We are seeking a highly skilled and motivated Python/FastAPI or Python/Django Developer to join our team. You will be responsible for building AI-native platforms, which are powered by agentic AI workflows and open-source LLMs. What we are looking for: an individual who is highly motivated, ambitious, strong in communication skills, and extremely good at learning new technologies and implementing them to solve problems. One big advantage of working with us is that you will learn the latest and greatest of AI / ML technologies in the process. You will gain hands-on skills in agentic AI, LLMs, prompting, vector search, knowledge graphs, and more. Responsibilities Create scalable REST APIs using FastAPI, Django Rest Framework. Develop and maintain web applications from concept to deployment. Integrate Agentic frameworks, workflows, and LLM prompting and tool calling into the backend stack. Deploy, manage, and maintain the platforms on cloud platforms, build CI/CD pipelines, and monitoring systems. Leverage a methodical approach to vibe coding, using tools like Windsurf, Cursor to speed up your dev process. Rapidly pick up new AI architectures and technologies, test them out, and implement them if needed. Improve the scalability of our systems - using threads, workers, queues, and async processes. Methodically follow through on all tasks, update the Kanban board, and ensure a bug-free codebase. Requirements Bachelor's degree in Computer Science or Computer Engineering (mandatory) - with great grades. 1-2 years of experience as a Python Backend Developer (mandatory). Expert knowledge of the Python language in combination with FastAPI or Django (mandatory). Demonstrated experience with Linux systems is mandatory. You should be highly comfortable and familiar with Linux (mandatory). Experience working with databases (e. g., MySQL, MongoDB, PostgreSQL). Expertise with RESTful APIs and web services. Ability to understand emerging programming paradigms and write clean, commented, and easy-to-understand code. Driven, ambitious, motivated. Strong communication and collaboration skills. Experience with cloud services (e. g., AWS, Azure, Google Cloud Platform). Knowledge of DevOps practices and tools. Should have live projects and a GitHub profile. This job was posted by Arpita Lahiri from Superteams.ai. Show more Show less
At Superteams.ai, we harness the power of cutting-edge AI technologies and a global talent pool to supercharge enterprise projects and teams. Our mission is to create super teams that can tackle complex AI/ML challenges, innovate and build solutions, and educate developer communities along the way. We are seeking a highly skilled and motivated Python/FastAPI or Python/Django Developer to join our team. You will be responsible for building AI-native platforms , which are powered by agentic AI workflows and open-source LLMs . What we are looking for: an individual who is highly motivated , ambitious , strong in communication skills , and extremely good at learning new technologies and implementing them to solve problems. One big advantage of working with us is that you will learn the latest and greatest of AI / ML technologies in the process. You will gain hands-on skills in agentic AI, LLMs, prompting, vector search, knowledge graphs, and more. Responsibilities: Create scalable REST APIs using FastAPI, Django Rest Framework Develop and maintain web applications from concept to deployment. Integrate Agentic frameworks, workflows, and LLM prompting and tool calling into the backend stack. Deploy, manage, and maintain the platforms on cloud platforms, build CI/CD pipelines, and monitoring systems. Leverage a methodical approach to ‘vibe coding’ using tools like Windsurf, Cursor to speed up your dev process. Rapidly pick up new AI architectures and technologies, test them out, and implement them if needed. Improve the scalability of our systems - using threads, workers, queues, and async processes. Methodically follow through on all tasks, update the Kanban board, and ensure a bug-free codebase. Requirements: Bachelor's degree in Computer Science or Computer Engineering (mandatory) - with great grades. 1-2 years of experience as a Python Backend Developer (mandatory). Expert knowledge of the Python language in combination with FastAPI or Django (mandatory). Demonstrated experience with Linux systems is mandatory. You should be highly comfortable and familiar with Linux (mandatory). Experience working with databases (e.g., MySQL, MongoDB, PostgreSQL). Expertise with RESTful APIs and web services. Ability to understand emerging programming paradigms and write clean, commented, and easy-to-understand code. Driven, ambitious, motivated. Strong communication and collaboration skills. Experience with cloud services (e.g., AWS, Azure, Google Cloud Platform). Knowledge of DevOps practices and tools. Should have live projects and a GitHub profile. If you are passionate about building innovative AI applications and thrive in a fast-paced environment, we encourage you to apply for this exciting opportunity. Join our team and contribute to the development of cutting-edge solutions that make a real impact! Job Types: Full-time, Permanent Pay: ₹186,476.46 - ₹300,000.00 per year Work Location: In person
