31 Openai Apis Jobs

Are you a curious hacker at heart, with a passion for marketing automation and AI tools Want to learn how to scale B2B growth using no-code + AI agents We&aposre looking for a smart, motivated intern to help us automate lead generation and digital marketing workflows using n8n, OpenAI, and modern growth tools. Youll work closely with the founder and growth team tobuild automation pipelines that: Scrape and enrich B2B leads using public web sources (LinkedIn, Crunchbase, etc.) Use AI (OpenAI GPT APIs) to auto-write personalized outreach messages Designing and deploying n8n workflows to automate end-to-end processes Automate email campaigns, follow-ups, and performance tracking Build content pipelines for LinkedIn and email using AI 6 Set up Email alerts, auto-reports, and basic dashboards Tools Youll Work With n8n (our core automation platform) OpenAI APIs (GPT-4, embeddings) Python or JS (basic scripting as needed) Web scraping tools (e.g., Phantombuster, Puppeteer) SendGrid / Mailchimp / Lemlist Google Sheets, Notion Youre a Great Fit If You... Love experimenting with tools and building scrappy solutions Have some experience with n8n, Zapier, Make.com, or similar tools Are comfortable working with APIs and JSON Are self-driven, reliable, and excited about AI-powered growth Bonus points if: Youve built personal side projects using OpenAI or automation tools Youre familiar with B2B sales funnels or digital marketing strategies Youre active on Twitter or LinkedIn about AI/tech Show more Show less

As a React Developer at our company, you will be responsible for building modern, scalable UIs and integrating AI-powered features into our product. You will collaborate closely with design, product, and backend teams to deliver high-impact user experiences. Your main responsibilities will include: - Building advanced UIs using React, Hooks, and TypeScript - Managing state with Redux Toolkit, Zustand, or similar tools - Working with REST & GraphQL APIs - Integrating AI features using OpenAI APIs such as ChatGPT and DALLE - Utilizing modern styling tools like Tailwind CSS or Styled Components - Writing clean and testable code with tools like Jest and RTL - Collaborating effectively within Agile teams To excel in this role, you should have the following skills: - Strong proficiency in JavaScript (ES6+) and TypeScript - Experience with AI API integration, specifically with platforms like OpenAI and LangChain - Familiarity with build tools such as Vite/Webpack, CI/CD practices, and Git - Good UX/product thinking abilities and effective communication skills - Bonus points for experience with Next.js, knowledge of vector search, and familiarity with chatbots or streaming AI UIs We are looking for candidates with a minimum of 4 years of relevant experience. This is a full-time position based in Kochi. If you are interested in this opportunity, please send your resume to careers@cabotsolutions.com.,

Job Title: Gen AI Developer Location: Bangalore / Lucknow Role Type: Full-time, Senior level Companys website: https://usefulbi.com LinkedIn link: UBI LinkedIn Abo u t Us efu lBI: UsefulBI is a leading AI-driven data solutions provider specializing in data engineering, cloud transformations, and AI-powered analytics for Fortune 500 companies. We help businesses turn complex data into actionable insights through our innovative products and services. Role Overview: We are seeking a Senior Data Scientist / Gen AI Developer who is passionate about transforming raw data into intelligent business insights and building AI models that solve real-world problems. In this role, youll work across the entire data science lifecyclefrom exploratory analysis and statistical modeling to deploying advanced LLM-based and Generative AI solutions. You will be at the forefront of building AI-powered products across domains like healthcare, life sciences, finance, and enterprise analytics, with a focus on real-world impact and scalable architecture. Key Responsibilities: Develop and deploy applications using Large Language Models (LLMs) like GPT-4, Claude, LLaMA, and Gemini. Hands-on experience with GenAI tools: OpenAI APIs, LangChain, RAG, LLM fine-tuning. Build GenAI-powered tools such as AI report generators, contextual chatbots, summarization engines, and semantic search applications. Design, optimize, and evaluate prompts tailored for various use cases and user personas. Implement and enhance Retrieval-Augmented Generation (RAG) workflows for improved relevance and accuracy. Fine-tune and customize foundation models using techniques like LoRA, PEFT, and prompt-tuning. Evaluate and monitor model performance on accuracy, latency, and business-specific KPIs. Apply NLP techniques such as entity recognition, topic modeling, summarization, sentiment analysis, and question answering. Work with libraries and frameworks such as Hugging Face Transformers, Lang Chain, spaCy, and NLTK. Deploy GenAI applications using cloud platforms like AWS Bedrock/SageMaker, GCP Vertex AI, or Azure OpenAI. Build scalable and secure inference pipelines integrated with backend systems and APIs. Use tools like MLflow and Docker for model lifecycle management and MLOps best practices. Collaborate with cross-functional teams including product managers, data engineers, and designers to align AI outputs with business needs. Continuously experiment with new GenAI models, tools, and research to keep the solutions cutting-edge. Required Skills and Qualifications: 7+ years of experience as a Data Scientist with good experience in Generative AI or LLM-based applications. Strong expertise in Python and libraries like Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch. Experience in end-to-end ML lifecycle including model development, validation, and deployment. Solid understanding of statistics, probability, and data modeling. Experience with NLP libraries (NLTK, spaCy, Hugging Face Transformers). Hands-on experience with GenAI tools: OpenAI APIs, LangChain, RAG, LLM fine-tuning. Experience with SQL and at least one NoSQL database. Familiarity with cloud platforms (AWS, GCP, Azure) and version control (Git). Strong communication skills with the ability to explain complex models to non-technical audiences. Show more Show less

