44 Openai Api Jobs

We are looking for a skilled Python AI/ML Developer with 2-3 years of experience to create agentic workflows using AI, machine learning, and Python frameworks. You should have expertise in REST API development, familiarity with tools like OpenAI API and LangChain, and the ability to integrate Retrieval-Augmented Generation (RAG) workflows for intelligent systems. Your responsibilities will include designing and optimizing scalable, secure, and robust REST API backends in Python, developing agentic workflows powered by AI, building autonomous AI agents for data handling tasks, implementing RAG techniques, collaborating with cross-functional teams, following best coding practices, monitoring real-time systems, and deploying solutions using cloud platforms and containerization tools. You should be proficient in Python and related frameworks, have strong knowledge of RESTful API design principles, experience with database systems, familiarity with cloud platforms and containerization tools, and be skilled in integrating AI libraries/tools. Knowledge of AI concepts, including machine learning, NLP, and LLMs, as well as hands-on experience with RAG workflows and AI-powered automation, is required. Soft skills such as problem-solving, communication, collaboration, and a passion for innovative AI solutions are essential. A Bachelor's degree in Computer Science or a related field is preferred. Join our team to work on cutting-edge AI solutions and contribute to groundbreaking innovations in Python-backed AI systems. If you are enthusiastic about backend development and AI technologies, along with creating agentic workflows, this role is perfect for you! This is a full-time position with health insurance and Provident Fund benefits, day shift, morning shift, and in-person work location at Bestech Business Tower in Mohali.,

The day-to-day responsibilities of the selected intern will include building AI agents using tools such as ChatGPT, OpenAI API, n8n, Make.com, and Voiceflow. Designing prompt-based workflows to automate tasks, exploring speech-to-text and intent recognition APIs, and creating proof-of-concept tools using AI technologies. Additionally, the intern will be responsible for developing scalable backend APIs and database schemas, designing interactive React-based dashboards and CRM interfaces, integrating REST APIs and third-party services, and optimizing performance, user experience, and responsiveness. Collaboration with the AI/ML team to construct front-end interfaces for intelligent workflows is also an essential part of the role. SOLAR-MAIT India is a comprehensive solar brand dedicated to making solar energy affordable and accessible through innovative products, services, and business models. The company's vision is to democratize solar power, ensuring its availability to all while contributing to a greener and more eco-friendly planet for future generations. SOLAR-MAIT India is actively involved in creating and empowering local entrepreneurs and generating employment opportunities within the solar energy sector.,

We are seeking a Full-Stack Developer with at least 3+ years of experience to join our team. As a core team member, you will play a crucial role in a fast-paced, execution-focused environment where taking ownership across the entire tech stack is key. Your primary responsibilities will involve building, scaling, and enhancing real software that is essential for care homes. In this role, you will work on both the frontend and backend, which includes developing APIs, managing infrastructure, and improving user-facing dashboards and reports. The ideal candidate should be proficient in the following tech stack: Frontend: Next.js 15, React 19, TypeScript, Tailwind CSS, Jotai, Firebase, Recharts Backend: Node.js, Express, TypeScript, Sequelize, PostgreSQL Infrastructure & Tooling: Docker, Firebase Auth/Storage, Sentry, OpenAI API, Jest, Playwright Responsibilities: - Design, develop, and maintain REST APIs using Express and domain-driven principles - Manage data models and migrations with Sequelize and PostgreSQL - Integrate third-party tools like Firebase Auth, Firebase Storage, OpenAI API, and Sentry - Write comprehensive tests using Jest, Testcontainers (backend), and Playwright (frontend) - Build responsive and accessible UIs using React 19, Tailwind CSS, and shadow-based components - Manage data with Axios, React Query, and Jotai - Create interactive reports and dashboards using Recharts - Collaborate with the team using Git and a Docker-based development environment Preferred Skills: - Strong proficiency with TypeScript across the stack - Hands-on experience with Node.js, Express, PostgreSQL, and Sequelize - Solid frontend skills using React, Next.js, and modern UI tools - Experience with Firebase authentication, OpenAI API, and Sentry - Ability to write clean, tested, and maintainable code - Familiarity with Docker, Git workflows, and API-first development - Bonus: Experience with PDF/CSV parsing, accessibility features, or reporting tools This is a full-time position with remote work timing from 3 pm to 12 am. If you are looking to be part of a dynamic team and have the required skills and experience, we encourage you to apply for this exciting opportunity.,

