Founding Teams is a stealth AI Tech Incubator & Talent platform. We are supporting the next generation of AI startup founders with the resources they need including engineering, product, sales, marketing and operations staff to create and launch their product.

The ideal candidate will have a passion for next generation AI tech startups and working with great global startup talent.

About the Role:

We are looking for an experienced and highly motivated Lead Machine Learning Engineer to drive the development, deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machine learning team.

Responsibilities:

• Lead the end-to-end development of machine learning models, from prototyping to production deployment.
• Architect scalable ML pipelines and infrastructure.
• Work closely with data scientists to transition research models into robust production systems.
• Collaborate with engineering teams to integrate ML models into applications and services.
• Manage and mentor a team of machine learning and data engineers.
• Establish best practices for model development, evaluation, monitoring, and retraining.
• Design experiments, analyze results, and iterate rapidly to improve model performance.
• Stay current with the latest research and developments in machine learning and AI.
• Define and enforce ML model governance, versioning, and documentation standards.

Required Skills & Qualifications:

• Bachelor's or Master’s degree in Computer Science, Machine Learning, Data Science, Statistics, or a related field (PhD preferred but not required).
• 5+ years of professional experience in machine learning engineering.
• 2+ years of leadership or technical mentoring experience.
• Strong expertise in Python for machine learning (Pandas, NumPy, scikit-learn, etc.).
• Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX.
• Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning).
• Experience building and maintaining ML pipelines and data pipelines.
• Proficiency in model deployment techniques (e.g., serving models with REST APIs, gRPC, or via cloud services).
• Hands-on experience with cloud platforms (AWS, GCP, Azure) for model training and deployment.
• Deep understanding of MLOps concepts: monitoring, logging, CI/CD for ML, reproducibility.
• Experience with Docker and container orchestration (e.g., Kubernetes).

Preferred Skills:

• Experience with feature stores (e.g., Feast, Tecton).
• Knowledge of distributed training (e.g., Horovod, distributed PyTorch).
• Familiarity with big data tools (e.g., Spark, Hadoop, Beam).
• Understanding of NLP, computer vision, or time series analysis techniques.
• Knowledge of experiment tracking tools (e.g., MLflow, Weights & Biases).
• Experience with model explainability techniques (e.g., SHAP, LIME).
• Familiarity with reinforcement learning or generative AI models.

Tools & Technologies:

• Languages: Python, SQL (optionally: Scala, Java for large-scale systems)
• ML Frameworks: TensorFlow, PyTorch, scikit-learn, XGBoost, LightGBM
• MLOps: MLflow, Weights & Biases, Kubeflow, Seldon Core
• Data Processing: Pandas, NumPy, Apache Spark, Beam
• Model Serving: TensorFlow Serving, TorchServe, FastAPI, Flask
• Cloud Platforms: AWS (SageMaker, S3, EC2), Google Cloud AI Platform, Azure ML
• Orchestration: Docker, Kubernetes, Airflow
• Databases: PostgreSQL, BigQuery, MongoDB, Redis
• Experiment Tracking & Monitoring: MLflow, Neptune.ai, Weights & Biases
• Version Control: Git (GitHub, GitLab)
• Communication: Slack, Zoom
• Project Management: Jira, Confluence

Founding Teams is an AI pre accelerator and talent platform. We help Founders hire engineers, designers and marketing talent for their AI startup.

About the Role

As our Lead DevOps Engineer, you’ll design, implement, and maintain scalable, reliable, and secure infrastructure and CI/CD pipelines. You’ll mentor a team of DevOps engineers, partner closely with development teams, and drive best practices around automation, monitoring, and incident response.

