinecone, Chroma) Experience in prompt engineering and LLM optimization techniques Experience in implementing microservices architecture Experience with monitoring and observability tools Security best practices in cloud environments The ideal candidate will demonstrate full stack proficiency via past work samples, GitHub projects, whiteboarding sessions and a potential live coding test