Machine Learning (ML)
Shubham Vishwakarma
Full Stack Developer - Averlon
About CONCERTO.AI
About
Concerto AI is a global Enterprise AI company founded by a team of people with deep enterprise knowledge and expertize in AI technologies. Our products incorporate the state-of-the-art AI technologies such as fact extraction from unstructured data, deep QA, dialog management, behavioral modeling, personalization and recommendation.
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PHP
NodeJS (Node.js)
Laravel
MongoDBJob Title : Principal Backend Engineer (AI-Driven)
Experience : 10+ Years
Location : Chandigarh
Tech Stack : PHP, Node.js, Laravel, MySQL, MongoDB
Additional Requirement : Hands-on experience with AI technologies, APIs, or ML integrations
Role Overview :
We're looking for a Principal Backend Engineer (AI-Driven) to design and lead scalable backend systems while driving AI adoption across products.
The role involves integrating AI-powered features, architecting intelligent systems, and mentoring engineering teams on modern backend and AI implementation.
Key Responsibilities :
- Design and lead backend architecture using PHP (Laravel/CodeIgniter) and Node.js
- Build scalable microservices / modular backend systems
- Develop APIs and backend workflows for AI-driven features
- Integrate AI APIs (OpenAI, LangChain or similar frameworks)
- Work with LLMs, embeddings, vector databases, and AI pipelines
- Ensure performance, scalability, and security of backend systems
- Mentor engineering teams and drive backend + AI best practices
Requirements :
- 10+ years of backend development experience
- Strong expertise in PHP / Node.js, MySQL, MongoDB
- Hands-on experience integrating AI/ML APIs or AI-powered features
- Strong system design and architecture skills
- Experience leading engineering teams
Good to Have :
- Prompt engineering or AI cost optimization
- Exposure to MLOps / ML pipelines
PythonDescription :
Job Title : Python Engineer- AI Agents & Code Optimization
Experience : 2+ Years
Employment Type : Full-time
Location : Remote
About the Role :
We are looking for a hands-on Software Engineer to build and improve AI agents that work directly on our production code.
Your core responsibility will be to design and evolve a specialized AI agent that deeply understands our codebase and actively helps make it faster, cleaner, simpler, and cheaper to maintain.
This is not a research role. This is real work on real systems with real business impact.
How We Work :
- Business impact first : Cheaper, Faster, Better
- Simple beats complex always
- Small changes, shipped fast
- You own your work end-to-end
- First question is always : Do we even need this?
- Flat team, zero micromanagement
- Decisions can change adaptability matters
- No long PRDs : one clear goal ? discuss ? execute
- Ship, measure, improve, repeat
What You Will Do :
- Build and use AI agents to optimize, refactor, and remove code
- Feed logs, metrics, and performance data back into AI agents
- Profile applications and identify performance bottlenecks
- Optimize SQL queries and database usage
- Improve deployment pipelines and release processes
- Continuously improve internal AI tooling
- Work closely with infrastructure and production systems
Tech You Should Be Comfortable With :
You dont need to be an expert in everything, but you should be comfortable working with :
- Linux CLI (Required)
- Python
- PHP
- SQL (MySQL or MariaDB)
- Shell scripting
- Large Language Models (LLMs)
What Were Looking For :
- 2+ years of software engineering experience (or strong hands-on projects)
- Solid understanding of performance optimization
- Experience cleaning up legacy or messy codebases
- Practical profiling and debugging skills
- Comfortable working close to infrastructure and deployments
- Automation-first mindset
- Ability to explain technical decisions clearly and simply in English
Nice to Have :
- Experience building AI agents
- Exposure to large or long-running systems
- CI/CD or deployment automation experience
When You Join :
- Career Growth : You are expected to grow into a tech lead, entrepreneur, or highly skilled specialist
- Bleeding-Edge Tech : Hands-on experience with alpha/beta software, cutting-edge infrastructure, and top tier hardware
- Global Exposure : Work with a global team and directly with C-level leadership
- Real Impact : Your code directly solves real user problems and moves the company forward
Django
FlaskPython
Amazon Web Services (AWS)Your responsibilities as a backend engineer will include:
- Back-end software development
- Software engineering and designing data models and write effective APIs
- Working together with engineers and product teams
- Understanding business use cases and requirements for different internal teams
- Maintenance of existing projects and New feature development
- Consume and integrate classifier/ ML snippets from Data science team
What we are looking for:
- 4+ years of industry experience with the Python and Django framework.
