About the Role We’re looking for a passionate AI Developer / Engineer with strong Python skills and hands-on experience building agentic frameworks or AI automation systems. You’ll be designing, developing, and deploying intelligent agents capable of reasoning, retrieving, and taking autonomous actions across diverse workflows. If you enjoy experimenting with cutting-edge AI architectures and turning ideas into scalable real-world systems, this role is for you. Key responsibilities Design, build, and optimise AI agents capable of task planning, tool use, and dynamic decision-making. Develop robust back-end pipelines using Python (FastAPI, LangChain, LangGraph, LiteLLM, etc.). Integrate with vector stores (e.g., FAISS, Pinecone, Bedrock Knowledge Base) for memory and retrieval. Deploy models and agents on AWS Cloud (ECS, Lambda, SageMaker, or Bedrock). Build observability into the AI stack using tools like Langfuse, HoneyHive, or custom logging. Collaborate with cross-functional teams (data, product, research) to integrate AI into production systems. Continuously research and experiment with the latest advancements in LLMs, reasoning agents, and multi-agent orchestration. Requirements (Flexible) 3–5 years of experience in AI / ML / Python development. Deep expertise in Python (async, API integration, data processing). Solid understanding of LLM architectures (OpenAI, Anthropic, Amazon Bedrock, etc.). Hands-on experience with agentic frameworks (LangGraph, LangChain, CrewAI, AutoGen, or custom agent systems). Familiarity with cloud infrastructure (AWS preferred). Strong debugging, system design, and optimisation skills. Ability to work independently in a remote, agile environment. Preferred (Nice to have) Experience building AI evaluation frameworks or observability dashboards. Knowledge of RAG pipelines, embeddings, and prompt engineering. Prior work with Docker, CI/CD, or API gateways for scalable AI deployment. Exposure to AI-driven automation or data engineering workflows. What we offer Competitive salary aligned with industry standards. 100% remote flexibility. Opportunity to work directly on next-generation AI frameworks. A fast-paced, innovation-driven environment where you’ll have real autonomy and impact. How to apply If you’re excited about building the next wave of intelligent systems, we’d love to hear from you! Apply directly on LinkedIn , or send your GitHub / portfolio to info@galaxiq.ai with the subject line: “AI Developer”
# We’re Hiring: DevOps Engineer – Remote, India At GalaxiQ , we’re building intelligent digital ecosystems, where autonomous AI agents , data orchestration and cloud-native automation converge to reshape how humans and machines collaborate. We’re looking for a DevOps Engineer who doesn’t just automate pipelines but architects the backbone of intelligent systems scalable, observable, and self-healing. If you love building infrastructure that supports AI agents , LLMs and multi-agent reasoning frameworks , this is your moment. About GalaxiQ GalaxiQ is at the forefront of agentic AI , developing a unified platform that connects data, intelligence and action. Our mission: make AI systems autonomous, auditable and accessible, powered by real-time reasoning, knowledge retrieval and adaptive decision-making. We operate at the cutting edge of: Agentic frameworks (LangGraph, CrewAI, AutoGen, LiteLLM) LLM infrastructure (Amazon Bedrock, SageMaker, OpenAI, Anthropic) AI observability & evaluation (Langfuse, HoneyHive) Cloud-native orchestration on AWS ECS, Lambda and Kubernetes You’ll help us turn these frameworks into scalable, production-grade systems. Your Role You’ll build and maintain the cloud infrastructure that powers our intelligent agent pipelines, ensuring every model, flow and inference runs securely and efficiently. Key Responsibilities: Architect and manage AWS infrastructure (ECS, EKS, Lambda, Bedrock, SageMaker, S3). Build automated CI/CD pipelines for model training and multi-agent deployments. Deploy and manage containers using Docker and Kubernetes. Implement Infrastructure as Code (Terraform/CloudFormation). Set up observability with Langfuse, HoneyHive, Prometheus and Grafana. Automate scaling, versioning and rollbacks for LLM micro-services. Collaborate with AI and backend teams to integrate agents, RAG and vector stores. Secure APIs, manage IAM and secrets and optimise cost and performance. What You Bring 3–6 years of experience as a DevOps / Cloud / Infrastructure Engineer. Deep understanding of AWS Cloud , containerisation and CI/CD pipelines. Proficiency in Python / Bash scripting for automation. Experience with Docker , Kubernetes , ECS , GitHub Actions or Jenkins. Familiarity with IaC tools (Terraform, AWS CDK, CloudFormation). Comfort working with remote, distributed engineering teams. Preferred (Agentic Edge) Experience deploying AI / ML pipelines (SageMaker, Bedrock, Hugging Face, etc.) Knowledge of agentic frameworks (LangGraph, AutoGen, CrewAI or custom orchestration layers). Familiarity with RAG systems , vector databases (FAISS, Pinecone, Bedrock Knowledge Base). Understanding of AI evaluation, prompt routing and inference scaling. Hands-on experience integrating observability and event tracing into AI systems. Curiosity about self-healing pipelines , AI-driven monitoring and autonomous DevOps. Why Join GalaxiQ Work on real agentic frameworks and deploy AI systems that think and act . 