Superteams.ai helps businesses build agentic systems, deploy private LLMs, and power next-gen AI workflows. Our company blends AI expertise, cloud infrastructure, and open-source technologies to help clients build, scale, and maintain custom AI solutions across sectors like education, climate, and enterprise SaaS. Our work spans a wide spectrum of Generative AI applications - from LLMs and vision models to audio synthesis and predictive analytics. If you’re passionate about infrastructure that supports cutting-edge AI systems, you’ll thrive here. What You’ll Do As a MLOps Engineer , you will play a critical role in deploying, managing, and scaling infrastructure that powers AI systems. You’ll work closely with AI developers and product teams to automate deployment, monitor performance, and ensure uptime and reliability across various environments. Key Responsibilities Set up and manage cloud infrastructure (AWS, GCP, or Azure) for AI and data applications. Build and maintain CI/CD pipelines for deploying AI systems and services. Containerize applications using Docker and orchestrate using Kubernetes. Set up observability and monitoring tools such as ELK, Prometheus, Grafana, Loki, and Graylog. Manage logging, alerting, and performance tracking for uptime, latency, and failure detection. Automate infrastructure provisioning and updates using IaC tools and scripting. Collaborate with AI engineers to enable smooth deployments of LLMs and agentic systems. Assist in database performance optimization (SQL, NoSQL and Vector DBs). Must-Have Skills Very strong command of Linux/Ubuntu systems and shell scripting. You should be able to operate a remote server comfortably. Hands-on experience with at least one cloud platform: AWS, GCP, or Azure . Just being able to see the dashboard on AWS isn’t enough - you should know how to manage instances, track system health, handle firewalls, and audit logs. Proven expertise in CI/CD pipeline management . You should have worked with Jenkins, Ansible or any industrial-grade CI/CD platform. Solid understanding of Docker and Kubernetes . You should have managed containers, Docker swarms, or handled scalability challenges in production systems. Experience with monitoring, alerting , and log centralization tools like Elastic-Kibana, Prometheus, Grafana, Graylog or Loki. You should also be aware of Sentry and other monitoring systems. Experience managing uptime, load balancing , and failover systems . Understanding of snapshotting, firewalls, recovery, failover and zero-downtime is a must. Nice to Have Experience with vLLM for LLM serving and handling batching, queueing, retries and error handling with LLM requests. Working knowledge of Python for scripting and automation. You should be able to understand Python code, debug it to some extent and fix issues that may happen in production. Deep experience with SQL databases (e.g., PostgreSQL, MySQL). Interest in or exposure to AI infrastructure , model serving, and agentic system design. What You’ll Gain Exposure to the latest in Generative AI and agentic systems. Hands-on experience with AI devops challenges: model hosting, scaling inference, observability in multimodal systems, and more. Opportunity to contribute to open-source AI infrastructure tools. A fast-paced, collaborative environment where learning and innovation are at the core. If you're excited to build scalable infrastructure that enables cutting-edge AI, we’d love to hear from you. Job Type: Full-time Pay: ₹200,000.00 - ₹400,000.00 per year Work Location: In person
About Superteams.ai Superteams.ai helps businesses build agentic AI systems, deploy private LLMs, and power next-gen AI workflows. We offer custom AI solutions built on open-source technologies, backed by a lean team of experts in cloud, data, and product. Our clients include startups and innovation teams across sectors like retail, real estate, sustainability, and enterprise SaaS. Our go-to-market motion is consultative, founder-led, and content-driven, designed to engage builders and decision-makers. The company’s core team combines decades of experience in building AI solutions, and the company has raised funding from marquee investors. About the internship We’re looking for an MBA-graduate Business Development Intern to support our GTM efforts. You’ll work directly with the founding team to work on lead prospecting, build relationships with frontier companies, and experiment with outbound and inbound growth strategies. If you're curious about AI, startups, market research, and B2B sales and enjoy thinking critically about value, positioning, and partnerships, this role will give you hands-on experience in startup growth from day one. What You’ll Work On Lead Research & Prospecting: Identify and qualify high-potential AI-native startups, product teams, and innovation leaders using tools like LinkedIn, Apollo, or manual research. Outreach Campaigns: Help create and run outbound campaigns via email, LinkedIn, and other channels—testing copy, sequencing, and CTAs. CRM & Sales Ops: Support day-to-day pipeline management, lead tracking, and CRM hygiene (HubSpot or Notion-based). Sales Collateral: Assist in preparing decks, one-pagers, case studies, and demo briefs tailored to prospects. Market Research: Track trends in AI adoption, use cases, and competitors to surface new growth