4019 Fastapi Jobs - Page 14

As a Full Stack Developer at our company, you will be responsible for developing and maintaining backend services using Django and FastAPI, designing and managing database schemas using PostgreSQL, and building responsive user interfaces with React.js. You will also create and manage CI/CD pipelines, configure Linux servers, handle application deployments, collaborate with cross-functional teams, and ensure the overall system performance, security, and reliability. The ideal candidate should have a strong understanding of Django, FastAPI, PostgreSQL, and React.js, along with experience in CI/CD pipelines, Linux environments, Nginx server configuration, and application deployment. You should be able to write clean, modular, and well-documented code, troubleshoot and debug issues, and monitor system performance. Additionally, knowledge of Agile methodologies, RESTful APIs, asynchronous programming, Docker, and cloud platforms would be beneficial. To qualify for this role, you should have a Bachelor's degree in Computer Science, Engineering, or a related field, along with at least 3 years of professional experience in full-stack development. Experience with Docker, cloud platforms like AWS/GCP/AZURE/DigitalOcean, web security best practices, and performance monitoring tools would be considered a plus. The position offers flexible working hours in either day or night shifts. If you meet the requirements and are eager to take ownership of both frontend and backend development processes, we encourage you to apply for this exciting opportunity by sharing your resume for immediate consideration.,

About Company : Our client is prominent Indian multinational corporation specializing in information technology (IT), consulting, and business process services and its headquartered in Bengaluru with revenues of gross revenue of ₹222.1 billion with global work force of 234,054 and listed in NASDAQ and it operates in over 60 countries and serves clients across various industries, including financial services, healthcare, manufacturing, retail, and telecommunications. The company consolidated its cloud, data, analytics, AI, and related businesses under the tech services business line. Major delivery centers in India, including cities like Chennai, Pune, Hyderabad, and Bengaluru, kochi, kolkatta, Noida. · Job Title: Python Application Programming · Location: Hyderabad · Experience: 7+ yrs · Job Type : Contract to hire. · Notice Period:- Immediate joiners. Mandatory Skills :Python Application Programming + Fast API + GraphQL JD: Python Responsibilities Design, develop, and maintain RESTful APIs using Python FASTAPI. Implement GraphQL for efficient data retrieval and server communication. Collaborate with frontend developers to integrate user-facing elements with server-side logic. Write clean, maintainable code and adhere to best practices in software development. Optimize application performance and scalability in production environments. Conduct code reviews and provide constructive feedback to ensure code quality. Troubleshoot software issues and improve existing systems using data analysis. Requirements Proven experience as a Python developer with a strong focus on backend technologies. Design and build GraphQL schema Hands-on experience with FASTAPI framework and GraphQL APIs. Contribute to the development of GraphQL APIs Work on the mobile app development cycle and its design principles Plan, prioritize and manage multiple tasks to achieve results Explain conclusively the value prop of GraphQL to API developers Solid understanding of asynchronous programming in Python. Familiarity with relational and NoSQL databases, including PostgreSQL and MongoDB. Knowledge of web security best practices and common vulnerabilities. Experience with version control tools, specifically Git. Ability to work collaboratively in an Agile development team environment.

As a Senior Full Stack Developer at Sakrat, you will be an integral part of our team, contributing your expertise to both the frontend and backend development of robust and scalable platforms. Your responsibilities will include working with React/TypeScript for the frontend and Python/FastAPI/Celery for the backend, ensuring a seamless integration between the two layers. You will play a key role in developing the visual editor using react-flow, enhancing the backend logic with Celery for asynchronous job queues, and optimizing REST APIs for efficient performance. Additionally, you will be involved in containerizing the system for streamlined multi-user deployments using Docker and Kubernetes. For the backend aspect of the role, you should have a strong proficiency in Python (3.10+), hands-on experience in building REST APIs with FastAPI/Uvicorn, and familiarity with tools like Celery, Redis, and RabbitMQ for job queues and worker scaling. Your database skills should encompass PostgreSQL, SQLite, and ORMs like SQLAlchemy or Tortoise. Knowledge of Docker, Docker Compose, and container-based deployments, along with exposure to Kubernetes or Helm, will be advantageous. Moreover, you should be well-versed in environment-based configuration, .env patterns, and secure secrets management. On the frontend side, you should demonstrate expertise in React (functional components, hooks) and TypeScript, with experience in using react-flow to build visual editors. A good understanding of frontend build tools like npm, webpack, and CSS frameworks such as Tailwind CSS is essential. You should also have the ability to create responsive, accessible, and dynamic UI components that contribute to an intuitive user experience. In addition to your technical skills, you will be expected to architect clean frontend-backend integrations, deploy full-stack applications in production environments, and understand CI/CD pipelines, versioning, and testing. Experience with multi-user architecture, session handling, and security best practices will be beneficial in this role. If you possess bonus skills such as familiarity with LangChain, RAG, or agent-based LLM pipelines, have contributed to open-source projects, or have prior experience in flow-based editors or chat widgets, it will be considered a plus. At Sakrat, we are a product engineering and digital transformation partner focused on building high-performance software systems for startups, scaleups, and enterprises. You will collaborate closely with founders, CTOs, and product leaders to deliver clean MVPs, modernize legacy platforms, and optimize cloud infrastructure. Our projects are led by experts and senior engineers with extensive experience in platform development, SaaS, AI, and enterprise systems. We prioritize secure, scalable, and well-documented systems that avoid technical debt by following clean architecture, agile practices, and automated pipelines.,

You are a skilled Python Developer with a minimum of 3 years of experience and are excited about the opportunity to join our dynamic and innovative team. In this role, you will be instrumental in the design, development, and maintenance of high-quality applications and solutions. Your responsibilities will include writing efficient, scalable, and maintainable code while collaborating with fellow developers, product managers, and designers to ensure the delivery of top-tier software products. Your key responsibilities will involve developing, testing, and maintaining Python applications in a fast-paced environment. You will be tasked with writing clean, maintainable, and efficient code that adheres to best practices and coding standards. Collaboration with cross-functional teams to define, design, and implement new features will be a crucial part of your role. Additionally, optimizing applications for speed and scalability, troubleshooting and debugging issues across various environments and platforms, as well as integrating data storage solutions like databases (SQL/NoSQL) and caching systems will be within your purview. Participation in code reviews, contribution to team knowledge sharing, staying updated with industry trends, technologies, and best practices, ensuring application performance, quality, and responsiveness, and writing automated tests for high code coverage are key aspects of this role. To excel in this position, you must possess a minimum of 3 years of experience as a Python Developer or in a similar role. Proficiency in Python and experience with frameworks such as Django, Flask, or FastAPI is essential. Familiarity with front-end technologies like JavaScript, HTML, and CSS is also required. Strong problem-solving skills, attention to detail, the ability to work both independently and as part of a team, and excellent written and verbal communication skills are crucial for success. This is a full-time, permanent position with benefits including paid sick time, paid time off, and Provident Fund. The work schedule is fixed from Monday to Friday with a day shift in the morning. The work location is in-person.,

