Artificial Intelligence Developer

Key Responsibilities

• Build and deploy scalable LLM, RAG, and agent-based systems
• Architect LLM inference and deployment pipelines
• Optimize models for efficient and cost-effective production
• Collaborate with data science, research, and product teams
• Ensure clean code, testing, reproducibility, and CI/CD
• Mentor junior engineers and drive engineering best practices
• Ensure ethical, secure, and responsible AI development

Required Skills

• Advanced Python with strong fundamentals in NumPy, Pandas, scikit-learn
• Deep learning expertise in PyTorch / TensorFlow
• Hands-on with LLM frameworks: Hugging Face Transformers, LangChain (prompting & fine-tuning)
• Strong experience with Agentic AI frameworks: AutoGen, CrewAI, LangGraph
• Expertise in RAG pipelines, semantic search, vector databases
• Strong software engineering practices: microservices, TDD, concurrency
• Ability to rapidly prototype and productionize GenAI solutions

Good-to-Have Skills

• Model optimization: Quantization (GPTQ, AWQ), pruning, distillation
• Multimodal AI (text, vision, audio): CLIP, BLIP, Whisper, LLaVA
• LLM serving using FastAPI and vector DBs (FAISS, Pinecone, Chroma)
• CI/CD pipelines, Airflow, Docker, Kubernetes / Helm
• Cloud AI deployments on AWS / Azure / GCP (e.g., SageMaker)
• MLOps & tracking: Git, MLflow
• Data pipelines & ELT/ETL using Snowflake