One of our Dubai Client is looking to engage a&nbsp;part-time Windows Driver Developer&nbsp;who can support us on a deliverables-based engagement. This role does not require full-time commitment; the estimated effort is around&nbsp;40 hours per month. The candidate can be fully employed elsewhere and work with us for specific deliverables.

Requirements:<ul><li>5+ years of experience in software engineering, algorithm design, or systems-level programming.</li><li>Strong proficiency in Ruby with at least 4+ years of experience</li><li>Proven ability to write clear, concise, and technically challenging algorithmic code.</li><li>Strong understanding of algorithmic complexity, per

Requirements:<ul><li>5+ years of experience in software engineering, algorithm design, or systems-level programming.</li><li>Strong proficiency in Java with at least 5+ years of experience</li><li>Proven ability to write clear, concise, and technically challenging algorithmic code.</li><li>Strong understanding of algorithmic complexity, per

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At Agodly Infotech LLP, we are the bridge to your next exceptional project. We specialize in connecting businesses with top-tier remote talent on a contractual basis globally. As the world evolves and remote work becomes the norm, our mission is to empower companies with the best talent, regardless of geographical boundaries.

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*Job Title: AI Engineer* exp:- 6+ yearsPosition Summary: Key Responsibilities: AI/ML Development &amp;amp; Deploymento Design, develop, and train AI/ML models using AWS SageMaker andPython-based frameworkso Utilize AWS Bedrock to develop and fine-tune generative AI solutions,including Retrieval-Augmented Generation (RAG) pipelines.o Implement ML pipelines, including data ingestion, preprocessing,model training, and deployment.  Cloud AI Infrastructureo Leverage AWS services such as Lambda, API Gateway, DynamoDB,S3, CloudWatch, and IAM for AI integration.  Integration &amp;amp; Automationo Integrate AI models with IT applications, APIs, and automation workflows.o Work closely with DevOps teams to implement CI/CD pipelines for AI/MLdeployments. Job Requirements: Technical Skillso Strong proficiency in Python for AI/ML development.o Hands-on experience with AWS Bedrock for generative AI and LLMintegrations.o Strong knowledge of AWS SageMaker for ML model lifecyclemanagement.o Experience with machine learning algorithms, deep learningframeworks, and NLP techniques.o Familiarity with AWS cloud architecture, APIs, and automation tools. Soft Skillso Strong problem-solving and analytical thinking.o Ability to work cross-functionally with IT, business, and data scienceteams.o Excellent communication skills for technical and non-technicalstakeholders.

Qualifications and Skills<ul><li>Proven experience in SAP Testing with a deep understanding of SAP environments and testing methodologies.</li><li>Proficient in using Loadrunner (Mandatory skill) for performance testing in SAP projects to ensure system reliability and performance.</li><li>Skilled in Performance Center (Mandatory skill) to conduct end-to-end performance testing and analysis.</li><li>Ability to identify, analyze, and resolve complex performance issues to ensure optimal function and performance.</li><li>Strong analytical and problem-solving skills with the capability to work efficiently in a remote working environment.</li><li>Excellent communication skills to collaborate effectively with global teams and stakeholders.</li><li>Adept at creating comprehensive test plans, test scripts, and test cases tailored to SAP systems.</li><li>Capacity to work autonomously in a fast-paced environment while adhering to project deadlines and deliverables.</li></ul> Roles and Responsibilities<ul><li>Conduct performance testing for SAP systems utilizing Loadrunner and Performance Center tools.</li><li>Collaborate with cross-functional teams to assess testing requirements and design efficient test strategies.</li><li>Develop, execute, and maintain performance test scripts to simulate real-world workloads on SAP environments.</li><li>Analyze test results and provide insights and recommendations for performance improvements.</li><li>Ensure system performance aligns with business requirements and service level agreements.</li><li>Document testing processes, findings, and recommendations clearly and concisely for stakeholders.</li><li>Continuously monitor system performance and apply innovative solutions to optimize efficiency.</li><li>Stay updated with the latest performance testing strategies and SAP testing advancements.</li></ul>

