3967 Fastapi Jobs

Experience: 1 to 3 years Location: Mohali Punjab OVERVIEW Responsibilities: Develop and maintain web applications using Python frameworks like Django and Flask. Utilize data analysis libraries such as NumPy, pandas, and matplotlib for extracting insights from large datasets. Implement machine learning models using TensorFlow and PyTorch for various applications. Handle HTTP requests efficiently using libraries like Requests. Perform web scraping tasks using Beautiful Soup and Scrapy. Collaborate with cross-functional teams to design and implement scalable solutions. Ensure the security and integrity of data by integrating with database systems like SQL (e.g., PostgreSQL, MySQL) or NoSQL databases (e.g., MongoDB). Stay updated with the latest trends and technologies in the Python ecosystem. Requirements: Bachelor’s degree in Computer Science, Engineering, or related field. Excellent problem-solving skills and attention to detail. Ability to work independently as well as in a team environment. Strong proficiency in Python programming language. Experience with Python frameworks such as Django and Flask for web development. Familiarity with LangChain, LlamaIndex, ML, or VectorDB technologies is a plus, enhancing the team’s capabilities in data management and analysis. Proficiency in deploying Python applications to AWS, Azure, or GCP cloud platforms. Experience with FastAPI as an API development framework, facilitating efficient and robust development of web APIs to support the software ecosystem. Familiarity with data analysis libraries like NumPy, Pandas, Requests, and matplotlib. Experience in handling HTTP requests and web scraping. Understanding of database systems like SQL (e.g., PostgreSQL, MySQL) or NoSQL databases (e.g., MongoDB). Strong communication and interpersonal skills. Programming languages: Python, JavaScript, HTML, CSS. Experience with DevOps tools (Jenkins, Docker, Kubernetes) is a plus. Version control: Git, GitHub. Knowledge of LLM, AI/ML, and OpenAI technologies is a bonus. Job Type: Full Time, Permanent, Regular 5 Days Working Location: Plot no.968, Sector-82, JLPL Industrial Area, Mohali, Punjab (140306) Supplement Pay: Yearly Performance Based Bonus, Overtime pays, and others. Benefits: Personality and Training Development, Paid leave, Mensuration leaves, Maternity leaves, Compensatory Off and other special leaves.

At Franklin Templeton, we’re driving our industry forward by developing new and innovative ways to help our clients achieve their investment goals. Our dynamic and diversified firm spans asset management, wealth management, and fintech, offering many ways to help investors make progress toward their goals. Our talented teams working around the globe bring expertise that’s both broad and unique. From our welcoming, inclusive, and flexible culture to our global and diverse business, we offer opportunities not only to help you reach your potential but also to contribute to our clients’ achievements. Come join us in delivering better outcomes for our clients around the world! What is the Software Engineer responsible for? The FTT AI & Digital Transformation group is a newly established team within Franklin Templeton Technologies, the Technology function within Franklin Templeton Investments. The core mandate of this role is to bring innovative digital investment products and solutions to market leveraging a patented and innovative digital wealth tech/fintech product - Goals Optimization Engine (GOE) - built with several years of academic research in mathematical optimization, probability theory and AI techniques at its core. The mandate also extends to leveraging cutting edge AI such as Generative AI in addition to Reactive AI to create value within various business functions within Franklin Templeton such as Investment Solutions, Portfolio Management, Sales & Distribution, Marketing, HR functions among others in a responsible and appropriate manner. The possibilities are limitless here and this would be a fantastic opportunity for self-motivated and driven professionals to make significant contributions to the organization and to themselves. What are the ongoing responsibilities of Software Engineer? Software Engineer provides expertise and experience in application development and production support activities to support business needs: Architect, build, and optimize back-end systems, APIs, and databases to support seamless front-end interactions. Write clean, efficient, and maintainable code with strong documentation across the stack. Integrate AI-assisted development workflows using tools like GitHub Copilot to accelerate delivery. Collaborate closely with product managers, designers, and other developers to deliver high-quality features. Engage in user acceptance testing (UAT) and support test execution with analysts and stakeholders. Build and deploy back-end services in Python using frameworks like Django or Flask: Ensure application security, performance, and scalability through robust testing and code reviews. Build for scalability, observability, and resilience in a multi-tenant, white-label setup. Debug and troubleshoot issues across the entire stack, from the database to the front-end. Participate in sprint planning, backlog grooming, and release planning to deliver high-quality features on time. Stay current with industry trends, tools, and best practices to continuously improve development processes. What ideal qualifications, skills & experience would help someone to be successful? Education and Experience: At least 4+ years of experience in software development. Bachelor’s degree in computer science, engineering, or a related field. Candidates from Tier 1 or Tier 2 institutions in India (e.g., IITs, BITS Pilani, IIITs, NITs, etc.) are strongly preferred. Strong experience in programming/Software and Frameworks: Python, Flask/FASTAPI, gRPC. Good to have experience in Atlassian tools. Proficiency in using AI tools such as GitHub Copilot. Proficient in creating and consuming RESTful APIs. Proficiency in writing unit test cases Experience with DevOps practices and tools. Experience with event streaming platforms such as Kafka Familiarity with serverless architecture. Strong understanding of microservices architecture and distributed systems. Working knowledge of AWS services and cloud deployment practices. A keen eye for design details and familiarity with best practices in responsive UI design. Excellent analytical and problem-solving skills with a proactive, solution-oriented mindset. Ability to work independently and collaboratively in Agile environments. Strong communication skills to collaborate on solutions with other team members. Self-starter and individual thinker. Ability to take a problem and use resources to solve it. Bonus: Experience with CMS-integrated backends or regulated industries (finance, healthcare, etc.) Job Level - Individual Contributor Work Shift Timings - 2:00 PM - 11:00 PM IST Experience our welcoming culture and reach your professional and personal potential! Our culture is shaped by our diverse global workforce and strongly held core values. Regardless of your interests, lifestyle, or background, there’s a place for you at Franklin Templeton. We provide employees with the tools, resources, and learning opportunities to help them excel in their career and personal life. Hear more from our employees By joining us, you will become part of a culture that focuses on employee well-being and provides multidimensional support for a positive and healthy lifestyle. We understand that benefits are at the core of employee well-being and may vary depending on individual needs. Whether you need support for maintaining your physical and mental health, saving for life’s adventures, taking care of your family members, or making a positive impact in your community, we aim to have them covered. Highlights of our benefits include: Professional development growth opportunities through in-house classes and over 150 Web-based training courses An educational assistance program to financially help employees seeking continuing education Medical, Life and Personal Accident Insurance benefit for employees. Medical insurance also cover employee’s dependents (spouses, children and dependent parents) Life insurance for protection of employees’ families Personal accident insurance for protection of employees and their families Personal loan assistance Employee Stock Investment Plan (ESIP) 12 weeks Paternity leave Onsite fitness center, recreation center, and cafeteria Transport facility Child day care facility for women employees Cricket grounds and gymnasium Library Health Center with doctor availability HDFC ATM on the campus Learn more about the wide range of benefits we offer at Franklin Templeton Franklin Templeton is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all applicants and existing employees, and we evaluate qualified applicants without regard to ancestry, age, color, disability, genetic information, gender, gender identity, or gender expression, marital status, medical condition, military or veteran status, national origin, race, religion, sex, sexual orientation, and any other basis protected by federal, state, or local law, ordinance, or regulation. Franklin Templeton is committed to fostering a diverse and inclusive environment. If you believe that you need an accommodation or adjustment to search for or apply for one of our positions, please send an email to accommodations@franklintempleton.com . In your email, please include the accommodation or adjustment you are requesting, the job title, and the job number you are applying for. It may take up to three business days to receive a response to your request. Please note that only accommodation requests will receive a response.

