4010 Openai Jobs - Page 22

We're building a smart AI-powered email experience tailored for startup founders, professionals, and agencies streamlining communication, reducing clutter, and supercharging productivity. Think of it as your intelligent inbox assistant. We’ve already: Built an MVP using Firebase & Gemini AI Solved pain points like follow-ups, smart categorization, and campaign automation Onboarded early waitlist users Now, we're looking for a vision-aligned tech partner to take this to the next level. 🛠 Role: As the Tech Co-founder / Founding CTO , you will: Own the product architecture and technical vision Build and scale the MVP to a full-fledged SaaS product Work hands-on with Firebase, Gemini API, AI tools & integrations Hire and lead the early tech team Collaborate on product roadmap, feature prioritization, and customer feedback ✅ Requirements: 2–5 years of experience in full-stack development (React, Firebase, Node.js, etc.) Strong understanding of building scalable SaaS products Familiarity with AI APIs (Gemini, OpenAI, etc.) is a bonus Passion for solving real user problems and working in fast-paced 0 to 1 environments Ready to join on equity basis only (initially) 🎯 What You’ll Get: Co-founder equity (competitive and transparent) Ownership of core product & tech roadmap Opportunity to shape an impactful company from day one Backing for pre-seed funding from top Indian and global VCs Let’s build something extraordinary together. Apply via DM or email: rishi,bagla@lavabiz.in

Role: AI Lead Engineer. Location: OMR Perungudi. We are looking for a Senior AI Product Engineer to join our innovation-driven engineering team. In this role, you will help conceptualize, design, and build AI-powered products that solve real-world business problems. This is not a traditional AI research or modeling role — it’s a hands-on, product-building position focused on rapid experimentation, fast MVPs, and production-grade delivery. You’ll bring a strong product mindset, deep curiosity, and the ability to move fast with evolving AI technologies. We’re seeking individuals who are comfortable navigating ambiguity , translating product ideas into working solutions, and delivering in short iterative cycles. What You'll Do Translate product ideas and technical needs into working POCs, MVPs, and production-ready features Design and implement scalable AI-powered applications using modern toolchains and frameworks Combine different AI services, libraries, and APIs to create new end-user experiences Optimize for speed, functionality, and usability across every product milestone Collaborate cross-functionally with designers, product managers, and other engineers to drive rapid development Ship early and often — with POCs delivered in days, MVPs in a week, and fully production-ready AI-powered products in a matter of weeks What We're Looking For 4+ years in AI application development or software engineering Demonstrated ability to deliver real-world AI solutions (POCs to production) Experience working with AI frameworks, APIs, or pretrained models Strong grasp of system design, architectural thinking , and practical integration Comfortable working with modern development environments and iterative delivery cycles Ability to compose solutions using available tools, frameworks, and services rather than building from scratch Tools & Ecosystem Familiarity While this role emphasizes product thinking and fast delivery, familiarity with modern AI tools will help you succeed. You should be comfortable working with or exploring tools such as: AI Service APIs – OpenAI, Claude, Cohere, Hugging Face, Together.ai Frameworks & Libraries – LangChain, LlamaIndex, Haystack, transformers, chromadb, Faiss Model Hubs & Repositories – Hugging Face Hub, Replicate, Ollama, LM Studio Development Environments – Cursor, GitHub Copilot, Windsurf Orchestration & Integration – REST APIs, prompt pipelines, chaining tools We value engineers who can compose fast, functional AI solutions with a strong bias toward reuse and integration over reinvention. Bonus If You Have Experience building AI-first products or internal AI-powered tools Exposure to LLMs, RAG pipelines , or vector database-based applications GitHub portfolio or examples of real product builds Experience deploying lightweight AI systems to production environments Why This Role Matters The future of AI belongs to builders who move fast , reuse smart , and think in prompts — not boilerplate . This role places you exactly where the industry is heading — at the intersection of speed, tools, and intelligent composition. If you're ready to move with that future, we’re ready for you.

Job Title: Gen AI + Agentic AI Developer Experience: 4 to 8 Years Location: Remote Client: Persistent Systems Job Overview: We are hiring experienced and passionate professionals with strong expertise in Generative AI and Agentic AI frameworks. As a Gen AI + Agentic AI Developer, you will be responsible for designing, developing, and deploying intelligent, autonomous agent-based solutions using cutting-edge technologies. You’ll work closely with cross-functional teams to build scalable AI systems powered by modern LLMs and deployed on cloud infrastructure. Key Responsibilities: Design, develop, and deploy Agentic AI solutions using frameworks such as Microsoft Autogen , CrewAI , or Lang Graph . Build robust pipelines and workflows for LLM-based agent orchestration . Integrate third-party APIs, tools, and services to enhance autonomous agent behaviors. Deploy and manage solutions on AWS infrastructure (Lambda, S3, EC2, SageMaker, etc.). Collaborate with Machine Learning Engineers , Data Scientists , and Product Teams to deliver and scale intelligent solutions. Optimize AI agents for performance , efficiency , and robustness . Conduct thorough code reviews , enforce best coding practices, and contribute to architectural decisions. Required Skills & Qualifications: Strong Python development skills with a focus on modular, clean, and maintainable code. Hands-on experience with AWS services : S3, EC2, Lambda, API Gateway, SageMaker. Practical knowledge and implementation experience with at least one Agentic AI framework: Microsoft Autogen CrewAI LangGraph Familiarity with Large Language Models (LLMs) such as OpenAI, Claude, or Mistral. Experience in building multi-agent workflows and managing agent state transitions . Solid understanding of asynchronous programming in Python. Exposure to FastAPI or Flask for API/service deployment. Preferred (Good to Have): Experience with LangChain , RAG architectures , or vector databases . Familiarity with CI/CD pipelines (e.g., GitHub Actions). Experience with Docker and Kubernetes for containerization and orchestration. Understanding of Reinforcement Learning or agent-based simulations .

Company Description Fornax is a data-driven solutions company dedicated to helping clients optimize, automate, and analyze their data. Our mission is to transform raw data into valuable insights for faster, more accurate decision-making. We specialize in data strategy consulting, data analytics, data engineering, and robust data infrastructure. With a focus on scalable and customized solutions, we empower businesses of all sizes to unlock their data's true potential. Key Responsibilities : AI System Architecture & Development ( 40% ) : Design and implement intelligent automation systems and agentic AI architectures using advanced orchestration patterns Develop specialized AI systems for specific business functions (content generation, customer service, marketing optimization, analytics) Build communication frameworks with event-driven messaging and shared context management for agentic workflows Implement coordination logic for complex, multi-step business processes with autonomous decision-making Create robust error handling, fallback mechanisms, and escalation protocols for agentic systems Optimize system performance for cost efficiency and response time LLM Integration & Optimisation ( 30 % ) : Integrate multiple LLM providers (OpenAI, Anthropic, open-source models) with intelligent routing Design and maintain prompt engineering frameworks with dynamic template systems Implement model selection logic based on task complexity, cost, and performance requirements Build fine-tuning pipelines for domain-specific model optimization Create evaluation frameworks for AI system performance and output quality Manage token usage optimization and cost monitoring across all systems Infrastructure & DevOps ( 10%) : Deploy and maintain AI systems in cloud environments (AWS) Implement monitoring, logging, and alerting for system operations Design auto-scaling infrastructure for variable AI workloads Manage deployment pipelines and version control for system updates Ensure system security, data privacy, and compliance requirements Optimize infrastructure costs and resource utilization Key Qualifications Education : Bachelor's degree in Computer Science, AI/ML, Software Engineering, or related field. Experience : 1+ years of experience in AI/ML engineering, with 1+ years specifically in LLM systems, agentic AI systems, or intelligent automation frameworks.