We are looking for a forward-thinking Data Scientist with expertise in Natural Language Processing (NLP), Large Language Models (LLMs), Prompt Engineering, and Knowledge Graph construction. You will be instrumental in designing intelligent NLP pipelines involving Named Entity Recognition (NER), Relationship Extraction, and semantic knowledge representation. The ideal candidate will also have practical experience in deploying Python-based APIs for model and service integration. This is a hands-on, cross-functional role where you’ll work at the intersection of cutting-edge AI models and domain-driven knowledge extraction. Key Responsibilities: Develop and fine-tune LLM-powered NLP pipelines for tasks such as NER, coreference resolution, entity linking, and relationship extraction. Design and build Knowledge Graphs by structuring information from unstructured or semi-structured text. Apply Prompt Engineering techniques to improve LLM performance in few-shot, zero-shot, and fine-tuned scenarios. Evaluate and optimize LLMs (e.g., OpenAI GPT, Claude, LLaMA, Mistral, or Falcon) for custom domain-specific NLP tasks. Build and deploy Python APIs (using Flask/Fast API) to serve ML/NLP models and access data from graph database. Collaborate with teams to translate business problems into structured use cases for model development. Understanding custom ontologies and entity schemas for corresponding domain. Work with graph databases like Neo4j or similar DBs and query using Cypher or SPARQL. Evaluate and track performance using both standard metrics and graph-based KPIs. Required Skills & Qualifications: Strong programming experience in Python and libraries such as PyTorch, TensorFlow, spaCy, scikit-learn, Hugging Face Transformers, LangChain, and OpenAI APIs. Deep understanding of NER, relationship extraction, co-reference resolution, and semantic parsing. Practical experience in working with or integrating LLMs for NLP applications, including prompt engineering and prompt tuning. Hands-on experience with graph database design and knowledge graph generation. Proficient in Python API development (Flask/FastAPI) for serving models and utilities. Strong background in data preprocessing, text normalization, and annotation frameworks. Understanding of LLM orchestration with tools like LangChain or workflow automation. Familiarity with version control, ML lifecycle tools (e.g., MLflow), and containerization (Docker). Nice to Have: Experience using LLMs for Information Extraction, summarization, or question answering over knowledge bases. Exposure to Graph Embeddings, GNNs, or semantic web technologies (RDF, OWL). Experience with cloud-based model deployment (AWS/GCP/Azure). Understanding of retrieval-augmented generation (RAG) pipelines and vector databases (e.g., Chroma, FAISS, Pinecone). Job Type: Full-time Pay: ₹1,200,000.00 - ₹2,400,000.00 per year Ability to commute/relocate: Chennai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Preferred) Education: Bachelor's (Preferred) Experience: Natural Language Processing (NLP): 3 years (Preferred) Language: English & Tamil (Preferred) Location: Chennai, Tamil Nadu (Preferred) Work Location: In person

Role: Python Data Engineer- C2H Experience: 6+ Years Contract Duration: 6 months Location: Gurgaon (Hybrid) Shift: IST Job Description: Develop clean, modular Python code for scalable data pipelines Use Pandas to drive data transformation and analysis workflows Integrate with LLM APIs (like OpenAI) to build smart document solutions Build robust REST APIs (FastAPI / Flask) for data and document services Work with Azure cloud (Functions, Blob, App Services, etc.) (Bonus) Integrate with MongoDB and support document workflows

As a Senior Python Developer (Backend) in this role, your main objectives will include delivering working software according to specifications, providing clarity on the progress of development work, assisting team members by sharing knowledge and coaching, and suggesting process improvements with regard to team collaboration. To be successful in this role, you should have a Bachelor's degree in software engineering or a similar field, along with at least 5 years of development experience with Python programming. You should also have experience in setting up CI/CD workflows, drafting solution architecture, and possess excellent written and verbal communication skills in English. Your expertise and experience should include understanding applications architecture built on AWS, Python, React/MongoDB technological stack, proven Python skills with modules such as Flask and FastAPI, building high-load applications in AWS Cloud in micro-service architecture, and developing commercial software in the financial domain. Additionally, you should be proficient in working with legacy code, MongoDB or other NoSQL skills, creating and automating testing (pytest), using containers (Docker), Linux-based development environments, Github, CI/CD, and the Atlassian stack (JIRA/Confluence). Experience in integration with ERP, CRM, SAP, building financial systems, and knowledge of enterprise economics would be advantageous. Key processes that you will be involved in include working in a Scrum/Agile manner, practicing TDD/BDD, and utilizing CI/CD methodologies.,

Roles And Responsibilities Write effective, scalable code Develop back-end components to improve responsiveness and overall performance Integrate user-facing elements into applications Test and debug programs Improve functionality of existing systems Implement security and data protection solutions Assess and prioritize feature requests Coordinate with internal teams to understand user requirements and provide technical and Experience Product start-up preferred 1.5 to 5+ years experience in a primary role Mobile/Web application development (both preferred) Good software design thinking Bachelors degree in computer science, computer engineering or similar. Excellent project management skills. Proven experience implementing front-end and back-end JavaScript applications. Excellent communication skills. Critical thinker and good : 23 years of professional experience in Python development Strong understanding of programming concepts and best practices Proven experience in FastAPI or similar web frameworks Experience in deploying and maintaining REST APIs in production environments Familiarity with MySQL / PostgreSQL Any experience with Document Processing and ML frameworks in Python is a huge plus Experience with Git, CI/CD, and cloud platforms (AWS/Azure) is an advantage Knowledge of Java / Spring Boot is a plus Excellent verbal & written communication : Any Degree or Diploma (any B.E. / B.Tech. / M.E. / M.Tech. / B.Sc. / M.Sc. / B.I.T. / M.I.T. / B.C.A. / M.C.A. / B.S. / M.S. or Engineering Diploma from any University or College in India or abroad) preferred but not mandatory. A good understanding of the fundamentals of Computer Science matters more than any formal qualification or academic background. (ref:hirist.tech)