🚀 We're Hiring: Senior AI/ML Engineer | Join Our Mission to Build the Future of Intelligent Systems Are you passionate about cutting-edge AI and machine learning? Are you eager to build and deploy Large Language Models, intelligent agents, and transformative AI systems at scale? We’re looking for a " Senior AI/ML Engineer" to join our fast-moving team and make a real impact. 🔍 What You’ll Do: Fine-tune and optimize state-of-the-art models (Transformers, CNNs, RNNs) for real-world use cases Apply quantization and other optimization techniques (INT8, INT4, dynamic quantization) to maximize model performance Build, deploy, and scale intelligent AI agents and multi-agent systems Design APIs and services using FastAPI, Flask, or Django REST, and deploy using Docker/Kubernetes across AWS/GCP/Azure Collaborate on production-grade solutions using PyTorch, TensorFlow, Hugging Face Transformers Leverage vector databases (e.g., Pinecone, Weaviate, Chroma) to power intelligent applications ✅ What We’re Looking For: 3+ years of AI/ML development experience with a proven track record of delivering impactful projects Expertise in fine-tuning and deploying LLMs and deep learning models Deep understanding of modern AI workflows and frameworks (Transformers, Agents, RAG, etc.) Strong Python skills and solid software engineering fundamentals Hands-on experience with production environments, CI/CD, and cloud platforms Proficiency in databases (PostgreSQL + vector DBs) and collaborative Git workflows 🌟 Bonus Points For: Experience with distributed training and large-scale model development Familiarity with retrieval-augmented generation (RAG), prompt engineering, and chain-of-thought reasoning. Background in AI ethics or responsible AI practices Start-up or rapid development experience Bachelor’s or Master’s degree in Computer Science, AI, or a related field 🌐 Why Join Us? Work on high-impact, technically challenging problems Be part of a collaborative, fast-moving, and forward-thinking team Build products that leverage cutting-edge AI to solve real-world challenges Shape the direction of intelligent systems from the ground up \#AIJobs #MachineLearning #DeepLearning #LLMs #MLJobs #TechHiring #StartupJobs #ArtificialIntelligence #FastAPI #HuggingFace #PyTorch #Kubernetes #AIEngineer

Job Title: Python Developer Job Description: We are looking for a skilled Python Developer with a strong foundation in asynchronous programming, system-level development, and modern deployment practices. The ideal candidate will be adept at working across the full software development lifecycle (SDLC), collaborating with cross-functional teams, and deploying scalable services in cloud environments. This position is based in Jersey City and requires in-office work. Local candidates are preferred. Must-have skills: Python, Kubernetes ** Responsibilities** - Develop clean, maintainable Python code using core concepts like object-oriented programming (OOP), exception handling, and modular design. - Design and implement asynchronous workflows using Python's asyncio and event-driven frameworks like Twisted. - Work with system-level programming concepts including Unix Shared Memory, Unix Sockets, and inter-process communication (IPC). - Create and maintain RESTful APIs using Flask or FastAPI with a proper understanding of the request/response lifecycle and error handling. - Perform advanced data manipulation and transformation using Pandas. - Build and manage Docker or Podman containers; deploy containerized applications to AWS ECS. - Understand container networking, volumes, and best practices for image creation and deployment. - Collaborate with stakeholders, provide clear technical communication, maintain documentation, and contribute to daily team syncs and agile ceremonies. **Required Skills** - Proficiency in Python and asynchronous programming (Async IO, Twisted). - Hands-on experience with Unix/Linux system programming fundamentals. - Experience developing RESTful services and working with data manipulation libraries like Pandas. - Working knowledge of container tools (Docker or Podman) and deployment to cloud platforms (AWS ECS preferred). - Strong verbal and written communication skills, including the ability to explain complex topics and document solutions effectively. **Preferred Qualifications** - Familiarity with DevOps practices and CI/CD pipelines. - Experience with monitoring/logging tools (e.g., Prometheus, Grafana, Splunk). - Exposure to agile development methodologies. Job Type: Full-time Pay: ₹1,200,000.00 - ₹1,700,000.00 per year Benefits: Health insurance Provident Fund Schedule: Day shift Work Location: In person

Job Title: Part-Time Python Developer (Project-Based) Location: Remote Engagement Type: Part-Time / Freelance Compensation: Fixed cost per project (as per mutual agreement) Job Description: We are looking for an experienced and self-driven Python Developer to work with us on a part-time, project-based model. You will be responsible for building scalable backends, writing clean code, and integrating APIs for a variety of digital solutions. Each project will have clearly defined scopes and fixed pricing discussed upfront. Responsibilities: Collaborate with our team to understand project requirements Develop, test, and deploy Python-based web applications and backend systems Integrate third-party APIs and services Write clean, efficient, and maintainable code Debug and resolve technical issues Deliver tasks on time as per project deadlines Requirements: Strong knowledge of Python (Django/Flask/FastAPI preferred) Experience with databases (PostgreSQL, MySQL, MongoDB) Understanding of RESTful API development Familiarity with Git and version control workflows Good communication skills and ability to work independently Bonus: Experience with cloud services (AWS, GCP, etc.) Engagement Terms: Work will be assigned on a project-by-project basis Fixed budget per project based on scope Flexible working hours but deadlines must be respected Job Types: Part-time, Freelance Contract length: 3 months Pay: ₹12,864.29 - ₹30,000.00 per month Expected hours: 24 per week Benefits: Work from home

Spreetail propels brands to increase their ecommerce market share across the globe while improving their operational costs. Learn how we are building one of the fastest-growing ecommerce companies in history: www.spreetail.com . Our Software & Technology teams build scalable, reliable, and cutting-edge software to propel Spreetail to being a top ecommerce company. We are seeking motivated individuals who are passionate about learning new technologies and building software to build a monster ecommerce company. If you are looking for an environment that provides creative freedom, work-life balance, and meaningful relationships, keep scrolling down. This position is remote in India This position will be remote in the country of India and will work Monday-Friday during India hours. How You Will Achieve Success Backend Development: Expert-level Python development, with a deep understanding of building high-performance applications, preferably with frameworks like FastAPI. Modern Data Engineering Stack: Advanced, hands-on experience with DBT, Snowflake, S3, and AWS Glue. You know how to build, test, and optimize complex data transformations. Distributed Systems & Infrastructure: Deep knowledge of Kafka, Redis, and PostgreSQL. Your experience is not just in using them, but in optimizing and scaling them to handle millions of records daily. Performance Optimization: Proven experience scaling systems, diagnosing bottlenecks, and implementing solutions (e.g., caching, query optimization, consumer scaling) for high-volume data environments. API Design & Data-Intensive Applications: A strong background in building robust, high-throughput APIs designed for consuming large, processed datasets. Technical Leadership: Experience mentoring other engineers on projects and leading technical efforts across teams. What Experiences Will Help You In This Role Bring 5–6 years of engineering experience, including developing and operating large-scale web scraping systems using tools like Selenium, Playwright, Beautiful Soup, or Puppeteer for data extraction at scale. Build and maintain high-performance backend services using Python/FastAPI, integrating with Kafka or RabbitMQ, and exposing clean, reliable APIs. Leverage deep experience with PostgreSQL, including query optimization and index tuning, to support high-volume read/write operations. Design and optimize scalable data pipelines using DBT and AWS Glue (or similar frameworks) for large-scale data ingestion, transformation, and storage across cloud infrastructure. Ensure end-to-end observability and system health through proactive monitoring, alerting, and debugging using tools like Datadog and centralized logging. Lead architectural reviews and mentor peers, collaborating cross-functionally with analysts, PMs, and DevOps to deliver reliable, scalable platforms. This is a remote position and requires candidates to have an available work-from-home setup Desktop/Laptop System Requirements 4th generation or higher, at least Intel i3 or equivalent processor; at least 4GB RAM; Windows 10 and above or MAC OSX operating system You are required to provide your own dual monitors A strong and stable internet connection (A DSL, cable or fiber wired internet service with 10 Mbps plan or higher for primary connection) PC Headset A high-definition (HD) external or integrated webcam with at least 720p resolution. Please be aware of scammers. Spreetail will only contact you through Lever or the spreetail.com domain. Spreetail will never ask candidates for money during the recruitment process. Please reach out to careers@spreetail.com directly if you have any concerns. Emails from @spreetailjobs.com are fraudulent.