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.,

This role is responsible for designing and executing AI-enabled digitization initiatives within HR. You will work closely with HR leaders and cross-functional tech teams to translate manual and semi-automated processes into efficient, data-driven AI-supported workflows. While a background in HR is not required, a passion for process improvement, product thinking, and technical fluency are key. Key Responsibilities: - Understand current HR processes and identify areas for automation, AI adoption, and digitization. - Collaborate with HR teams to gather requirements and design AI-first process maps (e.g., onboarding, talent acquisition, performance reviews). - Build/Prototype automation tools using low-code/no-code or custom-built solutions (ChatGPT API, workflow bots, etc.). - Partner with internal tech teams to deploy and scale digitized HR solutions. - Ensure successful implementation, adoption, and performance tracking of digitized processes. - Maintain documentation of architecture, workflows, and use cases. - Manage end-to-end HR tech projects with strong stakeholder communication and timelines. - Benchmark best practices in HR tech and AI and bring relevant innovation ideas to the table. Ideal Candidate Profile: Educational Background: B.Tech / B.E / MCA or equivalent in Computer Science or a related technical field. Experience: 3-5 years in tech or product roles with direct exposure to AI/machine learning/automation projects. Strong grasp of AI tools and frameworks, e.g., OpenAI API, Python scripts, RPA (e.g., UiPath), Zapier, Typeform, etc. Proven experience working with cross-functional stakeholders and managing projects end-to-end. Excellent analytical and problem-solving skills, ability to work with ambiguity. Strong interest in improving people-related processes and employee experience. Preferred: Exposure to HR or People Operations systems like ATS, HRMS, L&D platforms is a bonus. Prior experience in a fast-paced product company/startup environment. Understanding of data privacy, compliance, and security best practices. Tool exposure required: - AI & NLP: OpenAI API (ChatGPT), LangChain, Azure OpenAI, Google Vertex AI - Automation (Low-code/No-code): Zapier, Make (Integromat), Microsoft Power Automate, Workato - Form & Workflow Builders: Typeform, Jotform, Google Forms + AppSheet, Airtable - RPA & Workflow Engines: UiPath, Automation Anywhere, Robocorp - Programming & Scripting: Python (for automation, API integration), JavaScript (optional) - Project Management: Jira, Notion, Asana, Trello - HR Tech (Optional but good to have): Darwinbox, SAP SuccessFactors, Keka, Zoho People, Freshteam - API Integration: REST APIs, Webhooks, Postman - Data Handling: Excel (advanced), Google Sheets, Pandas (Python), SQL basics,

Role Summary : This role is responsible for designing and executing AI-enabled digitization initiatives within HR. Will work closely with HR leaders and cross-functional tech teams to translate manual and semi-automated processes into efficient, data-driven AI-supported workflows. Person need not have HR backgroundbut a passion for process improvement, product thinking, and technical fluency are key. Key Responsibilities: Understand current HR processes and identify areas for automation, AI adoption, and digitization. Collaborate with HR teams to gather requirements and design AI-first process maps (e.g., onboarding, talent acquisition, performance reviews). Build/Prototype automation tools using low-code/no-code or custom-built solutions (ChatGPT API, workflow bots, etc.). Partner with internal tech teams to deploy and scale digitized HR solutions. Ensure successful implementation, adoption, and performance tracking of digitized processes. Maintain documentation of architecture, workflows, and use cases. Manage end-to-end HR tech projects with strong stakeholder communication and timelines. Benchmark best practices in HR tech and AI and bring relevant innovation ideas to the table. Ideal Candidate Profile: Educational Background: B.Tech / B.E / MCA or equivalent in Computer Science or a related technical field. Experience: 35 years in tech or product roles with direct exposure to AI/machine learning/automation projects. Strong grasp of AI tools and frameworks , e.g., OpenAI API, Python scripts, RPA (e.g., UiPath), Zapier, Typeform, etc. Proven experience working with cross-functional stakeholders and managing projects end-to-end. Excellent analytical and problem-solving skills, ability to work with ambiguity. Strong interest in improving people-related processes and employee experience. Preferred: Exposure to HR or People Operations systems like ATS, HRMS, L&D platforms is a bonus. Prior experience in a fast-paced product company/startup environment. Understanding of data privacy, compliance, and security best practices. Few of the Tool exposure required Category Tools/Technologies AI & NLP OpenAI API (ChatGPT), LangChain, Azure OpenAI, Google Vertex AI Automation (Low-code/No-code) Zapier, Make (Integromat), Microsoft Power Automate, Workato Form & Workflow Builders Typeform, Jotform, Google Forms + AppSheet, Airtable RPA & Workflow Engines UiPath, Automation Anywhere, Robocorp Programming & Scripting Python (for automation, API integration), JavaScript (optional) Project Management Jira, Notion, Asana, Trello HR Tech (Optional but good to have) Darwinbox, SAP SuccessFactors, Keka, Zoho People, Freshteam API Integration REST APIs, Webhooks, Postman Data Handling Excel (advanced), Google Sheets, Pandas (Python), SQL basics Show more Show less