100% remote work with high ownership and creative freedom. Collaborate with top-tier AI engineers, data scientists and product innovators. Build systems that push the frontier of AI infrastructure, autonomy and observability. Competitive salary as per industry standards + performance-based growth. How to Apply If you’re passionate about automating the future of intelligence, send your résumé + GitHub / portfolio to info@galaxiq.ai with the subject line: DevOps Engineer Immediate joiners will be prioritised. Let’s build the backbone of autonomous intelligence — together. #Hiring #DevOps #AWS #AgenticAI #LangGraph #MLOps #CloudEngineering #AIInfrastructure #GalaxiQ #RemoteJobs #Automation #InfrastructureAsCode #Observability
# We’re Hiring: UI/UX Designer Location : Remote Salary : As per industry standards Join : Immediate joiners preferred About GalaxiQ At GalaxiQ, we’re building the future of intelligent digital ecosystems where AI agents, data and design come together to create human-centric, intelligent products. Our vision is simple yet bold which is to make make AI feel beautifully human, intuitive, responsive and purposeful. We’re looking for a UI/UX Designer who codes, a creative technologist who can turn complex AI workflows into elegant, immersive and functional user experiences. Your Role You’ll be at the intersection of design and technology, owning the visual language and interaction logic of our AI platforms. This isn’t just a design role, it’s a design + implementation journey where your ideas directly shape live products used by real people. You will: Conceptualise and design end-to-end user journeys from early sketches to interactive prototypes. Build responsive, production-ready interfaces using React.js, TailwindCSS, and modern component libraries. Translate AI concepts and data flows into visual clarity through dashboards, agent control panels and conversational UIs. Collaborate deeply with our AI engineers, product strategists and data teams to merge creativity with functionality. Define and maintain a design system that scales across multiple AI products. Experiment with micro-interactions, animations and adaptive UI patterns that make users feel the intelligence behind the interface. Participate in design reviews, collect user feedback and iterate rapidly to deliver best-in-class experiences. What You Bring 2–5 years of experience in UI/UX design for SaaS or tech products. Strong command of Figma, Adobe XD or equivalent tools. Working knowledge of React.js, TailwindCSS and modern front-end principles. Portfolio showcasing both visual design excellence and front-end execution. A deep sense of aesthetics, layout balance and usability thinking. Comfort working in an autonomous, remote environment with high ownership. Nice to Have Experience designing AI interfaces, dashboards or automation tools. Familiarity with Next.js, TypeScript or Framer Motion. Understanding of data visualization frameworks (Recharts, D3.js). Curiosity about human-AI interaction (HAI) and conversational design. Why Join GalaxiQ You’ll be designing next-gen AI products that redefine how users interact with intelligence. Work 100% remotely, collaborate with a passionate, high-performance global team. High creative ownership your designs won’t sit in Figma, they’ll go live. Fast-paced startup environment where design and innovation drive the product. How to Apply If design is your language and code is your brush, let’s build something extraordinary together. Send your portfolio + resume to info@galaxiq.ai with the subject line: UI/UX Designer
# We’re Hiring: MLOps Engineer Location : Remote Salary : As per industry standards Join : Immediate joiners preferred About GalaxiQ At GalaxiQ, we’re building the future of intelligent digital ecosystems where AI agents, data and design come together to create human-centric, intelligent products. Our vision is simple yet bold which is to make AI feel beautifully human, intuitive, responsive and purposeful. Your Role GalaxiQ builds AI-driven marketing automation, real-time analytics and creative content workflows. We’re looking for an ML Ops Engineer who can turn experimental models into reliable, scalable production systems. You will: Design and maintain end-to-end ML/LLM pipelines (training, evaluation, deployment). Build and operate model serving (APIs, workers, streaming consumers). Set up CI/CD for ML with proper testing, versioning and rollback. Own monitoring & observability (latency, drift, failures, business KPIs). Work with AI, data, and product teams to productionize notebooks into hardened services. Optimize cloud cost and performance across compute, storage, and models. What You Bring 3+ years in backend / DevOps / ML Ops. Strong Python (bonus: Node.js/TypeScript) and cloud (GCP/AWS/Azure). Hands-on with Docker and Kubernetes or Cloud Run. Experience with CI/CD (GitHub Actions, GitLab CI, etc.). Familiarity with data/ML tooling (Airflow/Prefect, MLflow/W&B, BigQuery or similar). Nice to Have Experience with LLM/AI APIs (OpenAI, Vertex, Bedrock) and vector DBs. What you get Competitive pay, 100% remote. Direct ownership of core AI infrastructure for a real product, not research toys. Small, fast team where your decisions actually change the system. Curiosity about human-AI interaction (HAI) and conversational design. Why Join GalaxiQ You’ll be designing next-gen AI products that redefine how users interact with intelligence. Work 100% remotely, collaborate with a passionate, high-performance global team. Fast-paced startup environment where design and innovation drive the product. How to Apply If design is your language and code is your brush, let’s build something extraordinary together. Send your portfolio + resume to info@galaxiq.ai with the subject line: “ML Ops Engineer – Application”