As a Python Backend Engineer specializing in AWS with a focus on GenAI & ML, you will be responsible for designing, developing, and maintaining intelligent backend systems and AI-driven applications. Your primary objective will be to build and scale backend systems while integrating AI/ML models using Django or FastAPI. You will deploy machine learning and GenAI models with frameworks like TensorFlow, PyTorch, or Scikit-learn, and utilize Langchain for GenAI pipelines. Experience with LangGraph will be advantageous in this role. Collaboration with data scientists, DevOps, and architects is essential to integrate models into production. You will be working with AWS services such as EC2, Lambda, S3, SageMaker, and CloudFormation for infrastructure and deployment purposes. Additionally, managing CI/CD pipelines for backend and model deployments will be a key part of your responsibilities. Ensuring the performance, scalability, and security of applications in cloud environments will also fall under your purview. To be successful in this role, you should have at least 5 years of hands-on experience in Python backend development and a strong background in building RESTful APIs using Django or FastAPI. Proficiency in AWS cloud services is crucial, along with a solid understanding of ML/AI concepts and model deployment practices. Familiarity with ML libraries like TensorFlow, PyTorch, or Scikit-learn is required, as well as experience with Langchain for GenAI applications. Experience with DevOps tools such as Docker, Kubernetes, Git, Jenkins, and Terraform will be beneficial. An understanding of microservices architecture, CI/CD workflows, and agile development practices is also desirable. Nice to have skills include knowledge of LangGraph, LLMs, embeddings, and vector databases, as well as exposure to OpenAI APIs, AWS Bedrock, or similar GenAI platforms. Additionally, familiarity with MLOps tools and practices for model monitoring, versioning, and retraining will be advantageous. This is a full-time, permanent position with benefits such as health insurance and provident fund. The work location is in-person, and the schedule involves day shifts from Monday to Friday in the morning. If you are interested in this opportunity, please contact the employer at +91 9966550640.,

You are an experienced Python & AI Engineer with a minimum of 3 years of relevant experience in the same tech stack. As a part of our growing CRM product team, you will be responsible for developing AI-powered features using Python and various ML/NLP tools. Your role will involve building intelligent modules such as recommendation engines, lead scoring systems, document extraction tools, chatbot assistants, and predictive insights directly into our CRM platform. Your key responsibilities will include designing, building, and deploying AI/ML models and NLP systems to address real-world CRM challenges. Additionally, you will be developing Python-based microservices for smart automation and CRM intelligence, implementing AI modules for chatbot integration, document analysis, lead prediction, and integrating LLMs and RAG systems for contextual search and automation workflows. You will also work on handling structured and unstructured data from MongoDB/PostgreSQL for model training, optimizing models for accuracy, performance, and scalability, and collaborating with product and engineering teams for seamless feature delivery. To be successful in this role, you must possess at least 3 years of experience in Python, Machine Learning, and AI development, along with proficiency in ML/NLP libraries like scikit-learn, spaCy, Transformers, and LangChain. Working knowledge of LLMs, OpenAI APIs, RAG, chatbot architecture, experience in building REST APIs using FastAPI or Flask, strong database management skills using MongoDB and PostgreSQL, and familiarity with version control (Git), Docker containers, and API integration are essential. Nice-to-have skills include exposure to vector databases (e.g., Pinecone, Weaviate, FAISS), experience with MLOps tools like MLflow, Airflow, or Seldon, working on SaaS-based CRM or multi-tenant applications, and background in domains such as EdTech, ImmigrationTech, or SalesTech. Ideally, you should hold a Bachelors/Masters degree in Computer Science, AI/ML, Data Science, or a related field. Immediate joiners will be given priority for this full-time on-site position located in Mohali, Punjab. If you are passionate about leveraging Python and AI technologies to drive innovation in CRM intelligence systems, we encourage you to apply for this role.,

As a Senior Engineer AI-ML: Team Lead at Athena, you will be a crucial part of our dynamic team, bringing your expertise in AI/ML development specializing in Retrieval Augmented Generation (RAG) systems. You will have the exciting opportunity to work on cutting-edge AI technology, particularly focusing on multi-modal and non-text-based RAG applications. Your key responsibilities will include designing, developing, and deploying RAG-based chatbots using Python and OpenAI APIs, as well as building solutions that integrate various data formats such as text, images, and relational data. You will be instrumental in optimizing and maintaining existing RAG systems, ensuring performance and accuracy are top-notch. Collaboration with team members to deliver high-quality AI solutions and effective management of client requirements, particularly with US-based clients, will also be part of your role. To excel in this position, you should have a minimum of 5 years of experience in AI/ML development with a focus on RAG systems, preferably multi-modal/non-text RAG. Proficiency in Python development, hands-on experience with OpenAI APIs for RAG applications, and expertise in integrating different data types are essential technical skills required for this role. Additionally, excellent communication and client interaction skills, a team player mindset, and a willingness to learn new technologies are important soft skills that will contribute to your success. If you have prior experience working with US clients or are an immediate joiner with a notice period of up to 15 days, it would be advantageous. Athena, founded in 2011 in Fremont, California, specializes in factory and business systems, offering professional services such as software selection, implementation, integration, and support for various technologies. Joining Athena will provide you with the opportunity to work at the forefront of AI innovation, be part of a globally recognized team, and lead the development of cutting-edge RAG-based solutions.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of yourself. EY is counting on your unique voice and perspective to help them become even better. Join EY to build an exceptional experience for yourself and contribute to creating a better working world for all. The Capacity Analyst role involves developing and implementing capacity plans for complex IT services, applications, and infrastructure components to ensure efficient use of IT Infrastructure to cost-effectively meet business needs. The position collaborates across the EY Technology organization to incorporate capacity management principles into the design and management of network/services/applications. Key Responsibilities: - Develop complex service capacity forecasts and scalability plans using production system metrics, performance test results, and business requirements. - Ensure efficient utilization of IT infrastructure to meet capacity and performance requirements for services and applications. - Work with service delivery organizations in EY Technology to develop business forecasts and incorporate them into service and component capacity plans. - Define component resource requirements for complex services/applications and develop scalability plans. - Monitor service capacity performance for complex applications/products/services and components to proactively avoid incidents/problems. - Perform problem determination of capacity/performance issues and recommend solutions. - Oversee the Capacity Management process for complex services and components. - Monitor capacity process compliance, recommend and implement process improvements. Skills and Attributes for Success: - Comprehensive understanding of Generative AI technologies and frameworks. - Extensive experience in data migration processes and Azure Data Factory. - Knowledge of virtualization technologies, MS SQL, Network, Server Hardware, Storage, and Cloud technologies. - Experience in Capacity Modelling and data analysis/reporting tools. - Understanding of Capacity Management methodologies based on ITIL principles. - Knowledge of global server architectures and planning for systems over multiple global locations. Qualifications: - Bachelor's degree in a related discipline or equivalent work experience. - 2-5 years of experience in Data Science with a focus on Data Engineering and Generative AI. - Strong problem-solving, communication, interpersonal, and analytic skills. - Knowledge of the IT Process Landscape. - Excellent English language skills. - Ability to adapt to changing priorities and work with diverse teams. - Certification in ITIL V3 Foundations or equivalent experience. Desired Skills: - Excellent communication and negotiation skills. - Flexibility to adjust to changing demands and work with diverse teams. - Strong teamwork, collaboration, documentation, and analytics skills. What We Offer: EY provides a highly integrated, global team environment with opportunities for growth and career development. The benefits package focuses on physical, emotional, financial, and social well-being. Continuous learning, transformative leadership, and a diverse and inclusive culture are key aspects of working at EY. EY is committed to building a better working world by creating long-term value for clients, people, and society. With diverse teams in over 150 countries, EY provides trust through assurance and helps clients grow, transform, and operate across various services. Please note that the role may require working outside normal hours and travel, both domestically and internationally, given its global focus and responsibilities.,