Embark on a transformative journey with SwaaS, where innovation meets opportunity. Explore thrilling career prospects at the cutting edge of technology. Join our dynamic team, dedicated to shaping the future of IT. At SwaaS, we offer more than just jobs; we provide a platform for growth, collaboration, and impactful contributions. Discover a workplace where your aspirations align with limitless possibilities. Your journey towards a rewarding career in technology begins here, with SwaaS as your guide. Perks and Benefits We go beyond Salaries and provide guaranteed benefits that speak about Swaas value and culture. Our employees get common benefits and also performance-based individual benefits Performance-based benefits We promote a culture of equity. Accept the challenge, deliver the results, and get rewarded. Healthcare Our comprehensive medical insurance helps you cover your urgent medical needs. Competitive Salary We assure with pride that we are on par with the industry leaders in terms of our salary package. Employee Engagement A break is always needed out of the regular monotonous work assignments. Our employee engagement program helps our employees enhance their team bonding. Upskilling We believe in fostering a culture of Learning and harnessing the untapped potential in our employees. Everyone is encouraged and rewarded for acquiring new skills and certifications. Junior AI/ML Developer (Entry-Level) (Experience: 0-2 years) Tech Stack: Python, Node.js (Javascript), LangChain, LLama Index, OpenAI API, Perplexity.ai API, Neo4j, PostgreSQL Responsibilities: - Assist in developing AI-driven solutions using LLMs (ChatGPT, Perplexity.ai) and RAG (Retrieval-Augmented Generation). - Work on intent extraction and chatbot development, integrating APIs like OpenAI or LLama. - Support the design and testing of AI-enhanced workflows. - Implement database interactions (MySQL or PostgreSQL for structured data). - Write and optimize Python/Node.js scripts for the applications. - Debug and refine LLM-powered chatbots. Requirements: - Strong programming skills in Python (FastAPI, Flask) or Node.js. - Exposure to NLP, LLMs, AI APIs (ChatGPT, Perplexity.ai, LangChain). - Familiarity with RESTful APIs and Graph Databases (Neo4j). - Basic understanding of cloud platforms (AWS, Azure, GCP). - Passion for AI, NLP, and chatbot development. - Bonus: Knowledge of UI frameworks (React, Next.js). - Good to have - Pinecone or equivalent vector databases.,

Ciklum is seeking an Expert Java Developer to join the team full-time in India. As a custom product engineering company supporting multinational organizations and scaling startups, we aim to tackle complex business challenges with a global team of over 4,000 highly skilled developers, consultants, analysts, and product owners. Our goal is to engineer technology that reshapes industries and enhances people's lives. Join us as an Expert Java Developer and become part of a cross-functional development team dedicated to crafting the experiences of tomorrow. Embrace new technologies and approaches, especially those related to GenAI advancements, as projects evolve. Stay updated on the latest GenAI developments and leverage cutting-edge solutions for migration projects. As a software developer on small Agile teams, you will deliver software-based solutions for migrating and modernizing customer legacy applications to MongoDB. Follow migration playbooks and innovate when necessary to overcome project-specific challenges. Collaborate in sprint grooming, planning, and showcases, contributing ideas and suggestions. Requirements for this role include a minimum of 10 years of software development experience, strong proficiency in Java, and expertise in building applications that interact with relational databases using SQL and PL/SQL. Familiarity with Enterprise Java application architectures and Agile methodologies is essential. Desirable skills include knowledge of microservices architectures, Domain-Driven Design approaches, Python, JavaScript/Node.js, and ORMs like Hibernate or JPA. At Ciklum, we prioritize your well-being by offering comprehensive company-paid medical insurance and support for your mental and physical health. Enhance your skills with tailored education paths, internal events, language courses, and certifications. Collaborate with skilled professionals globally and locally in a growth environment that encourages sharing experiences and expertise. Enjoy a hybrid work mode in Chennai or Pune with opportunities for professional growth and career development. Work on large-scale projects that have a global impact and be part of a welcoming environment with regular team-building events. Join us in shaping the experiences of tomorrow and creating innovative solutions in a dynamic and supportive company culture. India is a key growth market for Ciklum, and we invite you to be part of this exciting journey. Submit your application to join our team and embark on a rewarding career with us. Let's innovate and grow together at Ciklum - where experiences of tomorrow are engineered collaboratively. Apply now and be part of our story!,

AI Architecture Lead Workflow Enablement Modular Tools and Infrastructure Location: Remote (Southeast Asia preferred) Reports to: Director of Development, Singapore Language: English (professional fluency required) Note: We are not able to offer visa sponsorship or relocation Job Description Help Shape an Adaptive System of AI Tools That Supports Real Work Were looking for someone who sees beyond individual tools; someone who can help shape how a growing collection of focused, AI-enabled utilities starts to work together across our global teams. This is regarding the enabling of practical solutions to real challenges each small, valuable, and human-centered. Over time, your work will guide how these pieces start to connect, align, and support one another in more powerful ways. Youll be joining a multidisciplinary environment where workplace strategy, design, engineering, and delivery teams are already experimenting with generative AI. Your role is to bring structure and foresight helping ensure these experiments evolve into a flexible, future-ready system. What Youll Work On Designing modular back-end logic that supports prompt-to-geometry, prompt-to-calculation, or prompt-to-output workflows Connecting GPT-style inputs with structured data, layout tools, and logic components in ways that scale Working across design, engineering, and project teams to ensure tools serve real-world delivery Identifying patterns, promoting reusability, and shaping shared foundations for internal AI tools Supporting integration of new tools without creating complexity or duplication What You Bring A platform mindset, grounded in realitynot everything needs to be built at once Experience designing systems that support modular logic, prompt interaction, and cross-functional use Comfort working with APIs, structured data formats, and lightweight service layers A strong sense of how generative tools are changing the way software, design, and engineering interact A clear communication style and collaborative working approach Technologies You May Use Python, TypeScript, or similar environments OpenAI API, LangChain, vector databases, RAG pipelines JSON, YAML, REST APIs Airflow, GitHub, cloud services (GCP, Azure, etc.) Tools that help define workflows, structure logic, and promote reusability Why This Role Matters Our teams are already building AI tools that serve specific needs. Whats missing is the connective layer and the thinking that allows these tools to speak the same language, use shared logic, and scale responsibly. Youll help guide that evolution. Not by dictating a fixed system, but by enabling a distributed one to take shape with enough structure to be coherent, and enough flexibility to adapt as we grow. Show more Show less

