679 Langchain Jobs - Page 11

About the job: Key responsibilities: 1. Design and build AI-native backend systems (django) that power next-generation agentic workflows using Python and modular service architectures 2. Integrate Large Language Models (LLMs) into real-world applications using frameworks like LangGraph, AutoGen, and other orchestration tools 3. Develop autonomous agents capable of reasoning, tool use, and dynamic task execution across complex multi-step workflows 4. Work on the bleeding edge of AI automation, collaborating with researchers from institutions like Stanford and global AI innovation teams 5. Deploy and scale AI systems on the cloud (primarily AWS), ensuring high performance, security, and real-time responsiveness 6. Translate abstract prompts and product visions into intelligent, working systems from backend logic to toolchain integration 7. Take ownership from Day 1 you'll be trusted to build, break, and improve AI systems that are used in production Who can apply: Only those candidates can apply who: have minimum 1 years of experience are from Indore only are Computer Science Engineering students Salary: ₹ 4,50,000 - 8,00,000 /year Experience: 1 year(s) Deadline: 2025-08-17 23:59:59 Other perks: Informal dress code, 5 days a week Skills required: Python, Django, Machine Learning, Docker, GitHub, React, REST API, Backend development, Amazon Web Services (AWS), Deep Learning, Artificial intelligence, LangChain and LLMOps Other Requirements: 1. Think like builders, not just coders — you care about the why, not just the how 2. Have a strong command of Python and aren’t afraid to dive deep into new tools or frameworks 3. Are obsessed with AI — whether it’s LLMs, agentic systems, prompt design, or building autonomous workflows 4. Understand APIs, cloud (AWS), and can glue systems together like a pro 5. Learn fast, fail smart, and iterate even faster — AI moves quickly, and so do you 6. Love debugging, optimizing, and making systems cleaner and smarter, not just "getting it to work" 7. Enjoy working across layers — backend-first but ready to explore frontend or DevOps when needed 8. Want ownership, not tasks — you’ll help shape the product, not just follow tickets 9. Are curious about how autonomous agents think and act, and want to be part of building that future 10. Bring energy, initiative, and ideas to the table, not just skills About Company: Valutics helps organizations define and execute end-to-end strategies across AI, data, cloud, and business transformation. We design scalable architectures, build transformation roadmaps, and align every initiative to enterprise priorities. With our proprietary frameworks and accelerators, we drive faster execution, improved efficiency, and measurable outcomes. From AI strategy and platform engineering to agile delivery and optimization, we bring the structure and expertise to lead your most critical initiatives forward.

Job Title: Senior AI Engineer (Clinical Research) Required Experience: 3+ years Location: Pune Job Description: We are seeking a highly skilled and experienced Senior AI Engineer to lead the development and deployment of advanced artificial intelligence and machine learning solutions for clinical research initiatives. This role will drive innovation in clinical data extraction, patient cohort analysis, protocol optimization, and predictive modeling to support better decision-making and operational efficiencies in clinical trials. This position requires a strong combination of technical expertise, leadership skills, and business acumen . Key Responsibilities 1. AI/ML Development & Deployment Develop and deploy machine learning models for extracting, classifying, and analyzing structured and unstructured clinical data (e.g., EMRs, CRFs, protocols). Apply NLP techniques for entity recognition, relationship extraction, summarization, and semantic search of clinical trial texts. Build predictive models for trial success, patient recruitment, dropout risk, and adverse event detection. Lead the development of GenAI workflows, including LLM/SLM/VLM-based pipelines and multi-modal AI applications. Implement computer vision and OCR/IDP models for clinical document processing and imaging. 2. RAG (Retrieval-Augmented Generation) & LLM Engineering Design and optimize RAG workflows, including embedding and retrieval pipelines. Work with Gemini Flash 2.5 or similar models (e.g., GPT-4, Claude) for LLM-based clinical data tasks. Fine-tune prompt engineering, context window optimization, and chunking strategies. Integrate and manage vector stores such as FAISS, Chroma, or Vertex AI Matching Engine. 3. Data Engineering & Pipelines Collaborate with data engineers to build scalable pipelines for ingesting and transforming clinical and biomedical data (e.g., PubMed, CT.gov, EHR, imaging). Handle data cleansing, harmonization, annotation, and transformation for ML readiness. Develop ingestion processes for structured and unstructured sources: PDF, SCORM, HTML, internal documents. 4. Evaluation, Monitoring & Regulatory Compliance Evaluate models using domain-specific metrics (e.g., precision@k, response confidence) and build continuous feedback loops. Ensure transparency, explainability, and reproducibility in model design. Maintain compliance with HIPAA, GDPR, and GxP/ISO 13485 standards. 5. Leadership & Collaboration Lead and mentor a team of junior data scientists and ML engineers. Define and drive AI strategy aligned with clinical and regulatory objectives. Collaborate with clinical scientists, statisticians, product managers, and regulatory teams to translate clinical goals into technical AI solutions. 6. Project & Technical Ownership Own end-to-end execution of AI projects: scoping, design, development, deployment, monitoring. Provide technical direction in deep learning (CNNs, Capsule Networks, Variational Autoencoders, Graph Neural Networks). Ensure MLOps best practices, including CI/CD, monitoring, logging, and governance in cloud environments. Technical Skills & Experience Must-Have: Proficiency in Python (FastAPI/Flask), LangChain, HuggingFace, and vector database integrations. Experience with embedding techniques and vector similarity (cosine, dot product, top-k retrieval). Hands-on experience with GenAI models (e.g., Gemini Flash 2.5, GPT-4, Claude). Knowledge of biomedical ontologies (UMLS, SNOMED CT, MeSH) and EDC systems. Familiarity with CDISC, HL7 FHIR, and OMOP CDM standards for clinical data. Proven experience in deploying AI models on cloud platforms: AWS SageMaker, GCP Vertex AI, or Azure ML. Desirable: Exposure to MLOps, scientific ML, and data visualization tools. Experience with Google Cloud (AlloyDB, Vertex AI APIs, secure deployments). Working knowledge of LMS content ingestion (PDFs, SCORM, HTML). Familiarity with frameworks like LlamaIndex or Haystack. Qualifications Bachelors or Masters in Computer Science, Biomedical Engineering, Data Science, or related field. PhD preferred. 3+ years of AI/ML experience, with 1+ years in clinical research or healthcare. Strong leadership, communication, and stakeholder management skills. Demonstrated success in translating complex clinical problems into deployable AI solutions.