As an AI/ML Engineer Generative AI Specialist with over 5 years of experience, you will be expected to possess the following must-have skills: You should have a strong background in AI/ML frameworks such as PyTorch, TensorFlow, and proficient in Python programming. Your experience with AWS services, specifically AWS Bedrock and Lambda functions, will be crucial. Hands-on expertise in LangChain components (agents, chains, memories, parsers, document loaders), developing and optimizing GenAI, NLP models, and CrewAI is essential for this role. You should be capable of building and deploying RAG (Retrieval-Augmented Generation) systems, chatbots, and AI applications using OpenAI APIs, Ollama, Llama, and llamaparse. Advanced prompt engineering techniques like Chain of Thought (CoT) prompting should be within your skill set. Additionally, experience with Docker, CI/CD pipelines, YML files, and GitHub repository management is required. A strong understanding of system design principles, focusing on security, scalability, and performance optimization, is a must. Good-to-have skills include experience in responsible AI practices, knowledge of event-driven architecture, and familiarity with cloud deployments and Kubernetes. Experience with large-scale AI model training and fine-tuning would be beneficial. Your key responsibilities will involve designing and implementing AI/ML solutions using cutting-edge technologies to ensure scalability, efficiency, and alignment with business objectives. You will be responsible for developing and optimizing LangChain components, CrewAI, GenAI, and NLP models customized to specific applications. Building and deploying production-ready RAG systems, chatbots, and AI-driven applications utilizing OpenAI APIs, Ollama, Llama, and llamaparse will be part of your role. Leveraging AWS Bedrock and other AWS services to deliver high-performance AI solutions is crucial. You will need to apply prompt engineering techniques like Chain of Thought (CoT) prompting to enhance AI interactions, maintain CI/CD pipelines, manage YML files, and utilize GitHub for version control. Implementing containerization using Docker and deploying AI solutions in cloud environments will also fall under your responsibilities. Ensuring that solutions adhere to best practices in system design, focusing on security, performance, and efficiency considerations is essential. You will also need to incorporate responsible AI practices and ensure compliance with ethical AI guidelines. Collaboration with cross-functional teams to translate AI insights into impactful solutions and effective communication of complex technical concepts to both technical and non-technical stakeholders will be expected from you.,

???? About KronosX AI Labs At KronosX , were building the AI-native data infrastructure layer for the next generation of enterprises especially in regulated industries like healthcare, insurance, and finance . In a world where AI is rewriting how businesses operate, one thing still holds them back: data chaos . Were changing that through automation, agentic AI, and deep domain understanding . Were a small team with early traction, bold ambitions, and a sharp focus on execution. If youre excited to shape the future of how enterprises interact with AI & Data and want your code to actually drive that change wed love to talk. ???? What you will do As a Full Stack Developer at KronosX, youll be responsible for owning feature delivery end-to-end from backend logic to frontend experience. Youll work closely with our Lead Architect and AI/ML engineers to build scalable, modular systems and ship product fast. Specifically, you will: Build and scale core product modules using Python, FastAPI, and React Integrate LLM agents into the data pipeline workflows Create clean, modular REST APIs and connect them to frontend UIs Build dashboards and interfaces to visualize AI transformations Collaborate with design, ML, and QA to ship features quickly and iterate often Work closely with UI designer to build the front-end. Optimize system performance for large-scale structured datasets Write clean, testable, maintainable code with good documentation ???? What you will work with Frontend : React (preferred), TypeScript, Tailwind Backend : Python (FastAPI or Flask), Postgres, Redis Infra : Docker, GitHub Actions (basic CI/CD), Linux AI layer : LangGraph, OpenAI APIs, Hugging Face, LLM agents ? Must-Haves 4+ years experience in full-stack or backend-heavy roles Strong in Python , REST APIs, and backend architecture Comfortable with frontend integration and clean UI handoff Experience working with structured data workflows Strong debugging, version control, and code hygiene habits Comfortable working in a fast-paced, ambiguous startup environment ???? Bonus (Nice-to-Haves) Exposure to LLM frameworks (LangChain, LlamaIndex, OpenAI APIs) Experience working on agent-based systems or prompt-driven pipelines Healthcare domain experience Familiarity with multi-tenant apps, async tasking (e.g., Celery, RQ), or basic DevOps ???? Why Join Us Be part of a founding team building core layer that will power the next wave of enterprise AI High ownership, zero bureaucracy your decisions will shape the product and platform from day one Work directly with experienced founder, AI/ML engineers, and real enterprise users Gain exposure to cutting-edge tech in agentic AI, LLM orchestration, and data automation Work on a real product with enterprise deployment, not POCs Join a startup with early U.S. traction, a global vision , and massive upside as we scale You grow with us : career growth, learning, and long-term rewards ???? This is an in-person role in Bangalore . We believe the best products come from tight collaboration in the early stages. ???? To apply, send your resume and GitHub (if available) to [HIDDEN TEXT] Show more Show less

