

Similar jobs
Key Responsibilities
- Develop and maintain backend services and APIs using Java (Spring Boot preferred).
- Integrate Large Language Models (LLMs) and Generative AI models (e.g., OpenAI, Hugging Face, LangChain) into applications.
- Collaborate with data scientists to build data pipelines and enable intelligent application features.
- Design scalable systems to support AI model inference and deployment.
- Work with cloud platforms (AWS, GCP, or Azure) for deploying AI-driven services.
- Write clean, maintainable, and well-tested code.
- Participate in code reviews and technical discussions.
Required Skills
- 3–5 years of experience in Java development (preferably with Spring Boot).
- Experience working with RESTful APIs, microservices, and cloud-based deployments.
- Exposure to LLMs, NLP, or GenAI tools (OpenAI, Cohere, Hugging Face, LangChain, etc.).
- Familiarity with Python for data science/ML integration is a plus.
- Good understanding of software engineering best practices (CI/CD, testing, etc.).
- Ability to work collaboratively in cross-functional teams.




🚀 Were Hiring: Staff Engineer – Computer Vision & Machine Learning 🚀
📍 Location: Gurugram
💼 Experience: 7-10 Years
About the Role
We are seeking a passionate Computer Vision and Machine Learning expert to develop advanced solutions in medical imaging. If you’re excited about challenges like image segmentation, object detection, and 3D reconstruction, let’s connect!
Mandatory Technical Skills:
✅ Programming Languages: Proficiency in C++, Python, and C#.
✅ Computer Vision Expertise: Experience with OpenCV for tasks such as:
- Image Segmentation
- Object Detection
- Pattern Recognition
- 3D Reconstruction
- ✅ ML/DL Frameworks: Proficiency in TensorFlow, PyTorch; hands-on experience with models like YOLO, U-Net, ResNet, VGG.
- ✅ Image Processing: Strong understanding of:
- Color-space transformations
- Histogram/Contrast enhancement
- Morphology and frequency domain filtering
- ✅ Medical Imaging Knowledge: Familiarity with modalities like CT, MRI, Ultrasound.
- ✅ Algorithms & Data Structures: Solid problem-solving, optimization, and analytical skills.
Additional Preferred Skills:
🔹 Advanced C++ (STL, multithreading, design patterns).
🔹 Python libraries: Numpy, Pandas, Scikit-learn.
🔹 Knowledge of tools like VTK, ITK, or MITK.
🔹 Understanding of healthcare regulations (e.g., FDA, CE).
Why This Role?
You’ll build cutting-edge Computer Vision and Machine Learning solutions for healthcare, making a meaningful impact on lives.



We're looking for AI/ML enthusiasts who build, not just study. If you've implemented transformers from scratch, fine-tuned LLMs, or created innovative ML solutions, we want to see your work!
Make Sure before Applying (GitHub Profile Required):
1. Your GitHub must include:
- At least one substantial ML/DL project with documented results
- Code demonstrating PyTorch/TensorFlow implementation skills
- Clear documentation and experiment tracking
- Bonus: Contributions to ML open-source projects
2. Pin your best projects that showcase:
- LLM fine-tuning and evaluation
- Data preprocessing pipelines
- Model training and optimization
- Practical applications of AI/ML
Technical Requirements:
- Solid understanding of deep learning fundamentals
- Python + PyTorch/TensorFlow expertise
- Experience with Hugging Face transformers
- Hands-on with large dataset processing
- NLP/Computer Vision project experience
Education:
- Completed/Pursuing Bachelor's in Computer Science or related field
- Strong foundation in ML theory and practice
Apply if:
- You have done projects using GenAI, Machine Learning, Deep Learning.
- You must have strong Python coding experience.
- Someone who is available immediately to start with us in the office(Hyderabad).
- Someone who has the hunger to learn something new always and aims to step up at a high pace.
We value quality implementations and thorough documentation over quantity. Show us how you think through problems and implement solutions!