Role : Python Developer Experience : 5 - 8 Years Employment : [Full-Time / Contract] Notice Period : [Immediate / the Role : Backend Development We're looking for a talented and experienced Python Developer to join our team. In this role, you'll be instrumental in designing, developing, and maintaining robust and scalable backend systems, with a strong focus on web frameworks, APIs, and cloud-native solutions. If you have a passion for building high-performance applications, solid database skills, and expertise in travel-specific technologies, we encourage you to Responsibilities : Design, develop, and maintain high-quality backend applications and services using Python frameworks like Django, Flask, and FastAPI. Implement and manage RESTful APIs and GraphQL endpoints. Utilize asynchronous programming techniques for efficient and scalable & Data Management : Work extensively with SQL/NoSQL databases (e.g., PostgreSQL, MongoDB) to design schemas, write complex queries, and ensure data integrity. Gain experience with big data tools (e.g., Spark, Kafka) for processing and managing large & DevOps : Deploy and manage applications on cloud platforms (AWS, Azure, Google Cloud). Utilize containerization technologies (Docker, Kubernetes) for application deployment and orchestration. Implement and maintain CI/CD pipelines using tools like Jenkins, GitLab & Testing : Ensure the quality and reliability of code through unit and integration testing using tools such as PyTest and Selenium. Apply code quality analysis with tools like SonarQube. Expertise (Travel) : Leverage expertise in travel APIs, complex booking flows, and various payment gateway & Problem Solving : Collaborate with cross-functional teams, including front-end developers, product managers, and QA engineers, to deliver comprehensive solutions. Possess strong analytical and problem-solving skills to tackle complex technical : Education: Bachelors or Masters degree in Computer Science, Engineering, or a related Expertise : At least 3 years of hands-on experience with Python frameworks like Django, Flask, and FastAPI. (For a 5-8 year role, this implies significant depth beyond the 3-year minimum). Proficiency in RESTful APIs, GraphQL, and asynchronous programming. Strong knowledge of SQL/NoSQL databases (PostgreSQL, MongoDB) and exposure to big data tools (e.g., Spark, Kafka). Experience with cloud platforms (AWS, Azure, Google Cloud), containerization (Docker, Kubernetes), and CI/CD tools (e.g., Jenkins, GitLab CI). Familiarity with testing tools such as PyTest, Selenium, and SonarQube. Expertise in travel APIs, booking flows, and payment gateway integrations (ref:hirist.tech)

You are a highly motivated and technically strong Data Scientist / MLOps Engineer with 13 years of experience, looking to join our growing AI & ML team in Kolkata. Your role will involve designing, developing, and deploying scalable machine learning solutions with a focus on operational excellence, data engineering, and GenAI integration. Your key responsibilities will include building and maintaining scalable machine learning pipelines using Python, deploying and monitoring models using MLFlow and MLOps stacks, designing and implementing data workflows with PySpark, and leveraging standard data science libraries for model development. You will also work with GenAI technologies such as Azure OpenAI and collaborate with cross-functional teams to meet business objectives. To excel in this role, you must have expertise in Python for data science and backend development, solid experience with PostgreSQL and MSSQL databases, hands-on experience with data science packages like Scikit-Learn, Pandas, Numpy, and Matplotlib, as well as experience with Databricks, MLFlow, and Azure. A strong understanding of MLOps frameworks and deployment automation is essential, along with prior exposure to FastAPI and GenAI tools like Langchain or Azure OpenAI. Preferred qualifications include experience in the Finance, Legal, or Regulatory domain, working knowledge of clustering algorithms and forecasting techniques, and previous experience in developing reusable AI frameworks or productized ML solutions. You should hold a B.Tech in Computer Science, Data Science, Mechanical Engineering, or a related field. By joining us, you will work on cutting-edge ML and GenAI projects, be part of a collaborative and forward-thinking team, and have opportunities for rapid growth and technical leadership. This is a full-time position based in Kolkata, with benefits including leave encashment, paid sick time, paid time off, Provident Fund, and work from home options. If you meet the required qualifications and are excited about the prospect of working in a dynamic AI & ML environment, we encourage you to apply before the application deadline of 02/08/2025. The expected start date for this position is 04/08/2025.,

As a Python Backend Developer with 4-5 years of professional experience, you will be an integral part of our development team. Your primary responsibility will be designing, developing, and maintaining robust backend systems to support our applications and services. Your expertise in Python, modern web frameworks, and database management will play a key role in the success of our projects. Key Responsibilities Develop and Maintain Backend Systems: - Design, implement, and maintain scalable and efficient backend services using Python. - Develop RESTful APIs and integrate third-party services. Database Management: - Design and optimize database schemas (SQL and NoSQL). - Ensure data integrity, performance, and security. Collaboration: - Work closely with frontend developers, UX/UI designers, and product managers to deliver high-quality products. - Participate in code reviews, providing and receiving constructive feedback. Performance Optimization: - Identify and resolve performance bottlenecks. - Implement best practices for code optimization and scalability. Testing and Debugging: - Write unit and integration tests to ensure code quality. - Troubleshoot and debug applications to resolve issues promptly. Documentation: - Document code, APIs, and system architecture. - Maintain clear and concise technical documentation. Continuous Improvement: - Stay updated with the latest industry trends and technologies. - Suggest and implement improvements to development processes and tools. Required Qualifications Education: - Bachelors degree in Computer Science, Engineering, or a related field. Experience: - 4-5 years of professional experience in backend development using Python. Technical Skills: - Proficiency in Python and its web frameworks (e.g., Django, Flask, FastAPI). - Strong understanding of RESTful API design principles. - Experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis). - Familiarity with ORM libraries (e.g., SQLAlchemy, Django ORM). - Knowledge of version control systems, particularly Git. - Knowledge of Queuing tools like Celery, Flower, RabbitMQ. - Understanding of containerization and orchestration tools (e.g., Docker, Kubernetes). Soft Skills: - Excellent problem-solving abilities. - Strong communication and teamwork skills. - Ability to work independently and manage time effectively. This is a full-time, permanent position with benefits including health insurance and work from home option. The work schedule is Monday to Friday with morning shifts and weekend availability. The work location is in person. If you are interested in this opportunity, please speak with the employer at +91 8287006019.,