Position: AI Engineer Intern GPT + LangChain Company: Eroforze Systems Location: Remote Duration: 3045 days Stipend: Up to ?12,000 (performance-based) Overview Eroforze Systems is seeking a passionate AI Intern to work onEdgeryt , our AI-powered productivity platform. Youll help build features using OpenAI GPT API and LangChain to automate task creation and improve user productivity. Responsibilities Develop and integrate AI features using GPT APIs and LangChain Build prompt workflows for smart task management Collaborate with developers to embed LLMs into our app Optimize AI performance and accuracy Must-Have Skills Python and OpenAI API knowledge Familiarity with LangChain or similar tools Prompt engineering basics Willingness to work in a VDI setup Preferred Skills Vector store/RAG experience LangChain or LlamaIndex exposure Portfolio of AI projects Perks Certificate + real startup experience Work on real AI tools used in production Mentorship and potential long-term role Show more Show less

As a seasoned fullstack developer, you will be responsible for leading the development of various products while leveraging your expertise in AI/ML and market & website analytics. Your role will be pivotal in the creation of intelligent platforms and driving data-informed decisions. You will lead the fullstack development of products, with a preference for utilizing technologies such as Node.js, React/Angular, and MongoDB/PostgreSQL. Additionally, your role will involve building and integrating AI-powered features like NLP, predictive analytics, and recommendation systems. Analyzing data from tools like Google Analytics, Mixpanel, and Amplitude will be crucial, along with developing dashboards and data visualizations to support marketing and product teams. Collaboration with designers, data engineers, and product managers will be essential to align technological developments with business strategies. You will take ownership of product performance and conversion metrics, conducting regular audits and implementing improvements based on evaluations of user behavior, funnels, and attribution data. To excel in this role, you must possess strong fullstack capabilities including JavaScript, Node.js, React/Angular, APIs, and databases. Practical experience in AI/ML frameworks such as Python, TensorFlow, and Hugging Face, along with proficiency in website analytics, user behavior tracking, and A/B testing, are required. Experience in building or integrating marketing analytics systems and the ability to generate meaningful insights from data for stakeholders are crucial aspects of this position. Knowledge of SEO, CRO, and performance optimization best practices will also be beneficial. In summary, this role offers an exciting opportunity for a skilled fullstack developer to contribute to the development of intelligent platforms, drive data-informed decisions, and collaborate with cross-functional teams to ensure alignment with business objectives.,

Role & responsibilities Assist in designing, training, and evaluating machine learning and deep learning models. Work on GenAI use cases such as text summarization, question answering, and prompt engineering. Build applications using LLMs (like OpenAI GPT, LLaMA, Mistral, Claude, or similar). Preprocess and manage large datasets for training and inference. Implement NLP pipelines using libraries like Hugging Face Transformers. Help integrate AI models into production-ready APIs or applications. Stay updated with advancements in GenAI, ML, and LLM frameworks. Preferred candidate profile Knowledge of vector databases (FAISS, Pinecone, etc.) LangChain or LlamaIndex (RAG pipelines) Experience with Kaggle competitions Awareness of ethical AI principles and model limitations Selection Process: Technical Assessment Python + ML/GenAI basics Technical Interview – Coding + Project Discussion Final Selection – Based on combined performance

We are seeking an experienced and forward-thinking Generative AI Architect with a background of 12-15 years in AI/ML, with a specific focus on working with LLMs (Large Language Models) and Generative AI solutions. This pivotal role involves designing and supervising the development of cutting-edge GenAI platforms and solutions that revolutionize business operations and enhance customer experiences. As the GenAI Architect, you will collaborate closely with Data Scientists, ML Engineers, Product Teams, and Stakeholders to envision, prototype, and scale Generative AI Use Cases throughout the organization or for clients. Key responsibilities include leading the design and implementation of scalable GenAI solutions utilizing LLMs, diffusion models, and multimodal architectures. You will also be tasked with architecting end-to-end pipelines that encompass prompt engineering, vector databases, retrieval-augmented generation (RAG), and LLM fine-tuning. Furthermore, you will play a crucial role in selecting and integrating foundational models based on business requirements and technical limitations, defining GenAI architecture blueprints and best practices, and guiding teams on model evaluation, inference optimization, and cost-effective scaling strategies. Additionally, staying abreast of the rapidly evolving GenAI landscape, evaluating emerging tools, APIs, and frameworks, and collaborating with various stakeholders to identify high-impact GenAI use cases are essential aspects of this role. Requirements: - A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field. A PhD would be advantageous. - 12-15 years of experience in AI/ML and software engineering, with at least 3 years of dedicated focus on Generative AI and LLM-based architectures. Core Skills: - Profound expertise in machine learning, natural language processing (NLP), and deep learning architectures. - Hands-on familiarity with LLMs, transformers, fine-tuning techniques, and prompt engineering. - Proficiency in Python, including working knowledge of libraries/frameworks like Hugging Face Transformers, LangChain, OpenAI API, PyTorch, and TensorFlow. - Experience with vector databases and RAG pipelines. - Strong grasp of cloud-native AI architectures, containerization, and API integration. Architectural & Leadership Skills: - Demonstrated ability to design and implement scalable, secure, and efficient GenAI systems. - Excellent communication skills for effective cross-functional collaboration and stakeholder engagement. - Capacity to mentor engineering teams and foster innovation within the AI/ML ecosystem. Nice-to-Have: - Previous experience with multimodal models. - Understanding of AI governance, ethical AI, and compliance frameworks. - Familiarity with MLOps practices for GenAI, encompassing model versioning, drift detection, and performance monitoring.,

