Seeking a hands-on AI/ML Engineer to design, build, and deploy intelligent systems using LLMs, machine learning, and agentic AI architectures.

Youll 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 :

- Bachelors/Masters 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.