opportunities or product angles. Founder Collaboration: Join sales calls, shadow live demos, and help synthesize client needs into actionable insights for the AI and delivery teams. What We’re Looking For Recent MBA graduate or final year MBA , with excellent analytical reasoning, strong communication and natural relationship building skills. Strong interest in AI, B2B SaaS, and consultative selling . Excellent written and verbal communication skills Self-starter attitude with strong attention to detail and follow-through. Comfortable working in ambiguity and iterating fast with minimal supervision. Located or willing to locate to Kolkata Important Note to all Applicants Our system automatically flags up resumes and cover letters which are 100% AI generated. We auto-reject these resumes. So, we urge you to apply with a resume that you have created on your own. All AI-generated resumes and cover letters will be automatically flagged up and rejected. You should have the ability to write long-form content , without the help of AI. We will test this in the first round of our selection process. You should have excellent verbal communication skills in the English language. Our target customers are in the US, UK, EU and Australia, and you should have the ability to build relationships with them. Why Join Us Learn what it takes to grow an AI startup from the inside. Work closely with founders and AI leaders to understand how technical solutions are scoped, pitched, and delivered. Build hands-on skills in B2B lead generation, sales ops, and growth experimentation. Contribute to meaningful partnerships that shape how companies adopt and deploy AI. We are a remote-first company - so you get to work from where you want to work from. Job Type: Internship Contract length: 4 months Pay: ₹8,684.55 - ₹19,171.17 per month Work Location: In person
Superteams.ai helps businesses build agentic systems, deploy private LLMs, and power next-gen AI workflows. Our company blends AI expertise, cloud infrastructure, and open-source technologies to help clients build, scale, and maintain custom AI solutions across sectors like education, climate, and enterprise SaaS. Our work spans a wide spectrum of Generative AI applications - from LLMs and vision models to audio synthesis and predictive analytics. If you’re passionate about infrastructure that supports cutting-edge AI systems, you’ll thrive here. What You’ll Do As a MLOps Engineer , you will play a critical role in deploying, managing, and scaling infrastructure that powers AI systems. You’ll work closely with AI developers and product teams to automate deployment, monitor performance, and ensure uptime and reliability across various environments. Key Responsibilities Set up and manage cloud infrastructure (AWS, GCP, or Azure) for AI and data applications. Build and maintain CI/CD pipelines for deploying AI systems and services. Containerize applications using Docker and orchestrate using Kubernetes. Set up observability and monitoring tools such as ELK, Prometheus, Grafana, Loki, and Graylog. Manage logging, alerting, and performance tracking for uptime, latency, and failure detection. Automate infrastructure provisioning and updates using IaC tools and scripting. Collaborate with AI engineers to enable smooth deployments of LLMs and agentic systems. Assist in database performance optimization (SQL, NoSQL and Vector DBs). Must-Have Skills Very strong command of Linux/Ubuntu systems and shell scripting. You should be able to operate a remote server comfortably. Hands-on experience with at least one cloud platform: AWS, GCP, or Azure . Just being able to see the dashboard on AWS isn’t enough - you should know how to manage instances, track system health, handle firewalls, and audit logs. Proven expertise in CI/CD pipeline management . You should have worked with Jenkins, Ansible or any industrial-grade CI/CD platform. Solid understanding of Docker and Kubernetes . You should have managed containers, Docker swarms, or handled scalability challenges in production systems. Experience with monitoring, alerting , and log centralization tools like Elastic-Kibana, Prometheus, Grafana, Graylog or Loki. You should also be aware of Sentry and other monitoring systems. Experience managing uptime, load balancing , and failover systems . Understanding of snapshotting, firewalls, recovery, failover and zero-downtime is a must. Nice to Have Experience with vLLM for LLM serving and handling batching, queueing, retries and error handling with LLM requests. Working knowledge of Python for scripting and automation. You should be able to understand Python code, debug it to some extent and fix issues that may happen in production. Deep experience with SQL databases (e.g., PostgreSQL, MySQL). Interest in or exposure to AI infrastructure , model serving, and agentic system design. What You’ll Gain Exposure to the latest in Generative AI and agentic systems. Hands-on experience with AI devops challenges: model hosting, scaling inference, observability in multimodal systems, and more. Opportunity to contribute to open-source AI infrastructure tools. A fast-paced, collaborative environment where learning and innovation are at the core. If you're excited to build scalable infrastructure that enables cutting-edge AI, we’d love to hear from you.