We seek a Senior AI Developer skilled in OpenAI (GPT-4/GPT-4o) and Google Gemini to build advanced AI apps and agents. You'll lead LLM integrations, RAG pipelines, and GenAI solutions across industries in a fast-paced, innovative product team. Required Candidate profile 4+ yrs dev exp in GenAI/LLMs. Proficient in OpenAI, Gemini, Python, LangChain, vector DBs. Strong in RAG, prompt engineering, chatbot, cloud. Bonus: experience with Whisper, Gemini Pro, Hugging Face

You will work on the core infrastructure of the AI Assurance platform and assist in building internal tools to assess GenAI agents. Your main focus will involve constructing workflows, pipelines, and evaluation modules for text, SQL, and voice interactions. Your responsibilities will include building and managing LLM evaluation pipelines using technologies such as OpenAI, LangChain, and Pinecone. You will also be responsible for prototyping the AI Agent for PRD script conversion, developing telemetry dashboards, prompt diff tools, and contributing to Python-based observability SDKs. The preferred skills for this role include proficiency in Python, LangChain, and OpenAI APIs, as well as experience with vector databases, embedding models, Git, Docker, and Postman basics. A passion for agent-based systems or infrastructure tooling is highly desirable. As the ideal candidate, you should have an interest in exploring AI, ML, and other emerging domains, along with strong analytical and problem-solving abilities. Additionally, awareness of current trends in tech innovation and industry developments will be beneficial.,

You are an experienced Python Backend Engineer with a strong background in AWS and AI/ML. Your primary responsibility will be to design, develop, and maintain Python-based backend systems and AI-powered services. You will be tasked with building and managing RESTful APIs using Django or FastAPI for AI/ML model integration. Additionally, you will develop and deploy machine learning and GenAI models using frameworks like TensorFlow, PyTorch, or Scikit-learn. Your expertise in implementing GenAI pipelines using Langchain will be crucial, and experience with LangGraph is considered a strong advantage. You will leverage various AWS services such as EC2, Lambda, S3, SageMaker, and CloudFormation for infrastructure and deployment purposes. Collaborating with data scientists, DevOps, and architects to integrate models and workflows into production will be a key aspect of your role. Furthermore, you will be responsible for building and managing CI/CD pipelines for backend and model deployments. Ensuring the performance, scalability, and security of applications in cloud environments will be paramount. Monitoring production systems, troubleshooting issues, and optimizing model and API performance will also fall under your purview. To excel in this role, you must possess at least 5 years of hands-on experience in Python backend development. Your strong experience in building RESTful APIs using Django or FastAPI is essential. Proficiency in AWS cloud services, a solid understanding of ML/AI concepts, and experience with ML libraries are prerequisites. Hands-on experience with Langchain for building GenAI applications and familiarity with DevOps tools and microservices architecture will be beneficial. Additionally, having Agile development experience and exposure to tools like Docker, Kubernetes, Git, Jenkins, Terraform, and CI/CD workflows will be advantageous. Experience with LangGraph, LLMs, embeddings, and vector databases, as well as knowledge of MLOps tools and practices, are considered nice-to-have qualifications. In summary, as a Python Backend Engineer with expertise in AWS and AI/ML, you will play a vital role in designing, developing, and maintaining intelligent backend systems and GenAI-driven applications. Your contributions will be instrumental in scaling backend systems and implementing AI/ML applications effectively.,

You will be joining Kritrima Prajna Innovations Pvt Ltd, a transformative EdTech company revolutionizing STEM, AI, and robotics education through platforms like eduCOBOT and Innov8r. With a proven track record of impacting over 10,000 learners in India and East Africa, we are now gearing up to enhance our platforms with more scalability, intelligence, and AI integration. As our senior technical co-founder (CTO), you will play a pivotal role in shaping the future of our products and platforms. Your key responsibilities will include architecting and developing the next versions of eduCOBOT and Innov8r, leading full-stack development using technologies like React.js/Next.js, Node.js, and Python, overseeing the integration of microcontroller-based systems such as Arduino, ESP32, and IoT, managing cloud infrastructure on platforms like Firebase, Vercel, and AWS, designing and implementing agentic AI workflows leveraging OpenAI APIs and LangChain, as well as mentoring the engineering team to ensure successful scaling. The ideal candidate for this role would possess 7-10+ years of experience in full-stack/platform development, with a strong background in building scalable and modular platforms, proven leadership skills in guiding technical teams and making architectural decisions, hands-on experience in integrating hardware with software platforms, familiarity with AI/ML and agentic AI systems, a sound understanding of cloud services, APIs, and deployment workflows, and preferably prior exposure to startup or entrepreneurial environments. Being based in Mumbai or willingness to relocate full-time is essential for this position. In return, we offer a unique opportunity to have a significant co-founder equity stake and long-term ownership in a revenue-generating company that has already impacted a substantial number of learners. You will have the chance to lead the technological evolution and global scaling of our platforms, own the technology roadmap and product architecture, engage in a transparent and impact-driven partnership, and demonstrate a symbolic capital commitment that reflects our shared belief and long-term commitment.,