We are looking for an experienced Python Developer skilled in developing scalable microservices architectures using FastAPI, Flask, and Django. If you have a strong background in containerization, API design, development, and integration, as well as unit testing, we invite you to apply. Your passion for building efficient, reliable, and maintainable software systems is what we value the most. As a Python Developer, your responsibilities will include designing, developing, and deploying microservices-based systems using FastAPI, Flask, and Django. You will create and integrate RESTful APIs with a focus on performance, security, and scalability. Containerizing applications using Docker, managing container orchestration, writing comprehensive unit tests, and collaborating with cross-functional teams to prioritize project requirements are essential aspects of this role. Additionally, participating in code reviews and staying updated with industry trends and emerging technologies will be part of your routine. Requirements for this position include at least 7 years of Python development experience with a focus on web development. You should have a strong knowledge of core Python (3.10+), proficiency in both SQL and NoSQL databases, and experience in data modeling, ORM, routing, and class-based development. Expertise in FastAPI, Flask, or Django frameworks, along with familiarity with microservices, containerization, API design principles, and RESTful API development are crucial. Proficiency in unit testing frameworks, familiarity with Agile methodologies, excellent problem-solving skills, and strong communication and teamwork abilities are also required. Nice to have skills include experience with cloud platforms such as AWS, Azure, or Google Cloud, knowledge of CI/CD pipelines and tools like Jenkins, GitLab CI/CD, or GitHub Actions, familiarity with front-end technologies like React or Angular, and experience with monitoring and logging tools. In return, we offer a competitive salary and benefits package, challenging projects with cutting-edge technologies, a collaborative and dynamic work environment, professional growth and development opportunities, as well as flexible working hours and remote work options. If you are a motivated Python Developer seeking to advance your skills, please submit your application, resume, and cover letter to the provided contact information.,

As a Senior Python Engineer at our company, you will leverage your deep expertise in data engineering and API development to drive technical excellence and autonomy. Your primary responsibility will be leading the development of scalable backend systems and data infrastructure that power AI-driven applications across our platform. You will design, develop, and maintain high-performance APIs and microservices using Python frameworks such as FastAPI and Flask. Additionally, you will build and optimize scalable data pipelines, ETL/ELT processes, and orchestration frameworks, ensuring the utilization of AI development tools like GitHub Copilot, Cursor, or CodeWhisperer to enhance engineering velocity and code quality. In this role, you will architect resilient and modular backend systems integrated with databases like PostgreSQL, MongoDB, and Elasticsearch. Managing workflows and event-driven architectures using tools such as Airflow, Dagster, or Temporal.io will be essential, as you collaborate with cross-functional teams to deliver production-grade systems in cloud environments (AWS/GCP/Azure) with high test coverage, observability, and reliability. To be successful in this position, you must have at least 5 years of hands-on experience in Python backend/API development, a strong background in data engineering, and proficiency in AI-enhanced development environments like Copilot, Cursor, or equivalent tools. Solid experience with Elasticsearch, PostgreSQL, and scalable data solutions, along with familiarity with Docker, CI/CD, and cloud-native deployment practices is crucial. You should also demonstrate the ability to take ownership of features from idea to production. Nice-to-have qualifications include experience with distributed workflow engines like Temporal.io, background in AI/ML systems (PyTorch or TensorFlow), familiarity with LangChain, LLMs, and vector search tools (e.g., FAISS, Pinecone), and exposure to weak supervision, semantic search, or agentic AI workflows. Join us to build infrastructure for cutting-edge AI products and work in a collaborative, high-caliber engineering environment.,

As a Junior Python Developer based in Mumbai, you will be an integral part of our team, contributing to the development and enhancement of software solutions. Your expertise in Python and various development aspects will be key in ensuring the efficiency and scalability of our applications. You will work closely with cross-functional teams to implement best development practices and deliver high-quality code. Your responsibilities will include backend development utilizing Python frameworks like Django, Flask, or FastAPI. Additionally, you will engage in frontend development activities using technologies such as HTML, CSS, JavaScript, React, Angular, or Vue.js. Embracing full-stack development, you will integrate both frontend and backend components to create cohesive applications. Designing, implementing, and optimizing RESTful APIs and third-party integrations will also be part of your role. Database management (SQL and NoSQL) will be essential for efficient data storage and retrieval. Ensuring software security, performance, and scalability are maintained throughout the development process will be a top priority. You will be involved in debugging, troubleshooting, and optimizing existing applications, as well as writing unit tests and participating in code reviews. Staying updated with the latest Python technologies and industry trends will be encouraged to enhance your skill set. To excel in this role, you should possess a strong command of Python and its frameworks, along with frontend technologies and database management systems. Familiarity with cloud services and version control systems will be advantageous. Knowledge of software development methodologies, problem-solving skills, and effective communication abilities are essential for success in this position. A degree in Computer Science, Software Engineering, or a related field would be beneficial. Experience with containerization, orchestration, machine learning, data science, or automation tools will be considered advantageous. Join us in our quest to develop innovative solutions and make a meaningful impact in the industry.,

As a Senior Python Developer, you will be leading Python development teams on enterprise-grade projects. Your responsibilities will include owning and driving architectural decisions and ensuring code quality. You will conduct design and code reviews to guarantee adherence to best practices. In terms of backend development, you will be tasked with building and maintaining robust, scalable backend services using Python frameworks such as Django, FastAPI, and Flask. Your role will involve designing APIs, background workers, and data pipelines. A crucial aspect of your position will be team mentoring. You will mentor and guide junior and mid-level developers, providing them with training, performance feedback, and career guidance. Regarding DevOps and Deployment, you will collaborate with DevOps to define CI/CD pipelines and deployment strategies. Additionally, you will work on containerization using Docker and orchestration with Kubernetes. In your interactions with clients and stakeholders, you will be expected to translate business requirements into technical solutions. You will also participate in client calls for requirement gathering, demos, and feedback sessions. To excel in this role, you should have at least 7 years of Python development experience. You must demonstrate a strong command over frameworks like Django, FastAPI, and Flask, as well as proven experience in API development and integration (REST, GraphQL). Experience with relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases is essential. A solid understanding of system architecture, design patterns, and scalability is required, along with familiarity with asynchronous programming (e.g., Celery, asyncio) and tools like Docker, Git, and CI/CD pipelines. Exposure to cloud platforms (AWS/GCP/Azure) and knowledge of security best practices (OWASP, data protection) are also expected. Preferred skills for this role include experience with AI/ML pipelines, data engineering, or microservices, as well as prior experience in leading Agile/Scrum teams. Familiarity with front-end technologies (React/Angular) is a plus, along with contributions to open-source projects or technical blogs. Soft skills that will benefit you in this position include strong problem-solving and decision-making abilities, excellent communication and stakeholder management skills, and the ability to multitask and manage priorities in a fast-paced environment. A team-oriented approach with a proactive and collaborative mindset is highly valued.,