Qualifications and Skills<ul><li>Proficiency in SAP Plant Maintenance with hands-on experience is expected from all candidates.</li><li>In-depth knowledge and skills in SAP PM (Mandatory skill) are crucial for success in this role.</li><li>Candidates must demonstrate expertise in SAP Plant Maintenance (Mandatory skill) for effective role fulfillment.</li><li>Strong analytical skills to troubleshoot, manage, and resolve issues within SAP modules efficiently.</li><li>Excellent communication skills to collaborate effectively with clients and remote teams seamlessly.</li><li>Ability to work autonomously with little supervision, ensuring proactive engagement and delivery.</li><li>Strong problem-solving capabilities to tackle complex scenarios and operational challenges in SAP PM.</li><li>Proven ability in project management, ensuring timely completion of project goals and client satisfaction.</li></ul> Roles and Responsibilities<ul><li>Develop, implement, and optimize SAP PM modules to meet client requirements and project specifications.</li><li>Collaborate with cross-functional teams to leverage expertise in SAP solutions, ensuring efficient workflows.</li><li>Analyze client needs and provide tailored solutions to enhance their SAP Plant Maintenance operations.</li><li>Facilitate training sessions for end users to maximize their use of SAP PM features and functionalities.</li><li>Manage the maintenance and continuous improvement of SAP PM systems for optimized performance.</li><li>Communicate with clients regularly to update them on project progress, addressing their concerns promptly.</li><li>Conduct regular system audits to ensure integrity and compliance with industry standards and best practices.</li><li>Provide ongoing support and troubleshooting for clients, ensuring their satisfaction and operational success.</li></ul>

Requirements:<ul><li>5+ years of experience in software engineering, algorithm design, or systems-level programming.</li><li>Strong proficiency in Go with at least 4+ years of experience</li><li>Proven ability to write clear, concise, and technically challenging algorithmic code.</li><li>Strong understanding of algorithmic complexity, performance optimization, and computational constraints.</li><li>Experience with test automation, benchmark creation, or complex systems evaluation is a strong plus.</li><li>Familiarity with modern software data formats (e.g., JSON, YAML) and version-controlled codebases.</li><li>Domains of Expertise: Successful candidates will demonstrate deep fluency in at least four of the following areas:</li><li class="ql-indent-1">Core Data Structures: Trie, Segment Tree, Union Find</li><li class="ql-indent-1">Algorithmic Paradigms: Dynamic Programming, Greedy Algorithms, Bitmasking</li><li class="ql-indent-1">Graph Algorithms: Shortest Paths, Network Flow, Topological Sorting</li><li class="ql-indent-1">Mathematics &amp; Number Theory: Geometry, Probability, Modular Arithmetic</li><li class="ql-indent-1">String Processing: Suffix Trees, Rolling Hashing, Pattern Matching</li><li class="ql-indent-1">Advanced Topics: 2-SAT, Fast Fourier Transform (FFT), Linear Programming</li></ul>

Role: LLM Trainer JD for Agent Completion tasksType of Role: GenericEmployment Type: Contractor assignment (no medical/paid leave)Location: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, MexicoYoE: 4Total number of positions: 200Start Date: expected start date as next weekEngagement Length: 6 Weeks Commitment Required At least 4 hours per day and a minimum 20 hours per week with an overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) [Please note: Payout will be as per hours worked, logged and approved in Jibble] Skills req: Vetting 2 interview rounds - Details to be shared&nbsp;&nbsp;Role Overview:This position is within a project with one of the foundational LLM companies. The goal is to assist these foundational LLM companies in enhancing their Large Language Models. One way we help these companies improve their models is by providing them with high-quality proprietary data. This data serves two main purposes: first, as a basis for fine-tuning their models, and second, as an evaluation set to benchmark the performance of their models or competitor models. For example, in the case of Agent Completion (AC) data generation, your task will be to simulate high-quality multi-turn conversations between a user and a smart assistant that utilizes function-calling tools to accomplish user goals. You will craft these dialogues by playing both the assistant and the user, while simulating tool use where necessary to guide the assistant through complex decision-making and real-world reasoning scenarios. What does day-to-day look like: • Design multi-turn conversations that simulate real interactions between users and AI assistants using apps like calendar, email, maps, and drive.• Emulate both the user and the assistant, including the assistant's tool calls (only when corrections are needed).• Carefully select when and how the assistant uses available tools, ensuring logical flow and proper usage of function calls.• Craft dialogues that demonstrate natural language, intelligent behavior, and contextual understanding across multiple turns.• Generate examples that showcase the assistant’s ability to gracefully complete feasible tasks, recognize infeasible ones, and maintain engaging general chat when tools aren’t required.• Ensure all conversations adhere to defined formatting and quality guidelines, using an internal playbook.• Iterate on conversation examples based on feedback to continuously improve realism, clarity, and value for training purposes.• Collaborate with peers and reviewers to maintain consistency and high standards in deliverables.&nbsp;Requirements: • Strong general technical reasoning skills and the ability to model real-world assistant behavior using tool-based APIs.• Ability to break down complex tasks and simulate realistic dialogues that reflect user expectations and assistant limitations.• Experience in any programming language or tech stack is acceptable; a strong grasp of APIs, data formats (e.g., JSON), and logical thinking is more critical than specific toolsets.• Excellent written communication skills in English, with a focus on clarity, tone, and instructional coherence.• Creativity and attention to detail in crafting realistic scenarios and responses.• Experience working with or around LLMs, virtual assistants, or function-calling frameworks is a plus.• Ability to follow detailed guidelines and formatting standards with high consistency.• 4+ years of overall professional experience in a technical or analytical field.