Software Engineer – Full stack developer About Nasuni Nasuni is a profitable, growing SaaS data infrastructure company reinventing enterprise file storage and data management in an AI-driven world. We power the data infrastructure of the world’s most innovative enterprises. Backed by Vista Equity Partners, our engineers aren’t working behind the scenes — they’re building what’s next with AI. Our platform lets businesses seamlessly store, access, protect, and unlock AI-driven insights from exploding volumes of unstructured file data. As an engineer here, you’ll help build AI-powered infrastructure trusted by 900+ global customers, including Dow, Mattel, and Autodesk. Nasuni is headquartered in Boston, USA with offices in Cork-Ireland, London-UK and we are starting an India Innovation Center in Hyderabad India to leverage exuberant IT talent available in India. Company’s recent Annual Revenue at $160M and is growing at 25% CAGR. We have a hybrid work culture. 3 days a week working from the Hyderabad office during core working hours and 2 days working from home. Job Description We are looking for a highly skilled Software Engineer for full stack development. The ideal candidate will possess very good expertise in Python, Django or FastAPI, database management (Postgres or MySQL), API development, JavaScript (React), Typescript, HTML development and application testing. As a full-stack Software Engineer, you will play a pivotal role in developing and maintaining our hybrid cloud enterprise software, enabling remote file access and collaboration for Nasuni customers globally. Responsibilities Contributes to the design, implementation, and testing of new features. Shall make sure performance testing of the backend API services done to ensure scaling and user experience requirements are met. Maintains and enhances existing software components. Respond to customer raised incidents in a timely manner, perform root cause analysis and implement preventative measures to avoid future incidents. Work with AWS technologies such as EC2, Aurora, Elasticache, API Gateway, and Lambda. Collaborate and work closely with UI / UX / Product and system test engineers to deliver our collective goals. Ensure that the user interface is intuitive, responsive, and visually appealing. Follow the development process and quality guidelines set by the organization. Technical Skills Required You should have strong knowledge in Front-end or Backend code development. If you are good in both it will be an added advantage. Proficiency in any one of the programming languages is must - Python 3, Python FastAPI, JavaScript (React), Typescript. Good knowledge of Linux, Git (GitHub), Docker (Containers), Jenkins, Postgres or MySQL databases are essential is preferred. Good understanding of CI/CD pipeline building will be an added advantage. Exposure to cloud services, especially AWS will be added advantage. Very good problem solving and troubleshooting skills is essential. Experience working in an agile development environment, and a solid understanding of the agile methodologies. It is essential to have the right attitude to work and collaborate with team members, follow the organizational guidelines and take strong accountability to deliverables. Experience BE/B.Tech, ME/M.Tech in computer science (or) Electronics and Communications (or) MCA 3 to 6 years’ previous experience in the industry. At least 2+ years of experience in full-stack development. Why Work at Nasuni – Hyderabad? Benefits As part of our commitment to your well-being and growth, Nasuni offers competitive benefits designed to support every stage of your life and career: Competitive compensation programs Flexible time off and leave policies Comprehensive health and wellness coverage Hybrid and flexible work arrangements Employee referral and recognition programs Professional development and learning support Inclusive, collaborative team culture Modern office spaces with team events and perks Retirement and statutory benefits as per Indian regulations To all recruitment agencies: Nasuni does not accept agency resumes. Please do not forward resumes to our job boards, Nasuni employees or any other company location. Nasuni is not responsible for any fees related to unsolicited resumes. Nasuni is proud to be an equal opportunity employer. We are committed to fostering a diverse, inclusive, and respectful workplace where every team member can thrive. All qualified applicants will receive consideration for employment without regard to race, religion, caste, color, sex, gender identity or expression, sexual orientation, disability, age, national origin, or any other status protected by applicable laws in India or the country of employment. We celebrate individuality and are committed to building a workplace that reflects the diversity of the communities we serve. If you require accommodation during the recruitment process, please let us know. This privacy notice relates to information collected (whether online or offline) by Nasuni Corporation and our corporate affiliates (collectively, “Nasuni”) from or about you in your capacity as a Nasuni employee, independent contractor/service provider or as an applicant for an employment or contractor relationship with Nasuni.

Python developers with good programming experience Knowledge of Django would be good to have Knowledge of FastAPI will be good to have Any hands on experience with GenAI and LLMs will be highly preferred Skills: python,llms,fastapi,genai,django

Experience Level : Software Engineer- 3-5 years of relevant experience in data engineering. About Forage AI : Forage AI is a pioneering AI-powered data extraction and automation company that transforms complex, unstructured web and document data into clean, structured intelligence. Our platform combines web crawling, NLP, LLMs, and agentic AI to deliver highly accurate firmographic and enterprise insights across numerous domains. Trusted by global clients in finance, real estate, and healthcare, Forage AI enables businesses to automate workflows, reduce manual rework, and access high-quality data at scale. About the Role : We are seeking a talented and growth-minded Software Engineer who is passionate about building, scaling, and modernizing impactful business systems. In this full-time position, you’ll work on a mix of new feature development, system enhancements, and platform modernization initiatives—while ensuring the stability and reliability of our core products. You’ll have the chance to experiment with and implement GenAI-driven approaches, innovations, and new strategies as we continue to evolve our solutions. We value engineers who express their best technical talent, contribute innovative ideas to overall product development, and propose creative automation solutions across our engineering efforts. This is an opportunity to propose and lead technical improvements, contribute to architectural evolution, and make your mark on products used by real customers. Structured onboarding and domain training will be provided to set you up for success. Key Responsibilities : Design and develop new features and enhancements for our core platforms and services. Contribute to the modernization and refactoring of existing systems and code bases. Propose, experiment with, and implement GenAI-based innovations, tools, or workflows to solve business problems and create new value. Drive technical improvements, suggest and lead platform upgrades, and champion engineering best practices. Investigate, debug, and resolve production issues, to deliver robust solutions that improve performance and maintainability. Collaborate with product, engineering, and business teams to deliver impactful end-to end solutions. Help maintain the reliability, scalability, and security of our systems as we evolve our platform. Technical Skills & Requirements: Python: Strong hands-on experience with core Python and its standard libraries Web Framework: Experience developing backend APIs and services using FastAPI/Flask. RabbitMQ: Proficiency in implementing message queues and task distribution. Docker & Docker Compose: Experience containerizing applications and managing services. WebScraping: Demonstrated expertise with webscraping tools and techniques. Playwright & Selenium: Practical experience with browser automation frameworks. PostgreSQL & SQLAlchemy: Proficient in SQL and ORM-based data access. MongoDB & PyMongo: Experience with NoSQLdata using PyMongo. Redis: Practical use for caching and lightweight messaging. AWS: Hands-on experience with services such as S3, Secrets Manager, and Auto Scaling Groups(using boto3). Linux/Unix: Comfort with command-line operations and scripting. Git: Proficient in version control and team collaboration. Concurrency: Experience with multithreading and asynchronous programming in Python. API Integrations: Familiarity with integrating third-party APIs, including authentication, data handling, and rate limiting. Good to have: Exposure to GenAI/LLMs (OpenAI, HuggingFace, etc.), prompt engineering, or integrating GenAI-powered features into products Other Infrastructure Requirements Since this is a completely work-from-home position, you will also require the following - ● High-speed internet connectivity for video calls and efficient work. ● Capable business-grade computer (e.g., modern processor, 8 GB+ of RAM, and no other obstacles to interrupted, efficient work). ● Headphones with clear audio quality. ● Stable power connection and backups in case of internet/power failure.