- Degree in Computer Science or related field
- Good analytical skills with strong fundamentals of data structures and algorithms
- Experience building backend services with hands-on experience through all stages of Agile software development life cycle.
- Ability to write optimized codes,debug programs, and integrate applications with third party tools by developing various APIs
- Experience with Databases (Relational and Non-Relational). Ex: Cassandra, MongoDB, Postgresql
- Experience with writing REST-APIs.
- Prototyping initial collection and leveraging existing tools and/or creating new tools
- Experience working different types of datasets (e.g. unstructured, semi-structured, with missing information)
- Ability to think critically and creatively in a dynamic environment, while picking up new tools and domain knowledge along the way
- A positive attitude, and a growth mindset
Bonus:
- Experience with relevant Python libraries such as Sklearn, NLTK, tensorflow, HuggingFace Transformers
- Hands on experience in Machine learning implementations
- Experience with Cloud infrastructure (e.g. AWS) and relevant microservices
- Good with Humor and Team player
PythonDjangoFlask- 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.
Machine Learning (ML)
Deep LearningPythonShould be highly Technical and hands-on experience in Artificial Intelligence and Machine learning and Python. Managing the successful delivery of projects by efficient planning and coordination.
KEY RESPONSIBILITIES OF THE POSITION :
- Create Technical Design for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implement the same in production.
- Solid understanding and experience of deep learning architectures and algorithms
- Working experience with AWS, most importantly AWS SageMaker, Aurora or MongoDB, Analytics and reporting.
- Experience solving problems in the industry using deep learning methods such as recurrent neural networks (RNN, LSTM), convolutional neural nets, auto-encoders, etc.
- Should have experience of 2-3 production implementations of machine learning projects.
- Knowledge of open-source libraries such as Keras, Tensor Flow, Pytorch
- Work with business analysts/consultants and other necessary teams to create a strong solution
- Should have in-depth understanding and experience of Data Science and Machine Learning projects using Python, R, etc. Skills in Java/C are a plus
- Should developing solutions using python in AI/ML projects
- Should be able to train and build a team of technical developers
- Desired to have experience as leads in designing and developing applications/tools using Microsoft technologies - ASP.Net, C#, HTML5, MVC
- Desired to have knowledge on any of the cloud solutions such as Azure or AWS
- Desired to have knowledge on any of container technology such as Docker
- Should be able to build strong relationships with project stakeholders
Keywords:
- Python
- Artificial Intelligence
- Machine Learning
- AWS
- Django
- NLP
Python
JavaMachine Learning (ML)
Data Science
Scala
NodeJS (Node.js)Amazon Web Services (AWS)PythonWe are looking for a Node.js Developer who is proficient with writing API's, working with data, using AWS and capable of applying algorithms mainly machine learning-based to solve problems and create/modify features for our students. Your primary focus will be the development of all server-side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end. You will also be responsible for integrating the front-end elements built by your co-workers into the application. Therefore, a basic understanding of front-end technologies is necessary as well.
Responsibilities
- Integration of user-facing elements developed by front-end developers with server-side logic
- Writing reusable, testable, and efficient code
- Design and implementation of low-latency, high-availability, and performant applications
- Implementation of security and data protection
- Use of algorithms to drive data analytics and features.
- Ability to use AWS to solve scale issues.
Apply if you can only arrive for a face to face interview in Bangalore.
Python
JavascriptPHP
Ruby on Rails (ROR)NodeJS (Node.js)
JavaMachine Learning (ML)PythonJavascriptPythonAmazon Web Services (AWS)Machine Learning (ML)
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon