
- Developing chatbots and voice assistants on various platforms for diverse business use-cases
- 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.

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ROLES AND RESPONSIBILITIES:
You'll work closely with our team to implement best practices, improve our architecture, and create a high-performance engineering culture. Over a 6–9-month period, you'll also immerse yourself in game development, Unity, and C# to become a well-rounded technical leader in the gaming space.
- Drive maximum development velocity through direct involvement in development sprints, ensuring developers work as efficiently and effectively as possible.
- Lead and mentor a team of engineers, fostering a culture of technical excellence and continuous improvement.
- Drive architectural decisions that ensure scalable, maintainable, and high-performance game products.
- Foster a high-performance engineering culture aligned with ambitious goals, accountability, and proactive problem-solving.
- Implement and enforce engineering best practices (e.g., code reviews, testing, documentation) and the adoption of new tools, technologies including AI, and methodologies to optimize team efficiency.
- Transition our team to a high-performance culture aligned with our ambitious, venture-backed goals.
IDEAL CANDIDATE:
- 8+ years of software engineering experience with at least 3+ years in a technical leadership role
- Ability to reasonably estimate and plan tasks and features.
- Strong programming fundamentals and hands-on coding abilities
- Strong grasp of software architecture, TDD, code reviews, and clean coding principles.
- Proficient at profiling games to identify bottlenecks and performance issues.
- Experience building complex, scalable software systems
- Proven track record of driving architectural decisions and technical excellence
- Experience mentoring and developing engineering talent
- Strong problem-solving skills and attention to detail
- Excellent communication skills and ability to explain complex technical concepts
- Experience with agile development methodologies
- Bachelor's degree in computer science, Engineering, or equivalent practical experience
PERKS, BENEFITS AND WORK CULTURE:
- We foster a culture of continuous learning.
- We value talent and the ability for significant self-improvement.
- Honest feedback and transparency across all departments allow for rapid skill development.
- You will have the opportunity to work on an exciting new game development product with complete autonomy.
Quidcash is seeking a skilled Backend Developer to architect, build, and optimize mission-critical financial systems. You’ll leverage your expertise in JavaScript, Python, and OOP to develop scalable backend services that power our fintech/lending solutions. This role offers
the chance to solve complex technical challenges, integrate cutting-edge technologies, and directly impact the future of financial services for Indian SMEs.
If you are a leader who thrives on technical challenges, loves building high-performing teams, and is excited by the potential of AI/ML in fintech, we want to hear from you!
What You ll Do:
Design & Development: Build scalable backend services using JavaScript(Node.js) and Python, adhering to OOP principles and microservices architecture.
Fintech Integration: Develop secure APIs (REST/gRPC) for financial workflows(e.g., payments, transactions, data processing) and ensure compliance with regulations (PCI-DSS, GDPR).
System Optimization: Enhance performance, reliability, and scalability of cloud- native applications on AWS.
Collaboration: Partner with frontend, data, and product teams to deliver end-to-end features in Agile/Scrum cycles.
Quality Assurance: Implement automated testing (unit/integration), CI/CD pipelines, and DevOps practices.
Technical Innovation: Contribute to architectural decisions and explore AI/ML integration opportunities in financial products.
What You'll Bring (Must-Haves):
Experience:
3–5 years of backend development with JavaScript (Node.js) and Python.
Proven experience applying OOP principles, design patterns, and micro services.
Background in fintech, banking, or financial systems (e.g., payment gateways, risk engines, transactional platforms).
Technical Acumen:
Languages/Frameworks:
JavaScript (Node.js + Express.js/Fastify)
Python (Django/Flask/FastAPI)
Databases: SQL (PostgreSQL/MySQL) and/or NoSQL (MongoDB/Redis).
Cloud & DevOps: AWS/GCP/Azure, Docker, Kubernetes, CI/CD tools (Jenkins/GitLab).
Financial Tech: API security (OAuth2/JWT), message queues (Kafka/RabbitMQ), and knowledge of financial protocols (e.g., ISO 20022).
Mindset:
Problem-solver with a passion for clean, testable code and continuous improvement.
Adaptability in fast-paced environments and commitment to deadlines.