As a Software Engineer specializing in AI/ML/LLM/Data Science at Entra Solutions, a FinTech company within the mortgage Industry, you will play a crucial role in designing, developing, and deploying AI-driven solutions using cutting-edge technologies such as Machine Learning, NLP, and Large Language Models (LLMs). Your primary focus will be on building and optimizing retrieval-augmented generation (RAG) systems, LLM fine-tuning, and vector search technologies using Python. You will be responsible for developing scalable AI pipelines that ensure high performance and seamless integration with both cloud and on-premises environments. Additionally, this role will involve implementing MLOps best practices, optimizing AI model performance, and deploying intelligent applications. In this role, you will: - Develop, fine-tune, and deploy AI/ML models and LLM-based applications for real-world use cases. - Build and optimize retrieval-augmented generation (RAG) systems using Vector Databases such as ChromaDB, Pinecone, and FAISS. - Work on LLM fine-tuning, embeddings, and prompt engineering to enhance model performance. - Create end-to-end AI solutions with APIs using frameworks like FastAPI, Flask, or similar technologies. - Establish and maintain scalable data pipelines for training and inferencing AI models. - Deploy and manage models using MLOps best practices on cloud platforms like AWS or Azure. - Optimize AI model performance for low-latency inference and scalability. - Collaborate with cross-functional teams including Product, Engineering, and Data Science to integrate AI capabilities into applications. Qualifications: Must Have: - Proficiency in Python - Strong hands-on experience in AI/ML frameworks such as TensorFlow, PyTorch, Hugging Face, LangChain, and OpenAI APIs. Good to Have: - Experience with LLM fine-tuning, embeddings, and transformers. - Knowledge of NLP, vector search technologies (ChromaDB, Pinecone, FAISS, Milvus). - Experience in building scalable AI models and data pipelines with Spark, Kafka, or Dask. - Familiarity with MLOps tools like Docker, Kubernetes, and CI/CD for AI models. - Hands-on experience in cloud-based AI deployment using platforms like AWS Lambda, SageMaker, GCP Vertex AI, or Azure ML. - Knowledge of prompt engineering, GPT models, or knowledge graphs. What's in it for you - Competitive Salary & Full Benefits Package - PTOs / Medical Insurance - Exposure to cutting-edge AI/LLM projects in an innovative environment - Career Growth Opportunities in AI/ML leadership - Collaborative & AI-driven work culture Entra Solutions is an equal employment opportunity employer, and we welcome applicants from diverse backgrounds. Join us and be a part of our dynamic team driving innovation in the FinTech industry.,

The role of Data Scientist - Clinical Data Extraction & AI Integration in our healthcare technology team requires an experienced individual with 3-6 years of experience. As a Data Scientist in this role, you will be primarily focused on medical document processing and data extraction systems. You will have the opportunity to work with advanced AI technologies to create solutions that enhance the extraction of crucial information from clinical documents, thereby improving healthcare data workflows and patient care outcomes. Your key responsibilities will include designing and implementing statistical models for medical data quality assessment, developing predictive algorithms for encounter classification, and validation. You will also be responsible for building machine learning pipelines for document pattern recognition, creating data-driven insights from clinical document structures, and implementing feature engineering for medical terminology extraction. Furthermore, you will apply natural language processing (NLP) techniques to clinical text, develop statistical validation frameworks for extracted medical data, and build anomaly detection systems for medical document processing. Additionally, you will create predictive models for discharge date estimation, encounter duration, and implement clustering algorithms for provider and encounter classification. In terms of AI & LLM Integration, you will be expected to integrate and optimize Large Language Models via AWS Bedrock and API services, design and refine AI prompts for clinical content extraction with high accuracy, and implement fallback logic and error handling for AI-powered extraction systems. You will also develop pattern matching algorithms for medical terminology and create validation layers for AI-extracted medical information. Having expertise in the healthcare domain is crucial for this role. You will work closely with medical document structures, implement healthcare-specific validation rules, handle medical terminology extraction, and conduct clinical context analysis. Ensuring HIPAA compliance and adhering to data security best practices will also be part of your responsibilities. Proficiency in programming languages such as Python 3.8+, R, SQL, and JSON, along with familiarity with data science tools like pandas, numpy, scipy, scikit-learn, spaCy, and NLTK is required. Experience with ML Frameworks including TensorFlow, PyTorch, transformers, huggingface, and visualization tools like matplotlib, seaborn, plotly, Tableau, and PowerBI is desirable. Knowledge of AI Platforms such as AWS Bedrock, Anthropic Claude, OpenAI APIs, and experience with cloud services like AWS (SageMaker, S3, Lambda, Bedrock) will be advantageous. Familiarity with research tools like Jupyter notebooks, Git, Docker, and MLflow is also beneficial for this role.,