Senior AI/ML Engineer Company Overview At Jacav, we help businesses streamline and manage their DevOps and Microservices operations with ease. Our product, Cloud Dongle, simplifies deployment, monitoring, and management across cloud environments. Designed to support modern software development teams, it automates workflows, improves visibility, and enables faster, more reliable releases. Jacav offers tools for CI/CD, infrastructure-as-code, and real-time monitoring—all in one place. Join the growing number of teams using Jacav to take control of their DevOps and Microservices lifecycle. Position Overview We are seeking a Senior AI/ML Engineer to join our innovative team and help drive the next generation of intelligent DevOps and Microservices solutions. This role offers an exciting opportunity to work at the intersection of artificial intelligence and cloud infrastructure, developing cutting-edge AI capabilities that enhance our Cloud Dongle platform. Experience Required 5-10 years of professional experience in AI/ML engineering and software development Key Responsibilities • AI/ML Model Development : Design, develop, and deploy machine learning models to optimize DevOps workflows and enhance microservices management • Generative AI Implementation : Build and integrate generative AI solutions to automate complex operational tasks and improve user experiences • Agentic AI Systems : Develop autonomous AI agents that can make intelligent decisions within DevOps pipelines and infrastructure management • Cloud Infrastructure : Architect and implement scalable AI/ML solutions on AWS cloud platforms • API Development : Create robust, high-performance APIs using FastAPI to serve AI models and integrate with existing systems • Model Training & Optimization : Utilize TensorFlow and other frameworks to train, fine-tune, and optimize machine learning models • LLM Integration : Work with leading language models including OpenAI and Claude to enhance platform capabilities • Cross-functional Collaboration : Partner with DevOps, backend, and product teams to integrate AI solutions seamlessly into the Cloud Dongle ecosystem Required Technical Skills • Programming Languages : Advanced proficiency in Python • Machine Learning Frameworks : Strong experience with TensorFlow and modern ML libraries • Generative AI : Hands-on experience with generative AI technologies and applications • Cloud Platforms : Extensive experience with AWS services and cloud-native AI/ML solutions • Agentic AI : Experience developing autonomous AI systems and intelligent agents • LLM Integration : Practical experience with OpenAI, Claude, and other large language models • API Development : Proficiency in FastAPI and RESTful API design • DevOps Integration : Understanding of CI/CD pipelines, containerization, and infrastructure automation Preferred Qualifications • Experience with MLOps practices and model deployment at scale • Knowledge of microservices architecture and distributed systems • Familiarity with Kubernetes and container orchestration • Experience with real-time data processing and streaming • Background in infrastructure monitoring and observability • Understanding of cloud security best practices for AI/ML workloads What We Offer • Opportunity to work on cutting-edge AI/ML technologies in the DevOps space • Collaborative environment with cross-functional teams • Chance to impact the future of cloud infrastructure management • Competitive compensation and benefits package • Professional development and learning opportunities Join Jacav and help us revolutionize how teams manage their DevOps and Microservices operations through the power of artificial intelligence!

Job Description: SDE-II – Python Developer Job Title SDE-II – Python Developer Department Operations Location In-Office Employment Type Full-Time Job Summary We are looking for an experienced Python Developer to join our dynamic development team. The ideal candidate will have 2 to 5 years of experience in building scalable backend applications and APIs using modern Python frameworks. This role requires a strong foundation in object-oriented programming, web technologies, and collaborative software development. You will work closely with the design, frontend, and DevOps teams to deliver robust and high-performance solutions. Key Responsibilities • Develop, test, and maintain backend applications using Django, Flask, or FastAPI. • Build RESTful APIs and integrate third-party services to enhance platform capabilities. • Utilize data handling libraries like Pandas and NumPy for efficient data processing. • Write clean, maintainable, and well-documented code that adheres to industry best practices. • Participate in code reviews and mentor junior developers. • Collaborate in Agile teams using Scrum or Kanban workflows. • Troubleshoot and debug production issues with a proactive and analytical approach. Required Qualifications • 2 to 5 years of experience in backend development with Python. • Proficiency in core and advanced Python concepts, including OOP and asynchronous programming. • Strong command over at least one Python framework (Django, Flask, or FastAPI). • Experience with data libraries like Pandas and NumPy. • Understanding of authentication/authorization mechanisms, middleware, and dependency injection. • Familiarity with version control systems like Git. • Comfortable working in Linux environments. Must-Have Skills • Expertise in backend Python development and web frameworks. • Strong debugging, problem-solving, and optimization skills. • Experience with API development and microservices architecture. • Deep understanding of software design principles and security best practices. Good-to-Have Skills • Experience with Generative AI frameworks (e.g., LangChain, Transformers, OpenAI APIs). • Exposure to Machine Learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch). • Knowledge of containerization tools (Docker, Kubernetes). • Familiarity with web servers (e.g., Apache, Nginx) and deployment architectures. • Understanding of asynchronous programming and task queues (e.g., Celery, AsyncIO). • Familiarity with Agile practices and tools like Jira or Trello. • Exposure to CI/CD pipelines and cloud platforms (AWS, GCP, Azure). Company Overview We specialize in delivering cutting-edge solutions in custom software, web, and AI development. Our work culture is a unique blend of in-office and remote collaboration, prioritizing our employees above everything else. At our company, you’ll find an environment where continuous learning, leadership opportunities, and mutual respect thrive. We are proud to foster a culture where individuals are valued, encouraged to evolve, and supported in achieving their fullest potential. Benefits and Perks • Competitive Salary: Earn up to ₹6 –10 LPA based on skills and experience. • Generous Time Off: Benefit from 18 annual holidays to maintain a healthy work-life balance. • Continuous Learning: Access extensive learning opportunities while working on cutting-edge projects. • Client Exposure: Gain valuable experience in client-facing roles to enhance your professional growth.

