B.Tech/B.E in Engineering with 5+ years of relevant experience
Expertise in Milvus deployment, schema design and index tuning (HNSW, IVF-FLAT)
Familiarity with Qdrant, Pinecone, Weaviate, PGVector or Chroma
Proficiency in OpenAI API, Hugging Face or Cohere for embeddings and LLMs
Skills in Kubernetes cluster management, Helm charts and containerized microservices
Competency in Docker containerization, multi-stage builds and registry management
Production-level proficiency in Python along with Go, Java or C++
Knowledge of object storage integration including AWS S3, MinIO or Google Cloud Storage
Excellent verbal and written communication skills
Background in supporting large-scale RAG applications and multi-agent platforms
Familiarity with LangChain, LlamaIndex or custom LLM orchestration pipelines
Understanding of AI observability through LLM evaluation, governance, tracing and monitoring tools
Knowledge of CI/CD pipelines, Infrastructure-as-Code and cloud-native deployment practices
Prior work experience in the Oil and Gas industry along with Dataiku DSS and SRE practices