As an Agentic AI Research Engineer at Pranathi Software Services Pvt. Ltd., you will be part of a leading software product development company that specializes in cutting-edge technologies like AI, Machine Learning, and advanced automation. Our focus is on building next-generation intelligent systems powered by Agentic AI, and we are seeking passionate individuals to join our AI R&D team in Hyderabad. To be successful in this role, you should have a postgraduate degree (M.Tech/M.E./Ph.D.) in Computer Science, AI, Machine Learning, or a related field. You should also have strong experience with LLM-based agents, multi-agent systems, or reinforcement learning. Proficiency in Python and deep learning libraries such as PyTorch, TensorFlow, or JAX is essential. Hands-on experience with frameworks like LangChain, OpenAI APIs, AutoGPT, or Hugging Face Transformers will be beneficial. Additionally, a solid understanding of prompt engineering, agent reasoning strategies, and knowledge graphs is required. This is a full-time position based in Hyderabad, India, with opportunities for on-site or hybrid work arrangements. If you are excited about working on innovative AI projects and meet the qualifications mentioned above, we encourage you to share your resume with us at giribabu@pranathiss.com.,

You are a talented and experienced Senior Fullstack Engineer responsible for designing, developing, and maintaining robust and scalable AI-powered web applications with a strong focus on frontend development (60-70%) while also ensuring solid backend capabilities. You will collaborate closely with product managers, designers, and other engineers to create next-generation AI experiences like chat interfaces, LLM integrations, and intelligent user interactions. Your deep JavaScript expertise, strong React ecosystem knowledge, experience with AI/LLM technologies, and passion for building high-quality, maintainable solutions with cutting-edge AI capabilities are essential for this role. In this position, your responsibilities will include: - Building AI-powered chat applications, conversational interfaces, and intelligent user experiences - Designing and implementing complex AI workflows using technologies like LangGraph and multi-agentic architectures - Implementing monitoring, logging, and performance tracking for AI/LLM integrations - Designing, developing, and maintaining responsive web applications using React, Next.js, and TypeScript - Making strategic technical decisions about AI application structure, data flow patterns, and scalability solutions - Optimizing Core Web Vitals, bundle analysis, rendering performance, and AI response times - Developing and consuming RESTful APIs, GraphQL services, and LLM APIs with proper error handling and state management - Conducting code reviews, mentoring junior developers, and establishing frontend development standards - Translating business requirements into technical solutions and feasibility assessments - Developing comprehensive automated unit, integration, and end-to-end tests - Debugging complex production issues, memory leaks, race conditions, and cross-browser inconsistencies - Implementing authentication flows, XSS prevention, data privacy, and AI safety measures - Building and maintaining Node.js/Express.js APIs, database integrations, and AI service orchestration Requirements: - Bachelor's degree in Computer Science, Engineering, or related field - 5-8 years of experience in fullstack development with a frontend focus - Proven experience in building chat applications and conversational interfaces - Experience integrating with AI/ML APIs and LLM frameworks - Strong analytical, problem-solving, and technical communication skills - Excellent collaboration abilities and experience working in cross-functional teams Core Technical Expertise: Frontend Technologies: - Advanced JavaScript (ES6+, closures, prototypes, async patterns, event loop, browser APIs) - React.js with hooks, context, and modern patterns - Next.js including SSR, SSG, and App Router - TypeScript with deep understanding of type system - Component libraries (Ant Design or Material-UI) - State management solutions (Redux, React Query) Backend & Data: - Node.js & Express.js for API development - Database technologies (PostgreSQL, MongoDB, or MySQL) - RESTful APIs and GraphQL services AI/LLM Integration: - OpenAI APIs, LangChain, or similar frameworks - Streaming AI responses and error handling - Performance optimization for AI applications - Multi-agent system implementation Development Practices & Tools: - Modern testing frameworks (Jest, React Testing Library, Cypress) - Performance monitoring and debugging tools - Git version control and collaborative workflows - CI/CD pipelines and deployment automation - System architecture patterns and scalable application design - Security best practices including authentication flows and XSS prevention Performance & Optimization: - Core Web Vitals optimization - Bundle analysis and rendering performance - Memory management and browser-specific optimizations - Cross-browser compatibility and debugging Other Mandatory Requirements: - Experience in a product company, focusing on enterprise products with significant business impact or user base - Expertise in Python or JavaScript (Frontend or Backend) - Candidates must be based in Bangalore,

We are looking for a skilled and motivated Data Scientist with a strong background in backend development and AI/ML engineering. The ideal candidate should have experience in constructing, deploying, and expanding machine learning solutions using Python and modern ML frameworks. Responsibilities: - Develop and implement machine learning models, including advanced architectures like Large Language Models (LLMs). - Collaborate with various teams to create scalable AI-driven solutions using sound software engineering principles. - Utilize Python and object-oriented programming to build efficient, maintainable, and production-grade ML pipelines. - Work with popular ML frameworks such as TensorFlow, PyTorch, and Scikit-learn for model development and testing. - Integrate AI/ML models into applications via RESTful APIs while ensuring performance, scalability, and reliability. - Use tools like Hugging Face, LangChain, and OpenAI APIs for NLP and generative AI model development. - Manage containerized services using Docker for seamless deployment and reproducibility of ML solutions. - Follow best practices in version control (Git) and software development lifecycles to support collaborative and agile workflows. - Develop and maintain relational databases (e.g., MySQL, PostgreSQL, Oracle) to support data-driven applications. - Contribute to microservices-based architectures for AI/ML systems. - Apply agent communication protocols and multi-agent system design in relevant AI applications. - Analyze large datasets, extract actionable insights, and continuously improve models. Required Skills and Qualifications: - Minimum 4 years of experience in data science, machine learning, or backend development. - Proficiency in Python and solid foundations in object-oriented programming. - Hands-on experience with the entire machine learning model lifecycle, from training to production deployment and monitoring. - Understanding of scalable system design and microservices architecture. - Strong problem-solving skills, attention to detail, and knowledge of data structures and algorithms. - Excellent communication and collaboration abilities, with a knack for working in a dynamic team setting. Preferred Qualifications: - Expertise in Generative AI, particularly with Large Language Models (LLMs) like GPT and LLaMA. - Proficiency in prompt engineering, fine-tuning LLMs, and evaluating AI model performance. - Familiarity with AI system architecture, including orchestration frameworks and agent-based designs. - Experience with advanced AI tools, platforms, and APIs for scalable systems. - Strong communication skills and proven track record of effective collaboration in cross-disciplinary teams. - Knowledge of ethical AI principles, including model interpretability, fairness, responsible AI deployment, and ongoing monitoring.,