Internship Overview: We are looking for a passionate and hands-on intern who is eager to explore the intersection of AI, full-stack development, and system integration. You'll contribute across the front end, back end, and middleware layers, helping us build and enhance our AI-based platform. Key Responsibilities: Assist in the development and optimization of front-end components using frameworks like React.js, Vue.js, or Angular. Support backend development using Node.js, Python (Flask/Django), or similar technologies. Participate in designing and integrating RESTful APIs and middleware services. Collaborate on database design and implementation (MongoDB, PostgreSQL, etc.). Work closely with the AI/ML team to integrate AI services and APIs into the platform. Write clean, modular, and reusable code with proper documentation. Participate in code reviews, stand-up meetings, and sprint planning. Conduct basic testing and debugging of developed features. Requirements: Pursuing a Bachelor’s/Master’s degree in Computer Science, IT, or related field. Strong understanding of HTML, CSS, JavaScript, and responsive web design. Hands-on experience or academic projects involving React.js, Node.js, Express, or similar frameworks. Familiarity with REST APIs, middleware integration, and cloud-based tools (AWS, Firebase, etc.). Basic understanding of databases (SQL or NoSQL). Curiosity and willingness to learn about AI systems and platform integration. Good communication skills and the ability to work in a fast-paced startup environment. Preferred Qualifications (Nice to Have): Experience with version control systems (Git/GitHub). Exposure to containerization tools (Docker) and CI/CD workflows. Understanding of authentication mechanisms (OAuth2, JWT). Basic exposure to AI/ML frameworks or APIs (OpenAI, HuggingFace, etc.) What We Offer: Opportunity to work on impactful projects in the AI space. Mentorship and guidance from experienced tech leads and founders. Exposure to real-world product development lifecycle. Flexible working hours and a collaborative culture. Certificate of Internship and Letter of Recommendation upon completion. Potential Pre-Placement Offer (PPO) based on performance. Job Type: Internship Contract length: 6 months Pay: From ₹10,000.00 per month Benefits: Paid time off Location Type: In-person Schedule: Day shift Education: Bachelor's (Preferred) Location: Chandigarh, Chandigarh (Required) Work Location: In person Expected Start Date: 19/08/2025

Redefine the future of customer experiences. One conversation at a time. We’re changing the game with a first-of-its-kind, conversation-centric platform that unifies team collaboration and customer experience in one place. Powered by AI, built by amazing humans. Our culture is forward-thinking, customer-obsessed and built on an unwavering belief that connection fuels business and life; connections to our customers with our signature Amazing Service®, our products and services, and most importantly, each other. Since 2008, 100,000+ companies and 1M+ users rely on Nextiva for customer and team communication. If you’re ready to collaborate and create with amazing people, let your personality shine and be on the frontlines of helping businesses deliver amazing experiences, you’re in the right place. Build Amazing - Deliver Amazing - Live Amazing - Be Amazing Nextiva, a leader in business communications, is seeking a skilled AI Technical Lead to join our AI Agents team within our Data & Intelligence Platform group. In this role, you will develop intelligent, multimodal AI agents (voice and chatbots) as part of Nextiva’s next-generation customer experience platform. You will apply expertise in machine learning and software engineering to build AI-driven features that transform how businesses engage with customers. This position offers the opportunity to work at the forefront of generative AI and multimodal interactions, creating scalable AI solutions that blend automation with the human touch to deliver exceptional customer experiences. The Technical Lead is a senior individual contributor who combines deep technical expertise with hands-on execution. They actively write code, take ownership of end-to-end feature delivery, and are involved in architectural and design discussions. They also conduct code reviews, mentor engineers, and collaborate closely with cross-functional teams to deliver scalable, high-quality solutions aligned with the product vision and goals. As a key technical leader within the team, this role offers a strong pathway for professional growth, whether deepening expertise as a highly skilled individual contributor or evolving into engineering management. Key Responsibilities Design & Develop AI Agents: Design, implement, and refine AI agents for Nextiva’s products that understand and respond to customers in multiple formats (e.g., spoken voice, written text). Develop conversational logic and multimodal interaction flows leveraging state-of-the-art natural language processing (NLP) and speech recognition techniques. AI Model Integration: Integrate large language models and other AI/ML components into the Agentic AI Platform to enable capabilities such as question answering, task automation, sentiment analysis, and recommendations. Ensure that AI models and solutions perform effectively in real-world environments and at scale. Full Lifecycle Engineering: Own the end-to-end development lifecycle of AI features. Multimodal Interaction Systems: Build and integrate components for multimodal interactions, including speech-to-text, text-to-speech, and dialog management systems. Performance Optimization: Optimize AI algorithms and agent frameworks for performance, scalability, and reliability. Use data-driven methods to tune model accuracy and response times. Quality, Ethics & Compliance: Implement robust testing (unit, integration, end-to-end) for AI features to ensure reliability and correctness. Incorporate ethical AI practices, ensuring AI agent behavior is unbiased and compliant with privacy and security regulations. Documentation & Mentorship: Document AI agent designs, algorithms, and usage guidelines for future reference. Provide technical guidance and mentorship to junior engineers or new team members as needed. Success in this role will be measured by your ability to deliver AI features that measurably improve customer experiences (e.g., higher self-service resolution rates, faster response times, improved user satisfaction) while maintaining high software quality and ethical AI standards. You will help Nextiva achieve a balanced integration of AI and human interaction, directly contributing to our CX-first vision. Qualifications Education: Bachelor’s degree in computer science, Software Engineering, or a related field (required). A Master’s degree in AI, Machine Learning, or a related discipline is strongly preferred. Equivalent practical experience in AI/ML development will also be considered. Software Engineering Experience: 8+ years of professional software development experience, including at least 5+ years building AI or machine-learning powered applications. Proven experience developing production-grade software (e.g., backend services, APIs, data pipelines) in a collaborative team environment. AI/ML Expertise: Strong understanding of AI and machine learning fundamentals with hands-on experience in natural language processing (NLP) and/or deep learning. Familiarity with the latest AI advancements (e.g., transformer-based models, conversational AI frameworks) and a history of applying AI models to solve real-world problems. Technical Skills: Proficiency in programming languages commonly used for AI development, such as Python (with ML libraries like TensorFlow or PyTorch) and/or a general-purpose language like Java or C# for scalable systems. Experience with machine learning frameworks and libraries for NLP, speech, or computer vision (e.g., Hugging Face Transformers, OpenAI APIs, spaCy, Kaldi, AWS/GCP/Azure AI services) is expected. Multimodal Interaction Knowledge: Experience with speech and language technologies – for example, integrating speech-to-text (ASR) and text-to-speech (TTS) engines, or building chatbots and voice bots for conversational interfaces. Cloud & Scalability: Familiarity with cloud platforms and deploying AI/ML models at scale (AWS, Google Cloud, or Azure). Experience with microservices architecture and containerization (Docker, Kubernetes) for AI services. Collaboration & Communication: Excellent teamwork and communication skills. Nextiva DNA (Core Competencies) Nextiva’s most successful team members share common traits and behaviors: Drives Results: Action-oriented with a passion for solving problems. They bring clarity and simplicity to ambiguous situations, challenge the status quo, and ask what can be done differently. They lead and drive change, celebrating success to build more success. Critical Thinker: Understands the "why" and identifies key drivers, learning from the past. They are fact-based and data-driven, forward-thinking, and see problems a few steps ahead. They provide options, recommendations, and actions, understanding risks and dependencies. Right Attitude: They are team-oriented, collaborative, competitive, and hate losing. They are resilient, able to bounce back from setbacks, zoom in and out, and get in the trenches to help solve important problems. They cultivate a culture of service, learning, support, and respect, caring for customers and teams. Total Rewards Our Total Rewards offerings are designed to allow our employees to take care of themselves and their families so they can be their best, in and out of the office. Our compensation packages are tailored to each role and candidate's qualifications. We consider a wide range of factors, including skills, experience, training, and certifications, when determining compensation. We aim to offer competitive salaries or wages that reflect the value you bring to our team. Depending on the position, compensation may include base salary and/or hourly wages, incentives, or bonuses. Medical 🩺 - Medical insurance coverage is available for employees, their spouse, and up to two dependent children with a limit of 500,000 INR, as well as their parents or in-laws for up to 300,000 INR. This comprehensive coverage ensures that essential healthcare needs are met for the entire family unit, providing peace of mind and security in times of medical necessity. Group Term & Group Personal Accident Insurance 💼 - Provides insurance coverage against the risk of death / injury during the policy period sustained due to an accident caused by violent, visible & external means. Coverage Type - Employee Only Sum Insured - 3 times of annual CTC with minimum cap of INR 10,00,000 Free Cover Limit - 1.5 Crore Work-Life Balance ⚖️ - 15 days of Privilege leaves per calendar year, 6 days of Paid Sick leave per calendar year, 6 days of Casual leave per calendar year. Paid 26 weeks of Maternity leaves, 1 week of Paternity leave, a day off on your Birthday, and paid holidays Financial Security💰 - Provident Fund & Gratuity Wellness 🤸‍ - Employee Assistance Program and comprehensive wellness initiatives Growth 🌱 - Access to ongoing learning and development opportunities and career advancement At Nextiva, we're committed to supporting our employees' health, well-being, and professional growth. Join us and build a rewarding career! Established in 2008 and headquartered in Scottsdale, Arizona, Nextiva secured $200M from Goldman Sachs in late 2021, valuing the company at $2.7B.To check out what’s going on at Nextiva, check us out on Instagram, Instagram (MX), YouTube, LinkedIn, and the Nextiva blog.