As an AI Software Engineer at DHL IT Services, you will be part of a global team of 5600+ IT professionals dedicated to innovating and creating sustainable digital solutions to keep the global economy running smoothly. Your role will involve shaping the technology backbone of the world's largest logistics company, pushing boundaries, and leaving a mark on the industry. Our commitment to exceptional employee experiences is reflected in our #GreatPlaceToWork certification, ensuring a supportive and diverse environment where you can continuously expand your skills and grow professionally. As an AI Engineer, you will play a crucial role in finding solutions to improve efficiency in delivering solutions for faster time to market. Proficiency in Python, Prompt Engineering, Generative AI models, and AI use cases application are essential for this role. Knowledge of AI workflow tools such as LangChain and n8n will be a significant advantage in enhancing our business and IT processes. You will be responsible for leveraging available AI tools to apply real-world use cases for better productivity, breaking down tasks to use the right learning models, and ensuring relevant and high-quality results through context engineering using RAG and MCP protocols. Working independently, prioritizing tasks under time and workload pressure, and collaborating with multinational teams are key aspects of this role. Advanced proficiency in spoken and written English will be beneficial for effective cross-region collaboration. In return, we offer a range of benefits including hybrid work arrangements, generous annual leave, comprehensive medical insurance coverage, and in-house training programs for professional and technical certifications. Join us on this exciting journey of digitalization and innovation at DHL IT Services.,

As a Lead Backend Engineer at Team Geek Solutions, you will be at the forefront of innovation, working with cutting-edge technology to solve real-world problems through scalable backend systems and advanced AI solutions. You will be part of a collaborative and forward-thinking culture, where your role is crucial in creating impactful products. If you are ready to lead with purpose and innovate with passion, this is the place for you. Your primary responsibility will be to lead and mentor a team of backend and AI engineers, guiding them in building scalable backend architectures and AI-driven solutions. You will be expected to architect and develop robust solutions using Java and Python, utilizing state-of-the-art Large Language Models (LLMs) such as OpenAI and HuggingFace models. In this role, you will be solving complex problems using structured and unstructured data, applying techniques like Retrieval-Augmented Generation (RAG) to enhance the performance of LLM-based systems. You will also be responsible for developing end-to-end ML pipelines, including training, fine-tuning, evaluation, deployment, and monitoring. Collaboration with business and product teams to identify use cases and deliver AI-powered solutions will be a key aspect of your role. Staying updated with the latest advancements in AI and integrating best practices into development workflows will be essential to drive continuous innovation. To excel in this role, you should have proficiency in Java and Python, with hands-on experience in both languages. A solid understanding of Data Structures & Algorithms, along with deep experience in Transformer-based models, LLM fine-tuning, and deployment, will be necessary. Hands-on experience with PyTorch, LangChain, and Python web frameworks like Flask and FastAPI is also required. Additionally, strong database skills with SQL, experience in deploying and managing ML models in production environments, and leadership experience in managing engineering teams will be beneficial for this role. Exposure to LLMOps tools and techniques, cloud platforms like AWS/GCP/Azure, and excellent written and verbal communication skills will be considered advantageous. If you are passionate about innovation and building AI-first products, and possess the required skills and experience, we invite you to join our team at Team Geek Solutions in Noida or Indore.,

Position Summary: We are looking for a visionary and deeply experienced Principal Data Scientist with 15+ years of experience in advanced data science and machine learning, and proven leadership in Generative AI (GenAI) . You will be responsible for conceptualizing and delivering high-impact AI solutions using large language models (LLMs), diffusion models, and other GenAI techniques, while also mentoring teams and influencing AI strategy across the organization. Key Responsibilities: AI Strategy & Leadership Drive the strategic direction of Generative AI initiatives aligned with business objectives. Evaluate, prototype, and implement GenAI technologies (e.g., GPT, Claude, LLaMA, Stable Diffusion). Serve as an AI thought leader, influencing executive decision-making and shaping the company's AI roadmap. Model Development & Deployment Design and build advanced GenAI solutions, including prompt engineering, fine-tuning, and retrieval-augmented generation (RAG). Lead the end-to-end development and deployment of ML/GenAI models into production environments. Develop scalable architectures for serving LLMs and other foundation models. Research & Innovation Stay at the forefront of GenAI advancements by engaging with academic research, open-source communities, and industry forums. Contribute to internal AI research initiatives and explore novel applications of generative models. Publish whitepapers, patents, or present at top AI conferences as applicable. Cross-functional Collaboration Collaborate closely with data engineering, product, design, and business stakeholders to translate complex needs into AI-powered solutions. Educate teams on the capabilities, limitations, and ethical considerations of GenAI. Mentorship & Governance Mentor and coach junior and mid-level data scientists. Establish best practices for model governance, ethical AI, bias mitigation, and model explainability. Define frameworks for AI evaluation, monitoring, and lifecycle management. Required Qualifications: 15+ years of experience in data science, machine learning, or artificial intelligence. Demonstrated expertise in building and deploying GenAI solutions, particularly with large-scale language and vision models. Deep knowledge of ML/DL frameworks (e.g., PyTorch, TensorFlow, Hugging Face, LangChain). Strong programming skills in Python and experience with cloud-based ML platforms (AWS SageMaker, Azure ML, Vertex AI). Strong grounding in statistics, probability, optimization, and deep learning theory. Experience working with multimodal data (text, image, audio, video) and advanced NLP/NLG techniques. Preferred Qualifications: Ph.D. or Master's in Computer Science, Machine Learning, Mathematics, or related field. Experience with enterprise applications of GenAI (e.g., content generation, synthetic data, co-pilots, document understanding). Familiarity with MLOps and AI model lifecycle management in production environments. Knowledge of AI regulations, data privacy, and responsible AI frameworks.

