Gurugram, Haryana, India
Information Technology
Full-Time
techvantage.ai
Overview
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 environmentfast-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
This role is ideal for someone who thrives in a startup environmentfast-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.
- 3 to 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 environmentself-motivated, adaptable, and willing to take ownership.
- Solid understanding of API development, version control, and modern DevOps/MLOps practices.
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