As a NLP scientist at Miimansa, you will play a crucial role in developing and prototyping innovative methods for various natural language understanding tasks specifically focused on clinical texts. Your responsibilities will include actively contributing to research collaborations with academic NLP research groups, participating in NLU challenge tasks, and publishing research findings. The ideal candidate should possess a Bachelor's degree or higher in computer science or engineering with a specialization in language processing. However, exceptional individuals with a Bachelor's degree in CS accompanied by relevant experience will also be considered. Additionally, you should have a minimum of 2+ years of hands-on experience in NLP and related projects, although this requirement may be flexible for candidates holding a PhD. You are expected to have a solid understanding of common NLP tasks such as text classification, entity recognition, entity extraction, and question answering. Proficiency in NLP techniques for language modeling, text representation, and semantic extraction is essential. Moreover, a good grasp of current DNN architectures, training, and evaluation methods in NLP is required, along with the ability to adapt them to clinical/medical data and issues. To excel in this role, you should possess expertise in repository management, GPU utilization, and the capability to quickly set up NLP pipelines for testing new concepts. Familiarity with NLP literature, emerging trends, prominent conference venues, and code repositories is highly valued. Proficiency in Python programming and familiarity with libraries such as Huggingface, Spacy, and OpenAI API are also crucial for this position. Furthermore, you should be willing and capable of mentoring engineering teams within the company. Miimansa is dedicated to developing technology that enhances the progression of medical interventions and patient care. Our team combines extensive expertise in clinical data-management workflows, life sciences research, and AI to address critical bottlenecks in experimental medicine, facilitating the design of more manageable and lower-risk clinical trials for sponsors. We promote hybrid working arrangements (remote/in-person) and are committed to fostering a culture of collaborative learning and exploration. Join us at Miimansa for abundant opportunities for professional growth and development.,

Join our fast-paced Corporate Oversight and Governance Technology AI/ML team at J.P. Morgan, where your skills and passion will drive innovation and make a significant impact. We offer unparalleled opportunities for career growth and a collaborative environment where you can thrive and contribute to meaningful projects. As an Applied AI ML Lead within the Corporate Oversight and Governance Technology team, you will solve challenging and impactful problems across a wide range of Corporate functions. You will study complex business problems and apply advanced algorithms to develop, test, and evaluate AI/ML applications or models. Working with the firm's rich data pool using Python/Spark via AWS, you will derive business insights and present them to non-technical audiences, contributing to stronger business programs and improved efficiency. Proactively develop an understanding of key business problems and processes. Execute tasks throughout a model development process including data wrangling/analysis, model training, testing, and selection. Implement optimization strategies to fine-tune generative models for specific NLP use cases, ensuring high-quality outputs in summarization and text generation. Conduct thorough evaluations of generative models (e.g., GPT-4), iterate on model architectures, and implement improvements to enhance overall performance in NLP applications. Implement monitoring mechanisms to track model performance in real-time and ensure model reliability. Communicate AI/ML/LLM/GenAI capabilities and results to both technical and non-technical audiences. Generate structured and meaningful insights from data analysis and modeling exercises and present them in an appropriate format according to the audience. Collaborate with other data scientists and machine learning engineers to deploy machine learning solutions. Carry out ad-hoc and periodic analysis as required by the business stakeholder, model risk function, and other groups. Required Qualifications, Capabilities, and Skills: - Formal training or certification in applied AI/ML concepts and 5+ years of applied experience. - Proficiency in programming languages like Python for model development, experimentation, and integration with OpenAI API. - Experience with machine learning frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Scikit-learn, and OpenAI API. - Experience in building AI/ML models on structured and unstructured data along with model explainability and model monitoring. - Solid understanding of fundamentals of statistics, machine learning (e.g., classification, regression, time series, deep learning, reinforcement learning), and generative model architectures, particularly GANs, VAEs. - Experience with a broad range of analytical toolkits, such as SQL, Spark, Scikit-Learn, and XGBoost. - Experience with graph analytics and neural networks (PyTorch). - Excellent problem-solving, communication (verbal and written), and teamwork skills. Preferred Qualifications, Capabilities, and Skills: - Expertise in building AI/ML models on structured and unstructured data along with model explainability and model monitoring. - Expertise in designing and implementing pipelines using Retrieval-Augmented Generation (RAG). - Familiarity with the financial services industry.,