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Senior Principal Consultant- Generative AI - Application development Senior Developer We are looking for a Senior Application Developer to join our product engineering team. This role requires hands-on experience in designing and developing scalable application components with a strong focus on API development, middleware orchestration, and data transformation workflows. You will be responsible for building foundational components that integrate data pipelines, orchestration layers, and user interfaces, enabling next-gen digital and AI-powered experiences. Key Responsibilities: Design, develop, and manage robust APIs and middleware services using Python frameworks like FastAPI and Uvicorn , ensuring scalable and secure access to platform capabilities. Develop end-to-end data transformation workflows and pipelines using LangChain , spacy , tiktoken , presidio-analyzer, and llm -guard, enabling intelligent content and data processing. Implement integration layers and orchestration logic for seamless communication between data sources, services, and UI using technologies like OpenSearch, boto3, requests-aws4auth, and urllib3. Work closely with UI/UX teams to integrate APIs into modern front-end frameworks such as ReactJS, Redux Toolkit, and Material UI. Build configurable modules for ingestion, processing, and output using Python libraries like PyMuPDF , openpyxl , and Unidecode for handling structured and unstructured data. Implement best practices for API security, data privacy, and anonymization using tools like presidio-anonymizer and llm -guard. Drive continuous improvement in performance, scalability, and reliability of the platform architecture. Qualifications we seek in you: Minimum Qualifications Experience in software development in enterprise/ web applications Languages & Frameworks: Python, JavaScript/TypeScript, FastAPI , ReactJS, Redux Toolkit Libraries & Tools: langchain , presidio-analyzer, PyMuPDF , spacy, rake- nltk , inflection, openpyxl , tiktoken APIs & Integration: FastAPI , requests, urllib3, boto3, opensearch-py , requests-aws4auth UI/UX: ReactJS, Material UI, LESS Cloud & DevOps: AWS SDKs, API gateways, logging, and monitoring frameworks (optional experience with serverless is a plus) Preferred Qualifications: Strong understanding of API lifecycle management, REST principles, and microservices. Experience in data transformation, document processing, and middleware architecture. Exposure to AI/ML or Generative AI workflows using LangChain or OpenAI APIs. Prior experience working on secure and compliant systems involving user data. Experience in CI/CD pipelines, containerization (Docker), and cloud-native deployments (AWS preferred). Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Job Title: AI/ML Architect GenAI, LLMs & Enterprise Automation Location: Bangalore Experience: 8+ years (including 4+ years in AI/ML architecture on cloud platforms) Role Summary We are seeking an experienced AI/ML Architect to define and lead the design, development, and scaling of GenAI-driven solutions across our learning and enterprise platforms. This is a senior technical leadership role where you will work closely with the CTO and product leadership to architect intelligent systems powered by LLMs, RAG pipelines, and multi-agent orchestration. You will own the AI solution architecture end-to-endfrom model selection and training frameworks to infrastructure, automation, and observability. The ideal candidate will have deep expertise in GenAI systems and a strong grasp of production-grade deployment practices across the stack. Must-Have Skills AI/ML solution architecture experience with production-grade systems Strong background in LLM fine-tuning (SFT, LoRA, PEFT) and RAG frameworks Experience with vector databases (FAISS, Pinecone) and embedding generation Proficiency in LangChain, LangGraph , LangFlow, and prompt engineering Deep cloud experience (AWS: Bedrock, ECS, Lambda, S3, IAM) Infra automation using Terraform, CI/CD via GitHub Actions or CodePipeline Backend API architecture using FastAPI or Node.js Monitoring & observability using Langfuse, LangWatch, OpenTelemetry Python, Bash scripting, and low-code/no-code tools (e.g., n8n) Bonus Skills Hands-on with multi-agent orchestration frameworks (CrewAI, AutoGen) Experience integrating AI/chatbots into web, mobile, or LMS platforms Familiarity with enterprise security, data governance, and compliance frameworks Exposure to real-time analytics and event-driven architecture Youll Be Responsible For Defining the AI/ML architecture strategy and roadmap Leading design and development of GenAI-powered products and services Architecting scalable, modular, and automated AI systems Driving experimentation with new models, APIs, and frameworks Ensuring robust integration between model, infra, and app layers Providing technical guidance and mentorship to engineering teams Enabling production-grade performance, monitoring, and governance

Position Overview We are seeking an experienced AI/ML Architect with 10+ years of experience, specializing in ML and Gen AI. The ideal candidate will possess the technical depth to design and implement cutting-edge AI/ML solutions, particularly leveraging large language models (LLMs) and agentic workflows, while translating business requirements into actionable technical architectures. This role requires a hands-on professional who thrives in a dynamic environment, delivering impactful AI/ML strategies and solutions. Skills: Technical Expertise Very good Skills in Python, Pandas, NumPy, SQL Excellent understanding of Machine Learning algorithms and metrics. Proficiency with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Hands-on experience with LLM frameworks like LangChain, LlamaIndex, or similar tools. Strong knowledge of at least one hyperscaler (preferably GCP or Azure). Proficiency and understanding of ML APIs on the cloud. Experience in designing and implementing agentic workflows and modular AI solutions using frameworks like LangGraph, Crew.ai, Microsoft Autogen etc. Understanding of data pipelines, ETL frameworks, and big data technologies (e.g., Spark, Snowflake, Hadoop). Architecture Design Expertise in creating AI/ML solution blueprints and technical diagrams. Familiarity with MLOps practices, microservices architecture, containerization (Docker, Kubernetes), and CI/CD pipelines. Excellent understanding in Gen AI frameworks and models. Prompt Engineering, GANs, OpenAI, Dall-E, Stable Diffusion, Langchain, Lllama2. Prior experience in technical presales and building proposal Domain Expertise Preferred domain expertise in consumer/CPG/retail, supply chain Soft Skills Strong communication skills with the ability to present technical solutions to business leaders. Proven ability to collaborate cross-functionally with technical and non-technical teams. Problem-solving mindset with a focus on innovation and impact. Role Description: Solution Design & Architecture Work with business teams to identify requirements and design AI/ML solutions that address key challenges in the consumer/CPG/retail sectors. Develop comprehensive architecture diagrams and technology stacks tailored to business needs. Incorporate LLM frameworks (e.g., LangChain, LlamaIndex) into solution designs to deliver advanced language-based functionalities. Technical Implementation & Agentic Workflows Design and implement agentic workflows using LLMs to automate decision-making and complex processes. Build modular, scalable solutions that integrate with existing enterprise systems and tools. Ensure solutions are aligned with MLOps practices for robust deployment and monitoring. Prototyping & POCs Rapidly develop proof-of-concept (POC) models and prototypes, showcasing the feasibility and value of AI/ML solutions. Test and refine LLM-driven workflows and agent-based models to meet business objectives. Presales Lead AI discussions with prospects presenting Calsofts capabilities and experience and discussing client need Understand client need and design technical solution, high-level work plans, and estimates required for an AI related sales proposal