🧠 Job Title: Engineering Manager Company: Darwix AI Location: Gurgaon (On-site) Type: Full-Time Experience Required: 7–12 Years Compensation: Competitive salary + ESOPs + Performance-based bonuses 🌐 About Darwix AI Darwix AI is one of India’s fastest-growing AI-first startups, building next-gen conversational intelligence and real-time agent assist tools for sales teams globally. We’re transforming how enterprise sales happens across industries like BFSI, real estate, retail, and telecom with a GenAI-powered platform that combines multilingual transcription, NLP, real-time nudges, knowledge base integration, and performance analytics—all in one. Our clients include some of the biggest names in India, MENA, and SEA. We’re backed by marquee venture capitalists, 30+ angel investors, and operators from top AI, SaaS, and B2B companies. Our founding team comes from IITs, IIMs, BITS Pilani, and global enterprise AI firms. Now, we’re looking for a high-caliber Engineering Manager to help lead the next phase of our engineering evolution. If you’ve ever wanted to build and scale real-world AI systems for global use cases—this is your shot. 🎯 Role Overview As Engineering Manager at Darwix AI, you will be responsible for leading and managing a high-performing team of backend, frontend, and DevOps engineers. You will directly oversee the design, development, testing, and deployment of new features and system enhancements across Darwix’s AI-powered product suite. This is a hands-on technical leadership role , requiring the ability to code when needed, conduct architecture reviews, resolve blockers, and manage the overall engineering execution. You’ll work closely with product managers, data scientists, QA teams, and the founders to deliver on roadmap priorities with speed and precision. You’ll also be responsible for building team culture, mentoring developers, improving engineering processes, and helping the organization scale its tech platform and engineering capacity. 🔧 Key Responsibilities1. Team Leadership & Delivery Lead a team of 6–12 software engineers (across Python, PHP, frontend, and DevOps). Own sprint planning, execution, review, and release cycles. Ensure timely and high-quality delivery of key product features and platform improvements. Solve execution bottlenecks and ensure clarity across JIRA boards, product documentation, and sprint reviews. 2. Architecture & Technical Oversight Review and refine high-level and low-level designs proposed by the team. Provide guidance on scalable architectures, microservices design, performance tuning, and database optimization. Drive migration of legacy PHP code into scalable Python-based microservices. Maintain technical excellence across deployments, containerization, CI/CD, and codebase quality. 3. Hiring, Coaching & Career Development Own the hiring and onboarding process for engineers in your pod. Coach team members through 1:1s, OKRs, performance cycles, and continuous feedback. Foster a culture of ownership, transparency, and high-velocity delivery. 4. Process Design & Automation Drive adoption of agile development practices—daily stand-ups, retrospectives, sprint planning, documentation. Ensure production-grade observability, incident tracking, root cause analysis, and rollback strategies. Introduce quality metrics like test coverage, code review velocity, time-to-deploy, bug frequency, etc. 5. Cross-functional Collaboration Work closely with the product team to translate high-level product requirements into granular engineering plans. Liaise with QA, AI/ML, Data, and Infra teams to coordinate implementation across the board. Collaborate with customer success and client engineering for debugging and field escalations. 🔍 Technical Skills & Stack🔹 Primary Languages & Frameworks Python (FastAPI, Flask, Django) PHP (legacy services; transitioning to Python) TypeScript, JavaScript, HTML5, CSS3 Mustache templates (preferred), React/Next.js (optional) 🔹 Databases & Storage: MySQL (primary), PostgreSQL MongoDB, Redis Vector DBs: Pinecone, FAISS, Weaviate (RAG pipelines) 🔹 AI/ML Integration: OpenAI APIs, Whisper, Wav2Vec, Deepgram Langchain, HuggingFace, LlamaIndex, LangGraph 🔹 DevOps & Infra: AWS EC2, S3, Lambda, CloudWatch Docker, GitHub Actions, Nginx Git (GitHub/GitLab), Jenkins (optional) 🔹 Monitoring & Testing: Prometheus, Grafana, Sentry PyTest, Selenium, Postman ✅ Candidate Profile👨💻 Experience 7–12 years of total engineering experience in high-growth product companies or startups. At least 2 years of experience managing teams as a tech lead or engineering manager. Experience working on real-time data systems, microservices architecture, and SaaS platforms. 🎓 Education: Bachelor’s or Master’s degree in Computer Science or related field. Preferred background from Tier 1 institutions (IITs, BITS, NITs, IIITs). 💼 Traits We Love: You lead with clarity, ownership, and high attention to detail. You believe in building systems—not just shipping features. You are pragmatic and prioritize team delivery velocity over theoretical perfection. You obsess over latency, clean interfaces, and secure deployments. You want to build a high-performing tech org that scales globally. 🌟 What You’ll Get Leadership role in one of India’s top GenAI startups Competitive fixed compensation with performance bonuses Significant ESOPs tied to company milestones Transparent performance evaluation and promotion framework A high-speed environment where builders thrive Access to investor and client demos, roadshows, GTM huddles, and more Annual learning allowance and access to internal AI/ML bootcamps Founding-team-level visibility in engineering decisions and product innovation 🛠️ Projects You’ll Work On Real-time speech-to-text engine in 11 Indian languages AI-powered live nudges and agent assistance in B2B sales Conversation summarization and analytics for 100,000+ minutes/month Automated call scoring and custom AI model integration Multimodal input processing: audio, text, CRM, chat Custom knowledge graph integrations across BFSI, real estate, retail 📢 Why This Role Matters This is not just an Engineering Manager role. At Darwix AI, every engineering decision feeds directly into how real sales teams close deals. You’ll see your work powering real-time customer calls, nudging field reps in remote towns, helping CXOs make hiring decisions, and making a measurable impact on enterprise revenue. You’ll help shape the core technology platform of a company that’s redefining how humans and machines interact in sales. 📩 How to Apply Email your resume, GitHub/portfolio (if any), and a few lines on why this role excites you to: 📧 people@darwix.ai Subject: Application – Engineering Manager – [Your Name] If you’re a technical leader who thrives on velocity, takes pride in mentoring developers, and wants to ship mission-critical AI systems that power revenue growth across industries, this is your stage . Join Darwix AI. Let’s build something that lasts.