Job Title: Senior Backend & DevOps Engineer (AI-Integrated Products) Location: Remote Employment Type: Full Time/Freelance/Part Time Work Hours: Flexibile Work Timing About Us: We’re building AI-powered products that seamlessly integrate technology into everyday routines. We're now looking for a Senior Backend & DevOps Engineer who can help us scale Mobile Apps globally and architect the backend for it, while owning infrastructure, performance, and AI integrations. Responsibilities: Backend Engineering: Own and scale the backend architecture (Node.js/Express or similar) for Mobile Apps Build robust, well-documented, and performant APIs Implement user management, session handling, usage tracking, and analytics Integrate 3rd-party services including OpenAI, Whisper, and other LLMs Optimize app-server communication and caching for global scale DevOps & Infrastructure: Maintain and scale AWS/GCP infrastructure (EC2, RDS, S3, CloudFront/CDN, etc) Set up CI/CD pipelines (GitHub Actions preferred) for smooth deployment Monitor performance, set up alerts, and handle autoscaling across regions Manage cost-effective global infra scaling and ensure low-latency access Handle security (IAM, secrets management, HTTPS, CORS policies, etc) AI & Model Integration: Integrate LLMs like GPT-4, Mistral, Mixtral, and open-source models Support fine-tuning, inference pipelines, and embeddings Build offline inference support and manage transcription workflows (Whisper, etc) Set up and optimize vector DBs like Qdrant, Weaviate, Pinecone Requirements: 4+ years of backend experience with Node.js, Python, or Go 2+ years of DevOps experience with AWS/GCP/Azure, Docker, and CI/CD Experience deploying and managing AI/ML pipelines, especially LLMs and Whisper Familiarity with vector databases, embeddings, and offline inference Strong understanding of performance optimization, scalability, and observability Clear communication skills and a proactive mindset Bonus Skills: Experience working on mobile-first apps (React Native backend knowledge is a plus) Familiarity with Firebase, Vercel, Railway, or similar platforms Knowledge of data privacy, GDPR, and offline sync strategies Past work on productivity, journaling, or health/fitness apps Experience self-hosting LLMs or optimizing AI pipelines on edge/cloud Please share(Optional): A brief intro about you and your experience Links to your GitHub/portfolio or relevant projects Resume or LinkedIn profile Any AI/infra-heavy work you’re particularly proud of Contact : subham@binaryvlue.com

Full-Stack Developer (AI Projects) – Remote Company: AJAZ Solutions (Recruiting on behalf of a client) Location: Remote Type: Full-Time / Contract Experience Level: Minimum FOUR YEARS of AI-Centric Experience About the Role AJAZ Solutions is hiring on behalf of a fast-growing AI app development agency. Our client builds cutting-edge AI-powered applications and is looking for a skilled Full-Stack Developer who can work independently and contribute to high-impact projects. This is a remote opportunity to work with a modern tech stack, collaborate with a forward-thinking team, and build real-world AI-integrated products. Key Responsibilities Develop and maintain full-stack applications using React/Next.js and Supabase Build clean, modern, and functional UIs using TailwindCSS and shadcn/ui Integrate AI APIs (e.g., OpenAI, Claude, Hugging Face) into web applications Implement dynamic form builders and file upload interfaces Write and optimize SQL queries for backend data manipulation Deploy applications using Vercel Collaborate via GitHub and follow modern development workflows Work independently and manage your own development pipeline Tech Stack Frontend: React / Next.js, TailwindCSS, shadcn/ui (optional: daisyUI) Backend & Infra: Supabase (auth, vector DB, storage, APIs), SQL Deployment: Vercel Dev Tools: Git, GitHub, pnpm, Node.js AI Integration Experience (Required) Calling OpenAI’s /chat/completions API with documents (PDFs, images) Familiarity with Groq, Claude, Gemini, Hugging Face Understanding of prompt engineering and token optimization What We’re Looking For 3+ years of experience in full-stack development Strong proficiency in React/Next.js and modern frontend practices Experience with Supabase or similar BaaS platforms Familiarity with AI APIs and integration workflows Ability to work independently and deliver high-quality code Strong problem-solving and communication skills Nice to Have Experience with component libraries like shadcn/ui or daisyUI Prior work in AI or SaaS product development Contributions to open-source or personal AI projects Please also, include your GitHub Profile OR 1-3 of your best project(s)' links. Job Type: Full-time Pay: ₹800,000.00 - ₹1,200,000.00 per year Benefits: Paid time off Permanent Work from home Schedule: Day shift Monday to Friday