Job Title : Full Stack Engineer Job Type : Full-Time Location : Hyderabad Experience Level : Mid-Level (Minimum 2 Years) Position Overview We are currently seeking a skilled and dedicated Full Stack Engineer to join our dynamic development team. The ideal candidate will possess a minimum of two years of professional experience in both frontend and backend development, and demonstrate a strong ability to deliver scalable, secure, and high-performance web applications. This role offers an excellent opportunity to work on end-to-end software solutions in a collaborative and innovative environment. Open Positions Frontend Developers : 2 positions (13 years of experience) Backend Developers : 3 positions (4+ years of experience) Key Responsibilities Design, develop, and maintain full-stack web applications using contemporary frameworks and technologies. Develop RESTful APIs and integrate third-party services where applicable. Ensure the delivery of clean, maintainable, and efficient code across both client-side and server-side applications. Collaborate with UI/UX teams to implement user-centric, responsive interfaces. Participate in code reviews, unit testing, and system integration testing. Optimize application performance for speed, scalability, and robustness. Engage with product management teams to gather and understand project requirements. Identify, troubleshoot, and resolve production-level issues in a timely manner. Required Qualifications A minimum of 3+ years of hands-on experience in full stack development. Proficiency in JavaScript/TypeScript and frontend frameworks such as React , Vue , or Angular . Practical experience with backend technologies such as Node.js , Express , Django , or Ruby on Rails . In-depth understanding of HTML, CSS, and modern responsive design principles. Experience with relational and/or NoSQL databases such as PostgreSQL , MySQL , or MongoDB . Proficiency in version control systems, particularly Git . Familiarity with Agile development methodologies. Strong problem-solving abilities and effective communication skills. Ability to work both independently and collaboratively within a team setting. Preferred Qualifications Experience working with cloud platforms such as Amazon Web Services (AWS) , Microsoft Azure , or Google Cloud Platform (GCP) . Understanding of containerization and orchestration tools such as Docker and Kubernetes . Familiarity with CI/CD tools and DevOps practices. Exposure to automated testing frameworks including Jest , Mocha , or similar. Benefits Competitive compensation package Flexible working hours and remote work options Opportunities for professional development and career advancement Comprehensive health and wellness programs A collaborative and growth-oriented work culture

Level: Assistant manager Location : Bangalore Interested candidates can share their resume with rhythmrhythm@kpmg.com Role & responsibilities: Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business questions •Create Proof of concepts (POCs) / Minimum Viable Products (MVPs), then guide them through to production deployment and operationalization of projects •Influence machine learning strategy for Digital programs and projects •Make solution recommendations that appropriately balance speed to market and analytical soundness •Develop analytical / modelling solutions using a variety of commercial and open-source tools (e.g., Python, R, TensorFlow) •Formulate model-based solutions by combining machine learning algorithms with other techniques such as simulations. •Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories. •Create algorithms to extract information from large, multiparametric data sets. •Deploy algorithms to production to identify actionable insights from large databases. •Compare results from various methodologies and recommend optimal techniques. •Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories. •Develop and embed automated processes for predictive model validation, deployment, and implementation •Work on multiple pillars of AI including cognitive engineering, conversational bots, and data science Preferred candidate profile : Bachelor of Science or Bachelor of Engineering at a minimum Good hands-on skills in both feature engineering and hyperparameter optimization Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL, Hadoop/Hive, Scala) Must to Have : Agent Framework, RAG Framework, Chunking Strategies, LLMs, AI on cloud Services, Open Source Frameworks like Langchain, Llama Index, Vector Database, Token Management, Knowledge Graph, Vision APIs, Prompt Engineering

Responsibilities: * Lead ML projects from ideation to deployment using Microsoft tools. * Collaborate with cross-functional teams on project requirements and deliverables. Work from home

Job Title: Software Engineer Job Type: Full-Time Experience Level: Mid-Level (4 - 6 years) What You Can Expect from the Job As a Mid-Level AI Engineer focused on Large Language Model (LLM) development , you will: Build and optimize LLM-powered applications using LangChain , CrewAI , and other orchestration tools. Implement context management protocols to improve model memory and performance. Design and deploy user-friendly interfaces using OpenWebUI for interacting with LLMs. Prepare and manage datasets for training, fine-tuning, and inference. Integrate vector databases (e.g., FAISS, Pinecone) and retrieval-augmented generation (RAG) pipelines. Collaborate with cross-functional teams on prompt engineering, agent workflows, and intelligent automation. Stay current with the latest developments in LLMs, open-source tools, and AI research. Contribute to scalable, ethical, and production-ready AI systems. What Will Help You Do the Job Well Must have skills/characteristics 46 years of experience in AI/ML engineering, with a focus on NLP or LLMs. Strong proficiency in Python and experience with frameworks like LangChain , CrewAI , and Transformers (Hugging Face) . Hands-on experience with OpenWebUI for deploying and managing LLM interfaces. Solid understanding of model context protocols , token limits, and memory handling. Experience in data preparation , including cleaning, labelling, and formatting for LLM workflows. Familiarity with vector databases , embedding models , and retrieval systems . A collaborative mindset and the ability to work in fast-paced, agile environments. Other desirable skills/characteristics Experience with agent-based architectures and multi-agent coordination. Knowledge of LLMOps , model deployment, and monitoring tools. Familiarity with Microsoft Co-pilot and its integration into enterprise workflows. Contributions to open-source AI projects or research publications. Knowledge if ISMS Principles and best practices. Willingness to Travel domestic/international. Thank you for your interest with CCS. We hope you find a meaningful career! Please send your profiles to careers@ccs-technologies.com We will Trust, Recognize, Care You will – Learn, Contribute, Grow

