AI Engineer - SDE II

What role looks like:

Generative AI

What you'll Deliver:

• You will be responsible to build and integrate Generative AI and Agentic AI features into our SaaS platforms.
• Develop LLM-powered workflows, including RAG pipelines with vector databases.
• Experiment with AI agents for task orchestration, automation, and decision-making.
• Work closely with senior engineers and product managers to translate business use cases into AI-first product features.
• Optimize AI pipelines for scalability, performance, and cost-efficiency.
• Contribute to best practices, documentation, and continuous learning within the AI team

Ideally, What You Bring:

• 3- 5 years of experience in software engineering, at least 23 years in GenAI/Agentic AI.
• Practical experience with Generative AI, including working with foundational models like GPT, Llama, or Gemini.
• Hands-on experience with GenAI/LLM frameworks: LangChain, LlamaIndex, Semantic Kernel, Haystack, CrewAI, AutoGen.
• Strong proficiency in Python and its AI ecosystem (PyTorch, TensorFlow, scikit-learn, Hugging Face).
• Experience deploying AI models in a cloud environment (AWS, GCP, or Azure), with a solid understanding of API development.
• Familiarity with SaaS engineering practices: microservices, APIs, CI/CD, Docker/Kubernetes.
• Familiarity with core software engineering principles, including version control (Git),
• Excellent communication, interpersonal skills
• Strong problem-solving and analytical skills.
• Experience with Agile development methodologies.
• Ability to prioritize effectively and manage multiple tasks simultaneously.

Bonus Expertise:

• Experience fine-tuning or customizing LLMs (LoRA, adapters, distillation).
• Background in multimodal AI (text, image, speech, video).
• Contributions to open-source AI tools or frameworks.
• Experience with AI observability tools (LangSmith, Traceloop, Arize AI).
• Understanding of AI ethics, bias mitigation, and compliance

What We Offer:

• Competitive salary and benefits.
• Opportunity to work with a SaaS product company and deliver something bigger & better
• Collaborative and dynamic work environment
• Professional development opportunities and training
• Flexible work culture