Embark on a transformative journey with SwaaS, where innovation meets opportunity. Explore thrilling career prospects at the cutting edge of technology. Join our dynamic team, dedicated to shaping the future of IT. At SwaaS, we offer more than just jobs; we provide a platform for growth, collaboration, and impactful contributions. Discover a workplace where your aspirations align with limitless possibilities. Your journey towards a rewarding career in technology begins here, with SwaaS as your guide. Perks and Benefits We go beyond salaries and provide guaranteed benefits that speak about Swaas" value and culture. Our employees receive common benefits and performance-based individual benefits. Performance based benefits We promote a culture of equity. Accept the challenge, deliver the results, and get rewarded. Healthcare Our comprehensive medical insurance helps you cover your urgent medical needs. Competitive Salary We assure with pride that we are on par with the industry leaders in terms of our salary package. Employee Engagement A break is always needed out of the regular monotonous work assignments. Our employee engagement program helps our employees enhance their team bonding. Upskilling We believe in fostering a culture of learning and harnessing the untapped potential in our employees. Everyone is encouraged and rewarded for acquiring new skills and certifications. Senior AI/ML Developer (Lead Role) (Experience: 3 - 5 years) Tech Stack: Python, Node.js (Javascript), LangChain, LLama Index, OpenAI API, Perplexity.ai API, Neo4j, Docker, Kubernetes Responsibilities: Lead the integration of Perplexity.ai and ChatGPT APIs for real-time chatbot interactions. Design and implement intent extraction and NLP models for conversational AI. Design and implement RAG (Retrieval-Augmented Generation) pipelines for context-aware applications. Guide junior developers and ensure best practices in LLM application development. Set up Python API security, and performance monitoring. Requirements: Deep knowledge of NLP, LLMs (ChatGPT, GPT-4, Perplexity.ai, LangChain). Experience with Graph Databases (Neo4j) and RAG techniques. Familiarity with vector databases (Pinecone, Weaviate, FAISS). Strong expertise in Python (FastAPI, Flask) and/or Node.js (Express, NestJS). Good to have - experience with containerization (Docker, Kubernetes). Excellent problem-solving skills and experience leading a small AI/ML team.,

We are seeking skilled Full Stack Developers with 3+ years of experience to join our engineering team in developing a scalable SaaS product featuring dynamic dashboards, role-based user flows, and robust backend services. In this role, you will be responsible for working on mission-critical features ranging from UI rendering to backend logic, API architecture, and data handling. Your Tech Stack Will Include: Frontend: - React.js (Hooks, Context API, Redux or Zustand) - Tailwind CSS or SCSS - TypeScript (preferred) - Component libraries: MUI / Ant Design / ShadCN (bonus) - REST API integration, JWT-based auth flows Backend: - Node.js + Express.js - MongoDB (Mongoose) and/or PostgreSQL (Sequelize / Prisma ORM) - Auth: JWT, OAuth2, role-based access (RBAC) - File handling, pagination, filtering, custom controllers DevOps & Tools: - Git & GitHub / GitLab - Postman, Swagger / OpenAPI - Docker (basic understanding) - Familiarity with CI/CD pipelines is a plus - Deployment: Vercel / Render / DigitalOcean / AWS Bonus / Nice to Have: - Next.js or Nuxt.js - Redis, WebSockets (real-time features) - Integration with 3rd-party APIs (Stripe, SendGrid, etc.) - Unit testing (Jest, Mocha, Supertest) - Basic AI integration (OpenAI API, LangChain, Pinecone, etc.) Role Levels & Responsibilities: 3+ Years Experience: - Ability to independently deliver modules using React + Node - Strong understanding of the full REST lifecycle - Capable of managing feature rollout with backend integration - Proficient in debugging, version control, and API handling practices 5+ Years Experience: - Ability to lead a small team of developers - Proficient in designing modular backend structure with layered architecture - Hands-on experience with performance optimization, caching, async operations - Familiar with secure deployment, access control, and CI basics 6+ Years Experience: - Skilled in architecting scalable full-stack systems - Contribution to planning, estimation, and sprint delivery - Knowledge of software design patterns, scalability, and fault-tolerant systems - Bonus: experience in leading cross-functional teams and codebase modernization You Should Apply If You: - Love building full-scale products from Figma to functional UI - Enjoy clean code, reusability, and DRY principles - Are comfortable debugging both frontend and backend issues - Have experience working on SaaS, admin dashboards, or business tools - Want to grow alongside a fast-moving product engineering team,

Responsibilities: * Design, develop, test & maintain backend systems using Node.JS, ExpressJS, FastAPI & Python. * Collaborate with cross-functional teams on project delivery within AWS environment. Work from home Leave encashment