As a Dot Net Full Stack Developer- Gen AI at our technology services client, you will be part of a dynamic team on a contract basis with a strong potential for conversion to full-time employment. Your primary location options include Bangalore, Noida, or Pune, and the ideal candidate will be able to start within an immediate to 15-day notice period. Your role will involve working with Microservice and Event-Driven architectures, utilizing skills in C#, .NET 7.0+/CORE, SQL/No SQL, Web API, and various GenAI models from OpenAI. While not mandatory, experience in Python, Django, Flask, React, and AngularJS would be beneficial. To excel in this position, you should hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Your responsibilities will include developing web applications, customer-facing integrations, and Cloud Native development using Azure. A minimum of 3 years of experience with various GenAI models is required, along with knowledge of Agentic AI/Frameworks and Azure services such as Azure Data Factory, Logic Apps, and functions. Your tasks will encompass technical design, development, and support of web applications and API frameworks, integrating with different systems, AI models, and orchestration layers. Proficiency in ORM Tools, Azure Stack, CI/CD, container deployments, and Git code repository is essential. Hands-on experience in C# .NET Core, CosmosDB, Web Application Development, Web APIs, and knowledge of REST APIs and data structures are crucial. Additionally, you should possess good debugging and analytical skills, familiarity with design patterns, code reviews, caching strategies, and the ability to analyze client requirements and propose solutions. Strong communication skills are necessary for effectively conveying information to peers, leadership, and customers via email, phone, or in-person interactions. If you meet these requirements and are interested in this opportunity, please share your updated resume with us at sathwik@s3staff.com. We look forward to potentially welcoming you to our team.,

We are looking for a highly motivated Mid-Level AI Engineer to join our growing AI team. Your main responsibility will be to develop intelligent applications using Python, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) systems. Working closely with data scientists, backend engineers, and product teams, you will build and deploy AI-powered solutions that provide real-world value. Your key responsibilities will include designing, developing, and optimizing applications utilizing LLMs such as GPT, LLaMA, and Claude. You will also be tasked with implementing RAG pipelines to improve LLM performance using domain-specific knowledge bases and search tools. Developing and maintaining robust Python codebases for AI-driven solutions will be a crucial part of your role. Additionally, integrating vector databases like Pinecone, Weaviate, and FAISS, as well as embedding models for information retrieval, will be part of your daily tasks. You will work with APIs, frameworks like LangChain and Haystack, and various tools to create scalable AI workflows. Collaboration with product and design teams to define AI use cases and deliver impactful features will also be a significant aspect of your job. Conducting experiments to assess model performance, retrieval relevance, and system latency will be essential for continuous improvement. Staying up-to-date with the latest research and advancements in LLMs, RAG, and AI infrastructure is crucial for this role. To be successful in this position, you should have at least 3-5 years of experience in software engineering or AI/ML engineering, with a strong proficiency in Python. Experience working with LLMs such as OpenAI and Hugging Face Transformers is required, along with hands-on experience in RAG architecture and vector-based retrieval techniques. Familiarity with embedding models like SentenceTransformers and OpenAI embeddings is also necessary. Knowledge of API design, deployment, performance optimization, version control (e.g., Git), containerization (e.g., Docker), and cloud platforms (e.g., AWS, GCP, Azure) is expected. Preferred qualifications include experience with LangChain, Haystack, or similar LLM orchestration frameworks. Understanding NLP evaluation metrics, prompt engineering best practices, knowledge graphs, semantic search, and document parsing pipelines will be beneficial. Experience deploying models in production, monitoring system performance, and contributing to open-source AI/ML projects are considered advantageous for this role.,

MediaMint is looking for a strategic and visionary Functional Lead for Delivery Excellence & Process Transformation. In this role, you will be responsible for modernizing legacy operations, eliminating client escalations, and driving data-led transformation initiatives across the global delivery ecosystem. You will play a key role in redesigning operational workflows, implementing automation and AI, and establishing performance governance frameworks for over 2500 delivery resources across Ad Operations, SEO, Programmatic, and Campaign Management service lines. The ideal candidate will possess expertise in process excellence, digital marketing operations, AI-led transformation, and cross-functional change leadership. Reporting directly to the SVP Operations/CDO, you will collaborate closely with technology, client services, and delivery leaders. Key Responsibilities: 1. End-to-End Process Transformation: - Utilize Lean Six Sigma methodologies to re-engineer client-facing workflows and aim for a 30%+ reduction in non-value-added activities. - Standardize SOPs, quality control measures, and compliance frameworks across 15+ digital marketing functions. 2. Data-Driven Performance Governance: - Develop real-time dashboards to monitor operational KPIs by service line, client, and geography. - Enhance data infrastructure to ensure 100% transaction-level accuracy in client-facing reporting. 3. Automation & AI Integration: - Identify and implement automation solutions using Python scripts, RPA tools, and open-source AI frameworks to automate at least 20% of manual workflows. - Pilot generative AI applications in campaign QA, anomaly detection, SOP generation, and insights summarization. 4. Business Excellence Framework: - Define and implement KPIs for workflow efficiency, error rates, SLA compliance, and client satisfaction. - Conduct monthly operational reviews to identify performance gaps and prevent client escalations. 5. Team Leadership & Capability Building: - Lead and mentor a team of 57 Business Analysts in executing audits, root cause analysis, and process optimization. - Train 250+ operational leads on lean methodologies, data-driven operations, and client maturity frameworks. - Drive cultural adoption of continuous improvement through engagement with operations leadership. Core Competencies: - Technical Mastery: Lean Six Sigma Black Belt, SQL, Power BI, Google Ads, RPA tools. - Leadership & Strategic Impact: Change agent, understanding of client maturity models, bridging Operations, Technology, and Client Services. - Execution Rigor: Advanced analytics capability, scalable mindset for global deployment. Qualifications: - Education: MBA or Masters in Operations, Business Analytics, or Data Science. - Experience: 10+ years in Business Excellence, Process Transformation, or Operational Strategy with 5+ years in third-party delivery environments. - Domain Exposure: Preferred background in Media, Retail, or Digital Marketing client operations. Certifications: - Lean Six Sigma Black Belt / Master Black Belt. - PMP / Agile Scrum. - Certification in Generative AI or Automation Frameworks (preferred). Why Join MediaMint - Own the Transformation: Shape the operational foundation of a global DMaaS organization. - Tech-Driven Impact: Lead innovation through AI, automation, and process re-engineering. - Leadership Visibility: Engage directly with the C-suite and global clients in Retail, Media, and Entertainment sectors.,