Compensation: Up to $300,000 USD annually + Equity Type: Full-time | Remote A cutting-edge AI company is seeking a Principal Python Backend Engineer to lead backend architecture for distributed AI systems. You’ll design scalable infrastructure supporting real-time inference, model management, and AI application workflows. Responsibilities: Architect and scale distributed backend systems for AI platforms Build performant APIs and orchestration layers powering ML pipelines Lead and mentor a team of backend engineers Collaborate closely with ML, data, and product teams Requirements: 8+ years of backend experience in Python (FastAPI, Django, Flask) Strong expertise in distributed systems, async processing, and system performance Deep familiarity with PostgreSQL, Redis, Celery, and cloud-native architecture Bonus: Background in AI infra, LLM ops, or vector DBs

Compensation: Up to $300,000 USD annually + Equity Type: Full-time | Remote We're looking for a Senior Python Backend Engineer to help build infrastructure powering real-time AI workflows and ML pipelines. You’ll work on high-availability systems and collaborate with a global team of engineers and researchers. Responsibilities: Build and optimize backend APIs and services for AI products Integrate with task queues, model inference APIs, and vector search systems Ensure system reliability and scalability across deployments Requirements: 5+ years of Python backend development Experience with FastAPI or Django, PostgreSQL, Celery, Redis Familiarity with LLM infrastructure, data orchestration, or AI tools is a big plus Strong problem-solving, documentation, and testing practices

Company Overview Advertising Saga, headquartered in Mumbai, is a leading Amazon Digital Marketing Agency. Founded by Amazon expert Viral Jain, the company is dedicated to helping clients dominate their category and grow profitability on Amazon. With a team of experts, Advertising Saga has achieved sales exceeding INR 10 crores for its clients. The company operates with a team of 11-50 employees, focusing on enhancing client success on Amazon. Job Overview Advertising Saga is seeking a dedicated Backend Developer Intern for a full-time internship position based in Mumbai. This junior-level position is ideal for freshers or candidates with up to 1 year of experience in web development. The intern will gain hands-on experience in backend development, working on projects that impact client growth and profitability on Amazon. Qualifications and Skills Proficiency in Python programming language is mandatory for developing efficient backend solutions (Mandatory skill). Experience or knowledge of FastAPI framework to build high-performance web services (Mandatory skill). Proficient in API development, ensuring smooth data flow between server and client applications (Mandatory skill). Understanding of back-end web development principles with the ability to implement server-side logic efficiently. Basic knowledge of database management, including design and optimization techniques. Ability to collaborate with cross-functional teams to define, design, and deliver new features and enhancements. Strong problem-solving skills with an aptitude for identifying solutions to technical challenges. Eagerness to learn new technologies and frameworks as needed to support project execution and enhancements. Roles and Responsibilities Assist in the development and maintenance of back-end solutions that enhance client success on Amazon. Collaborate with the team to design, develop, and implement APIs that support web and mobile applications. Contribute to code reviews, ensuring code quality and adherence to established coding standards. Monitor and troubleshoot performance issues in the back-end system to maintain application stability. Participate in agile development processes, including sprint planning and retrospective meetings. Conduct research to explore new technologies and implement innovative solutions that improve operational efficiency. Provide support in the documentation of development processes, technical specifications, and project requirements. Engage with the team in brainstorming sessions to contribute ideas for new product features and enhancements.

Job Title: AI/ML Ops Engineer Location: Ahmedabad - Onsite Duration: 2-4 years experience (Ca ndidates below 2 year - PLEASE DO NOT APPLY) About the Role We are seeking an experienced AI/ML Ops Engineer to join our team and drive the development, deployment, and operationalization of machine learning and large language model (LLM) systems. You will be responsible for building scalable ML pipelines, enabling intelligent retrieval-augmented generation (RAG) capabilities, and deploying services that power intelligent enterprise applications. Key Responsibilities Develop and maintain machine learning models to forecast user behavior using structured time-series data. Build and optimize end-to-end regression pipelines using advanced libraries such as CatBoost , XGBoost , and LightGBM . Design and implement RAG (Retrieval-Augmented Generation) pipelines for enterprise chatbot systems utilizing tools like LangChain , LLM Router , or custom-built orchestrators. Work with vector databases for semantic document retrieval and reranking. Integrate external APIs into LLM workflows to enable tool/function calling capabilities. Package and deploy ML services using tools such as Docker , FastAPI , or Flask . Collaborate with cross-functional teams to ensure reliable CI/CD deployment and version control practices. Core Technologies & Tools Languages: Python (primary), Bash, SQL ML Libraries: scikit-learn, CatBoost, XGBoost, LightGBM, PyTorch, TensorFlow LLM & RAG Tools: LangChain, Hugging Face Transformers, LlamaIndex, LLM Router Vector Stores: FAISS, Weaviate, Chroma, Pinecone Deployment & APIs: Docker, FastAPI, Flask, Postman Infrastructure & Version Control: Git, GitHub, CI/CD pipeline Preferred Qualifications Proven experience in ML Ops, AI infrastructure, or productionizing ML models. Strong understanding of large-scale ML system design and deployment strategies. Experience working with vector databases and LLM-based applications in production.

