

Role Overview
We are seeking a highly skilled and innovative AI Engineer to join our dynamic team. In this role, you will design, develop, and deploy cutting-edge artificial intelligence (AI) solutions, leveraging advanced machine learning (ML) techniques and AI frameworks to address complex business challenges. You will work closely with cross-functional teams to build intelligent systems and drive innovation, with a focus on implementing and optimizing modern AI technologies such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI Agents.
Key Responsibilities
AI Model Development
- Design, develop, and optimize AI solutions, including LLMs, RAG architectures, and Graph-based RAG systems, tailored to specific business needs.
- Develop and fine-tune models for tasks such as Natural Language Processing (NLP), Computer Vision, and Reinforcement Learning (RL).
Prompt Engineering and AI Agents
- Work with prompt optimization to enhance LLM-based responses for specific use cases.
- Develop autonomous AI agents capable of completing multi-step tasks with minimal human intervention.
Data Processing and Management
- Collect, clean, preprocess, and organize datasets for effective AI and ML model training and evaluation.
- Leverage graph databases and vector stores for efficient data retrieval in AI-driven systems.
Algorithm Selection and Optimization
- Choose and implement appropriate algorithms, considering constraints such as scalability, interpretability, and real-time deployment requirements.
- Conduct hyperparameter tuning and optimization experiments to maximize model efficiency and accuracy.
Deployment and Integration
- Deploy AI/ML models in production-grade environments, ensuring scalability, reliability, and seamless integration with existing systems.
- Implement model monitoring pipelines to ensure performance consistency over time.
Research and Development
- Stay abreast of the latest trends and advancements in AI and ML technologies, such as transformer architectures, diffusion models, and multi-modal AI.
- Experiment with emerging tools like LangChain, Hugging Face, and OpenAI APIs to innovate solutions.
Collaboration and Knowledge Sharing
- Work closely with data scientists, software engineers, and product managers to define project requirements and deliver impactful AI solutions.
- Document workflows, processes, and findings to enable knowledge sharing and continuity across teams.
Required Qualifications
Education
- Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Engineering, Mathematics, or a related field.
Experience
- Minimum 3+ years in AI/ML roles with a proven track record in building and deploying AI-driven solutions.
Technical Proficiency
- Proficiency in Python and AI/ML frameworks like TensorFlow, PyTorch, scikit-learn, or Keras.
- Experience working with LLMs, transformers, and generative AI tools.
- Familiarity with cloud platforms such as AWS, Google Cloud, or Azure, including AI-focused services like SageMaker and Vertex AI.
- Knowledge of vector databases (e.g., Pinecone, Milvus, Weaviate) and graph databases for RAG systems.
Analytical Expertise
- Strong understanding of advanced statistical methods, mathematical concepts, and probabilistic models.
- Ability to analyze and interpret data for actionable insights and model improvements.
Soft Skills
- Exceptional problem-solving and critical-thinking abilities.
- Strong communication skills to effectively collaborate with cross-functional teams.
- Adaptability to a fast-paced, innovation-driven environment.
Preferred Qualifications
- Hands-on experience with LangChain, Hugging Face Transformers, or OpenAI API integrations.
- Expertise in specialized AI domains like multi-modal learning, conversational AI, and prompt engineering.
- Contributions to open-source AI projects or publications in recognized AI/ML conferences or journals.
- Familiarity with deploying AI Agents in production systems.
What We Offer
- Competitive Compensation & Benefits aligned with your experience and the impact you bring.
- Opportunity for Growth in a rapidly expanding B2B SaaS company.
- Cutting-Edge Technology & Projects in the WhatsApp Business API and Click to WhatsApp Ads space.
- Collaborative Work Environment that fosters innovation, learning, and career development.
- Flexible & Inclusive Culture, where every team member has a voice and the chance to make a significant impact.

About AiSensy
About
About AiSensy
AiSensy is a WhatsApp based Marketing & Engagement platform helping businesses like Skullcandy, Vivo, Rentomojo, Physicswallah, Cosco grow their revenues via WhatsApp.
- Enabling 100,000+ Businesses with WhatsApp Engagement & Marketing
- 400cr+ WhatsApp Messages done between Businesses and Users via AiSensy
- Working with top brands like Skullcandy, Vivo, Rentomojo, Physicswallah & more
- High Impact as Businesses drive 25-80% Revenues using AiSensy Platform
- Mission-Driven and Growth Stage Startup backed by Marsshot.vc, Bluelotus.vc & 50+ Angel Investors
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AiSensy is a WhatsApp based Marketing & Engagement platform helping businesses grow their revenues via WhatsApp.