We are looking for a skilled and motivated Data Scientist with a strong background in backend development and AI/ML engineering. The ideal candidate should have experience in constructing, deploying, and expanding machine learning solutions using Python and modern ML frameworks. Responsibilities: - Develop and implement machine learning models, including advanced architectures like Large Language Models (LLMs). - Collaborate with various teams to create scalable AI-driven solutions using sound software engineering principles. - Utilize Python and object-oriented programming to build efficient, maintainable, and production-grade ML pipelines. - Work with popular ML frameworks such as TensorFlow, PyTorch, and Scikit-learn for model development and testing. - Integrate AI/ML models into applications via RESTful APIs while ensuring performance, scalability, and reliability. - Use tools like Hugging Face, LangChain, and OpenAI APIs for NLP and generative AI model development. - Manage containerized services using Docker for seamless deployment and reproducibility of ML solutions. - Follow best practices in version control (Git) and software development lifecycles to support collaborative and agile workflows. - Develop and maintain relational databases (e.g., MySQL, PostgreSQL, Oracle) to support data-driven applications. - Contribute to microservices-based architectures for AI/ML systems. - Apply agent communication protocols and multi-agent system design in relevant AI applications. - Analyze large datasets, extract actionable insights, and continuously improve models. Required Skills and Qualifications: - Minimum 4 years of experience in data science, machine learning, or backend development. - Proficiency in Python and solid foundations in object-oriented programming. - Hands-on experience with the entire machine learning model lifecycle, from training to production deployment and monitoring. - Understanding of scalable system design and microservices architecture. - Strong problem-solving skills, attention to detail, and knowledge of data structures and algorithms. - Excellent communication and collaboration abilities, with a knack for working in a dynamic team setting. Preferred Qualifications: - Expertise in Generative AI, particularly with Large Language Models (LLMs) like GPT and LLaMA. - Proficiency in prompt engineering, fine-tuning LLMs, and evaluating AI model performance. - Familiarity with AI system architecture, including orchestration frameworks and agent-based designs. - Experience with advanced AI tools, platforms, and APIs for scalable systems. - Strong communication skills and proven track record of effective collaboration in cross-disciplinary teams. - Knowledge of ethical AI principles, including model interpretability, fairness, responsible AI deployment, and ongoing monitoring.,

As a Senior Developer/ Lead in Data Science at Material+, you will be responsible for leading the development and implementation of Generative AI models such as Azure OpenAI GPT and multi-agent system architecture. Your role will require a strong background in Python and AI/ML libraries like TensorFlow, PyTorch, and Scikit-learn. Experience with frameworks like LangChain, AutoGen, or similar for multi-agent systems will be essential, along with expertise in data preprocessing, feature engineering, and model evaluation techniques. It is preferred that you have a minimum of 4+ years of experience in a similar role as a Senior Developer/ Lead in Data Science. The ideal candidate should be well-versed in Big Data tools such as Spark, Hadoop, Databricks, and databases like SQL and NoSQL. Familiarity with ReactJS for developing responsive and interactive user interfaces would be a bonus. Material+ is looking for an immediate joiner located in Gurgaon or Bangalore. In addition to a challenging work environment, we offer professional development opportunities, mentorship, and a hybrid work mode with a remote-friendly workplace. We are committed to the well-being of our employees and provide benefits such as health and family insurance, ample leave days including maternity and paternity leaves, as well as wellness, meditation, and counseling sessions. Join us at Material+ where you can contribute to cutting-edge projects in Data Science while enjoying a supportive and inclusive work culture.,

We are seeking a dedicated Data Scientist with a strong background in Natural Language Processing (NLP) and expertise in Large Language Models (LLMs). As a part of our team, you will play a crucial role in the development, optimization, and implementation of open-source and API-based LLMs to address real-world challenges. Your primary responsibilities will revolve around constructing resilient GenAI pipelines, innovative internal tools, and customer-centric applications. This position offers you a remarkable chance to be at the forefront of Artificial Intelligence advancements and make significant contributions to the evolution of intelligent systems through the utilization of Retrieval-Augmented Generation (RAG) frameworks, vector databases, and real-time inference APIs. Your responsibilities will include fine-tuning and enhancing open-source LLMs tailored to specific business sectors, building and managing RAG pipelines utilizing tools like LangChain, FAISS, and ChromaDB, creating LLM-powered APIs for applications like chatbots, Q&A systems, summarization, and classification, as well as designing effective prompt templates and implementing chaining strategies to augment LLM performance across diverse contexts. To excel in this role, you must possess a deep understanding of NLP principles and advanced deep learning techniques for text data, hands-on experience with LLM frameworks like Hugging Face Transformers or OpenAI APIs, familiarity with tools such as LangChain, FAISS, and ChromaDB, proficiency in developing REST APIs for machine learning models, proficiency in Python along with expertise in libraries such as PyTorch or TensorFlow, and a solid grasp of data structures, embedding techniques, and vector search systems. Desirable qualifications include prior experience in LLM fine-tuning and evaluation, exposure to cloud-based ML deployment on platforms like AWS, GCP, or Azure, and a background in information retrieval, question answering, or semantic search. If you are passionate about generative AI and eager to work with cutting-edge NLP and LLM technologies, we are excited to connect with you.,

