AI/ML Engineer

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About the Role

Seeking a hands-on AI/ML Engineer to design, build, and deploy intelligent systems using LLMs, machine learning, and agentic AI architectures. You’ll work across research and engineering to deliver scalable, production-grade AI solutions.

Key Responsibilities

• Build AI/ML systems including LLM apps, agent workflows, and multi-model pipelines
• Develop RAG, prompt engineering, and fine-tuning solutions
• Train, evaluate, and deploy ML models across NLP, classification, recommendation, and generative tasks
• Implement MLOps pipelines (monitoring, A/B testing, CI/CD, model versioning)
• Design vector databases, semantic search systems, and scalable data pipelines
• Optimize model performance, latency, and cost
• Collaborate with engineering/product teams to deliver high-impact AI solutions
• Prototype emerging AI techniques and contribute to system architecture

Required Qualifications

• Bachelor’s/Master’s in CS/ML/Math/Stats
• 5+ years software engineering & 3+ years AI/ML experience
• Strong Python skills; experience with PyTorch/TensorFlow/JAX
• Hands-on LLM experience (GPT, Claude, Llama)
• Proficiency with LangChain, LlamaIndex, Hugging Face
• Strong system design, API/microservices, and cloud (AWS/GCP/Azure) knowledge
• Experience with Docker, Kubernetes, vector DBs (Pinecone/Weaviate/ChromaDB/Qdrant)

Preferred Skills

• Model fine-tuning, RLHF, custom training
• AI safety/alignment and evaluation methods
• Experience with React/Next.js for AI interfaces
• MLOps tools (W&B, MLflow, Kubeflow)
• Knowledge of agent frameworks (ReAct, CoT, tool use, multi-agent systems)

Why Join Us?

• Build high-impact, production-grade AI systems
• Work with cutting-edge models and tools
• Fast-paced, experimental culture
• Opportunity to influence AI strategy and architecture