Techvantage Analytics - Senior Software Engineer - Artificial Intelligence

Techvantage.ai is a next-generation technology and product engineering company at the forefront of innovation in Generative AI, Agentic AI, and autonomous intelligent systems.

We build intelligent, cutting-edge solutions designed to scale and evolve with the future of artificial intelligence.

We are looking for a Senior Software Engineer - AI with 3+ years of hands-on experience in Artificial Intelligence/ML and a passion for innovation.

This role is ideal for someone who thrives in a startup environment-fast-paced, product-driven, and full of opportunities to make a real impact.

You will contribute to building intelligent, scalable, and production-grade AI systems, with a strong focus on Generative AI and Agentic AI technologies.

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., GPT, Claude, Mistral) and Generative AI models (text, image, or audio).

- Practical knowledge of Agentic AI frameworks (e., 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