About Us: We are the largest AI community in the world with more than 14 million members. Our platform is dedicated to teaching and inspiring individuals about Generative AI, Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), and AI Agents. Our mission is to empower learners globally with cutting-edge knowledge and practical insights into AI. Role Overview: We're seeking a passionate and knowledgeable Senior AI Engineer or Senior Data Scientist to join our team. You'll play a critical role in generating high-quality educational content, developing innovative courses, and evangelizing advanced AI concepts to a global audience. Responsibilities: Develop compelling, educational content and courses focused on Generative AI, LLMs, Agentic AI, RAG, and AI agents. Stay abreast of the latest AI research, reading and closely following cutting-edge papers and emerging trends. Experiment with, evaluate, and master various AI platforms and tools, demonstrating agility and adaptability. Actively contribute to open-source projects and maintain familiarity with leading AI frameworks and libraries. Evangelize complex AI concepts through webinars, articles, workshops, and public speaking engagements. Collaborate closely with internal teams and external experts to ensure content accuracy, clarity, and relevance. Qualifications: Relevant degree ( Master’s preferred ) in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or a related technical field. Extensive knowledge and hands-on experience with Generative AI, LLMs (e.g., GPT-4, Claude, DeepSeek), Agentic AI frameworks, Retrieval-Augmented Generation (RAG), and AI Agents. Strong familiarity with leading open-source tools, platforms, and frameworks (e.g., Hugging Face, LangChain, AutoGPT, OpenAI APIs, PyTorch, TensorFlow). Demonstrated ability to quickly learn and adapt to new AI technologies and platforms. Exceptional communication skills, with experience in teaching, content creation, or public speaking. Active follower of AI industry news, trends, research papers, and thought leadership. Preferred Skills: Prior experience creating online educational content or courses. Contributions to open-source AI projects. A strong professional presence in the AI community (blogs, social media, GitHub). Passion for AI education and evangelism. Why Join Us: Be part of a visionary team shaping global understanding of transformative AI technologies. Opportunity to engage with a passionate community of learners and AI experts. Competitive compensation, flexible remote working environment, and professional growth opportunities. Join us in empowering the world with AI knowledge!

Cohesity is the leader in AI-powered data security. Over 13,600 enterprise customers, including over 85 of the Fortune 100 and nearly 70% of the Global 500, rely on Cohesity to strengthen their resilience while providing Gen AI insights into their vast amounts of data. Formed from the combination of Cohesity with Veritas’ enterprise data protection business, the company’s solutions secure and protect data on-premises, in the cloud, and at the edge. Backed by NVIDIA, IBM, HPE, Cisco, AWS, Google Cloud, and others, Cohesity is headquartered in Santa Clara, CA, with offices around the globe. We’ve been named a Leader by multiple analyst firms and have been globally recognized for Innovation, Product Strength, and Simplicity in Design , and our culture. Want to join the leader in AI-powered data security? Join a team shaping the future of global-ready infrastructure software—blending deep system engineering with advanced localization, automation, and AI. We partner across products, QA, content, and engineering to deliver technically robust, culturally accurate solutions at scale. From global cloud releases to region-specific UX validation, we lead in globalization (G11n), localization (L10n), and intelligent automation. If you're driven to scale quality globally through modern engineering, this is your team. We’re seeking a Senior SDET with deep expertise in Storage, Networking, Virtualization, and Cloud—plus hands-on experience in Python automation, AI/ML, and Localization Engineering. In this strategic role, you’ll lead efforts to embed robust globalization (G11n) and localization (L10n) into enterprise-scale infrastructure products. You'll architect solutions, drive engineering best practices, and ensure international readiness across cloud-native systems. An ideal fit for those who excel at the intersection of deep tech, intelligent automation, and global user experience. How You’ll Spend Your Time Here Lead the technical design and automation of globalized and localized systems for Storage, Backup, Virtualization, and Cloud platforms. Partner with cross-functional teams including Product, QA, DevOps, and Localization teams to integrate internationalization (i18n) and localization early into the software development lifecycle. Drive implementation of Python-based test automation for localization validation, AI-driven content verification, and workflow optimization. Provide technical leadership for integrating AI/ML models into localization quality workflows, including content extraction, translation validation, and context-based language improvements. Guide teams in implementing virtualized test environments for simulating geo-localized behaviors across regions and languages. Drive strategy and execution for global release-readiness of infrastructure products, ensuring alignment with market-specific requirements. Collaborate with Localization QA teams (LQA, GLQA) to build automated pipelines for end-to-end localization testing in client/vendor environments. Mentor junior engineers and act as a technical escalation point for localization automation and cloud-based testing infrastructure. Continuously monitor performance of localization systems, optimize test coverage, and provide insight through data analytics and reporting. Evaluate and integrate emerging technologies and AI-based localization platforms (LLMs, machine translation, etc.) into engineering pipelines. WE’D LOVE TO TALK TO YOU IF YOU HAVE MANY OF THE FOLLOWING Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical field. 8–15+ years of experience in systems-level engineering with a focus on Storage, Networking, Virtualization, or Cloud technologies. Strong programming expertise in Python, with a background in test automation and scripting for infrastructure systems. Hands-on experience with AI/ML frameworks (e.g., spaCy, OpenAI, Transformers) and their application in localization workflows. Solid understanding of G11n, L10n, i18n principles, and industry-standard localization workflows. Experience with CI/CD pipelines, cloud infrastructure (AWS, Azure, or GCP), and virtualization platforms (VMware, KVM, Hyper-V). Familiarity with tools such as Robot Framework, Selenium, Postman, REST Assured, Docker, Kubernetes, Terraform, or Ansible. Proven ability to lead cross-functional technical initiatives, drive architectural discussions, and influence product globalization strategies. Strong communication and collaboration skills, with ability to work across global teams and stakeholders. Knowledge of or interest in multilingual content, voice interfaces, and localized UX testing is a plus. Fluency in English; knowledge of another foreign language (Japanese, French, Chinese) is an added advantage. Collaborate cross-functionally, leadership & mentorship experience, drives go/no-go decisions based on quality of the release, anticipate risks and come up with mitigation plans. Data Privacy Notice For Job Candidates For information on personal data processing, please see our Privacy Policy . Equal Employment Opportunity Employer (EEOE) Cohesity is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status or any other category protected by law. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact us at 1-855-9COHESITY or talent@cohesity.com for assistance. In-Office Expectations Cohesity employees who are within a reasonable commute (e.g. within a forty-five (45) minute average travel time) work out of our core offices 2-3 days a week of their choosing.

