
Intelligent Systems Developer
Há 6 dias
We are seeking a skilled professional to join our team in designing and implementing cutting-edge AI solutions. This role involves leveraging advanced prompts, knowledge bases, and machine learning algorithms to drive automation and business transformation.
This is an exciting opportunity for someone who thrives in an innovation-driven environment and has the freedom to experiment with new approaches.
- Design, implement, and manage intelligent agents, including the development of advanced prompts and knowledge bases.
- Build and maintain robust data pipelines for AI-driven solutions.
- Develop process automation using both traditional and generative AI techniques.
- Continuously test, refine, and optimize models, prompts, and agents to ensure performance and scalability.
- Stay up-to-date with advancements in data science, AI, and ML, proactively identifying opportunities to apply them to business challenges.
- Bachelor's degree in Engineering, Computer Science, Mathematics, or related fields.
- Strong experience in Python (preferred), SQL, and/or Java/Scala.
- Familiarity with frameworks like FastAPI, Flask, or Django.
- Deep understanding of both traditional and generative AI techniques applied to complex business problems.
- Hands-on experience with AWS solutions, especially AWS Bedrock and SageMaker.
- Proven experience in prompt engineering, management, and optimization.
- Advanced knowledge of prompting techniques: few-shot learning, chain-of-thought, self-consistency, prompt chaining, guardrails.
- Experience building and utilizing knowledge bases to support AI solutions.
- Full project lifecycle experience in ML/AI projects, from prototyping to deployment.
- Familiarity with platforms such as Hugging Face, OpenAI, LangChain, or similar.
- Knowledge of MLOps and tools such as MLflow, Databricks, Vertex AI, or SageMaker.
- Experience in projects involving NLP, copilots, content generation, or task automation using generative AI.
- Understanding of vector databases (e.g., FAISS, Pinecone) and RAG (Retrieval-Augmented Generation) architectures.
- Strong analytical thinking, creativity, and communication skills to convey complex technical concepts to diverse audiences.
- Analytical thinking – Breaks down complex problems and identifies patterns.
- Clear communication – Explains technical concepts to varied audiences.
- Collaboration – Works well in cross-functional teams.
- Initiative and ownership – Drives tasks independently with accountability.
- Adaptability – Thrives in changing environments and evolving priorities.
- Curiosity – Continuously explores new AI tools and trends.
- Business awareness – Aligns technical decisions with business impact.
- Experience with LLM libraries and general machine learning frameworks.
- Knowledge of secure software development practices.
- Active participation in open-source communities or public code repositories.
- Experience with unit and integration testing.
- Experience with Azure DevOps CI/CD pipelines.
- Knowledge of Docker.
- Understanding of DDD (Domain-Driven Design) and other design patterns.
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