As a Backend Python Developer at Tredence, you will be a key player in the design, development, and maintenance of robust and scalable backend services and APIs using FastAPI. With 3-4 years of professional experience in backend development, you will collaborate closely with frontend developers, DevOps, and product teams to ensure the optimization of application performance and scalability. Your responsibilities will include designing, building, and maintaining APIs, working with databases, and implementing best practices for security and data protection. Additionally, you will write and maintain technical documentation for the services you develop. To excel in this role, you should possess strong hands-on experience with FastAPI in production environments, proficiency in designing and consuming RESTful APIs, and experience with databases like PostgreSQL, MySQL, or MongoDB. Familiarity with Git, Docker, and CI/CD pipelines is essential, along with the ability to write clean, maintainable, and efficient code. Good problem-solving skills and attention to detail are crucial for success in this position. It would be advantageous to have experience with Redis, Celery, or background task queues, exposure to cloud platforms like AWS or GCP, and knowledge of technologies such as GraphQL, WebSockets, or microservices architecture. A background in container orchestration tools like Kubernetes would also be beneficial. If you are passionate about backend development, have a Bachelor's degree in Computer Science or related field, and are looking to join a dynamic team dedicated to transforming data into actionable insights, Tredence welcomes you to be part of our innovative journey. Join us in shaping the future of analytics and making a significant impact in the industry.,

You should have an insatiable itch to join and the courage to scale an early-stage technology company. With 4-6 years of experience, you should be adept at designing and building modern-day web platforms using Python on the backend and React on the front end. Whether you are a generalist or a specialist, you must possess a deep understanding of building software components that meet defined requirements, with a good grasp of Python (Flask/FastAPI) or React. Proficiency in data structures, algorithms, and object-oriented analysis and design of software systems is essential. If you are a backend specialist, you should have a solid understanding of event-driven programming, distributed systems, caching/in-memory computing systems, and data modeling for transactional systems. Alternatively, if you specialize in frontend development, you must have a deep understanding of browser and JavaScript fundamentals, along with experience in designing, building, packaging, and deploying applications using the React framework. The location for this position is Trivandrum. Please note that as part of our interview process, we conduct an initial shortlisting to identify candidates who closely match our requirements. While we aim to notify all applicants about their status, if you do not receive a response from us, please understand that your profile has not been shortlisted at this time.,

Backend Developer (Python – Flask/Django 1-2 Years Experience ) 📍 Vishakhapatnam (Remote) | 🏥 BookMyDoctor India | 📄 Contract / Equity-Based 🏥 About BookMyDoctor BookMyDoctor India is a next-gen, AI-powered healthcare platform focused on improving hospital and doctor accessibility in Tier-2 and Tier-3 cities. We're building voice-based appointment booking, smart AI search, and online consultations into a seamless digital experience for patients and hospitals. We're backed by FoundingTeams.ai and are assembling a driven tech team to launch our MVP and scale fast. Role: Backend Developer (Python – Flask/Django Preferred) We are looking for a motivated backend developer to join our founding tech team. You'll work closely with our UI/UX designer and frontend developers to build scalable backend logic, APIs, and healthcare data systems. Key Responsibilities Develop & maintain RESTful APIs for patient booking, hospital dashboards, and admin panel Manage authentication flows (login, register) for both doctors and patients Design database schema for doctor profiles, slots, appointments, feedback, and payments Integrate external APIs (payment gateways , WhatsApp, Zoom/Jitsi for video consults) Ensure backend is secure, modular, and scalable for future expansion Collaborate with frontend team to ensure smooth API consumption and versioning Write clean, well-documented code and perform unit testing. Tech Stack Languages: Python 2+ Frameworks: Django / FastAPI (preferred) Database: PostgreSQL / MongoDb Tools: Git, GitHub, Postman, Docker (optional), JWT Auth API Integration: Razorpay, WhatsApp API (Twilio), Zoom/Jitsi, Google Maps Requirements 1–2 years of backend development experience Strong understanding of REST API principles Experience in at least one Python web framework (Flask, Django, FastAPI) Familiarity with API documentation tools (Swagger, Postman) Comfortable working with JSON, third-party APIs, and integrations Bonus: Experience with chatbot backend logic or AI microservices 💰 Compensation & Perks performance-based stipend , (if opted) - Equity-based role (0.5–3%) Mentorship, Letter of Recommendation, and option to become Founding Engineer Flexible hours & remote-first team Real impact – build tech that solves real healthcare gaps Why Join BookMyDoctor? Work directly with the founder & product team Real healthcare impact — build tech that saves lives Future opportunities in leadership as we scale Fully remote, flexible work environment 📬 Apply Now If you're passionate about building real tech that creates change, apply by sending: Your CV / Resume GitHub / Portfolio links Any side projects or APIs you’ve built 📧 Email: info@bookmydoctorindia.com 🔗 LinkedIn: BookMyDoctor India

Job Description: Senior MLOps Engineer Position: Senior MLOps Engineer Location: Gurugram Relevant Experience Required: 6+ years Employment Type: Full-time About The Role We are seeking a Senior MLOps Engineer with deep expertise in Machine Learning Operations, Data Engineering, and Cloud-Native Deployments . This role requires building and maintaining scalable ML pipelines , ensuring robust data integration and orchestration , and enabling real-time and batch AI systems in production. The ideal candidate will be skilled in state-of-the-art MLOps tools , data clustering , big data frameworks , and DevOps best practices , ensuring high reliability, performance, and security for enterprise AI workloads. Key Responsibilities MLOps & Machine Learning Deployment Design, implement, and maintain end-to-end ML pipelines from experimentation to production. Automate model training, evaluation, versioning, deployment, and monitoring using MLOps frameworks. Implement CI/CD pipelines for ML models (GitHub Actions, GitLab CI, Jenkins, ArgoCD). Monitor ML systems in production for drift detection, bias, performance degradation, and anomaly detection. Integrate feature stores (Feast, Tecton, Vertex AI Feature Store) for standardized model inputs. Data Engineering & Integration Design and implement data ingestion pipelines for structured, semi-structured, and unstructured data. Handle batch and streaming pipelines with Apache Kafka, Apache Spark, Apache Flink, Airflow, or Dagster. Build ETL/ELT pipelines for data preprocessing, cleaning, and transformation. Implement data clustering, partitioning, and sharding strategies for high availability and scalability. Work with data warehouses (Snowflake, BigQuery, Redshift) and data lakes (Delta Lake, Lakehouse architectures). Ensure data lineage, governance, and compliance with modern tools (DataHub, Amundsen, Great Expectations). Cloud & Infrastructure Deploy ML workloads on AWS, Azure, or GCP using Kubernetes (K8s) and serverless computing (AWS Lambda, GCP Cloud Run). Manage containerized ML environments with Docker, Helm, Kubeflow, MLflow, Metaflow. Optimize for cost, latency, and scalability across distributed environments. Implement infrastructure as code (IaC) with Terraform or Pulumi. Real-Time ML & Advanced Capabilities Build real-time inference pipelines with low latency using gRPC, Triton Inference Server, or Ray Serve. Work on vector database integrations (Pinecone, Milvus, Weaviate, Chroma) for AI-powered semantic search. Enable retrieval-augmented generation (RAG) pipelines for LLMs. Optimize ML serving with GPU/TPU acceleration and ONNX/TensorRT model optimization. Security, Monitoring & Observability Implement robust access control, encryption, and compliance with SOC2/GDPR/ISO27001. Monitor system health with Prometheus, Grafana, ELK/EFK, and OpenTelemetry. Ensure zero-downtime deployments with blue-green/canary release strategies. Manage audit trails and explainability for ML models. Preferred Skills & Qualifications Core Technical Skills Programming: Python (Pandas, PySpark, FastAPI), SQL, Bash; familiarity with Go or Scala a plus. MLOps Frameworks: MLflow, Kubeflow, Metaflow, TFX, BentoML, DVC. Data Engineering Tools: Apache Spark, Flink, Kafka, Airflow, Dagster, dbt. Databases: PostgreSQL, MySQL, MongoDB, Cassandra, DynamoDB. Vector Databases: Pinecone, Weaviate, Milvus, Chroma. Visualization: Plotly Dash, Superset, Grafana. Tech Stack Orchestration: Kubernetes, Helm, Argo Workflows, Prefect. Infrastructure as Code: Terraform, Pulumi, Ansible. Cloud Platforms: AWS (SageMaker, S3, EKS), GCP (Vertex AI, BigQuery, GKE), Azure (ML Studio, AKS). Model Optimization: ONNX, TensorRT, Hugging Face Optimum. Streaming & Real-Time ML: Kafka, Flink, Ray, Redis Streams. Monitoring & Logging: Prometheus, Grafana, ELK, OpenTelemetry.