Collaborative spirit with strong communication skills.
Why Join Quidcash?
Impact: Play a pivotal role in shaping a product that directly impacts Indian SMEs' business growth.
Innovation: Work with cutting-edge technologies, including AI/ML, in a forward-thinking environment.
Growth: Opportunities for professional development and career advancement in a growing company.
Culture: Be part of a collaborative, supportive, and brilliant team that values every contribution.
Benefits: Competitive salary, comprehensive benefits package, and be a part of the next fintech evolution.
If you are interested, pls share your profile to smithaquidcash.in
We are looking for a Technical Lead - GenAI with a strong foundation in Python, Data Analytics, Data Science or Data Engineering, system design, and practical experience in building and deploying Agentic Generative AI systems. The ideal candidate is passionate about solving complex problems using LLMs, understands the architecture of modern AI agent frameworks like LangChain/LangGraph, and can deliver scalable, cloud-native back-end services with a GenAI focus.
Key Responsibilities :
- Design and implement robust, scalable back-end systems for GenAI agent-based platforms.
- Work closely with AI researchers and front-end teams to integrate LLMs and agentic workflows into production services.
- Develop and maintain services using Python (FastAPI/Django/Flask), with best practices in modularity and performance.
- Leverage and extend frameworks like LangChain, LangGraph, and similar to orchestrate tool-augmented AI agents.
- Design and deploy systems in Azure Cloud, including usage of serverless functions, Kubernetes, and scalable data services.
- Build and maintain event-driven / streaming architectures using Kafka, Event Hubs, or other messaging frameworks.
- Implement inter-service communication using gRPC and REST.
- Contribute to architectural discussions, especially around distributed systems, data flow, and fault tolerance.
Required Skills & Qualifications :
- Strong hands-on back-end development experience in Python along with Data Analytics or Data Science.
- Strong track record on platforms like LeetCode or in real-world algorithmic/system problem-solving.
- Deep knowledge of at least one Python web framework (e.g., FastAPI, Flask, Django).
- Solid understanding of LangChain, LangGraph, or equivalent LLM agent orchestration tools.
- 2+ years of hands-on experience in Generative AI systems and LLM-based platforms.
- Proven experience with system architecture, distributed systems, and microservices.
- Strong familiarity with Any Cloud infrastructure and deployment practices.
- Should know about any Data Engineering or Analytics expertise (Preferred) e.g. Azure Data Factory, Snowflake, Databricks, ETL tools Talend, Informatica or Power BI, Tableau, Data modelling, Datawarehouse development.
About the Company:
We are a Series A funded Indonesian online group buying platform that helps people connect with like minded people who want to buy the same item/product at a discounted price. The team is spread across India and Indonesia, and is led by experienced founders who have founded, set-up, scaled and exited businesses across India and Indonesia. We have raised our first round of funding, and are growing extremely fast. We are actively looking for Full Stack developers to join our team.
Job Duties and Responsibilities
We are looking for an experienced full-stack engineer to implement both back-end and front-end software solutions to serve both internal and external customers. The position entails working in an agile team to develop Java- and React-based projects that support our system.
- Design, implement and test full-stack solutions using Java, Spring and React
- Design robust spring system that can support 2-5mil users.
- Work alongside other team members to integrate various components into finished product
- Work closely with product owner to create stories
- Continuously create new and interactive features that would help to improve user experience and user engagement.
- Assist with troubleshooting of issues as needed
- Participate in the design and architecture of software solutions
- Assist in developing and maintaining continuous integration pipelines
Salary range : 15 lpa - 30 lpa or more depending on candidate experience.
Skills required :
You will be best qualified if you have experience with several (not all) of the following:
- JAVA
- Python (Flask and Django)
- Spring/Spring Boot
- React
- Hibernate
- Linux
- REST
- Kafka
- Mysql
- AWS
- ELK Stack (Elasticsearch)
- CI/CD Pipelines
Qualifications:
- 2+ years of experience in Java based technologies
- 1+ years of experience in Python
- Experience in designing databases and system architecture
- 1+ years of experience in Front end technologies like HTML, CSS, JavaScript and ReactJs
Why join us?
