AI Engineer(3-6 Years)

Company Description

Techvantage.ai specializes in tackling complex business challenges and accelerating innovation through the use of AI. Our expertise includes advanced analytics, machine learning, and enterprise-scale automation, embedding intelligence deep into business operations. We are pioneers in Agentic AI, creating autonomous systems that orchestrate outcomes with precision and adapt fluidly to changing demands. We partner with leading enterprises across various sectors, including Banking, Financial Services, Insurance, Telecom, Media, Retail, and Automotive, to deliver solutions that drive efficiency and agility.

Techvantage.ai

Senior Software Engineer – AI

Roles and Responsibilities

• Build and deploy AI-driven applications and services, focusing on Generative AI and Large Language Models (LLMs).
• Design and implement Agentic AI systems—autonomous agents capable of planning and executing multi-step tasks.
• Collaborate with cross-functional teams including product, design, and engineering to integrate AI capabilities into products.
• Write clean, scalable code and build robust APIs and services to support AI model deployment.
• Own feature delivery end-to-end—from research and experimentation to deployment and monitoring.
• Stay current with emerging AI frameworks, tools, and best practices and apply them in product development.
• Contribute to a high-performing team culture and mentor junior team members as needed.

Skill Set:

• 3–6 years of overall software development experience, with 3+ years specifically in AI/ML engineering.
• Strong proficiency in Python, with hands-on experience in PyTorch, TensorFlow, and Transformers (Hugging Face).
• Proven experience working with LLMs (e.g., GPT, Claude, Mistral) and Generative AI models (text, image, or audio).
• Practical knowledge of Agentic AI frameworks (e.g., LangChain, AutoGPT, Semantic Kernel).
• Experience building and deploying ML models to production environments.
• Familiarity with vector databases (Pinecone, Weaviate, FAISS) and prompt engineering concepts.
• Comfortable working in a startup-like environment—self-motivated, adaptable, and willing to take ownership.
• Solid understanding of API development, version control, and modern DevOps/MLOps practices.