Key Responsibilities

• Infrastructure Architecture:
• Lead design of cloud-native (AWS/Azure/GCP) microservices and data-platform architectures.
• Define Infrastructure-as-Code (IaC) standards using tools like Terraform or CloudFormation.
• CI/CD & Automation:
• Build and optimize end-to-end pipelines (Jenkins, GitLab CI, GitHub Actions).
• Automate testing, packaging, and deployments for containerized applications (Docker, Kubernetes).
• Monitoring & Observability:
• Implement logging, metrics, tracing (Prometheus, Grafana, ELK/EFK stack, Datadog, New Relic).
• Establish SLOs/SLIs, alerting, and runbooks for on-call rotations.
• Security & Compliance:
• Integrate security scanning (SAST/DAST) into pipelines (e.g. SonarQube, Snyk).
• Enforce IAM best practices, secrets management (Vault, AWS KMS, Azure Key Vault).
• Performance & Cost Optimization:
• Right-size cloud resources, optimize autoscaling, and manage reserved instances.
• Conduct regular architecture reviews to identify bottlenecks.
• Leadership & Mentorship:
• Coach and grow a team of DevOps/SRE engineers.
• Drive cross-functional training on DevOps tooling and practices.
• Incident Management:
• Lead post-mortem analyses and continuous improvement of incident response processes.

Required Skills & Experience

• 5+ years in DevOps, SRE, or infrastructure engineering roles
• Cloud Expertise: Deep hands-on experience with at least one major cloud provider (AWS, Azure, or GCP)
• IaC & Configuration Management:
• Terraform, AWS CloudFormation, or Pulumi
• Ansible, Chef, or Puppet
• CI/CD: Jenkins, GitLab CI/CD, GitHub Actions, or CircleCI
• Containerization & Orchestration: Docker, Kubernetes (EKS/GKE/AKS)
• Monitoring & Logging: Prometheus/Grafana, ELK/EFK, Datadog, New Relic, or equivalent
• Scripting & Automation: Python, Go, Bash, or similar
• Security Tools: Familiarity with Vault, AWS IAM, security scanners (Snyk, Trivy)
• Networking Fundamentals: VPCs, load balancers, DNS, CDN, firewalls
• Soft Skills:
• Strong communication and collaboration across teams
• Proven leadership: mentoring, code reviews, and guiding best practices

Nice-to-Haves

• Database Operations: Experience with managed databases (RDS, Cloud SQL, Cosmos DB) and NoSQL (DynamoDB, MongoDB)
• Serverless & Edge: Lambda/FaaS, CloudFront, Akamai, or Fastly
• Observability Platforms: OpenTelemetry, Jaeger, Splunk
• Cost-Management: AWS Cost Explorer, Azure Cost Management
• Certifications: AWS Certified DevOps Engineer, Certified Kubernetes Administrator (CKA), or equivalent

Support clients in the operation, maintenance, and optimization of Oracle Cerner EHR environments. This role is designed for early-career professionals who are eager to grow their technical skills in healthcare IT while working under the mentorship of experienced consultants and technical leaders. You will gain hands-on exposure to Cerner infrastructure, system workflows, and healthcare technology best practices while contributing to meaningful client outcomes.

Responsibilities:

• Focus: Design, build, validation, and production support
• Provide L2 production support for Oracle Cerner
• Troubleshoot production issues
• Resolve incidents within SLA while ensuring patient safety and data accuracy
• Configure and maintain components
• Configure and support workflows

Mandatory Skills

Experience with anyone of domains below:

• Pharmnet / Medication Management
• Orderset and PowerPlan
• RadNet
• PathNet and Blood Bank
• Ambulatory Clinical Documentation

Experience: 5–8 Years

Duration: 6-12 Months Contract

Location: Remote (Initial 1-week onboarding from Trivandrum/Kochi office mandatory)

Employment Type: contract

Notice Period: Immediate Joiners Preferred

About the Role

We are seeking a highly skilled Senior AI Security & Governance Engineer to design and implement runtime security and governance controls for enterprise AI systems. This role focuses on embedding responsible AI mechanisms directly into production environments through scalable, code-driven solutions rather than policy documentation alone.

The ideal candidate will have strong expertise in AI security, governance automation, runtime risk mitigation, and enterprise compliance practices. You will play a key role in safeguarding AI applications against risks such as hallucinations, prompt injection, misuse, and sensitive data leakage while enabling secure AI innovation at scale.