YASH Technologies is looking to hire AI/ML Professionals, specifically for the role of Data Scientist with 24 years of experience on a full-time basis. As a Data Scientist at YASH, you will be part of a dynamic team, leveraging your advanced analytical and technical expertise to solve complex business problems and drive impactful data-driven decisions. Your responsibilities will include building and deploying ML models for classification, regression, and clustering tasks, applying foundational GenAI concepts, utilizing APIs and tools like LangChain and vector databases, as well as preparing documentation and interpreting results. The ideal candidate should possess strong hands-on experience in Python, Scikit-learn, and Pandas, along with knowledge of model evaluation, feature engineering, and model tuning. Exposure to LangChain, vector databases, and basic knowledge of FastAPI or Flask will be beneficial for this role. At YASH Technologies, you will have the opportunity to create a career path that aligns with your aspirations while working in an inclusive team environment. The company focuses on continuous learning, unlearning, and relearning through career-oriented skilling models and technology-driven solutions. The workplace at YASH is grounded on principles of flexible work arrangements, emotional positivity, trust, transparency, open collaboration, support for business goals, stable employment, and an ethical corporate culture.,

As a Lead Backend Engineer at Team Geek Solutions, you will be a key member of our innovative team dedicated to leveraging cutting-edge technology to solve real-world problems. With a focus on scalable backend systems and next-gen AI, you will lead a group of developers and data scientists in creating impactful products that push the boundaries of AI capabilities. If you are passionate about leading with purpose and driving innovation, we invite you to join us on this exciting journey. Your primary responsibilities will include leading and mentoring a team of backend and AI engineers, designing and implementing robust backend solutions using Java and Python, and utilizing state-of-the-art techniques such as Large Language Models (LLMs) and Transformer models. By leveraging tools like PyTorch, LangChain, and Flask, you will develop end-to-end ML pipelines, from training to deployment, while collaborating with cross-functional teams to deliver AI-powered solutions that address specific use cases. To excel in this role, you must possess strong proficiency in Java and Python, along with a solid understanding of Data Structures & Algorithms. Experience with Transformer-based models, LLM fine-tuning, and deployment is essential, as well as familiarity with SQL and database management. Additionally, leadership skills and the ability to manage engineering teams effectively are key requirements for this position. Preferred skills include knowledge of LLMOps tools and cloud platforms (AWS/GCP/Azure) for model deployment, as well as excellent written and verbal communication abilities. A passion for innovation and a commitment to building AI-first products will set you apart as a valuable contributor to our team. Stay informed about the latest advancements in AI and integrate best practices into your work to drive continuous improvement and growth in our organization.,

We are looking for a highly motivated and enthusiastic Senior Data Scientist with 5-8 years of experience to join our dynamic team. The ideal candidate should have a strong background in AI/ML analytics and a passion for utilizing data to drive business insights and innovation. Your main responsibilities will include developing and implementing machine learning models and algorithms, collaborating with project stakeholders to understand requirements and deliverables, analyzing and interpreting complex data sets using statistical and machine learning techniques, staying updated with the latest advancements in AI/ML technologies, and supporting various AI/ML initiatives by working with cross-functional teams. To qualify for this role, you should have a Bachelor's degree in Computer Science, Data Science, or a related field, along with a strong understanding of machine learning, deep learning, and Generative AI concepts. Preferred skills for this position include experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, and Deep Learning stack using Python. Additionally, expertise in cloud infrastructure for AI/ML on AWS (Sagemaker, Quicksight, Athena, Glue), building secure data ingestion pipelines for unstructured data, proficiency in Python, TypeScript, NodeJS, ReactJS, data visualization tools, deep learning frameworks, version control systems, and Generative AI/LLM based development is desired. Good to have skills include knowledge and experience in building knowledge graphs in production and an understanding of multi-agent systems and their applications in complex problem-solving scenarios. Pentair is an Equal Opportunity Employer, valuing cross-cultural insight and competence for ongoing success, with a belief that a diverse workforce enhances perspectives and ideas for continuous improvement.,

You are a seasoned Staff Data Scientist with over 8 years of experience in Data Science/ML, specializing in Generative AI, Large Language Models (LLMs), and deep learning. Your role at PhysicsWallah involves leading and driving innovation in Generative AI, LLMs, Retrieval-Augmented Generation (RAG), Reinforcement Learning, and model fine-tuning. You will collaborate closely with cross-functional teams to create next-gen AI solutions that enhance content generation, adaptive learning, and personalized experiences for millions of learners. As a Staff Data Scientist at PhysicsWallah, your key responsibilities include designing and developing advanced AI/ML solutions using LLMs, RAG, and RL techniques, fine-tuning and customizing models for PW-specific education scenarios, building scalable pipelines for training and deployment of GenAI models, integrating models into real-world applications, conducting experiments and testing to enhance model performance, staying updated on GenAI trends to influence internal strategies, and mentoring junior data scientists while promoting best practices within the AI team. You should possess expertise in Retrieval-Augmented Generation (RAG) architectures, transforming transformer-based models like BERT, GPT, LLaMA, and Mistral, hands-on experience in Reinforcement Learning with a focus on RLHF or similar approaches, proficiency in Python and ML frameworks such as PyTorch, TensorFlow, HuggingFace, LangChain, and Ray, strong knowledge of cloud platforms like AWS/GCP and MLOps for scalable AI model deployment, a track record of deploying ML models in production environments, excellent communication skills, and the ability to work in cross-functional environments. Preferred qualifications for this role include published papers, patents, or contributions to open-source GenAI projects, experience in edtech or adaptive learning platforms, and exposure to vector databases like FAISS, Pinecone, and Weaviate, as well as semantic search systems. Join PhysicsWallah and be part of a mission-driven organization that aims to make quality education accessible to all. You will have the opportunity to work on cutting-edge GenAI challenges with significant real-world impact in a collaborative and fast-paced environment that offers immense learning opportunities. Shape the future of education with GenAI at PhysicsWallah by applying now.,