Are you passionate about building scalable AI-driven systems and leveraging technologies like RAG, prompt engineering, and multi-agentic architectures? Do you have a strong foundation in Python and FastAPI, with experience in integrating AI solutions using the CrewAI framework and Weaviate DB? If so, Pullse is the place for you!
We are looking for an AI Developer with at least one year of experience in AI-driven solutions to join our team. This role involves designing, developing, and optimizing AI-powered backend services using Python, FastAPI, and integrating AI capabilities for advanced tasks.
About Pullse
Pullse is a cutting-edge SaaS startup on a mission to revolutionize customer support with AI-driven solutions. Our platform centralizes support channels, streamlines workflows, and enhances customer experiences with automation. We believe in empowering our team with freedom, transparency, and the opportunity to make a meaningful impact.
The Role
As an AI Developer, you will play a crucial role in designing, developing, and optimizing our AI-powered backend services, ensuring high performance, scalability, and reliability. Your primary responsibilities will include:
- API Development: Design, build, and maintain scalable APIs using Python and FastAPI.
- AI Integration: Integrate AI technologies like RAG (Retrieve, Augment, Generate) and CrewAI for advanced data processing and prompt engineering to enhance AI model interactions.
- Multi-Agent Systems: Develop and implement multi-agentic architectures to simulate complex interactions and decision-making processes.
- Vector Databases: Work with Weaviate DB to store and query dense vector representations for efficient similarity searches and AI model outputs.
- Real-Time Functionality: Implement real-time updates using WebSockets or similar technologies.
- Database Management: Develop and optimize database schemas and queries using PostgreSQL.
- Collaboration: Collaborate with cross-functional teams to design and implement new features.
- Code Quality: Ensure high code quality, security, and performance optimization.
- Testing: Participate in code reviews and contribute to improving engineering processes.
Our Tech Stack
- Backend: Python, FastAPI
- Database: PostgreSQL
- AI Focus: RAG, Prompt Engineering, Multi-Agent Systems, Weaviate DB, CrewAI
- Real-Time Communication: WebSockets
Who You Are
- Experience: At least one year of experience in backend development with Python and FastAPI.
- AI Expertise: Strong experience with AI technologies, including RAG, prompt engineering, and multi-agentic architectures. Familiarity with the CrewAI framework and Weaviate DB is a plus.
- Database Skills: Familiarity with PostgreSQL and database design principles.
- Problem-Solver: Analytical thinker with a knack for solving complex challenges.
- Team Player: Excellent communication skills and a collaborative mindset.
- Learner: Passion for learning and staying updated with the latest AI technologies.
What We Offer
- Competitive Salary: Up to INR 10 LPA.
- Equity: Additional equity options to share in our growth journey.
- Growth Opportunities: Be part of an early-stage startup where your work directly impacts the product and company.
- Flexibility: Work remotely with a supportive and dynamic team.
- AI Focus: Opportunity to work on cutting-edge AI projects and contribute to the future of customer support.
Join us in redefining customer support with AI! 🚀


Must have:
- 8+ years of experience with a significant focus on developing, deploying & supporting AI solutions in production environments.
- Proven experience in building enterprise software products for B2B businesses, particularly in the supply chain domain.
- Good understanding of Generics, OOPs concepts & Design Patterns
- Solid engineering and coding skills. Ability to write high-performance production quality code in Python
- Proficiency with ML libraries and frameworks (e.g., Pandas, TensorFlow, PyTorch, scikit-learn).
- Strong expertise in time series forecasting using stat, ML, DL and foundation models
- Experience of working on processing time series data employing techniques such as decomposition, clustering, outlier detection & treatment
- Exposure to generative AI models and agent architectures on platforms such as AWS Bedrock, Crew AI, Mosaic/Databricks, Azure
- Experience of working with modern data architectures, including data lakes and data warehouses, having leveraged one or more of the frameworks such as Airbyte, Airflow, Dagster, AWS Glue, Snowflake,, DBT
- Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying ML models in cloud environments.
- Excellent problem-solving skills and the ability to work independently as well as in a collaborative team environment.
- Effective communication skills, with the ability to convey complex technical concepts to non-technical stakeholders
Good To Have:
- Experience with MLOps tools and practices for continuous integration and deployment of ML models.
- Has familiarity with deploying applications on Kubernetes
- Knowledge of supply chain management principles and challenges.
- A Master's or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field is preferred