Key Responsibilities

• Design and implement AI runtime security controls including:
• Prompt filtering
• Output validation
• Misuse prevention mechanisms
• Runtime guardrails
• Develop automated governance and compliance controls for AI systems
• Build auditability, monitoring, logging, and traceability frameworks for AI workflows
• Create reusable safety and governance patterns across enterprise AI agents and applications
• Identify and mitigate AI-related risks including:
• Hallucinations
• Prompt injection attacks
• Data leakage scenarios
• Unsafe model behaviors
• Implement scalable runtime control systems to improve:
• Security
• Explainability
• Compliance
• Reliability
• Collaborate with engineering, governance, compliance, and security teams to ensure responsible AI deployment
• Proactively identify vulnerabilities, misuse scenarios, and edge cases in AI systems

Required Skills & Experience

• 5–8 years of relevant experience in security engineering, governance engineering, or AI security
• Strong hands-on experience with Python and scripting
• Experience working with:
• Security or governance-related systems
• Policy-as-code frameworks
• Rule engines
• Runtime enforcement mechanisms
• Strong understanding of:
• AI hallucinations
• Prompt injection vulnerabilities
• Data leakage risks
• Enterprise AI governance principles
• Compliance and security best practices
• Ability to design and implement scalable runtime controls for AI applications
• Strong analytical and problem-solving skills with a security-first mindset

Preferred Skills

• Experience with:
• Saviynt
• ServiceNow
• IAM (Identity & Access Management) systems
• Approval workflow systems
• Exposure to:
• Responsible AI frameworks
• Model risk governance frameworks
• Enterprise security and compliance environments

Educational Qualification

• Bachelor’s degree in Computer Science, Information Technology, or a related field

What We’re Looking For

• A technically strong engineer passionate about AI security and governance
• Someone who can balance innovation with enterprise risk management
• Strong ownership mindset toward runtime safety and compliance
• Ability to proactively identify vulnerabilities, misuse cases, and operational risks in AI systems

Founding Teams ai is an AI pre accelerator and talent platform. We help AI Founders to hire the best engineers, designers and marketing talent.

Lead Mobile Engineer (Flutter )

We are looking for a Lead Mobile Engineer to own the design, development, and scaling of our mobile applications across iOS and Android. You will be responsible for technical leadership, architecture decisions, and hands-on development using Flutter, while ensuring high performance, maintainability, and excellent user experience.

This role combines deep technical execution with leadership and ownership. You will work closely with product, design, backend, and AI teams to ship production-grade mobile apps.

Technical Leadership

• Own the mobile architecture and technical roadmap
• Make decisions on frameworks, tooling, and best practices
• Set and enforce code quality, performance, and security standards
• Lead technical reviews and mentor other mobile engineers

Development

• Build and maintain cross-platform mobile apps using Flutter
• Integrate with backend APIs, databases, and third-party services
• Implement native features when required (Swift / Kotlin)
• Ensure smooth performance, responsiveness, and stability
• Write clean, testable, and well-documented code

Collaboration

• Work closely with:
• Product managers to translate requirements into technical solutions
• Designers to implement pixel-perfect UIs
• Backend engineers on APIs and data models
• Participate in sprint planning, estimation, and delivery

Release & Maintenance

• Manage App Store & Play Store releases
• Monitor crashes, performance, and user feedback
• Own bug fixing, improvements, and app upgrades
• Ensure compliance with platform guidelines

Required Skills & Experience

Must Have

• 3+ years of mobile development experience
• 2+ years of Flutter (Dart) experience in production apps
• Strong understanding of:
• iOS (Swift)
• Android (Kotlin)
• Experience shipping and maintaining live apps
• Solid knowledge of mobile architecture patterns (MVVM, Clean Architecture)
• REST APIs, authentication, state management
• Git, CI/CD pipelines, code reviews

The ideal candidate will have a passion for next generation tech startups and working with great global startup talent.

