AI Engineer

Responsibilities

Design, develop, and deploy advanced generative AI and NLP models to solve complex business problems. Collaborate with cross-functional teams to integrate AI solutions into production pipelines and optimize model performance.

Requirements

Requires 2-4 years of hands-on experience in NLP, machine learning, and generative AI development. Candidates must hold a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.

Skills

• Python
• NLP
• Generative AI
• LLMs
• TensorFlow
• PyTorch
• Prompt engineering
• Transformer architectures
• Deep learning
• Vector databases
• LangChain
• RAG
• Machine learning
• Cloud platforms
• Data analysis
• Semantic extraction

Benefits

• Medical insurance
• Group term insurance
• Group personal accident insurance
• Privilege leaves
• Paid sick leave
• Casual leave
• Maternity leave
• Paternity leave
• Provident fund
• Gratuity
• Employee assistance program
• Learning and development opportunities

About this role

Redefine the future of customer experiences. One conversation at a time.
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 2-4 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:
Drives Results: Action-oriented problem solvers who quickly bring clarity and simplicity to ambiguity, challenge the status quo, and lead meaningful change; celebrating wins to fuel momentum. They act swiftly and pragmatically, learning and improving as they go.
Critical Thinker: Data-driven, forward-thinking individuals who identify key drivers, anticipate risks, and deliver clear recommendations. They confidently leverage AI and automation to reduce friction, improve decision-making, and focus on higher-value work.
Right Attitude: Collaborative, competitive, and resilient team players who jump in to solve tough problems, learn from...

About Nextiva

Software Development · 1,001-5,000 employees · headquartered in Scottsdale, Arizona · founded 2008