Senior AI Engineer

At Techvantage we are building intelligent AI-driven solutions that help organizations solve complex business challenges and accelerate innovation. With expertise across Generative AI, Machine Learning, intelligent automation, and enterprise AI, we develop scalable, impact-driven solutions that create measurable business value across industries.

Role Overview We are seeking a highly skilled and innovative

Senior Software Engineer – AI with strong expertise in

Generative AI (GenAI) and

Classical Machine Learning (ML) to join our growing AI team. The ideal candidate will have hands-on experience designing, developing, and deploying AI-driven solutions, with a strong foundation in Python, Machine Learning, Deep Learning, Large Language Models (LLMs), and scalable AI systems. The role requires experience in delivering

both GenAI and traditional ML projects , with the ability to build intelligent, production-ready systems and contribute to end-to-end AI solution development.

Key Responsibilities

• Design, develop, deploy, and optimize scalable AI/ML and GenAI solutions for business use cases
• Build and implement

classical ML workflows including data preprocessing, feature engineering, model training, evaluation, validation, and deployment

• Develop and fine-tune

Generative AI applications using LLMs, prompt engineering, embeddings, and retrieval techniques

• Work on

end-to-end ML pipelines for model development, training, inference, monitoring, and lifecycle management

• Design and optimize data pipelines for AI model training and production deployment
• Build intelligent solutions leveraging

LLMs, RAG frameworks, vector databases, and conversational AI concepts

• Implement MLOps best practices for model versioning, monitoring, experimentation, and deployment automation
• Collaborate with cross-functional teams including product, engineering, business, and UI/UX teams to prototype and deliver AI-powered solutions
• Leverage cloud platforms (

AWS, Azure, or GCP ) to build scalable AI systems and services

• Research, experiment, and contribute to emerging AI areas including

Agentic AI, autonomous workflows, and next-generation GenAI frameworks Required Skills & Qualifications

• 3+ years of experience in AI/ML solution development and deployment
• Strong hands-on experience in

both Generative AI and Classical Machine Learning project implementations (

mandatory )

• Strong proficiency in

Python and AI/ML libraries/frameworks such as

TensorFlow, PyTorch, Scikit-learn , or equivalent

• Proven experience with

Generative AI, LLMs, Prompt Engineering, RAG, embeddings, and conversational AI systems

• Strong understanding of

supervised and unsupervised ML concepts , feature engineering, model evaluation, optimization, and predictive modeling

• Experience in building and managing

data pipelines, ML workflows, and MLOps practices

• Hands-on experience with

cloud platforms (AWS, Azure, or GCP) for AI solution deployment

• Experience with

API integrations, model serving, vector databases, and AI system integration

• Strong analytical, problem-solving, and debugging skills
• Excellent communication and stakeholder collaboration skills in a fast-paced environment

Preferred Qualifications

• Experience in

Agentic AI systems and autonomous AI workflows

• Exposure to

model fine-tuning, multi-agent systems, and advanced GenAI architectures

• Experience with low-code/no-code prototyping tools for rapid experimentation
• Contributions to open-source AI/ML projects, research publications, or AI communities are an added advantage