Roles & Responsibilities - PART TIME - REMOTE

• 3 plus years experience
• Proven experience as a UX Designer, UI Designer or similar role
• Strong portfolio of design projects
• Background in project management and research
• Familiarity with interaction design and information architecture
• Proficient in design software (e.g. FIGMA,Photoshop, UXPin, Balsamiq)
• Knowledge of HTML/CSS; JavaScript is a plus
• Problem-solving aptitude
• Analytical mind with a business acumen
• Excellent communication skills
• BSc in Design, Computer Science, Engineering or a related field

ZeTheta Algorithms Private Limited is a FinTech start-up which has been recently set up and is developing innovative AI tools. https://www.instagram.com/zetheta.official/

About the Role

We are seeking a talented and motivated student intern for a Debt Investment Banking role. This is an extraordinary opportunity for a self-driven, financially skilled student with an eye for excellence.

About the Internship

As a Debt Investment Banking intern, you will work on cutting-edge projects involving debt investment banking with simulations. You will engage with real-world financial projects spanning fixed income, structured finance, risk management, and artificial intelligence applications in finance. You will have the opportunity to engage in multiple mini-project simulations across a large number of functional areas. It is a high-impact, portfolio-building opportunity that provides valuable industry experience.

Key Responsibilities

• Fixed Income Analysis and Valuation: Calculate Yield to Maturity (YTM) and assess returns on different types of fixed-income securities. Determine Present Value (PV) of securities and assess market pricing strategies.
• Debt Investment Strategies: Compare different investment options including direct corporate bonds, non-convertible debentures (NCDs), and debt mutual funds.
• Risk and Portfolio Management: Assess interest rate risks in structured finance instruments considering prepayment risk (Macaulay and Effective Duration). Quantify bond price sensitivity to market changes (Interest Rate Risk and Convexity). Develop machine learning models to estimate portfolio risk (Value at Risk). Evaluate AI-driven risk profiling tools for investors (Virtual Risk Analyser).
• Credit Research and Risk Analysis: Clean and analyse economic data to assess sovereign risk profiles. Build AI-driven models to predict corporate bond defaults (Probability of Default Modelling).
• Quantitative Finance and AI in Debt Markets: Construct and analyse yield curves from market data (Zero-Coupon Yield Curve). Understand AI tools to enhance financial modelling in Microsoft Excel.
• Investment Banking and Structured Finance: Examine spreads between investment-grade and high-yield corporate bonds (Credit Spread Analysis). Evaluate risks and returns of different Asset-Backed Securities types including credit cards and auto loans. Determine optimal bond issuance for a solar power project (Project Finance Modelling).

What You Will Learn

Practical exposure to debt investment banking with multi-functional area experience. Strong analytical and financial modelling skills through simulations. Enhanced presentation and communication skills. Knowledge of AI applications in finance.

Who Should Apply

Student or fresh graduate from any academic discipline. Strong analytical and problem-solving skills. Basic knowledge of Microsoft Office. Willingness to self-learn and work in a fast-paced environment.

Internship Details

Duration: Self-paced. Options of 1 month or 2 months within a period of 4 months.

Type: Unpaid.

Application Process

Join us through online enrolment — simply submit your updated CV. We do not conduct any interview or assessment. All motivated early career talent are welcome to take up the role.

ZeTheta Algorithms Private Limited is a FinTech start-up which has been recently set up and is developing innovative AI tools. https://www.instagram.com/zetheta.official

About the Role

As an Accountant intern, you will work on practical projects involving financial accounting, financial analysis, and compliance reporting. You will have the opportunity to engage in multiple mini-projects or take up a focused accounting research project. The project experience is designed to provide practical exposure to accounting in the context of asset management, trading, and financial technology. We provide problem statements, methodology, and after you submit your solution, we also showcase a sample solution. You can use our sample solution to modify your project submission and expand further based on suggestions given. You can also opt for your own research-based accounting solution to develop or model.

Responsibilities

Prepare and analyse financial statements, balance sheets, and income statements for financial entities. Assist in bookkeeping, journal entries, ledger maintenance, and account reconciliation. Support financial reporting and regulatory compliance for investment firms and trading entities. Conduct cost analysis, budget preparation, and variance analysis for portfolio management operations. Apply accounting principles to financial problems such as fair value accounting, derivative accounting, and investment valuations. Work with financial data including company reports, transaction records, and regulatory filings. Use Excel and accounting software to prepare, analyse, and present financial information. Participate in projects related to financial statement analysis, audit preparation, taxation, and financial compliance.