Foyr AI Hackathon – Build the Future of Agentic Design Intelligence Ready to build the future of AI-native software? At Foyr AI, we’re crafting a new era of intelligent tools — where AI agents don’t just assist, they collaborate, create, and take action. This isn't just about building prompts or playing with APIs. This is your chance to help build the next generation of intelligent, agent-powered software — tools that think, collaborate, and assist users in real-time. Win the challenge, land a paid internship, and if you kill it — walk into a full-time role on our core AI team. About Foyr AI At Foyr, we’re reimagining software from the ground up — moving away from menus and mouse clicks toward AI-native tools that blend reasoning, language, and real-time interaction. We’ve already launched Foyr Ideate, a generative AI product that creates stunning interior design concepts from simple prompts. Now, we’re building something even more ambitious — agent-first SaaS products that work like co-designers. Imagine Telling An AI “Show me three minimalist layouts using natural wood and hidden lighting — but leave the wall art area blank, I’ll pick that myself.” And watching it respond, build, and adjust in real time — while inviting your creative tweaks. This is the future we’re building. And we want you to be part of it. What You’ll Build You’ll build a traditional application with a UI that can also be controlled by an AI agent through voice, chat, or prompt-based instructions — using MCP (Multi-Channel Protocol). Your app should be usable through direct interaction (clicks, UI actions) and through intelligent agent commands. You’ll be evaluated on how well your agent understands, maps instructions to UI actions, responds intelligently, and integrates with the core app logic. The Problem Statement Create any traditional application that can be used via a user interface or controlled by an AI agent through MCP (Model context protocol) Your task is to build a basic but functional app with a UI — and enable it to be driven by an AI agent via prompts, voice, or chat. The same action should be possible either by the user manually using the UI or by instructing the agent. This shows how classic tools can become agent-friendly, AI-native experiences. Here Are a Few Example Applications You Can Build A shape drawing canvas with standard tools (rectangle, circle, line, move, delete) — but also controllable via agent instructions like “Draw three circles of radius 20 in a row” A to-do list manager where you can add, complete, or sort tasks via UI or say “Mark all today’s tasks as done” to the agent A layout grid tool where you can add/move blocks manually, or say “Add a 2-column layout with 3 text boxes and 1 image” The focus is on showing how a traditional, standalone app can be extended to support agentic interactions — making it more accessible and intelligent without removing manual control. Use any tech stack you’re comfortable with. Voice input/output is optional; a simple text interface with the agent is also fine. Internship Offer Winner: ₹TBD + Internship opportunity at Foyr AI Crack the challenge and score a paid internship with direct mentorship from Foyr’s AI team — ace that, and you could lock in a full-time spot. Work directly on building our next-gen AI design co-pilot What We’re Evaluating This challenge is designed to test your real-world AI engineering skills across the following areas: Skill Area What We Expect Python + FastAPI REST endpoints or backend agent logic or agent interface API Prompt Engineering Clean, composable prompt chains with contextual memory LLM Integration Use of OpenAI, Anthropic, or similar (OpenAI Agents SDK a plus) Agent Design Can your agent understand instructions, map them to UI actions, and adapt to user intent? UI + Agent Parity Same action possible via manual UI and agent control — seamless dual-mode interface Voice / Chat I/O Support for speech input/output or natural language chat VectorDB / MongoDB Optional memory/history tracking AI Pair Programming Optional — use of tools like Cursor, KiloCode for auto-complete, suggestions, etc. Submission Guidelines Submit The Following Live demo (hosted on Replit, Render, Vercel, etc. — or share setup instructions) GitHub Repo 2–3 min walkthrough video (explain flow, architecture, LLM logic) README that explains: Prompt flow and logic How voice input/output is handled Tech stack and tools used Optional: diagram of agent reasoning or skill modules Known issues or improvements Timeline Hackathon duration: 1 Month Submission deadline: 28 August 2025 How to Apply Step 1: Apply Step 2: Build your voice agent prototype Step 3: Submit your solution with the demo hosted link + code + doc + demo video Tech Stack Guidelines Backend: Python, FastAPI, MongoDB, Weaviate/Pinecone/FAISS LLM Tools: OpenAI Agents SDK, LangChain/LangGraph (optional) Voice Tools: OpenAI Whisper, Web Speech API, ElevenLabs, Azure Speech, etc. UI Application: React, HTML5 Canvas, Vue, or any frontend framework to build the traditional interface Agent Integration: REST APIs or WebSocket endpoints to connect agent commands to app actions Infra (Optional): Vercel, Replit, HuggingFace Spaces, Docker Why Join? You’ll work with a team that’s rethinking human-computer interaction from the ground up — not as tools, but as creative, collaborative agents. If you’re excited by real AI reasoning, generative UIs, and building agent-first products — we’d love to work with you. Note: This is a unpaid internship.Skills: ui/ux development,fastapi,prompt engineering,rest apis,python,instructions,voice/chat interaction,app,vectordb,mongodb,agent design,building,llm integration

Job Title-Backend Engineer (AI/ML) Exp-2-4 Years Location- Hyderabad Responsibilities What We're Looking For (The Essentials) • Strong Backend Foundation: 1-3 years of professional experience in backend software development, building and deploying backend systems professionally. • Python & FastAPI Expertise: Strong knowledge of Python and significant experience with FastAPI. • Architectural Mindset: A solid grasp of both Low-Level Design (LLD) and High- Level Design (HLD) principles. You can think systematically about trade-offs, scalability, and maintainability. • API Craftsmanship: Ability to design, build, and maintain clean, efficient, and well- documented APIs. You'll Really Catch Our Eye If You Have: • Experience with AI/LLMs: You've built products or applications that integrate with LLMs (e.g., using APIs from OpenAI, Anthropic, or open-source models from Hugging Face). • Model Finetuning Experience: You have hands-on experience finetuning pre-trained models to improve their performance on specific tasks. • Familiarity with the AI Ecosystem: You're comfortable with concepts or tools like vector databases (e.g., Pinecone, Chroma), retrieval-augmented generation (RAG), or frameworks like LangChain. General Expectations for All Engineers • Full-Stack Awareness: While you'll specialize in backend, you should be good enough to dive into the frontend to build few things & fix bugs when needed. • Curious and Experimental: You enjoy figuring things out, tinkering, and experimenting until you get it right. • Collaborative Communicator: You have great communication skills and thrive in a collaborative, team-oriented environment. • Proactive and Driven: You’re ready to dive in, take initiative, and make things happen. We're not looking for perfection, but for curiosity, motivation, and an excitement to learn. Why You Should Join Us • Impact: Be one of the first engineers and have a massive impact on the product and company culture. • Growth: Work on challenging problems at the intersection of traditional backend engineering and applied AI. • Great Team: Join a team of smart, ambitious, and friendly people who are passionate about what they do.

Role Overview: We are looking for a Senior Data Scientist with a strong foundation in machine learning, data analysis, and a growing expertise in LLMs and Gen AI. The ideal candidate will be passionate about uncovering insights from data, proposing impactful use cases, and building intelligent solutions that drive business value. Key Responsibilities: Analyze structured and unstructured data to identify trends, patterns, and opportunities. Propose and validate AI/ML use cases based on business data and stakeholder needs. Build, evaluate, and deploy machine learning models for classification, regression, clustering, etc. Work with LLMs and GenAI tools to prototype and integrate intelligent solutions (e.g., chatbots, summarization, content generation). Collaborate with data engineers, product managers, and business teams to deliver end-to-end solutions. Ensure data quality, model interpretability, and ethical AI practices. Document experiments, share findings, and contribute to knowledge sharing within the team Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related field. 3–4 years of hands-on experience in data science and machine learning. Proficient in Python and ML libraries Experience with data wrangling, feature engineering, and model evaluation. Exposure to LLMs and GenAI tools (e.g., Hugging Face, LangChain, OpenAI APIs). Familiarity with cloud platforms (AWS, GCP, or Azure) and version control (Git). Strong communication and storytelling skills with a data-driven mindset.