About the Role We are looking for a Senior AI Engineer to join our AI Platform team and play a critical role in designing, developing, and scaling next-generation AI-driven applications . You will work on Generative AI (GenAI), Agentic AI systems, AI-driven workflows, and intelligent automation , bringing together LLMs, RAG (Retrieval-Augmented Generation), embeddings, and model refinement techniques into production-ready solutions. This is a hands-on role that combines AI/ML expertise, software engineering skills, and product thinking to deliver intelligent enterprise applications. Key Responsibilities AI Application Development Design and build end-to-end AI applications , including prompt engineering, chaining, and orchestration. Implement agentic AI systems that can reason, plan, and execute workflows. Integrate AI with existing enterprise workflows and systems. LLMs and RAG Pipelines Develop RAG pipelines (embedding, vector search, retrieval) for contextual, domain-specific AI applications. Work with LLM APIs and open-source models (OpenAI, Anthropic, Llama, etc.) , and fine-tune or adapt models to domain requirements. Optimize context injection, prompt construction, and multi-turn conversational flows. Model Evaluation & Refinement Continuously evaluate AI model outputs and refine performance through prompt tuning, fine-tuning, and RLHF or similar techniques. Establish automated pipelines for model monitoring, feedback collection, and iterative improvements . Platform & Engineering Work with vector databases (pgvector, Pinecone, Weaviate, etc.), knowledge graphs, and embeddings at scale. Build API endpoints and microservices that expose AI capabilities in a scalable, production-grade manner. Ensure observability, logging, versioning, and A/B testing for AI services. Collaboration Collaborate with product managers, data engineers, and software engineers to define AI-driven features. Stay current with emerging trends in AI/ML, LLM architectures, and multi-agent systems . Required Skills and Qualifications Core Expertise Minimum 5+ years of experience in AI/ML engineering with a focus on applied AI solutions. Hands-on experience with LLMs (OpenAI, Anthropic, Hugging Face, etc.) and prompt engineering. Strong experience building RAG pipelines with embeddings and vector search . Software Engineering Proficiency in Python (FastAPI/Flask), or Java/Spring Boot for AI service development . Knowledge of microservices, APIs, and cloud-native architectures (AWS/GCP/Azure) . Data & Vector Systems Familiarity with pgvector, Pinecone, Weaviate, Milvus, or similar vector databases . Experience with data preprocessing, cleaning, and knowledge management for AI applications. AI Ops & Lifecycle Strong understanding of MLOps/LLMOps principles : model deployment, monitoring, retraining, and lifecycle management. Ability to evaluate AI outputs and incorporate feedback loops for model improvement. Soft Skills Problem-solving, analytical thinking, and a passion for innovation. Excellent communication and collaboration skills. Preferred Qualifications Experience building agentic AI systems or autonomous multi-agent workflows . Exposure to knowledge graphs and reasoning systems . Background in NLP, transformers, embeddings, and vector similarity search . Contributions to open-source AI/ML projects . Education Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field. What We Offer Opportunity to build an AI platform from the ground up , shaping the future of enterprise AI. Work with cutting-edge AI technologies and research. Competitive compensation and benefits. A collaborative environment that values innovation and experimentation.

Role & responsibilities Experience: 3-5 years Primary Role: Work across the Angular frontend and FastAPI backend to wire up report endpoints, build download/export workflows, and integrate with WeasyPrint or JasperReports. Core Skills Required: * Frontend (Angular): Angular v12+, TypeScript, RxJS, Angular Material * Backend (FastAPI): Python 3.10+, FastAPI, Pydantic, RESTful APIs, Springboot Java * Templating: Jinja2, HTML/CSS basics * PDF Generation: Familiar with JasperReport Library * Auth & Traceability: Handle headers, tokens, and `trace_id` * DevOps Awareness: Docker, containerized dev environments * Testing: Basic Pytest and optionally Angular test cases * Deployment Ready: Understanding of environment config and logging Soft Skills: * Comfortable context-switching between UI and backend * Able to collaborate with report developers and QA * Clear understanding of parameter flow from UI API PDF

