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Bengaluru, Karnataka, India
Onsite
At Nextiva, we’re reimagining how businesses connect, bringing together customer experience and team collaboration on a single, conversation centric platform. Powered by AI, driven by human innovation.
Our culture is forward thinking, customer obsessed and built on the belief that meaningful connections drive better business outcomes. Whether it’s through our signature Amazing Service®, the technology we create, or the experiences we cultivate, connection is at the core of who we are.
If you’re ready to collaborate with incredible people, make an impact, and help businesses everywhere deliver truly amazing experiences, this is where you belong.
Location: This is an onsite role based at Nextiva’s Bengaluru office (Wilshire III by MFAR, 492, Hobli, RHB Colony, Mahadevapura, Bengaluru, Karnataka 560048). Working together onsite strengthens how we operate, enabling faster decisions, clearer communication, and stronger execution, so you can make a greater impact and move work forward with speed and clarity.
In-Office Expectation: This role is expected to work onsite four days per week, with the potential to increase to five days per week, as required by the business. Specific scheduling and flexibility will be guided by your leader to support both team collaboration and individual productivity.
We are seeking an experienced NLP and Generative AI Developer to design, develop, and deploy advanced AI models that solve complex business problems through natural language understanding and generation capabilities. The ideal candidate will implement cutting-edge GenAI solutions, optimize model performance, and collaborate with cross functional teams to align AI initiatives with business objectives.
Key Responsibilities
Model Development & Implementation • Design and implement generative AI models using state-of-the-art techniques including GPT, VAE, GANs, and transformer architectures
• Develop and deploy NLP algorithms for text processing, semantic extraction, and language understanding systems
• Build and fine-tune large language models (LLMs) for specific use cases using transfer learning and domain adaptation techniques
• Implement prompt engineering strategies to optimize GenAI model performance and output quality
Technical Execution
• Work with deep learning frameworks including TensorFlow, PyTorch, Keras, or scikit-learn to build scalable AI solutions
• Process and analyze large datasets using text representation techniques, word embeddings, and feature engineering
• Integrate NLP and GenAI components into existing systems and production pipelines with proper cloud or on-prem infrastructure
• Optimize existing models for improved performance, scalability, and efficiency through hyperparameter tuning and experimentation
Research & Innovation
• Stay current with latest advancements in generative AI, machine learning, NLP techniques, and identify opportunities for integration
• Conduct research on emerging techniques such as RAG (Retrieval Augmented Generation) architecture, vector databases, and LangChain framework
• Evaluate model performance through rigorous testing frameworks and iterate to improve accuracy and reliability
Required Qualifications Education & Experience
• Minimum 3-4 years of hands-on experience in NLP, machine learning, and generative AI development
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field
Technical Skills
• Strong proficiency in Python programming with experience in libraries like NumPy, SciPy, Pandas
• Deep understanding of NLP techniques including tokenization, named entity recognition, sentiment analysis, text classification, and sequence modeling
• Hands-on experience with LLMs such as OpenAI GPT, LLaMA, Claude, or similar models
• Expertise in deep learning architectures including LSTM, Transformers, attention mechanisms, and neural networks
• Experience with NLP libraries and frameworks such as Hugging Face, SpaCy, NLTK
• Knowledge of vector databases, embeddings, and semantic search technologies
• Familiarity with cloud platforms (AWS, Azure, GCP) for deploying ML models Soft Skills
• Strong problem-solving and analytical thinking abilities
• Excellent communication skills to convey complex technical concepts to diverse audiences
• Ability to work independently and collaboratively in fast-paced, dynamic environments
Preferred Skills
• Experience with fine-tuning open-source models and model compression techniques
• Knowledge of conversational AI, chatbot development, and dialogue systems • Familiarity with MLOps practices and model deployment pipelines
• Experience with distributed computing frameworks like PySpark
• Understanding of data governance, security, and compliance requirements
• Professional certifications in AI/ML or cloud platforms What You'll Work On • Generative AI applications for content creation, summarization, and language generation
• NLP systems for text analytics, information extraction, and semantic understanding
• Conversational AI solutions including chatbots and virtual assistants
• Prompt engineering and optimization for LLM-based applications
Nextiva DNA (Core Competencies)
Nextiva’s most successful team members share common traits and behaviors:
Total Rewards
Our Total Rewards offerings are designed to allow our employees to take care of themselves and their families so they can be their best, in and out of the office.
Our compensation packages are tailored to each role and candidate's qualifications. We consider a wide range of factors, including skills, experience, training, and certifications, when determining compensation. We aim to offer competitive salaries or wages that reflect the value you bring to our team. Depending on the position, compensation may include base salary and/or hourly wages, incentives, or bonuses.
At Nextiva, we're committed to supporting our employees' health, well-being, and professional growth. Join us and build a rewarding career!
Beware of Recruitment Fraud: At Nextiva, we follow a merit-based hiring process and do not charge any fees or require a deposit at any stage. We also do not authorize any third parties to collect payments or sensitive information on our behalf.
All genuine communications from Nextiva originate from official email addresses ending in “@nextiva.com”. Communications received from free email services (such as Gmail, Yahoo, or Hotmail) purporting to be from Nextiva should be treated as fraudulent. If you are contacted by a third-party claiming to represent us, please verify their credentials by writing to talent@nextiva.com.
We encourage candidates to stay vigilant and verify the authenticity of any communication claiming to be from Nextiva, including unsolicited calls, WhatsApp messages and Telegram communications. While we strive to maintain a secure hiring process, Nextiva is not responsible for any losses arising from fraudulent activities.
If you believe that you have been a victim of recruitment fraud, please contact your law enforcement agencies immediately.
For genuine opportunities, please apply only through our official career sites: Nextiva Careers & Nextiva Jobs on LinkedIn.
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Founded in 2008, Nextiva has grown into a global leader trusted by over 100,000 businesses and 1M+ users worldwide. Headquartered in Scottsdale, Arizona, and with teams across the globe, we're the future of customer experience and team collaboration through our AI-powered, conversation-centric platform.
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