At Franklin Templeton, we’re driving our industry forward by developing new and innovative ways to help our clients achieve their investment goals. Our dynamic and diversified firm spans asset management, wealth management, and fintech, offering many ways to help investors make progress toward their goals. Our talented teams working around the globe bring expertise that’s both broad and unique. From our welcoming, inclusive, and flexible culture to our global and diverse business, we offer opportunities not only to help you reach your potential but also to contribute to our clients’ achievements. Come join us in delivering better outcomes for our clients around the world! What is the Software Engineer responsible for? The FTT AI & Digital Transformation group is a newly established team within Franklin Templeton Technologies, the Technology function within Franklin Templeton Investments. The core mandate of this role is to bring innovative digital investment products and solutions to market leveraging a patented and innovative digital wealth tech/fintech product - Goals Optimization Engine (GOE) - built with several years of academic research in mathematical optimization, probability theory and AI techniques at its core. The mandate also extends to leveraging cutting edge AI such as Generative AI in addition to Reactive AI to create value within various business functions within Franklin Templeton such as Investment Solutions, Portfolio Management, Sales & Distribution, Marketing, HR functions among others in a responsible and appropriate manner. The possibilities are limitless here and this would be a fantastic opportunity for self-motivated and driven professionals to make significant contributions to the organization and to themselves. What are the ongoing responsibilities of Software Engineer? Software Engineer provides expertise and experience in application development and production support activities to support business needs: Architect, build, and optimize back-end systems, APIs, and databases to support seamless front-end interactions. Write clean, efficient, and maintainable code with strong documentation across the stack. Integrate AI-assisted development workflows using tools like GitHub Copilot to accelerate delivery. Collaborate closely with product managers, designers, and other developers to deliver high-quality features. Engage in user acceptance testing (UAT) and support test execution with analysts and stakeholders. Build and deploy back-end services in Python using frameworks like Django or Flask: Ensure application security, performance, and scalability through robust testing and code reviews. Build for scalability, observability, and resilience in a multi-tenant, white-label setup. Debug and troubleshoot issues across the entire stack, from the database to the front-end. Participate in sprint planning, backlog grooming, and release planning to deliver high-quality features on time. Stay current with industry trends, tools, and best practices to continuously improve development processes. What ideal qualifications, skills & experience would help someone to be successful? Education And Experience At least 4+ years of experience in software development. Bachelor’s degree in computer science, engineering, or a related field. Candidates from Tier 1 or Tier 2 institutions in India (e.g., IITs, BITS Pilani, IIITs, NITs, etc.) are strongly preferred. Strong experience in programming/Software and Frameworks: Python, Flask/FASTAPI, gRPC. Good to have experience in Atlassian tools. Proficiency in using AI tools such as GitHub Copilot. Proficient in creating and consuming RESTful APIs. Proficiency in writing unit test cases Experience with DevOps practices and tools. Experience with event streaming platforms such as Kafka Familiarity with serverless architecture. Strong understanding of microservices architecture and distributed systems. Working knowledge of AWS services and cloud deployment practices. A keen eye for design details and familiarity with best practices in responsive UI design. Excellent analytical and problem-solving skills with a proactive, solution-oriented mindset. Ability to work independently and collaboratively in Agile environments. Strong communication skills to collaborate on solutions with other team members. Self-starter and individual thinker. Ability to take a problem and use resources to solve it. Bonus: Experience with CMS-integrated backends or regulated industries (finance, healthcare, etc.) Job Level - Individual Contributor Work Shift Timings - 2:00 PM - 11:00 PM IST Experience our welcoming culture and reach your professional and personal potential! Our culture is shaped by our diverse global workforce and strongly held core values. Regardless of your interests, lifestyle, or background, there’s a place for you at Franklin Templeton. We provide employees with the tools, resources, and learning opportunities to help them excel in their career and personal life. Hear more from our employees By joining us, you will become part of a culture that focuses on employee well-being and provides multidimensional support for a positive and healthy lifestyle. We understand that benefits are at the core of employee well-being and may vary depending on individual needs. Whether you need support for maintaining your physical and mental health, saving for life’s adventures, taking care of your family members, or making a positive impact in your community, we aim to have them covered. Highlights Of Our Benefits Include Professional development growth opportunities through in-house classes and over 150 Web-based training courses An educational assistance program to financially help employees seeking continuing education Medical, Life and Personal Accident Insurance benefit for employees. Medical insurance also cover employee’s dependents (spouses, children and dependent parents) Life insurance for protection of employees’ families Personal accident insurance for protection of employees and their families Personal loan assistance Employee Stock Investment Plan (ESIP) 12 weeks Paternity leave Onsite fitness center, recreation center, and cafeteria Transport facility Child day care facility for women employees Cricket grounds and gymnasium Library Health Center with doctor availability HDFC ATM on the campus Learn more about the wide range of benefits we offer at Franklin Templeton Franklin Templeton is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all applicants and existing employees, and we evaluate qualified applicants without regard to ancestry, age, color, disability, genetic information, gender, gender identity, or gender expression, marital status, medical condition, military or veteran status, national origin, race, religion, sex, sexual orientation, and any other basis protected by federal, state, or local law, ordinance, or regulation. Franklin Templeton is committed to fostering a diverse and inclusive environment. If you believe that you need an accommodation or adjustment to search for or apply for one of our positions, please send an email to accommodations@franklintempleton.com. In your email, please include the accommodation or adjustment you are requesting, the job title, and the job number you are applying for. It may take up to three business days to receive a response to your request. Please note that only accommodation requests will receive a response.

Location : Kolkata, India (In-office) Type : Full-time Experience : 5+ years About Client Our client is building a next-generation platform to power preschools of the future combining powerful tools for curriculum planning, classroom journaling, communication, and AI-driven insights — all designed to elevate the preschool experience for educators, parents, and school leaders. Built for web, iOS, and Android , it blends world-class engineering with deep domain expertise in early childhood education. We're already trusted by forward-thinking preschools across India and globally, and are just getting started. About The Role We're looking for a seasoned Python backend engineer to join our core engineering team at Agastya – a next-gen EdTech SaaS for preschools. You’ll work closely with the founders and product teams to build scalable, fast, and secure backend services – and power the AI-enabled features that are core to our platform. Key Responsibilities Architect and maintain microservices using Flask and FastAPI Design performant, secure, and well-documented APIs Optimize systems for scalability and low latency Work with GCP services (Cloud Run, Cloud Storage, Firestore, IAM, etc. Maintain existing CI/CD pipelines and observability tools (Sentry, logging, etc.) Collaborate with mobile/web engineers for full-stack delivery Support deployment and scaling of AI/ML features and services Requirements 5+ years of backend development experience in Python Familiar with AI tools and IDEs like Cursor, Claude Code, etc. Deep expertise in Flask and FastAPI frameworks Hands-on experience with Google Cloud Platform (GCP) Strong understanding of performance optimization and async programming Experience with NoSQL databases like MongoDB or Firestore Comfortable with Docker and GitHub Actions Startup mindset: proactive, execution-oriented, and quality-driven Bonus / Preferred Familiarity with foundation model APIs and tools like OpenAI, CoreWeave, Pinecone, LangChain, etc. Exposure to building or integrating AI-driven features in production apps Skills: fastapi,flask,firestore,python,mongodb,sentry,gcp,iam,async programming,github,ci/cd,cloud,github actions,nosql,cloud run,ai tools,cursor,docker,claude code,cloud storage

Company Description Onelab Ventures is a leading technology company specializing in custom AI agent solutions and software development. We help startups and enterprises transform their ideas into innovative products and intelligent systems that drive growth and efficiency. Based on our experience of delivering over 100 successful projects with around 1 million weekly active users across various implementations, we possess deep expertise in AI, LLMs, SaaS, Fintech, and Healthcare. Our agile and collaborative development process ensures that clients' visions are seamlessly translated into reality by leveraging state-of-the-art technologies, advanced AI frameworks, and proven software development methodologies. Role Description This is a full-time, on-site role for a Technical Project Manager based in Pune. The ideal candidate will have hands-on experience managing software development life cycle (SDLC) projects, including AI/ML solutions, Python full stack applications, and MERN stack web platforms. You will be responsible for managing cross-functional teams, stakeholder communication, and end-to-end project execution. Key Responsibilities: Lead planning, execution, and delivery of multiple technical projects, ensuring they are delivered on time and within scope. Collaborate with engineering, design, QA, and product teams to define requirements and development roadmaps. Manage full project life cycle from concept to deployment using Agile/Scrum or hybrid methodologies. Oversee software development projects involving Python full stack, AI/ML models, and MERN stack architectures. Coordinate with data scientists, backend/frontend developers, and DevOps teams. Create and manage project documentation, schedules, risk logs, and status reports. Facilitate daily standups, sprint planning, retrospectives, and stakeholder updates. Track KPIs, resource allocation, and project milestones for continuous improvement. Identify and resolve project blockers, dependencies, and cross-team issues. Ensure compliance with quality standards, security protocols, and scalability requirements. Required Skills and Qualifications: Bachelor's degree in Computer Science, Engineering, or related field. 5+ years of project management experience in IT/software development. Proven experience managing SDLC-based projects and technical teams. Hands-on understanding of AI/ML concepts, Python full stack (FastAPI, Django, React/Node), and MERN stack development workflows. Proficient in Agile methodologies and tools like Jira, Trello, or Asana. Strong communication, organizational, and leadership skills. Experience with Git, CI/CD, and cloud platforms (AWS, Azure, GCP) is a plus. PMP, Scrum Master, or Agile certifications are preferred. Nice to Have: Experience working with remote/distributed teams. Familiarity with MLOps, microservices, and API integration. Exposure to UI/UX collaboration and wireframing tools (Figma, Sketch, etc.).