Who Should Apply

Any student with basic knowledge of accounting principles or a willingness to learn. A foundation in financial accounting, corporate accounting, or cost accounting is helpful. Use of all LLMs and NLP tools is permitted to help students develop solutions. Strong attention to detail and analytical skills. Ability to self-learn and work independently in a remote, flexible environment.

Internship Details

Duration: Self-paced. Options of 15 days and 1 to 6 months.

Type: Unpaid.

Application Process

• Join us through online enrolment — simply submit your updated CV. We do not conduct any interview or assessment. All motivated early career talent are welcome to take up the role.

Founding Teams is an AI pre accelerator & Talent platform. We are supporting the next generation of AI startup founders with the resources they need including engineering, product, sales, marketing and operations staff to create and launch their product.

The ideal candidate will have a passion for next generation AI tech startups and working with great global startup talent.

Job Summary:

We are seeking an experienced and motivated Lead Flutter Engineer to spearhead the development of mobile applications across Android and iOS platforms. As a technical leader, you will design scalable mobile architectures, guide a team of developers, ensure best coding practices, and drive the adoption of modern tools and technologies. You will be instrumental in delivering high-quality, high-performance, and user-friendly apps.

Key Responsibilities:

• Lead the development of Flutter-based applications from concept to deployment.
• Design and implement robust, scalable, and maintainable mobile architectures.
• Mentor and manage a team of Flutter developers, conducting code reviews and enforcing best practices.
• Collaborate with product managers, UI/UX designers, and backend engineers to define app requirements and functionalities.
• Evaluate and implement third-party SDKs, APIs, and Flutter packages as needed.
• Set up CI/CD pipelines for mobile app deployment.
• Continuously optimize performance and refactor codebases for speed and efficiency.
• Keep up with new trends and innovations in mobile development, Flutter, and Dart.
• Manage release cycles and work closely with QA to ensure bug-free releases.

Required Skills and Qualifications:

• 5+ years of professional experience in mobile development, with 3+ years focused on Flutter.
• Proficiency in Dart programming language.
• Deep understanding of State Management solutions like Provider, Riverpod, Bloc, Cubit, GetX.
• Expertise with Flutter SDK, Custom Widgets, and Animations.
• Solid understanding of REST APIs, GraphQL, and integration techniques.
• Strong knowledge of Object-Oriented Programming (OOP), design patterns, and SOLID principles.
• Experience with native Android (Kotlin/Java) or iOS (Swift/Objective-C) is a plus.
• Familiarity with Firebase (Authentication, Firestore, Push Notifications, Analytics).
• Experience with CI/CD tools: Bitrise, GitHub Actions, Codemagic, Fastlane.
• Version control experience with Git (GitHub, GitLab, Bitbucket).
• Familiarity with mobile performance tuning and optimization tools.
• Understanding of app deployment processes to Google Play Store and Apple App Store.

Are you obsessed with discovering new game titles and figuring out what makes them tick?

We're looking for a Game Researcher (Intern) to join our team — research, break, and learn from the best games out there.

This internship is perfect for college students eager to gain hands-on experience in game research, quality assurance, and documentation.

📌 Role Overview:

• 🏡 Remote (Must have your own laptop/PC capable of running Fortnite)
• 🎓 College students only
• 📍 India-based candidates only
• ⏳ Duration: 3 months
• 💰 Stipend: Unpaid internship
• 👤 Openings: 1

🔍 What You’ll do:

• Research and document top-performing mobile games
• Identify, document, and report bugs clearly and accurately
• Work closely with developers and designers to reproduce issues
• Contribute to improving user experience through critical feedback

🎯 Requirements:

• Deep love for playing, researching, and dissecting games
• Reliable internet + own PC / Laptop + mid-range mobile device
• Strong attention to detail and curiosity to explore all game mechanics

🎁 Perks:

• Gain real industry experience working in a live game development pipeline
• Opportunity to work on new games played by real audiences
• Get an Internship Certificate upon completion
• Potential opportunity for a paid contract offer based on performance