We are seeking a dedicated Data Scientist with a strong background in Natural Language Processing (NLP) and expertise in Large Language Models (LLMs). As a part of our team, you will play a crucial role in the development, optimization, and implementation of open-source and API-based LLMs to address real-world challenges. Your primary responsibilities will revolve around constructing resilient GenAI pipelines, innovative internal tools, and customer-centric applications. This position offers you a remarkable chance to be at the forefront of Artificial Intelligence advancements and make significant contributions to the evolution of intelligent systems through the utilization of Retrieval-Augmented Generation (RAG) frameworks, vector databases, and real-time inference APIs. Your responsibilities will include fine-tuning and enhancing open-source LLMs tailored to specific business sectors, building and managing RAG pipelines utilizing tools like LangChain, FAISS, and ChromaDB, creating LLM-powered APIs for applications like chatbots, Q&A systems, summarization, and classification, as well as designing effective prompt templates and implementing chaining strategies to augment LLM performance across diverse contexts. To excel in this role, you must possess a deep understanding of NLP principles and advanced deep learning techniques for text data, hands-on experience with LLM frameworks like Hugging Face Transformers or OpenAI APIs, familiarity with tools such as LangChain, FAISS, and ChromaDB, proficiency in developing REST APIs for machine learning models, proficiency in Python along with expertise in libraries such as PyTorch or TensorFlow, and a solid grasp of data structures, embedding techniques, and vector search systems. Desirable qualifications include prior experience in LLM fine-tuning and evaluation, exposure to cloud-based ML deployment on platforms like AWS, GCP, or Azure, and a background in information retrieval, question answering, or semantic search. If you are passionate about generative AI and eager to work with cutting-edge NLP and LLM technologies, we are excited to connect with you.,

As a Data Scientist at Objectways located in Chennai, you will have the opportunity to be part of a team that is driving AI innovation and solving real-world problems by leveraging cutting-edge machine learning and reasoning technologies. Our projects are ambitious and diverse, ranging from agent trajectory prediction to complex reasoning systems, multimodal intelligence, and preference-based learning. We are looking for a talented individual like you who is eager to explore the boundaries of applied AI. In this role, you will be responsible for designing and developing machine learning models for both structured and unstructured data. You will work on agent trajectory prediction, complex reasoning, preference ranking, and reinforcement learning. Additionally, you will handle multimodal datasets and develop reasoning pipelines across text, image, and audio modalities. Your responsibilities will also include validating and optimizing prompts for large language model performance and translating research into scalable, production-level implementations. Collaboration with cross-functional teams such as Engineering, Product, and Research is essential to ensure the success of our projects. To qualify for this position, you should have a minimum of 4 years of hands-on experience in Data Science or Machine Learning roles. Proficiency in Python, PyTorch/TensorFlow, scikit-learn, and ML lifecycle tools is required. You should also demonstrate expertise in at least one of the following areas: trajectory modeling, preference ranking, or multimodal systems. Experience with LLM prompt engineering, complex reasoning algorithms, graph-based methods, and causal inference is highly beneficial. Strong problem-solving, analytical thinking, and communication skills are essential for success in this role. Preferred skills for this position include familiarity with tools like LangChain, Hugging Face, or OpenAI APIs, exposure to RLHF (Reinforcement Learning from Human Feedback) or prompt-tuning, and experience with deploying ML models in production environments using technologies such as Docker and MLflow. By joining Objectways, you will have the opportunity to work on high-impact, next-generation AI challenges, collaborate with top talent from various domains, and enjoy a competitive salary with benefits and a learning budget.,

As a Data Scientist specializing in Natural Language Processing (NLP) and Large Language Models (LLMs), you will play a crucial role in designing, fine-tuning, and deploying cutting-edge open-source and API-based LLMs to address real-world challenges. Your primary focus will be on creating robust GenAI pipelines, innovative internal tools, and engaging client-facing applications. You will have the exciting opportunity to work at the forefront of AI technology, contributing to the advancement of intelligent systems through the utilization of Retrieval-Augmented Generation (RAG) frameworks, vector databases, and real-time inference APIs. Your responsibilities will include fine-tuning and optimizing open-source LLMs for specific business domains, constructing and managing RAG pipelines using tools like LangChain, FAISS, and ChromaDB, as well as developing LLM-powered APIs for diverse applications such as chat, Q&A, summarization, and classification. Additionally, you will be tasked with designing effective prompt templates and implementing chaining strategies to enhance LLM performance across various contexts. To excel in this role, you should possess a strong foundation in NLP fundamentals and deep learning techniques for text data, hands-on experience with LLM frameworks like Hugging Face Transformers or OpenAI APIs, and familiarity with tools such as LangChain, FAISS, and ChromaDB. Proficiency in developing REST APIs to support ML models, expertise in Python programming with knowledge of libraries like PyTorch or TensorFlow, and a solid grasp of data structures, embedding techniques, and vector search systems are also essential. Preferred qualifications include prior experience in LLM fine-tuning and evaluation, exposure to cloud-based ML deployment (AWS, GCP, Azure), and a background in information retrieval, question answering, or semantic search. If you are passionate about generative AI and eager to contribute to the latest developments in NLP and LLMs, we are excited to connect with you.,

