Senior AI/ML Engineer
📍 Pune, Maharashtra (Onsite)
💼 Experience: 6–10 Years
🕒 Employment Type: Full-Time
About the Role
We are seeking a highly skilled Senior AI/ML Engineer to lead the design, development, and deployment of enterprise-scale Artificial Intelligence and Machine Learning solutions. The ideal candidate will possess strong expertise in production-grade Retrieval-Augmented Generation (RAG) systems, deep learning architectures, semantic search platforms, vector databases, and AI orchestration frameworks.
This role requires hands-on technical leadership, architectural ownership, and proven experience building scalable AI systems that operate reliably in production environments.
Key Responsibilities
- Design and architect enterprise-grade RAG (Retrieval-Augmented Generation) solutions
- Build and optimize document chunking, retrieval, reranking, and hallucination mitigation pipelines
- Develop and deploy machine learning models using XGBoost, PyTorch, and TensorFlow
- Design deep learning solutions including LSTM and transformer-based architectures
- Build semantic search and vector retrieval systems using modern vector databases
- Develop advanced AI workflows using LangChain and LangGraph
- Design and implement multi-agent AI systems and orchestration frameworks
- Lead AI model deployment, monitoring, optimization, and lifecycle management
- Collaborate with cross-functional teams to translate business requirements into scalable AI solutions
- Mentor junior engineers and contribute to technical leadership initiatives
- Drive AI architecture decisions, performance tuning, and best practices
Required Skills & Qualifications
Must-Have Technical Skills
- 6–10 years of software engineering and AI/ML development experience
- Strong experience building and deploying production AI/ML systems
- Hands-on expertise with RAG architectures and semantic retrieval systems
- Experience with vector databases such as Pinecone, Weaviate, Chroma, Milvus, or Qdrant
- Strong knowledge of Machine Learning and Deep Learning concepts
- Hands-on experience with:
- PyTorch and/or TensorFlow
- XGBoost
- LangChain
- LangGraph
- Experience deploying AI applications in production environments
- Strong debugging, performance optimization, and troubleshooting skills
- Excellent Python programming skills
- Understanding of REST APIs, microservices, and scalable system design
Preferred Skills
- MLflow
- Weights & Biases (W&B)
- Kubeflow
- Transformer architectures and LLM internals
- MLOps practices and model lifecycle management
- Multi-agent AI frameworks
- Cloud platforms such as AWS, Azure, or GCP
- Docker and Kubernetes
- CI/CD pipelines for AI applications
Ideal Candidate Profile
You are someone who:
- Has successfully deployed AI solutions into production environments
- Understands enterprise-scale AI architecture and design patterns
- Has practical experience with retrieval systems and vector search
- Can independently drive AI initiatives from concept to deployment
- Enjoys solving complex engineering challenges
- Demonstrates strong ownership, leadership, and mentoring capabilities
- Thrives in a fast-paced product and engineering environment
Who Should Not Apply
- Prompt-engineering-only profiles
- Candidates with only academic or research exposure
- Tutorial/demo-level GenAI practitioners
- Engineers without production deployment experience
- Professionals lacking hands-on implementation expertise
Educational Qualification
- B.E. / B.Tech in Computer Science, Information Technology, Artificial Intelligence, Machine Learning, Data Science, or related discipline
- Master's degree is a plus
Work Location
📍 Pune, Maharashtra (Onsite)
Hiring Preference
- Immediate joiners preferred
- Candidates currently working on production AI/ML systems will be given preference
Keywords
AI Engineer, Senior AI Engineer, Machine Learning Engineer, Generative AI Engineer, LLM Engineer, RAG Engineer, LangChain, LangGraph, Vector Database, Semantic Search, Deep Learning, PyTorch, TensorFlow, XGBoost, ML Engineer, AI Architect, MLOps, Multi-Agent Systems, Production AI