As an experienced Data Engineer with 8+ years of industry experience, you will be responsible for developing robust, scalable Python-based applications that meet the company's requirements. Your key responsibilities will include integrating and implementing Generative AI models into business applications, designing, building, and maintaining data pipelines and data engineering solutions on Azure, and collaborating closely with cross-functional teams to define, design, and deploy innovative AI and data solutions. You will be required to build, test, and optimize AI pipelines, ensuring seamless integration with Azure-based data systems. Continuous research and evaluation of new AI and Azure data technologies to enhance system capabilities will be essential. Additionally, you will participate actively in code reviews, troubleshooting, debugging, and documentation to maintain high standards of code quality, performance, security, and reliability. To excel in this role, you must possess advanced proficiency in Python programming, including knowledge of libraries and frameworks like Django, Flask, and FastAPI. Experience in Generative AI technologies such as GPT models, LangChain, and Hugging Face will be beneficial. Solid expertise in Azure Data Engineering tools like Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Data Lake Storage is required. Familiarity with AI/ML libraries like TensorFlow, PyTorch, or OpenAI API, RESTful APIs, microservices architecture, and web application development is essential. You should also have a strong understanding of databases (SQL, NoSQL), ETL processes, containerization, and orchestration technologies like Docker and Kubernetes. Strong problem-solving, analytical, and debugging skills are a must-have for this role. Preferred qualifications include a Bachelor's or Master's degree in computer science, engineering, or related fields, prior experience developing AI-enabled products or implementing AI into applications, and Azure certifications (AZ-204, DP-203, AI-102) or equivalent. Exposure to DevOps practices and CI/CD pipelines, especially in Azure DevOps, will be an added advantage. In addition to technical skills, soft skills such as strong communication, teamwork, ability to work independently, and a passion for continuous learning and professional growth are valued. This full-time position is located in Gurgaon, Noida, Pune, Bengaluru, or Kochi. Join us at Infogain, a human-centered digital platform and software engineering company based in Silicon Valley, where we engineer business outcomes for Fortune 500 companies and digital natives across various industries. We accelerate experience-led transformation in the delivery of digital platforms using cutting-edge technologies such as cloud, microservices, automation, IoT, and artificial intelligence. Infogain is a Microsoft Gold Partner and Azure Expert Managed Services Provider, with global offices and delivery centers in multiple locations worldwide.,

You will be a Senior MERN Full Stack Developer with expertise in AI Prompt Engineering. Your role will involve developing scalable web applications using the MERN stack and implementing advanced AI functionalities using models like GPT and BERT. Your responsibilities will include building and managing web applications utilizing MongoDB/PostgreSQL/MySQL, Express.js, React.js, and Node.js, designing and implementing RESTful APIs and WebSocket connections, creating AI-driven features with GPT, BERT, and prompt engineering, collaborating with diverse teams, and guiding junior developers. Additionally, you will be involved in sprint planning, project scoping, and ensuring timely delivery of features. To excel in this role, you must have extensive experience with the MERN stack, be skilled in JavaScript/TypeScript and async programming, possess knowledge of GPT, BERT, and AI model integration, be familiar with OpenAI API, Hugging Face, TensorFlow, or PyTorch, understand both NoSQL and relational databases, and exhibit strong communication, leadership, and problem-solving abilities. In return, you can expect a competitive salary and benefits, the opportunity to work on cutting-edge AI-integrated products, chances for leadership roles and career development, and a collaborative team environment. If you are ready to contribute to innovative full-stack + AI solutions, this position offers a full-time, permanent employment with benefits such as health insurance, internet reimbursement, paid time off, and provident fund. The work schedule includes day and morning shifts at the physical location in Bangalore.,

Job Description: As a Senior MERN Full Stack Developer with expertise in AI Prompt Engineering, you will be responsible for developing scalable web applications using the MERN stack. Your role will involve integrating advanced AI features utilizing models such as GPT and BERT. You will collaborate with cross-functional teams, mentor junior developers, and contribute to the development of AI-driven features. Key Responsibilities: - Building and maintaining web applications using MongoDB/PostgreSQL/MySQL, Express.js, React.js, and Node.js. - Designing and developing RESTful APIs and WebSocket connections. - Creating AI-driven features leveraging GPT, BERT, and prompt engineering techniques. - Collaborating with teams and providing mentorship to junior developers. - Participating in sprint planning, project scoping, and ensuring timely feature delivery. Requirements: - Proficiency in the MERN stack with hands-on experience. - Strong knowledge of JavaScript/TypeScript and async programming. - Experience in working with GPT, BERT, and integrating AI models. - Familiarity with OpenAI API, Hugging Face, TensorFlow, or PyTorch. - Understanding of both NoSQL and relational databases. - Excellent communication, leadership, and problem-solving skills. What You'll Get: - Competitive salary and benefits package. - Opportunity to work on cutting-edge AI-integrated products. - Potential for leadership roles and career advancement. - Engaging and collaborative team environment. Job Types: Full-time, Permanent Benefits: - Health insurance. - Internet reimbursement. - Paid time off. - Provident Fund. Schedule: - Day shift. - Morning shift. Work Location: In person.,