Company Description MXICODERS INC is a company where innovation meets opportunity. Our mission is to empower businesses with cutting-edge digital capabilities, enabling growth in a rapidly evolving technological landscape. We specialize in transforming complexity into opportunity, fostering a culture of innovation and adaptability. Join us on this journey to redefine industry standards and turn visionary ideas into reality. Connect with us on LinkedIn to be a part of our community shaping the future. Role Description Data Engineer / AI/ML Minimum Requirements Essential Technical Skills AI/ML (Required) 2+ years hands-on experience with LLM APIs (OpenAI, Anthropic, or similar) Production deployment of at least one AI system that's currently running in production LLM framework experience with LangChain, CrewAI, or AutoGen (any one is sufficient) Function calling/tool use - ability to build AI systems that can call external APIs and functions Basic prompt engineering - understanding of techniques like Chain-of-Thought and ReAct patterns Python Development (Required) 3+ years Python development with strong fundamentals API development using Flask or FastAPI with proper error handling Async programming - understanding of async/await patterns for concurrent operations Database integration - working with PostgreSQL, MySQL, or similar relational databases JSON/REST APIs - consuming and building REST services Production Systems (Required) 2+ years building production software that serves real users Error handling and logging - building robust systems that handle failures gracefully Basic cloud deployment - experience with AWS, Azure, or GCP (any one platform) Git/version control - collaborative development using Git workflows Testing fundamentals - unit testing and integration testing practices Business Process (Basic Required) User requirements - ability to translate business needs into technical solutions Data quality - recognizing and handling dirty/inconsistent data Exception handling - designing workflows for edge cases and errors Professional Experience (Minimum) Software Engineering 3+ years total software development experience 1+ production AI project - any AI/ML system deployed to production (even simple ones) Cross-functional collaboration - worked with non-technical stakeholders Problem-solving - demonstrated ability to debug and resolve complex technical issues Communication & Collaboration Technical documentation - ability to write clear technical docs and code comments Stakeholder communication - explain technical concepts to business users Independent work - ability to work autonomously with minimal supervision Learning agility - quickly pick up new technologies and frameworks Educational Background (Any One) Formal Education Bachelor's degree in Computer Science, Engineering, or related technical field OR equivalent experience - demonstrable technical skills through projects/work Alternative Paths Coding bootcamp + 2+ years professional development experience Self-taught with strong portfolio of production projects Technical certifications (AWS, Google Cloud, etc.) + relevant experience [nice to have] Demonstrable Skills (Portfolio Requirements) Must Show Evidence Of One working AI application - GitHub repo or live demo of LLM integration Python projects - code samples showing API development and data processing Production deployment - any application currently running and serving users Problem-solving ability - examples of debugging complex issues or optimizing performance Nice to Have (Not Required) Financial services or fintech experience Vector databases (Pinecone, Weaviate) experience Docker/containerization knowledge Advanced ML/AI education or certifications Qualifications Strong understanding of Machine Learning, Deep Learning, and Natural Language Processing techniques Experience with programming languages such as Python, R, or similar languages Proficiency in frameworks like TensorFlow, PyTorch, or Keras Data preprocessing and analysis skills Strong problem-solving skills and ability to work in a collaborative environment Excellent written and verbal communication skills Experience in blockchain technology and applications is a plus Master’s or Ph.D. degree in Computer Science, Statistics, Mathematics, or a related field

Location: Hybrid/ Remote Type: Contract / Full‑Time Experience: 5+ Years Qualification: Bachelor’s or Master’s in Computer Science or a related technical field Responsibilities Architect & implement the RAG pipeline: embeddings ingestion, vector search (MongoDB Atlas or similar), and context-aware chat generation. Design and build Python‑based services (FastAPI) for generating and updating embeddings. Host and apply LoRA/QLoRA adapters for per‑user fine‑tuning. Automate data pipelines to ingest daily user logs, chunk text, and upsert embeddings into the vector store. Develop Node.js/Express APIs that orchestrate embedding, retrieval, and LLM inference for real‑time chat. Manage vector index lifecycle and similarity metrics (cosine/dot‑product). Deploy and optimize on AWS (Lambda, EC2, SageMaker), containerization (Docker), and monitoring for latency, costs, and error rates. Collaborate with frontend engineers to define API contracts and demo endpoints. Document architecture diagrams, API specifications, and runbooks for future team onboarding. Required Skills Strong Python expertise (FastAPI, async programming). Proficiency with Node.js and Express for API development. Experience with vector databases (MongoDB Atlas Vector Search, Pinecone, Weaviate) and similarity search. Familiarity with OpenAI’s APIs (embeddings, chat completions). Hands‑on with parameters‑efficient fine‑tuning (LoRA, QLoRA, PEFT/Hugging Face). Knowledge of LLM hosting best practices on AWS (EC2, Lambda, SageMaker). Containerization Skills (Docker) Good understanding of RAG architectures, prompt design, and memory management. Strong Git workflow and collaborative development practices (GitHub, CI/CD). Nice‑to‑Have Experience with Llama family models or other open‑source LLMs. Familiarity with MongoDB Atlas free tier and cluster management. Background in data engineering for streaming or batch processing. Knowledge of monitoring & observability tools (Prometheus, Grafana, CloudWatch). Frontend skills in React to prototype demo UIs. Skills:- Artificial Intelligence (AI), Generative AI, Python, NodeJS (Node.js), Vector database, Amazon Web Services (AWS), Docker, Retrieval Augmented Generation (RAG) and CI/CD

We are a research-driven IT company specializing in artificial intelligence, cloud computing, software development, cybersecurity, enterprise solutions, IoT, and automation. We’re looking for talented Full Stack Developers, each bringing deep expertise in one of the major frontend frameworks. Core Responsibilities Design and develop scalable web applications using React.js and modern JavaScript frameworks Build robust backend services and APIs to support React applications Collaborate with AI, automation, and ERP teams to deliver integrated enterprise solutions Participate in the complete software development lifecycle from planning to deployment Write clean, maintainable code following industry best practices and coding standards Contribute to technical architecture decisions and conduct thorough code reviews Support client implementations, troubleshoot technical issues, and optimize application performance Mentor junior developers and contribute to our growing technical knowledge base Required Qualifications 3-7 years of professional software development experience Expert proficiency in React.js, including React Hooks, Context API, and modern React patterns Strong JavaScript/TypeScript fundamentals with ES6+ features Experience with database technologies (SQL and/or NoSQL) Backend expertise in at least one of: Node.js (Express, Nest.js, or similar frameworks) Java Spring Boot (Spring MVC, Spring Data, Spring Security) Python (Django, Flask, FastAPI) .NET (ASP.NET Core, Entity Framework, C#) Proficiency with Git, REST APIs, and modern development workflows Understanding of responsive design and cross-browser compatibility Understanding of OWASP security principles, CORS, and authentication mechanisms like OAuth & JWT. Comfortable using AI-powered coding assistants for improving development speed. Advanced React.js, Redux/Context API, React Hooks Preferred Qualifications Experience with React ecosystem tools (Redux Toolkit, Zustand, React Router) Experience with cloud platforms (AWS, Azure, GCP) Knowledge of containerization (Docker) and CI/CD pipelines Experience with testing frameworks (Jest, React Testing Library, Cypress) Previous work on enterprise applications or ERP systems Understanding of microservices architecture Experience with GraphQL, WebSocket, or real-time applications Bonus: Portfolio/GitHub showcasing projects in React Please note: This position is intended to support a set of projects primarily focused on Malayalam speaking clients and regional users. While we have other team members working on global, English-speaking projects, this specific role requires close collaboration with local stakeholders. Hence, preference will be given to candidates who are native to Kerala or fluent in Malayalam. We encourage applications only from candidates who are either based in Kerala or open to relocating.