- Work on a chatbot framework/architecture using an open-source tool or library
- Implement Natural Language Processing (NLP) for chatbots
- Integration of chatbots with Management Dashboards and CRMs
- Resolve complex technical design issues by analyzing the logs, debugging code, and identifying technical issues/challenges/bugs in the process
- Deploy applications using CI/CD tools
- Designing and building highly scalable AI and ML solutions
- Ability to understand business requirements and translate them into technical requirements
- Open-minded, flexible, and willing to adapt to changing situations
- Ability to work independently as well as on a team and learn from colleagues
- High adaptability in a dynamic start-up environment.
- Experience with bot multi-lingual utilization (preferred)
- Experience with bot human escalation
- Ability to optimize applications for maximum speed and scalability
- Come up with new approaches and ideas to improve the current performance of Chatbots across multiple domains and build a highly personalized user experience.
QUALIFICATIONS : B. Tech/ B.E. /M. Tech or a related technical discipline from reputed universities
SKILLS REQUIRED :
- Minimum 3+ years- of experience in Chatbot Development using the Rasa open-source framework.
- Hands-on experience building and deploying chatbots.
- Experience in Conversational AI platforms for enterprises using ML and Deep Learning.
- Experience with both text to speech and vice versa transformation incorporation.
- Should have a good understanding of various Chatbot frameworks/platforms/libraries.
- Build and evolve/train the NLP platform from natural language text data being gathered from users on a daily basis.
- Code using primarily Python.
- Experience with bots for platforms like Facebook Messenger, Slack, Twitter, WhatsApp, etc.
- Knowledge of digital assistants such as Amazon Alexa, Google Assistant, etc.
- Experience in applying different NLP techniques to problems such as text. classification, text summarization, question & answering, information retrieval, knowledge extraction, and conversational bots design potentially with both traditional & Deep Learning
- Techniques - NLP Skills/Tools: NLP, HMM, MEMM, P/LSA, CRF, LDA, Semantic Hashing, Word2Vec, Seq2Seq, spaCy, Nltk, Gensim, Core NLP, NLU, NLG, etc.
- Should be familiar with these terms: Tokenization, N-Grams, Stemmers, lemmatization, Part of speech tagging, entity resolution, ontology, lexicology, phonetics, intents, entities, and context.
- Knowledge of SQL and NoSQL Databases such as MySQL, MongoDB, Cassandra, Redis, PostgreSQL
- Experience with working on public cloud services such as Digital Ocean, AWS, Azure, or GCP.
- Knowledge of Linux shell commands.
- Integration with Chat/Social software like Facebook Messenger, Twitter, SMS.
- Integration with Enterprise systems like Microsoft Dynamics CRM, Salesforce, Zendesk, Zoho, etc.
MUST HAVE :
- Strong foundation in the python programming language.
- Experience with various chatbot frameworks especially Rasa and Dialogflow.
- Strong understanding of other AI tools and applications like TensorFlow, Spacy, and Google Cloud ML is a BIG plus.
- Experience with RESTful services.
- Good understanding of HTTPS and Enterprise security.

Responsibilities:
• Develop computer vision systems for enterprises to be used by hundreds of our
customers
• Enhance existing Computer vision systems to achieve high performance
• Prototype new algorithms rapidly, iterating to achieve high levels of performance
• Package these prototypes as robust models written in production level code to be
integrated into the product
• Work closely with the ML engineers to explore and enhance new product features
leading to new areas of business
Requirements:
Strong understanding of linear algebra, optimisation, probability, statistics
• Experience in the data science methodology from exploratory data analysis, feature
engineering, model selection, deployment of the model at scale and model evaluation
• Background in machine learning with experience in large scale training and
convolutional neural networks
• Deep understanding of evaluation metrics for different computer vision tasks
• Knowledge of common architectures for various computer vision tasks like object
detection, recognition, and semantic segmentation
• Experience with model quantization is a plus
• Experience with Python Web Framework (Django/Flask/FastAPI), Machine Learning
frameworks like Tensorflow/Keras/Pytorch






