Software Engineer (AI/ML)

Nextiva; Bengaluru; On-site; INR 2,000,000 - 4,000,000; Full time

Benefits offered by this job

Medical insurance

Provident Fund

Gratuity

Paid time off

Birthday day off

Wellness program

Job summary

Nextiva in Bengaluru is seeking an experienced NLP and Generative AI Developer to design, build, and deploy advanced AI models for business use cases. You will implement cutting‑edge GenAI solutions, optimize model performance, and collaborate with cross‑functional teams to align AI initiatives with objectives.

The role requires hands‑on NLP/ML expertise, strong Python skills, and experience with LLMs, transformers, and deployment on cloud or on‑prem infrastructure.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, ML, or related field.
• Strong Python programming with NumPy, SciPy, Pandas.
• Proficiency in NLP techniques: tokenization, NER, sentiment analysis, text classification, sequence modeling.
• Hands‑on experience with LLMs such as GPT, LLaMA, Claude, or similar models.
• Expertise in deep learning architectures: LSTM, Transformers, attention mechanisms.

Responsibilities

• Design and implement generative AI models using state‑of‑the‑art techniques (GPT, VAE, GANs, transformers).
• Develop and deploy NLP algorithms for text processing, extraction, and language understanding.
• Fine‑tune large language models for domain use cases using transfer learning.
• Implement prompt engineering strategies to optimize GenAI performance.
• Work with TensorFlow, PyTorch, Keras, or scikit‑learn to build scalable AI solutions.
• Process and analyze large text datasets with embeddings and feature engineering.
• Integrate NLP/GenAI components into production pipelines on cloud or on‑prem infrastructure.
• Tune hyperparameters to improve performance and scalability.
• Stay updated on GenAI/NLP advances and identify integration opportunities.

Skills

NLP

Generative AI

Python

TensorFlow

PyTorch

HuggingFace

SpaCy

LLMs

Cloud Platforms

Model Evaluation

Education

Bachelor’s or Master’s degree in CS/AI/ML or related field

Tools

TensorFlow

PyTorch

Keras

scikit-learn

Job description

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.

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

• 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 adaption techniques.
• Implement prompt engineering strategies to optimize GenAI model performance and output quality.
• 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.
• Stay current with the 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

• 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.
• Strong proficiency in Python programming with experience in 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.
• 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.

Total Rewards

• Medical insurance coverage for employees, spouse, and up to two dependent children.
• Group Term & Group Personal Accident Insurance with coverage up to 3 times the annual CTC.
• Work‑life balance benefits: 15 days of privilege leaves, 6 days paid sick leave, 6 days casual leave, 26 weeks maternity leave, 1 week paternity leave, birthday day off, and paid holidays.
• Financial security through Provident Fund and Gratuity.
• Wellness initiatives including Employee Assistance Program.
• Growth opportunities: access to ongoing learning, development, and career advancement.