Job Description

Senior Software Engineer - AI

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.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.

Job Type: Permanent

Work Location: In person