- You will get to work with an experienced team who has worked in multiple startups.
- Experimenting is the name of the game. And POCs are the snacks that fuel them.
- Grow with us. It is a family
- Gain exposure to two of the fastest growing markets in the world - South East Asia and Social Commerce
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
Type, Location: Remote, India
Desired Experience: 2+ years
Roles and Responsibilities :
- Hands-on GoLang development
- Go Lang developers perform tasks related to the design, development, modification, and administration of software systems and applications.
- Comfortable with algorithm design, scripting, and unit testing.
- Demonstrated skills in debugging, design patterns, and enterprise resource planning.
- Is skilled at problem-solving.
Must have skills :
● You must have 2+ years Golang experience.
● You must have (React.js or Node.js or Python or Java )experience.
● You must have any Frontent or Backend Technology with Golang
Hi All,
We are hiring!!
Company: SpringML India Pvt Ltd.
Role:Lead Data Engineer
Location: Hyderabad
Website: https://springml.com/">https://springml.com/
About Company:
At SpringML, we are all about empowering the 'doers' in companies to make smarter decisions with their data. Our predictive analytics products and solutions apply machine learning to today's most pressing business problems so customers get insights they can trust to drive business growth.
We are a tight-knit, friendly team of passionate and driven people who are dedicated to learning, get excited to solve tough problems and like seeing results, fast. Our core values include placing our customers first, empathy and transparency, and innovation. We are a team with a focus on individual responsibility, rapid personal growth, and execution. If you share similar traits, we want you on our team.
What's the opportunity?
SpringML is looking to hire a top-notch Lead Data Engineer who is passionate about working with data and using the latest distributed framework to process large dataset.
As a Lead Data Engineer, your primary role will be to design and build data pipelines. You will be focused on helping client projects on data integration, data prep and implementing machine learning on datasets.
In this role, you will work on some of the latest technologies, collaborate with partners on early win, consultative approach with clients, interact daily with executive leadership, and help build a great company. Chosen team members will be part of the core team and play a critical role in scaling up our emerging practice.
Responsibilities:
- Ability to work as a member of a team assigned to design and implement data integration solutions.
- Build Data pipelines using standard frameworks in Hadoop, Apache Beam and other open-source solutions.
- Learn quickly – ability to understand and rapidly comprehend new areas – functional and technical – and apply detailed and critical thinking to customer solutions.
- Propose design solutions and recommend best practices for large scale data analysis
Skills:
- B.tech degree in computer science, mathematics or other relevant fields.
- 6+years of experience in ETL, Data Warehouse, Visualization and building data pipelines.
- Strong Programming skills – experience and expertise in one of the following: Java, Python, Scala, C.
- Proficient in big data/distributed computing frameworks such as Apache Spark, Kafka,
- Experience with Agile implementation methodology
✔ Defining the over all architecture and choose the best stack, components, and
subsystems for search & storage infrastructure
✔ Design & build user-friendly APIs for accessing the backend infrastructure
✔ Active mentoring on engineering best practices, reducing technical debt and
designing scale ready solutions.
✔ Proactively identify architectural gaps and enhancements and recommending
appropriate solutions.
✔ Work closely with the product and customer teams to effectively drive innovative
solutions and drive adoption of features.
Requirements
✔ Experience level 4+ years.
✔ A bachelor's or master’s degree in Computer Science/Software Engineering
✔ Production experience with a scalable search engine or building storage
infrastructure for scaled out consumer companies.
Nice to have: python
Must frameworks and technologies: Springboot, kafka, MQTT, docker/kubernetes, REST APIs
Persistence layer: MongoDB, Elastic Search, Any GraphDB (Neo4j/Arango), SQL, HBase
Must have: Exposure in large scale architecture (Concept of queues, micro services, functional programming)
Must have: Strong Data structure and design principles
Expert in developing Node.js applications, Strong understanding of NPM and modular application development skills building, Proficiency and hands-on experience with Node.js, Express, Sockets, MongoDB/Elasticsearch/Redis/MySQL, Apache Kafka/Google PubSub, Experience of working in MEAN Stack is a plus)