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Senior Generative AI Engineer
Job Id: QX016
About Us:
The QX impact was launched with a mission to make AI accessible and affordable and deliver AI Products/Solutions at scale for the enterprises by bringing the power of Data, AI, and Engineering to drive digital transformation. We believe without insights; businesses will continue to face challenges to better understand their customers and even lose them.
Secondly, without insights businesses won't’ be able to deliver differentiated products/services; and finally, without insights, businesses can’t achieve a new level of “Operational Excellence” is crucial to remain competitive, meeting rising customer expectations, expanding markets, and digitalization.
Job Summary:
We seek a highly experienced Senior Generative AI Engineer who focus on the development, implementation, and engineering of Gen AI applications using the latest LLMs and frameworks. This role requires hands-on expertise in Python programming, cloud platforms, and advanced AI techniques, along with additional skills in front-end technologies, data modernization, and API integration. The Senior Gen AI engineer will be responsible for building applications from the ground up, ensuring robust, scalable, and efficient solutions.
Responsibilities:
· Build GenAI solutions such as virtual assistant, data augmentation, automated insights and predictive analytics
· Design, develop, and fine-tune generative AI models (GANs, VAEs, Transformers).
· Handle data preprocessing, augmentation, and synthetic data generation.
· Work with NLP, text generation, and contextual comprehension tasks.
· Develop backend services using Python or .NET for LLM-powered applications.
· Build and deploy AI applications on cloud platforms (Azure, AWS, GCP).
· Optimize AI pipelines and ensure scalability.
· Stay updated with advancements in AI and ML.
Skills & Requirements:
- Strong knowledge of machine learning, deep learning, and NLP.
- Proficiency in Python, TensorFlow, PyTorch, and Keras.
- Experience with cloud services, containerization (Docker, Kubernetes), and AI model deployment.
- Understanding of LLMs, embeddings, and retrieval-augmented generation (RAG).
- Ability to work independently and as part of a team.
- Bachelor’s degree in Computer Science, Mathematics, Engineering, or a related field.
- 6+ years of experience in Gen AI, or related roles.
- Experience with AI/ML model integration into data pipelines.
Core Competencies for Generative AI Engineers:
1. Programming & Software Development
a. Python – Proficiency in writing efficient and scalable code with strong knowledge with NumPy, Pandas, TensorFlow, PyTorch and Scikit-learn.
b. LLM Frameworks – Experience with Hugging Face Transformers, LangChain, OpenAI API, and similar tools for building and deploying large language models.
c. API integration such as FastAPI, Flask, RESTful API, WebSockets or Django.
d. Knowledge of Version Control, containerization, CI/CD Pipelines and Unit Testing.
2. Vector Database & Cloud AI Solutions
a. Pinecone, FAISS, ChromaDB, Neo4j
b. Azure Redis/ Cognitive Search
c. Azure OpenAI Service
d. Azure ML Studio Models
e. AWS (Relevant Services)
3. Data Engineering & Processing
- Handling large-scale structured & unstructured datasets.
- Proficiency in SQL, NoSQL (PostgreSQL, MongoDB), Spark, and Hadoop.
- Feature engineering and data augmentation techniques.
4. NLP & Computer Vision
- NLP: Tokenization, embeddings (Word2Vec, BERT, T5, LLaMA).
- CV: Image generation using GANs, VAEs, Stable Diffusion.
- Document Embedding – Experience with vector databases (FAISS, ChromaDB, Pinecone) and embedding models (BGE, OpenAI, SentenceTransformers).
- Text Summarization – Knowledge of extractive and abstractive summarization techniques using models like T5, BART, and Pegasus.
- Named Entity Recognition (NER) – Experience in fine-tuning NER models and using pre-trained models from SpaCy, NLTK, or Hugging Face.
- Document Parsing & Classification – Hands-on experience with OCR (Tesseract, Azure Form Recognizer), NLP-based document classifiers, and tools like LayoutLM, PDFMiner.
5. Model Deployment & Optimization
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- Deployment using Azure CI/CD, ONNX, TensorRT, OpenVINO on AWS, GCP.