Job Description Some careers shine brighter than others. If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Consultant Specialist In this role you will be Design, develop, and maintain scalable backend services using Python and frameworks like Django, Flask, or Fast API Build responsive and interactive UIs using React.js, Vue.js, or Angular. Develop and consume RESTful APIs, and contribute to API contract definitions, including Gen AI/Open AI integration where applicable. Collaborate closely with UI/UX designers, product managers, and fellow engineers to translate business requirements into technical solutions. Ensure performance, security, and responsiveness of web applications across platforms and devices. Write clean, modular, and testable code following industry best practices and participate in code reviews. Architect, build, and maintain distributed systems and microservices, ensuring maintainability and scalability. Implement and manage CI/CD pipelines using tools such as Docker, Kubernetes (HELM), Jenkins, or Ansible. Use observability tools such as Grafana and Prometheus tools to monitor application performance and troubleshoot production issues. Proficient in RAG (Retrieval-Augmented Generation) techniques with hands-on experience in benchmarking models, selecting the most suitable model for specific use cases, and working with LLM (Large Language Model) agents. Requirements To be successful in this role, you should meet the following requirements: 5+ years of experience in full-stack development. Strong proficiency in Python, with hands-on experience using Django, Flask, or FastAPI. Solid front-end development skills in HTML5, CSS3, and JavaScript, with working knowledge of frameworks like React, Vue, or Angular. Proven experience designing and implementing RESTful APIs and integrating third-party APIs/services. Experience working with Kubernetes, Docker, Jenkins, and Ansible for containerization and deployment. Familiarity with both SQL and NoSQL databases, such as PostgreSQL, MySQL, or MongoDB. Comfortable with unit testing, debugging, and using logging tools for observability. Experience with monitoring tools such as Grafana and Prometheus utilities. Proven experience with OpenAI (GPT-4/GPT-3.5), Claude, Gemini, Mistral, or other commercial/open-source LLMs. Basic experience in data handling, including managing, processing, and integrating data within full-stack applications to ensure seamless backend and frontend functionality You’ll achieve more when you join HSBC. www.hsbc.com/careers HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. Issued by – HSDI

Job Title: AI Generalist Reports to: CEO Location: Coimbatore Employment Type: Full-time About Vallaham Vallaham is a multi-industry business group with ventures in digital marketing (Nool Media), travel (Luxvel), construction (Vayil), and food services (Saptingala). We embrace innovation and strive to be lean, fast-moving, and people-centric. Role Overview We are looking for an AI Generalist who is a proactive problem solver with a passion for experimentation and automation. In this role, you will work closely with leadership and operations teams across all our entities to identify repetitive or complex business challenges and implement AI-powered solutions. Key Responsibilities Collaborate with each business unit to understand operational pain points and improvement opportunities Prototype and deploy lightweight AI or automation solutions using tools such as ChatGPT, Claude, Make, Zapier, and Notion. Build and maintain prompt templates, chatbots, or AI assistants tailored to entity-specific use cases Train internal teams to use AI tools effectively and responsibly Analyze workflows and suggest process optimization through AI, APIs, or no-code tools Stay updated on emerging AI trends and tools, and assess their applicability to our business Track ROI and adoption of implemented solutions Key Qualities We’re Looking For Curious and creative thinker with strong initiative Capable of context-switching across different industries and workflows Hands-on mindset with a rapid prototyping approach Effective communicator with both technical and non-technical teams Preferred Qualifications Bachelor's degree in Engineering, Computer Science, Business, or related fields Experience with AI tools (OpenAI, Google Gemini, Claude, etc.) and no-code automation platforms Prior exposure to marketing, travel, construction, or F&B industries is a plus Comfort with data (e.g., spreadsheets, dashboards, integrations) Why Join Us? Opportunity to work across diverse industries and directly impact real business operations A culture that encourages experimentation, fast learning, and autonomy Exposure to leadership and strategic decision-making How to Apply: Please send your resume, portfolio (if applicable), and a brief cover letter explaining why you're a great fit for the role to hr@vallaham.com or 9585811433

Job Title:Senior AI/ML Engineer Experience: 8+ Years Location:Bangalore (On-site) Mandatory Skills: LLM & Prompt Engineering: Strong expertise in Prompt Engineering techniques and strategies In-depth understanding of how Large Language Models (LLMs) work, including control over hyperparameters such as temperature, top_p, etc. Experience in LLM fine-tuning , prompt optimization , and zero-/few-shot learning Agentic AI Frameworks: Hands-on experience with agent-based frameworks like: LangChain LangGraph Crew AI Retrieval-Augmented Generation (RAG): Implementation experience in RAG pipelines Experience in integrating vector databases with LLMs for contextual augmentation LLM Evaluation & Observability: Knowledge of techniques and tools for LLM performance evaluation Familiarity with LLM observability platforms and metrics monitoring Ability to define and track quality benchmarks like accuracy, coherence, hallucination rate, etc. Programming & Deployment: Strong programming skills in Python Experience deploying AI/ML models or LLM-based systems on at least one major cloud platform (AWS, GCP, or Azure) Preferred Skills (Nice to Have): Experience working with OpenAI, Anthropic, Cohere , or open-source LLMs (LLaMA, Mistral, Falcon, etc.) Knowledge of Docker , Kubernetes , MLflow , or other ML Ops tools Experience with embedding models , vector databases (like Pinecone, FAISS, Weaviate) Familiarity with transformer architecture and fine-tuning techniques Responsibilities: Design, build, and optimize LLM-powered applications Develop and maintain prompt strategies tailored to business use-cases Architect and implement agentic AI workflows using modern frameworks Build and monitor RAG pipelines for improved information retrieval Establish processes for evaluating and monitoring LLM behavior in production Collaborate with cross-functional teams including Product, Data, and DevOps Ensure scalable and secure deployment of models to production Soft Skills: Strong problem-solving and analytical thinking Excellent communication and documentation skills Passion for staying updated with advancements in GenAI and LLM ecosystems

About the Role We are seeking a hands-on AI/ML Engineer with deep expertise in Retrieval-Augmented Generation (RAG) agents , Small Language Model (SLM) fine-tuning , and custom dataset workflows . You'll work closely with our AI research and product teams to build production-grade models, deploy APIs, and enable next-gen AI-powered experiences. Key Responsibilities Design and build RAG-based solutions using vector databases and semantic search. Fine-tune open-source SLMs (e.g., Mistral, LLaMA, Phi, etc.) on custom datasets. Develop robust training and evaluation pipelines with reproducibility. Create and expose REST APIs for model inference using FastAPI . Build lightweight frontends or internal demos with Streamlit for rapid validation. Analyze model performance and iterate quickly on experiments. Document processes and contribute to knowledge-sharing within the team. Must-Have Skills 3–5 years of experience in applied ML/AI engineering roles. Expert in Python and common AI frameworks (Transformers, PyTorch/TensorFlow). Deep understanding of RAG architecture, vector stores (FAISS, Pinecone, Weaviate). Experience with fine-tuning transformer models and instruction-tuned SLMs. Proficient with FastAPI for backend API deployment and Streamlit for prototyping. Knowledge of tokenization, embeddings, training loops, and evaluation metrics. Nice to Have Familiarity with LangChain, Hugging Face ecosystem, and OpenAI APIs. Experience with Docker, GitHub Actions, and cloud model deployment (AWS/GCP/Azure). Exposure to experiment tracking tools like MLFlow, Weights & Biases. What We Offer Build core tech for next-gen AI products with real-world impact. Autonomy and ownership in shaping AI components from research to production. Competitive salary, flexible remote work policy, and a growth-driven environment.

The candidate should have experience in AI Development including experience in developing, deploying, and optimizing AI and Generative AI solutions. The ideal candidate will have a strong technical background, hands-on experience with modern AI tools and platforms, and a proven ability to build innovative applications that leverage advanced AI techniques. You will work collaboratively with cross-functional teams to deliver AI-driven products and services that meet business needs and delight end-users. Key Prerequisites  Experience in AI and Generative AI Development  Experience in Design, develop, and deploy AI models for various use cases, such as predictive analytics, recommendation systems, and natural language processing (NLP).  Experience in Building and fine-tuning Generative AI models for applications like chatbots, text summarization, content generation, and image synthesis.  Experience in implementation and optimization of large language models (LLMs) and transformer-based architectures (e.g., GPT, BERT).  Experience in ingestion and cleaning of data  Feature Engineering and Data Engineering  Experience in Design and implementation of data pipelines for ingesting, processing, and storing large datasets.  Experience in Model Training and Optimization  Exposure to deep learning models and fine-tuning pre-trained models using frameworks like TensorFlow, PyTorch, or Hugging Face.  Exposure to optimization of models for performance, scalability, and cost efficiency on cloud platforms (e.g., AWS SageMaker, Azure ML, Google Vertex AI).  Hands-on experience in monitoring and improving model performance through retraining and evaluation metrics like accuracy, precision, and recall. AI Tools and Platform Expertise  OpenAI, Hugging Face  MLOps tools  Generative AI-specific tools and libraries for innovative applications. Technical Skills 1. Strong programming skills in Python (preferred) or other languages like Java, R, or Julia. 2. Expertise in AI frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, and Hugging Face. 3. Proficiency in working with transformer-based models (e.g., GPT, BERT, T5, DALL-E). 4. Experience with cloud platforms (AWS, Azure, Google Cloud) and containerization tools (Docker, Kubernetes). 5. Solid understa

Bengaluru, Karnataka, India Sub Business Unit Engineer Job posted on Jul 28, 2025 Employee Type Permanent Experience range (Years) 2 years - 4 years Core Qualifications Experience: 2-4 years of professional experience in the full software development lifecycle. Python Proficiency: Solid, hands-on coding experience in Python. Computer Science Fundamentals: A deep and practical understanding of Data Structures, Algorithms, and Software Design Patterns. Version Control: Proficiency with Git or other distributed version control systems. Analytical Mindset: Excellent analytical, debugging, and problem-solving abilities. Java Knowledge: Basic understanding of Java concepts and syntax. Testing : Familiarity with testing tools and a commitment to Test-Driven Development (TDD) principles. Education: Bachelor's degree in Computer Science, Computer Engineering, or a related technical field. Good to have Generative AI : Experience with frameworks like LangChain, Google ADK/Autogen, or direct experience with APIs from OpenAI, Google (Gemini), or other LLM providers. Web Stacks : Strong knowledge of Python web frameworks like Flask or FastAPI, Celery etc. Data Engineering : Hands-on experience with NumPy, Pandas/Polars, data pipeline tools (e.g., Apache Spark, Kafka), and visualization. Databases : Proficiency with both SQL (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB, Elasticsearch, Redis) databases. DevOps & Cloud : Experience with AWS (including EC2, Lambda, EKS/ECS), Docker, and CI/CD best practices and pipelines (e.g., GitLab CI). Operating Systems : Good working knowledge of programming in a UNIX/Linux environment. FinTech Domain : Prior experience or interest in the financial technology sector is a plus. Reporting to Technical Lead

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Python (Programming Language) Good to have skills : Office 365, Sharepoint Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements. Advanced proficiency in Generative AI is required. Intermediate level of proficiency in LLMOps is recommended. OpenAI ChatGPT with Advanced proficiency and Responsible AI with Intermediate proficiency are suggested skills. Develop innovative AI solutions using Generative AI technology Implement Responsible AI practices in application development Collaborate with cross-functional teams to enhance OpenAI ChatGPT integration Optimize LLMOps processes for efficient application deployment. Having skills in Data Science, Data Analysis, Machine Learning, Cloud Technologies, data engineering, Java, Python etc. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Assist in the documentation of application specifications and user guides. - Collaborate with cross-functional teams to gather requirements and provide technical insights. Professional & Technical Skills: - Must To Have Skills: Proficiency in Python (Programming Language). - Strong understanding of application development frameworks and methodologies. - Experience with database management and SQL. - Familiarity with version control systems such as Git. - Knowledge of software testing and debugging techniques. Additional Information: - The candidate should have minimum 3 years of experience in Python (Programming Language). - This position is based at our Hyderabad office. - A 15 years full time education is required., 15 years full time education

EQL Global AB is seeking talented AI Engineers Intern to join our remote India-based team for a 6-month unpaid internship. This role is ideal if you have completed or are completing a Master’s in AI, and want hands-on experience with large language models, prompt engineering, and financial analytics. Outstanding interns may be offered a full-time remote position after the internship with industry competitive salary and compensation. What You’ll Do • Build solution by using LLM to extract structured data from company annual and quarterly reports • Test and fine-tune LLMs (Claude, OpenAI, Llama) for finance-related tasks • Develop retrieval-augmented generation (RAG) workflows and prompt strategies • Apply web scraping and support development of financial modeling tools Eligibility & Requirements • Master’s degree (completed or ongoing) in AI/Machine Learning/Data Science • Strong proficiency in Python and core ML libraries (PyTorch, TensorFlow, etc.) • Knowledge of Claude, OpenAI, and Llama models, and prompt engineering • Experience with web scraping (BeautifulSoup, Selenium, Scrapy) • Understanding of finance fundamentals and interest in analytics/automation Nice to Have • Familiarity with vector databases (FAISS, Pinecone, Weaviate) • Experience with Docker/Kubernetes or cloud platforms • Some knowledge of MLOps, agentic AI, or financial data APIs What We Offer • Real-world fintech AI projects and international team experience • Mentorship from experienced engineers and financial analysts • Pathway to a full-time AI Engineer role for top performers • Strong portfolio development in AI for finance Send your resume, cover letter (detailing your interest), and GitHub/portfolio to info@eqlglobal.com Use subject: “AI Engineer Intern”