Job Title: Python Developer – FastAPI & React.js Location: Hashtag Building, Mann Road, Hinjewadi Phase 1, Pune Vacancies: 2 Salary: ₹5 – ₹8 LPA (Based on Experience) Employment Type: Full-Time | Permanent | Work From Office Working Days & Hours: Monday to Saturday | 10:00 AM – 07:00 PM Educational Qualification: B.Tech / B.E. / MCA / M.Sc in Computer Science, IT, or a related field. Interview Process: Round 1: Virtual Technical Interview Round 2: Face-to-Face Interview (In-Person at Pune Office) About the Role: We are hiring a Python Developer with solid hands-on experience in FastAPI (Backend) and React.js (Frontend) . The ideal candidate should be capable of building scalable APIs, integrating front-end components, and collaborating with cross-functional teams to deliver end-to-end solutions. Key Responsibilities: Develop and maintain backend services using FastAPI and Python. Integrate backend services with React.js based frontend applications. Design, build, and maintain APIs and data pipelines. Write clean, maintainable, and efficient code following best practices. Collaborate with UI/UX designers and backend developers to improve usability. Optimize applications for speed and scalability. Participate in code reviews, testing, and deployment activities. Required Experience: 2–5 years of relevant experience in Python backend development. Strong hands-on experience in FastAPI is a must. Working knowledge of React.js for frontend integration. Experience with RESTful APIs, MySQL/PostgreSQL, Git, and deployment tools. Ability to write unit and integration tests. Knowledge of Docker or cloud deployment is a plus.

We’re looking for a hands-on, product-minded full-stack developer with a strong interest in AI and automation . This role is ideal for someone who loves to build, experiment, and bring ideas to life — fast. You'll work closely with the founding team to prototype AI-powered tools and products from scratch.This is a highly AI-focused role where you will build tools powered by LLMs, workflow automation, and real-time data intelligence — not just build web apps, but create AI-first products . Location - Kochi, Bangalore | Years of experience - 1-3 Years Hire22. ai connects top talent with executive role s anonymously and confidential ly, transforming hiring through a n AI-first, instant CoNCT mod el. Companies ge t interview-ready candidates in just 22 hours . No telecalling, no spam, no manual filtering. Responsibilities Build and experiment with AI-first features powered by LLMs, embeddings, vector databases, and prompt-based workflows Fine-tune or adapt AI/ML models for specific use cases such as job matching, summarization, scoring, and classification Integrate and orchestrate AI capabilities using tools like Vertex AI, LangChain, Cursor, n8n, Flowise, etc. Work with vector databases and implement retrieval-augmented generation (RAG) patterns to build intelligent, context-aware AI applications. Design, build, and maintain full-stack web applications using Next.js and Python as supporting layers around core AI functionality Rapidly prototype ideas, test hypotheses, and iterate fast based on feedback Collaborate with product, design, and founders to transform internal ideas into deployable, AI-powered tools Building internal AI agents, assistants, or copilots Building tools for automated decision-making, resume/job matching, or workflow automation Skills Full-Stack Proficiency: Strong command of JavaScript/TypeScript with experience in modern frameworks like React or Next.js. Back-end experience with Python (FastAPI), orGo. Database Fluent: Comfortable working with both SQL (MySQL) and NoSQL databases (MongoDB, Redis), with good data modeling instincts. AI/ML First Mindset: Hands-on with integrating and optimizing AI models using frameworks like OpenAI, Hugging Face, LangChain, or TensorFlow. You understand LLM architecture, prompt engineering, embeddings, and AI orchestration tools. You’ve ideally built or experimented with AI-driven applications beyond just using APIs.. Builder Mentality: Passionate about product thinking and going from zero to one. You take ownership, work independently, and execute quickly without waiting for perfect clarity. Problem Solver: You break down complex problems, learn fast, and deliver clean, efficient solutions. You value both speed and quality. Communicator & Collaborator: You express your ideas clearly, ask good questions, and keep teams in sync by sharing progress and blockers openly.

We’re building something bold. A next-gen AI-powered ERP for manufacturers , designed for speed, simplicity, and intelligence — made for the modern industrial world. The product vision is sharp. The market need is validated. Early feedback is promising. Now, I’m looking for a hands-on, competent developer who’s: Excited by 0→1 product building Skilled in [FastAPI, Next.js, Python, TSX — adjust to our stack] Open to working lean, fast, and smart Ready to build and own , not just work This is not a job post. It’s a partnership invitation . 💼 What’s on the table: 🟢 Founding equity (5%–20%) 🟢 Ownership of tech roadmap 🟢 Co-creation of something meaningful If you’re tired of building for someone else’s dream — let’s talk. Or if you know someone who fits this spirit — tag them or DM me. Let’s build with intent. Let’s create something that lasts. #Startup #CoFounder #Developer #Equity #AI #ERP #FoundersWanted #TechForGood #Hiring #SaaS #StartupIndia #FastAPI #NextJS #B2B

Key Responsibilities: · Azure Cloud s Databricks: o Design and build efficient data pipelines using Azure Databricks (PySpark). o Implement business logic for data transformation and enrichment at scale. o Manage and optimize Delta Lake storage solutions. · API Development: o Develop REST APIs using FastAPI to expose processed data. o Deploy APIs on Azure Functions for scalable and serverless data access. · Data Orchestration s ETL: o Develop and manage Airflow DAGs to orchestrate ETL processes. o Ingest and process data from various internal and external sources on a scheduled basis. · Database Management: o Handle data storage and access using PostgreSQL and MongoDB. o Write optimized SQL queries to support downstream applications and analytics. · Collaboration: o Work cross-functionally with teams to deliver reliable, high-performance data solutions. o Follow best practices in code quality, version control, and documentation. Required Skills s Experience: · 5+ years of hands-on experience as a Data Engineer. · Strong experience with Azure Cloud services. · Proficient in Azure Databricks, PySpark, and Delta Lake. · Solid experience with Python and FastAPI for API development. · Experience with Azure Functions for serverless API deployments. · Skilled in managing ETL pipelines using Apache Airflow. · Hands-on experience with PostgreSQL and MongoDB. · Strong SQL skills and experience handling large datasets.