Amplework Software is a full-stack development agency that specializes in providing end-to-end software development solutions to clients globally. The company is dedicated to delivering high-quality products that meet business requirements by utilizing advanced technologies. Their expertise includes custom software development, mobile applications, AI-driven solutions, and enterprise applications. By joining Amplework Software, you will become part of an innovative team that is focused on driving digital transformation through technology. As an Mid-Level Python and AI Engineer at Amplework Software, your responsibilities will include assisting in building and training machine learning models using frameworks like TensorFlow, PyTorch, and Scikit-Learn. You will have the opportunity to experiment with pre-trained AI models for NLP, Computer Vision, and Predictive Analytics. Additionally, you will work with both structured and unstructured data, conduct preprocessing, and engage in feature engineering. Collaboration with data scientists and software engineers to integrate AI solutions into real-world applications is a key aspect of this role. Continuously learning, experimenting, and optimizing models to enhance performance and efficiency is also part of the job. Ideal candidates for this position should possess a strong foundation in Python, basic machine learning concepts, and a willingness to learn. Required qualifications include a Bachelor's degree in Computer Science, Engineering, AI, or a related field, proficiency in Python with experience in writing optimized and clean code, strong problem-solving skills, and an understanding of machine learning concepts such as linear regression, classification, decision trees, and feature engineering. Experience with data processing libraries like Pandas, NumPy, and Matplotlib, as well as basic knowledge of AI models and neural networks using frameworks such as Scikit-Learn, TensorFlow, or PyTorch are also required. Preferred qualifications for this role include experience with Natural Language Processing (NLP) using transformers, BERT, GPT, or OpenAI APIs, basic understanding of AI model deployment using Flask, FastAPI, or TensorFlow Serving, experience with SQL or NoSQL databases for querying datasets in AI applications, and participation in AI-related competitions, hackathons, or open-source projects. In addition to technical skills, soft skills and work ethics are also important for this role. Candidates should have a strong analytical and problem-solving mindset, the ability to work collaboratively in a team, communicate technical concepts effectively, eagerness to learn and apply new AI techniques, and excellent English communication skills, both written and verbal. Candidates who prefer strictly rule-based programming without flexibility for AI experimentation may not be suitable for this position due to the requirement for strong problem-solving skills and quick learning abilities. A face-to-face interview will be conducted, and applicants should only apply if they are able to attend the interview at the office. Joining the Amplework Software team offers the opportunity to be part of a passionate and collaborative team, work on cutting-edge projects, make a real impact, enjoy competitive benefits, and experience a great working environment.,

My profile - linkedin.com/in/yashsharma1608 Location: Noida, Sector 9 Working Days: 5 / 6 days a week (depending on interview) Joining: Immediate Joiners Preferred Python Developer (AI Platforms Trading, Indicators & Automation) Minimum 2 Years About the Role We're looking for a talented Python Developer to help drive the backend and AI logic behind high-growth platforms: This is a versatile role where youll work on data ingestion, AI workflows, API integration, signal generation, backend services, and task automation. Key Responsibilities Develop and maintain Python-based APIs and backend services using FastAPI or Flask Build and manage AI pipelines (e.g. signal generation, retraining, inference logging) Integrate with trading APIs, charting libraries, and third-party tools Work on Pine Script data handling, indicator signal syncing, and confidence scoring logic Implement automation tools for social content generation, scheduling, and analytics Collaborate with frontend, data, and AI teams for end-to-end feature delivery Required Skills 2+ years of hands-on Python development Experience with FastAPI, Flask, or similar frameworks Strong understanding of REST APIs and async workflows Familiarity with task queues (Celery/Redis), logging, and cron automation Exposure to NumPy, pandas, or similar data processing tools Experience integrating with third-party APIs (e.g. TradingView, Twitter, Telegram) Bonus Skills Basic experience with Pine Script or Trading Indicators Familiarity with ML tools (e.g. scikit-learn, HuggingFace, OpenAI APIs) Knowledge of financial data formats, charting, and signal evaluation Hands-on with strategy backtesting, WebSocket feeds, or real-time alerts

We're hiring a passionate Data Scientist / GenAI Engineer to join our AI-first team working on LLMs, RAG pipelines, NLP features, and GenAI use cases like chatbots, recommendation engines, and smart automation.

Here is how, through this exciting role, YOU will contribute to BMC's and your own success: Assist in developing AI-powered QA automation tools using LLMs Collaborate with QA engineers to understand test requirements and translate them into automated scripts Use LLMs to generate test cases, validation scripts, and test data automatically Maintain, debug, and optimize automated test scripts and frameworks Integrate LLM-based solutions into existing CI/CD pipelines and QA workflows Document automation processes and assist with training teams on new AI-driven QA tools Continuously research and apply advancements in LLMs and AI for QA improvements To ensure youre set up for success, you will bring the following skillset & experience: You have 3-5 years for software development experience You have experince of basic programming skills in Python, JavaScript, or relevant languages for automation You have understanding of software testing concepts and QA automation tools (e.g., Selenium, Cypress, JUnit) You have some experience in AI, NLP, or machine learning concepts You are familiarity with version control systems such as Git You have strong problem-solving skills and ability to learn quickly in a dynamic environment Whilst these are nice to have, our team can help you develop in the following skills: Experience with AI/ML frameworks like PyTorch or TensorFlow Familiarity with Large Language Models such as GPT, BERT, or OpenAI APIs Knowledge of continuous integration tools (Jenkins, GitHub Actions) Exposure to writing or maintaining automated test frameworks Understanding of cloud environments for deploying automation solutions