
Intelligent Systems Developer
4 days ago
Our organization seeks a highly motivated and technically sound developer to design, build, and scale intelligent systems. The ideal candidate will have experience in Generative AI, Retrieval-Augmented Generation, vector databases, and cloud-native applications.
Key Responsibilities:
- Design, prototype, and deploy AI-enabled applications with a focus on modularity, scalability, and maintainability.
- Develop RAG pipelines tailored for enterprise or product-based use cases, optimizing for retrieval relevance and accuracy.
- Work with unstructured data — documents, transcripts, APIs — and transform them into structured knowledge systems using embeddings, vector stores, and knowledge graphs.
- Evaluate and select appropriate GenAI tools, frameworks, and models, balancing performance, latency, cost, and data security.
- Monitor application behavior and refine prompts, retrieval logic, and context engineering to enhance response quality.
- Identify and communicate system edge cases and risks — including hallucination, bias, prompt injection, and model over-reliance.
- Stay current with cutting-edge AI research, frameworks, and methodologies, and assess their potential for production use.
- Collaborate with cross-functional teams to integrate intelligent features seamlessly.
Required Skills & Experience
- 3–4 years of hands-on experience in AI/ML, data engineering, or full-stack development.
- Deep understanding of Large Language Models (LLMs) concepts.
- Proven experience implementing RAG pipelines and working with vector databases and Knowledge Graphs.
- Familiarity with GenAI frameworks and orchestration tools.
- Proficiency in Python and experience developing backend logic and integrating with APIs.
- Awareness of ethical and security concerns in AI.
- Ability to assess and articulate trade-offs in system design.
Benefits
This role offers the opportunity to work with cutting-edge technologies and collaborate with a team of experts in the field.
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