Remote C# Engineer

We are seeking an experienced AI Developer (4–6 years) skilled in applying Large Language Models (LLMs) and building AI-driven applications to join our growing team. A significant part of this role involves designing and developing AI Agents within our platform with an initial focus on integrating external LLM APIs(e.g., OpenAI, Anthropic, Google) via sophisticated prompt engineering and RAG techniques into these agents, built using Python + FastAPI. You will architect the logic for these agents, enabling them to perform complex tasks within our e-commerce and retail data orchestration pipelines. ai evolves, this role offers the potential to grow into customizing and deploying LLMs in-house, so adaptability and a strong foundation in ML/LLM principles are key.

AI Agent Development: Design, develop, test, and maintain the core logic for  AI Agents within  FastAPI services. Orchestrate agent tasks, manage state, interact with platform data/workflows, and integrate LLM capabilities.

LLM API Integration & Prompt Engineering: Integrate with external  LLM provider APIs . RAG Implementation: Implement and optimize  Retrieval-Augmented Generation (RAG)patterns using  vector databases to provide relevant context to LLM API calls made by agents.

FastAPI Microservice Development: Build and maintain the scalable  FastAPI microservices that host AI Agent logic and handle interactions with LLMs and other platform components in a containerized environment ( Docker, Kubernetes ).

Data Processing for AI: Prepare and preprocess data required for effective prompt context, RAG retrieval, and potentially for future fine-tuning tasks.

Collaboration & Future Adaptation: Work with cross-functional teams to deliver AI features. Stay updated on LLM advancements and be prepared to learn and contribute to potential future in-house LLM fine-tuning and deployment efforts.

4–6 years of hands-on experience in software development with a strong focus on  AI/ML application development .

~ Demonstrable experience  integrating and utilizing external LLM APIs (e.g., OpenAI, Anthropic, Google) in applications.

~ Proven experience with  Prompt Engineering techniques.

~ Strong  Python programming skills.

~ Practical experience building and deploying  RESTful APIs using  FastAPI .

~ Experience designing and implementing application logic for  AI-driven features or agents .

~ Understanding and practical experience with  RAG concepts and  vector databases (Pinecone, FAISS, etc.).

~ Solid understanding of core  Machine Learning concepts and familiarity with frameworks like  PyTorch, TensorFlow, or Hugging Face (important for understanding models and future adaptation).

~ Familiarity with  cloud platforms ( AWS, GCP, or Azure ) and containerization ( Docker, Kubernetes ) for application deployment.

~ Experience working effectively in an  agile environment.

~ Willingness and capacity to learn and adapt towards future work involving deeper LLM customization and deployment.

~ Bachelor's or Master's degree in Computer Science, AI, or a related field.

~ Ability to work independently and collaborate effectively in a remote setting.

Experience with frameworks like  LangChain or LlamaIndex.

Experience with observability and debugging tools for LLM applications, such as  LangSmith.

Experience with graph databases (e.g., Neo4j) and query languages (e.g., Experience with MLOps practices, applicable to both current application monitoring and future model lifecycle management.

Experience optimizing API call performance (latency/cost) or model inference.

Knowledge of  AI security considerations and  bias mitigation .

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