As a Python Developer within our Information Technology department, your primary responsibility will be to leverage your expertise in Artificial Intelligence (AI), Machine Learning (ML), and Generative AI. We are seeking a candidate who possesses hands-on experience with GPT-4, transformer models, and deep learning frameworks, along with a profound comprehension of model fine-tuning, deployment, and inference. Your key responsibilities will include designing, developing, and maintaining Python applications that are specifically tailored towards AI/ML and generative AI. You will also be involved in building and refining transformer-based models such as GPT, BERT, and T5 for various NLP and generative tasks. Working with extensive datasets for training and evaluation purposes will be a crucial aspect of your role. Moreover, you will be tasked with implementing model inference pipelines and scalable APIs utilizing FastAPI, Flask, or similar technologies. Collaborating closely with data scientists and ML engineers will be essential in creating end-to-end AI solutions. Staying updated with the latest research and advancements in the realms of generative AI and ML is imperative for this position. From a technical standpoint, you should demonstrate a strong proficiency in Python and its relevant libraries like NumPy, Pandas, and Scikit-learn. With at least 7+ years of experience in AI/ML development, hands-on familiarity with transformer-based models, particularly GPT-4, LLMs, or diffusion models, is required. Experience with frameworks like Hugging Face Transformers, OpenAI API, TensorFlow, PyTorch, or JAX is highly desirable. Additionally, expertise in deploying models using Docker, Kubernetes, or cloud platforms like AWS, GCP, or Azure will be advantageous. Having a knack for problem-solving and algorithmic thinking is crucial for this role. Familiarity with prompt engineering, fine-tuning, and reinforcement learning with human feedback (RLHF) would be a valuable asset. Any contributions to open-source AI/ML projects, experience with vector databases, building AI chatbots, copilots, or creative content generators, and knowledge of MLOps and model monitoring will be considered as added advantages. In terms of educational qualifications, a Bachelor's degree in Science (B.Sc), Technology (B.Tech), or Computer Applications (BCA) is required. A Master's degree in Science (M.Sc), Technology (M.Tech), or Computer Applications (MCA) would be an added benefit for this role.,

Aptean is seeking an Associate Architect, AI to join our innovative team. In this pivotal role, you will be instrumental in designing, developing, and refining AI solutions, with a strong focus on optimizing AI model output through advanced prompting techniques. You'll work with cutting-edge technologies like Azure OpenAI and Microsoft Fabric Lakehouse to build scalable, efficient, and business-aligned AI applications, including autonomous AI agents and enhanced conversational AI experiences. About the Role Develop and refine structured prompts to optimize AI model output, experimenting with various prompting techniques. Implement Fabric AI Skills on Fabric Lakehouse for automated data interpretation of semantic models for improved contextual accuracy. Integrate Azure OpenAI and Fabric AI Skills for the MS Fabric Lakehouse to enable enhanced conversational AI experiences. Drive the development of AI-led automation solutions , preferably leveraging Agentic AI. Analyze AI responses, troubleshoot inconsistencies, and fine-tune prompts for better accuracy while researching and implementing best practices to reduce hallucinations and biases . Automate workflows by designing prompts for AI agents, chatbots, and AI-powered assistants. Stay updated with advancements in NLP, LLMs, and generative AI to continuously improve prompt strategies and enhance AI model performance. Assist in curating, cleaning, and processing datasets used for training machine learning models. Learn to create effective prompts for LLMs to generate and augment datasets while helping identify and resolve data quality issues across various data types. Develop and implement AI models, algorithms, and workflows to automate tasks, optimize processes, and generate insights from data. Drive research and implementation of autonomous AI agents that interact with users, applications, and environments. Optimize AI performance, ensuring solutions are scalable, efficient, and aligned with business objectives . Skills, Abilities & Competencies Experience working with LLMs (GPT, Claude, Gemini, Llama, etc.) and AI APIs . Hands-on experience in Fabric AI Skills and implementing Fabric AI Skills on Fabric Lakehouse. Familiarity with Data Lakehouse & medallion architecture , including semantic models. Familiarity with Python, OpenAI API, LangChain, and AI automation frameworks . Proficient with Python language and ML toolkits like TensorFlow, PyTorch, Keras, Scikit Learn . Strong programming skills in languages such as JSON, Microsoft Azure, Python, Java, JavaScript , etc. Prior experience developing and hosting chatbots on multiple channels (Teams, SharePoint, web portal). Understanding of statistical models such as regression, clustering, and ML algorithms such as decision trees, Random Forests, neural networks, etc. Strong understanding of NLP principles, model behavior, and prompt design techniques . Ability to interpret AI-generated outputs and optimize performance. Strong writing and communication skills, with a keen understanding of AI-driven content generation. Adaptability to a fast-paced AI startup environment. Qualifications Education: Bachelor's degree (Required). Master's degree (Preferred). Work Experience: 8-12 years of relevant experience.

We are hiring a Full Stack Developer with strong exposure to AI tools, APIs, and product development workflows. This role is for someone who can independently design, build, and deploy full-stack applications, and also integrate AI-powered components such as RSVP agents, recommendation systems, conversational flows, and automation tools. Responsibilities Build and maintain full-stack web apps using React, Node.js, Python Integrate AI/ML APIs like OpenAI, Cohere, LangChain, Pinecone, etc. Architect intelligent features using vector databases, RAG pipelines, and custom agent flows Work on both frontend + backend and own deployment, testing & CI/CD Collaborate closely with product & automation teams Must-Have Skills Strong proficiency in JavaScript/TypeScript, Python, Node.js Comfortable with NoSQL, PostgreSQL, Firebase, or Supabase Experience with API integrations, automation, and microservices Understanding of AI agentic flows, embeddings, and webhooks Experience deploying products on Vercel, Render, or similar Good to Have Familiarity with tools like LangChain, LlamaIndex, or OpenAI Assistants Working knowledge of Next.js, Tailwind CSS, and prompt engineering Work Culture Fully remote Flat structure Fast execution environment Product-first mindset

You will work closely with data scientists, product teams, and developers to fine-tune LLM behavior for diverse applications including chatbots, code generation, creative writing, and data extraction.