Caprae Capital Partners is an innovative private equity firm led by the principal Kevin Hong who has been a serial tech entrepreneur, and who grew two startups to $31M ARR and $7M in revenue. The fund originated with two additional tech entrepreneur friends of Kevin who have had ~8 figure and ~9 figure exits to Twitter and Square, respectively. Additional partners include an Ex-Nasa software engineer and an Ex-Chief of Staff from Google. Caprae Capital in conjunction with its portfolio company launched AI-RaaS (AI Readiness as a Service) and is looking for teammates to join for the long haul If you have a passion for disrupting the finance industry and happen to be a mission-driven person, this is a great fit for you. Additionally, given the recent expansion of this particular firm, you will have the opportunity to work from the ground level and take on a leadership role for the internship program which would result in a paid role. Lastly, this is also a great role for those who are looking into strategy and consulting roles in the future as it will give you the exposure and experience necessary to develop strong business acumen. Role Overview We are looking for a Lead Full Stack Developer to architect and lead the development of new features for SaaSquatchLeads.com, an AI-driven lead generation and sales intelligence platform. You will own technical direction, guide other engineers, and ensure our stack is scalable, maintainable, and optimized for AI-powered workloads. Key Responsibilities Lead architectural design and technical strategy for SaaSquatchLeads.com. Develop, deploy, and maintain end-to-end features spanning frontend, backend, and AI integrations. Implement and optimize AI-driven services for lead scoring, personalization, and predictive analytics. Build and maintain data pipelines for ingesting, processing, and analyzing large datasets. Mentor and guide a distributed engineering team, setting best coding practices . Collaborate with product, design, and data science teams to align technical execution with business goals. Ensure security, performance, and scalability of the platform. Required Skills & Technologies Frontend: React, JavaScript (ES6+), TypeScript, Redux/Zustand, HTML, CSS, TailwindCSS. Backend: Python (Flask, FastAPI, Django), Node.js (bonus). AI & Data Science: Python, PyTorch, Hugging Face, OpenAI APIs, LangChain, Pandas, NumPy. Databases: PostgreSQL, MySQL, MongoDB, Redis. DevOps & Infrastructure: Docker, Kubernetes, AWS (Lambda, S3, RDS, EC2), CI/CD pipelines. Data Processing: ETL tools, message queues (Kafka, RabbitMQ). Search & Indexing: Elasticsearch, Meilisearch (for fast lead lookups).

As a Python Developer specializing in Generative AI, you will play a key role in designing, developing, and deploying intelligent AI-powered systems during the night shift in Bangalore. Your primary responsibility will involve building and maintaining Python-based APIs and backends integrated with cutting-edge Generative AI models. You will collaborate with global teams to implement prompt engineering, fine-tuning, and model deployment pipelines using tools such as GPT, Claude, LLaMA, DALLE, and Stable Diffusion. Your expertise in PyTorch, TensorFlow, Hugging Face, LangChain, or OpenAI API will be crucial in optimizing model performance for latency, accuracy, and scalability. Additionally, you will deploy models using FastAPI, Flask, Docker, or cloud platforms while ensuring thorough testing, monitoring, and documentation of AI integrations. To excel in this role, you should possess at least 4 years of Python development experience along with 1 year of hands-on experience with Generative AI tools and models. Familiarity with vector databases such as FAISS, Pinecone, and Weaviate is also desirable. Exposure to GPU-based training or inference, MLOps tools like MLflow, Airflow, or Kubeflow, and a strong understanding of AI ethics, model safety, and bias mitigation are considered advantageous. This full-time, permanent position offers health insurance, Provident Fund benefits, and requires working in person during the night shift. If you are passionate about leveraging AI to address real-world challenges and thrive in a fast-paced environment, we encourage you to apply and contribute to innovative GenAI and ML projects.,

Please Read Carefully Before Applying Do NOT apply unless you have 3+ years of real-world, hands-on experience in the requirements listed below. Do NOT apply if you are not in Delhi or the NCR OR are unwilling to relocate. This is NOT a WFO opportunity. We work 5 days from office, so please do NOT apply if you are looking for hybrid or WFO. About Gigaforce Gigaforce is a California-based InsurTech company delivering a next-generation, SaaS-based claims platform purpose-built for the Property and Casualty industry. Our blockchain-optimized solution integrates artificial intelligence (AI)-powered predictive models with deep domain expertise to streamline and accelerate subrogation and claims processing. Whether for insurers, recovery vendors, or other ecosystem participants, Gigaforce transforms the traditionally fragmented claims lifecycle into an intelligent, end-to-end digital experience. Recognized as one of the most promising emerging players in the insurance technology space, Gigaforce has already achieved significant milestones. We were a finalist for InsurtechNY, a leading platform accelerating innovation in the insurance industry, and twice named a Top 50 company by the TiE Silicon Valley community. Additionally, Plug and Play Tech Center, the world's largest early-stage investor and innovation accelerator, selected Gigaforce to join its prestigious global accelerator headquartered in Sunnyvale, California. At the core of our platform is a commitment to cutting-edge innovation. We harness the power of technologies such as AI, Machine Learning, Robotic Process Automation, Blockchain, Big Data, and Cloud Computing-leveraging modern languages and frameworks like Java, Kotlin, Angular, and Node.js. We are driven by a culture of curiosity, excellence, and inclusion. At Gigaforce, we hire top talent and provide an environment where every voice matters and every idea is valued. Our employees enjoy comprehensive medical benefits, equity participation, meal cards and generous paid time off. As an equal opportunity employer, we are proud to foster a diverse, equitable, and inclusive workplace that empowers all team members to thrive. We're seeking a NLP & Generative AI Engineers with 2-8 years of hands-on experience in traditional machine learning, natural language processing, and modern generative AI techniques. If you have experience deploying GenAI solutions to production, working with open-source technologies, and handling document-centric pipelines, this is the role for you. You'll work in a high-impact role, leading the design, development, and deployment of innovative AI/ML solutions for insurance claims processing and beyond. In this agile environment, you'll work within structured sprints and leverage data-driven insights and user feedback to guide decision-making. You'll balance strategic vision with tactical execution to ensure we continue to lead the industry in subrogation automation and claims optimization for the property and casualty insurance market. Key Responsibilities Build and deploy end-to-end NLP and GenAI-driven products focused on document understanding, summarization, classification, and retrieval. Design and implement models leveraging LLMs (e.g., GPT, T5, BERT) with capabilities like fine-tuning, instruction tuning, and prompt engineering. Work on scalable, cloud-based pipelines for training, serving, and monitoring models. Handle unstructured data from insurance-related documents such as claims, legal texts, and contracts. Collaborate cross-functionally with data scientists, ML engineers, product managers, and developers. Utilize and contribute to open-source tools and frameworks in the ML ecosystem. Deploy production-ready solutions using MLOps practices : Docker, Kubernetes, Airflow, MLflow, etc. Work on distributed/cloud systems (AWS, GCP, or Azure) with GPU-accelerated workflows. Evaluate and experiment with open-source LLMs and embeddings models (e.g., LangChain, Haystack, LlamaIndex, HuggingFace). Champion best practices in model validation, reproducibility, and responsible AI. Required Skills & Qualifications 2 - 8 years of experience as a Data Scientist, NLP Engineer, or ML Engineer. Strong grasp of traditional ML algorithms (SVMs, gradient boosting, etc.) and NLP fundamentals (word embeddings, topic modeling, text classification). Proven expertise in modern NLP & GenAI models, including : Transformer architectures (e.g., BERT, GPT, T5) Generative tasks : summarization, QA, chatbots, etc. Fine-tuning & prompt engineering for LLMs Experience with cloud platforms (especially AWS SageMaker, GCP, or Azure ML). Strong coding skills in Python, with libraries like Hugging Face, PyTorch, TensorFlow, Scikit-learn. Experience with open-source frameworks (LangChain, LlamaIndex, Haystack) preferred. Experience in document processing pipelines and understanding structured/unstructured insurance documents is a big plus. Familiar with MLOps tools such as MLflow, DVC, FastAPI, Docker, KubeFlow, Airflow. Familiarity with distributed computing and large-scale data processing (Spark, Hadoop, Databricks). Preferred Qualifications Experience deploying GenAI models in production environments. Contributions to open-source projects in ML/NLP/LLM space. Background in insurance, legal, or financial domain involving text-heavy workflows. Strong understanding of data privacy, ethical AI, and responsible model usage. (ref:hirist.tech)