- Model monitoring (MLflow, Weights & Biases) and automated workflows (Azure Pipeline).
- API integration with front-end applications.
6. AI Ethics & Responsible AI
- Bias detection, interpretability (SHAP, LIME), and security (adversarial attacks).
7. Mathematics & Statistics
- Linear Algebra, Probability, and Optimization (Gradient Descent, Regularization, etc.).
8. Machine Learning & Deep Learning
a. Expertise in supervised, unsupervised, and reinforcement learning.
a. Proficiency in TensorFlow, PyTorch, and JAX.
b. Experience with Transformers, GANs, VAEs, Diffusion Models, and LLMs (GPT, BERT, T5).
Personal Attributes:
- Strong problem-solving skills with a passion for data architecture.
- Excellent communication skills with the ability to explain complex data concepts to non-technical stakeholders.
- Highly collaborative, capable of working with cross-functional teams.
- Ability to thrive in a fast-paced, agile environment while managing multiple priorities effectively.
Why Join Us?
- Be part of a collaborative and agile team driving cutting-edge AI and data engineering solutions.
- Work on impactful projects that make a difference across industries.
- Opportunities for professional growth and continuous learning.
- Competitive salary and benefits package.
Ready to make an impact? Apply today and become part of the QX impact team!
Role = Front desk Executive
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• Greet, communicate and welcome clients with a smile.
• Make client comfortable and can offer refreshment (like water, tea, & coffee etc)
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Exp - 9+ years
Location - Mumbai
About our Client:-
Our client is part of the global media agency with mission is to make advertising more valuable to the world. They do this by employing the world's very best talent to solve some of the toughest challenges of today's digital marketing landscape. They hire people whose values reflect those of our own: genuine, results-focused, daring and insightful. They promise you a workplace that invests in your career, cares for you and is fun and engaging.
As a Client Services Director, you will be responsible for the strategic, and day-to-day leadership of a key client account/s spanning all aspects of the business. You'll need to understand all our discipline areas deep enough to be able to advise on initiatives ranging from media campaigns to design & build projects to creative. Were looking for intelligent people who can passionately represent Essence, develop a talented team, ensure outstanding delivery to the client, and create opportunities for our relationship to blossom.
Some of the things we'd like you to do :-
- Put yourself in the clients mindset: develop their business like its your own. Use everything in your background and within Essence to advise, action and deliver outstanding results.
- Take direct responsibility for Essences strategic relationship with the client and the associated lifetime client
value.
- Actively support the client's commercial objectives through their strategic marketing planning - you will be expected to contribute across all channels.
- Mentor the internal team in their understanding of, and approach to, supporting the clients strategic marketing plan, and manage the day-to-day throughout of the team
- Ensure the operational excellence of campaigns, aligning to established best practices and processes.
- Continually assess team capabilities and look to resolve any gaps through the personal development of existing resources or by leading recruitment efforts
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marketing knowledge for the sector.
- Provide ad hoc support to the client, as requested, to solve a broad strategic marketing problem.
- Identify opportunities for deepening the client relationship through innovation, the adoption of new marketing technologies and the use of a broader range of agency services.
- In particular, you'll need a very solid understanding of modern Internet technologies and how they can be used to guarantee marketing effectiveness.
- Use your understanding of the broader agency landscape to contribute to all agency meetings. Support the team in the delivery of ongoing services where requested
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- Strong media planning experience across all channels.
- 9-15 years of experience working in an integrated agency environment.
- Proven track record of building and maintaining senior-level client relationships and ability to manage multiple internal and external stakeholders
- Proven experience coordinating and managing internal agency teams
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- Extensive understanding of media optimization principles and an interest in driving campaign performance
Responsibilities
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- Advocate for the candidate and create an excellent experience, supporting candidate assessment, evaluating candidate skills and client needs, and driving the interview and offer process.
- Influence hiring managers on their hiring strategy and provide status updates on open roles.
- Manage recruiting initiatives to meet established goals. Improve the candidate, new hire, hiring manager, and recruiter experience.
- Partner with key business, staffing, and hiring stakeholders to build solutions for diversity, equity, and inclusion objectives.
Key Requirements
- 5+ years of experience in end-to-end recruitment in IT technologies.
- Take ownership individually and as a team member in supporting all open roles.
- Good understanding of software business, preferably Digital, Analytics and Technology hiring
- Energetic, ambitious professional with strong integrity
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