The company you will be joining, TechGlobal, is a renowned global leader in strategy, technology consulting, and digital services, operating in over 100 countries. TechGlobal is dedicated to assisting businesses in embracing cutting-edge solutions for their digital transformation, aiming to make them digital-first and digital-ready. With a workforce of over 600,000 employees globally, including 200,000 in India, the company has a strong presence in the country with development centers in more than 10 locations across Tier 1 and Tier 2 cities. TechGlobal is known for its people-centric and employee-friendly policies, offering hybrid work options and flexible location choices due to its extensive Pan India presence. Your role at TechGlobal will involve developing applications and systems that leverage AI tools and Cloud AI services, ensuring the creation of cloud or on-prem application pipelines with production-ready quality. You will be expected to integrate GenAI models into the solutions, exploring areas such as deep learning, neural networks, chatbots, and image processing. Key Responsibilities: - Lead research and development in agentic architectures, autonomous agents, human-agent collaboration, and model/agent drift detection. - Design and prototype autonomous agents for practical applications like enterprise automation, digital assistants, and healthcare autonomous agents. - Collaborate with solutioning, delivery, and engineering teams to incorporate agentic capabilities into scalable systems for various industries. - Work with the Responsible AI team to embed policies in the solutions, collaborate with consulting teams to provide technical expertise in AI, and engage with academia and industry partners for advancing research boundaries. - Share innovative research findings in top AI forums and conferences. - Develop a strong AI talent pool and promote a culture of continuous learning within the organization, while mentoring a team of researchers and engineers. - Provide consulting and solutioning support for complex client issues by leveraging niche AI skills and utilizing advanced frameworks and accelerators. Skills Required: - A Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics, or Statistics from prestigious institutions like IITs, IISc, IIIT, or ISI. - A total of 12-20 years of experience with at least 5 years of relevant experience post-PhD. - Profound expertise in reinforcement learning, autonomous agents, and multi-agent systems. - In-depth understanding of LLMs and their application in agentic workflows. - Hands-on experience with frameworks such as LangChain, AutoGPT, or similar tools. - Demonstrated history of innovation and publications. Qualifications & Experience: - A Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics, or Statistics from esteemed institutions like IITs, IISc, IIIT, or ISI. - 12 to 20 years of overall experience in relevant fields.,

You will be responsible for building curated enterprise-grade solutions for GenAI application deployment at a production scale for clients. This role demands a solid understanding and hands-on skills in GenAI application deployment, encompassing development and engineering skills. You will need to possess expertise in data ingestion, selecting the appropriate LLMs, implementing simple and advanced RAG, guardrails, prompt engineering for optimization, traceability, security, LLM evaluation, observability, and deployment at scale on cloud or on-premise. It is essential for candidates to demonstrate knowledge of agentic AI frameworks due to the rapid evolution of this space. Strong background in ML with engineering skills is highly preferred for the LLMOps role. You should have 3 - 5 years of experience working on ML projects, involving business requirement gathering, model development, training, deployment at scale, and monitoring model performance for production use cases. Proficiency in Python, NLP, Data Engineering, Langchain, Langtrace, Langfuse, RAGAS, AgentOps (optional) is crucial. Experience with proprietary and open-source large language models, LLM fine-tuning, creating distilled models from hosted LLMs, and building data pipelines for model training is required. You should also have experience in model performance tuning, RAG, guardrails, prompt engineering, evaluation, and observability. Prior experience in GenAI application deployment on cloud and on-premises at scale for production, creating CI/CD pipelines, working with Kubernetes, and deploying AI services on at least one cloud platform such as AWS, GCP, or Azure is necessary. Proficiency in creating workable prototypes using Agentic AI frameworks like CrewAI, Taskweaver, AutoGen, and light-weight UI development using streamlit or chainlit (optional) is beneficial. Desired experience with open-source tools for ML development, deployment, observability, and integration is an added advantage. A background in DevOps and MLOps will be a plus. You should be familiar with collaborative code versioning tools like GitHub/GitLab and possess excellent communication and presentation skills. A degree in Computer Science, related technical field, or equivalent is required. If you are someone who thrives in a dynamic environment and enjoys collaborating with enthusiastic individuals, this opportunity is perfect for you.,

As a Full Stack-Backend Engineer at an AI startup based in Abu Dhabi, you will be an integral part of a fast-scaling company with a strong revenue stream, developer traction, and global growth. Your primary responsibility will be to contribute to the development of the next-generation agent by building scalable APIs and services for agent-based applications. You will have the opportunity to lead engineering efforts in the region from Day One. Your key responsibilities will include developing RAG pipelines using LangChain or custom tools, working with distributed systems and databases, and optionally contributing to UI development with React. You will be expected to own features end-to-end and collaborate effectively with global teams. To excel in this role, you should possess strong Python skills or a similar backend language, with an experience range of 6-8 years. Experience with distributed systems, APIs, and databases is essential, along with familiarity with LLMs, RAG, and agent frameworks. Frontend experience with React is a bonus, but not mandatory. An independent and ownership-driven mindset will be crucial for success in this position. The tech environment you will be working in includes Backend technologies such as Python and FastAPI, infrastructure tools like AWS, Docker, and Kubernetes, and AI Stack components like LangChain, Pinecone/Weaviate, OpenAI, and Anthropic. DevOps practices involve GitHub Actions and CI/CD pipelines, with a focus on developer tools, AI agents, and real-time search APIs. Joining this role will allow you to work with a well-funded startup that is making a real-world impact with over $3M+ ARR, 200K+ users, and 5M+ downloads. You will have the opportunity to build solutions across AI, search, and distributed infrastructure, lead development strategies within a global team, and be part of the thriving tech and innovation ecosystem in Abu Dhabi.,