Job Summary Are you passionate about using software development and automation to improve how things work? Would you like to be part of a team that is focused on simplifying processes and creating smart, automated solutions to support the development of life-changing biotech medicines? At Amgen, we are leveraging modern technologies—including cloud computing, machine learning/artificial intelligence (ML/AI), robotic process automation (RPA), and intelligent software tools—to support the creation of innovative drug therapies that help patients around the world. We are looking for a motivated Sr Ass Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Senior Associate Software Engineer What You Will Do Let’s do this. Let’s change the world. Roles and Responsibilities Partner with senior automation engineers to develop high profile and complex automation projects and ensure quality and timely delivery of projects by working closely with the cross functional team members (software development, business, IS, etc.) Contribute towards efforts to design, build, and develop rapid Proof-of-Concept (POC) automated solutions and services. Quickly and iteratively prove or disprove the concepts being considered. Work with process subject matter experts (SMEs) to understand key process requirements and transform them into digital automated solutions Be constantly curious and feed your passion and interests in groundbreaking technology. Use your given time to look for new, innovative and automated ways to do business differently, better, and more cost effectively. Collaborate with business partners to understand how automation can improve workflow and productivity Synthesize requirements from clients, customers or end-users to develop the best automation solutions. Work closely with other teams and Process Engineers to identify, stop, simplify business process waste to codify into automated solutions and platforms. 2-3 Experience with development and deployment of robotic process automation and other intelligent automation technology solutions such as UiPath and Automation Anywhere Experience with designing, developing, deploying, and operating automated solutions across SaaS, Cloud, On-prem and custom software developed platforms Experience in one or more programming/scripting languages, including but not limited to: Java, C, C++, Swift/Objective C, Python, Go, C#, or JavaScript Experience with translating business requirements to technical requirements and recommend solutions for automation Exposure to AI-powered automation, especially using platforms like OpenAI, for tasks such as document understanding, NLP, and intelligent decision-making. What We Expect Of You We are all different, yet we all use our unique contributions to serve patients. The [vital attribute] professional we seek is a [type of person] with these qualifications. Basic Qualifications: Master's degree / Bachelor's degree and 5 to 9 years What You Can Expect Of Us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. ociate Software Engineer to join our Process Simplification and Automation team. You’ll collaborate with other engineers to develop, test, and deploy automated solutions that streamline business processes and enhance productivity. This is a great opportunity for someone early in their career to grow their skills in software automation and contribute to impactful projects that support our mission in biotechnology. Job Responsibilities Partner with senior automation engineers to develop high profile and complex automation projects and ensure quality and timely delivery of projects by working closely with the cross functional team members (software development, business, IS, etc.) Contribute towards efforts to design, build, and develop rapid Proof-of-Concept (POC) automated solutions and services. Quickly and iteratively prove or disprove the concepts being considered. Work with process subject matter experts (SMEs) to understand key process requirements and transform them into digital automated solutions Be constantly curious and feed your passion and interests in groundbreaking technology. Use your given time to look for new, innovative and automated ways to do business differently, better, and more cost effectively. Collaborate with business partners to understand how automation can improve workflow and productivity Synthesize requirements from clients, customers or end-users to develop the best automation solutions. Work closely with other teams and Process Engineers to identify, stop, simplify business process waste to codify into automated solutions and platforms. Basic Qualifications Bachelor’s degree and 2 years of related experience OR Associate degree and 4 years of directly related experience OR High School/ GED and 6 years of directly related experience Preferred Qualifications 2-3 Experience with development and deployment of robotic process automation and other intelligent automation technology solutions such as UiPath and Automation Anywhere Experience with designing, developing, deploying, and operating automated solutions across SaaS, Cloud, On-prem and custom software developed platforms Experience in one or more programming/scripting languages, including but not limited to: Java, C, C++, Swift/Objective C, Python, Go, C#, or JavaScript Experience with translating business requirements to technical requirements and recommend solutions for automation Exposure to AI-powered automation, especially using platforms like OpenAI, for tasks such as document understanding, NLP, and intelligent decision-making. Nice to Have Skills Knowlege of or experience with agile methodology Willing and able to learn new technologies at a rapid pace Ability to quickly assimilate knowledge of new platforms, languages, tools and technologies Experience integrating automation solutions with enterprise systems like SAP, ServiceNow, or Salesforce. Understanding of natural language processing (NLP) and machine learning basics for building intelligent automation flows. Familiarity with low-code/no-code platforms and orchestration tools for rapid prototyping. Basic knowledge of data visualization tools (e.g., Power BI, Tableau) to monitor and report on automation outcomes. Experience working in regulated industries (e.g., biotechnology, healthcare, or pharmaceuticals) where compliance and validation are important.

Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Senior Associate Software Engineer What You Will Do Let’s do this. Let’s change the world. Roles and Responsibilities Partner with senior automation engineers to develop high profile and complex automation projects and ensure quality and timely delivery of projects by working closely with the multi-functional team members (software development, business, IS, etc.) Contribute towards efforts to design, build, and develop rapid Proof-of-Concept (POC) automated solutions and services. Quickly and iteratively prove or disprove the concepts being considered. Work with process subject matter experts (SMEs) to understand key process requirements and transform them into digital automated solutions Be constantly curious and feed your passion and interests in groundbreaking technology. Use your given time to look for new, innovative and automated ways to do business differently, better, and more cost effectively. Collaborate with business partners to understand how automation can improve workflow and productivity Synthesize requirements from clients, customers or end-users to develop the best automation solutions. Work closely with other teams and Process Engineers to identify, stop, simplify business process waste to codify into automated solutions and platforms. 2-3 Experience with development and deployment of robotic process automation and other committed automation technology solutions such as UiPath and Automation Anywhere Experience with designing, developing, deploying, and operating automated solutions across SaaS, Cloud, On-prem and custom software developed platforms Experience in one or more programming/scripting languages, including but not limited to: Java, C, C++, Swift/Objective C, Python, Go, C#, or JavaScript Experience with translating business requirements to technical requirements and recommend solutions for automation Exposure to AI-powered automation, especially using platforms like OpenAI, for tasks such as document understanding, NLP, and intelligent decision-making. What We Expect Of You We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master's degree / Bachelor's degree and 5 to 9 years Preferred Qualifications: 2-3 Experience with development and deployment of robotic process automation and other intelligent automation technology solutions such as UiPath and Automation Anywhere Experience with designing, developing, deploying, and operating automated solutions across SaaS, Cloud, On-prem and custom software developed platforms Experience in one or more programming/scripting languages, including but not limited to: Java, C, C++, Swift/Objective C, Python, Go, C#, or JavaScript Experience with translating business requirements to technical requirements and recommend solutions for automation Exposure to AI-powered automation, especially using platforms like OpenAI, for tasks such as document understanding, NLP, and resourceful decision-making. What You Can Expect Of Us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Associate Software Engineer What You Will Do Let’s do this. Let’s change the world. Roles and Responsibilities Support the development of automation solutions in collaboration with engineers and business stakeholders. Assist in building Proof-of-Concept (PoC) automation tools using RPA, Python, or low-code platforms. Help document and translate process requirements from subject matter experts into clear, automated workflows. Explore the use of AI technologies (e.g., OpenAI APIs) to support intelligent automation tasks like data extraction or document summarization. Participate in team meetings, agile sprint activities, and code reviews to grow your technical and business understanding. Contribute to identifying inefficiencies in existing processes and help implement automation-based improvements. Remain curious and eager to learn new technologies and practices in automation, AI, and digital innovation. What We Expect Of You We are all different, yet we all use our unique contributions to serve patients. The [vital attribute] professional we seek is a [type of person] with these qualifications. Basic Qualifications: Bachelor’s degree and 2 to 6 years Preferred Qualifications: 1–3 years of experience working on automation-related projects (academic or professional) Exposure to RPA tools like UiPath, Automation Anywhere, or Power Automate Experience with at least one programming or scripting language, such as Python, JavaScript, or C# Understanding of how to translate business requirements into technical automation solutions Interest or experience using OpenAI APIs or other AI tools for tasks such as text analysis, classification, or intelligent forms Familiarity with building automation across cloud, SaaS, or on-premises environments What You Can Expect Of Us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Roles And Responsibilities Support the development of automation solutions in collaboration with engineers and business stakeholders. Assist in building Proof-of-Concept (PoC) automation tools using RPA, Python, or low-code platforms. Help document and translate process requirements from subject matter experts into clear, automated workflows. Explore the use of AI technologies (e.g., OpenAI APIs) to support intelligent automation tasks like data extraction or document summarization. Participate in team meetings, agile sprint activities, and code reviews to grow your technical and business understanding. Contribute to identifying inefficiencies in existing processes and help implement automation-based improvements. Remain curious and eager to learn new technologies and practices in automation, AI, and digital innovation. What We Expect Of You We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Bachelor’s degree and 2 to 6 years Preferred Qualifications: 1–3 years of experience working on automation-related projects (academic or professional) Exposure to RPA tools like UiPath, Automation Anywhere, or Power Automate Experience with at least one programming or scripting language, such as Python, JavaScript, or C# Understanding of how to translate business requirements into technical automation solutions Interest or experience using OpenAI APIs or other AI tools for tasks such as text analysis, classification, or intelligent forms Familiarity with building automation across cloud, SaaS, or on-premises environments What You Can Expect Of Us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.