Software Development Senior Specialist

AI applied engineer

As an Applied AI Engineer, you will bridge the gap between experimental AI models and scalable, production-ready software. You will design and deploy agentic workflows that leverage Python for backend logic, LangChain for orchestration, and React for user interfaces, all hosted on AWS.

Key Responsibilities

• Design and implement multi-agent systems using Google ADK. Focus on tool-calling accuracy, sequential/parallel execution, and complex delegation logic.
• Build scalable, asynchronous backend services using Python (FastAPI/Flask). Handle model orchestration and API exposure.
• Develop Retrieval-Augmented Generation (RAG) pipelines. Integrate LLMs (like Gemini via Vertex AI or OpenAI via Bedrock) into business applications.
• Collaborate on React/TypeScript interfaces. Ensure seamless interaction between the AI backend and the end user.
• Deploy and manage AI workloads on AWS (Lambda, API Gateway, SageMaker) or GCP (Vertex AI, Cloud Run). The choice depends on project requirements.
• Implement guardrails to mitigate hallucinations. Use observability tools to track agent performance and token optimization.

Required Skills Qualifications

• Deep expertise in Google ADK, LangChain, and LangGraph for building autonomous agentic systems.
• Proficiency in Python for backend/AI logic and React/TypeScript for frontend development.
• Hands-on experience with AWS services (Bedrock, SageMaker, API Gateway) and Infrastructure as Code (CDK/CloudFormation).
• Strong understanding of prompt engineering, vector databases (Pinecone/FAISS), and LLM fine-tuning.
• A Bachelor's or Master's degree in Computer Science, Engineering, or a related field.