Responsibilities
Role Overview
We are looking for a Senior AI Engineer to join the Octave InConcert AI product development team within Octave’s Engineering Information Management ecosystem. This role focuses on building production-grade LLM-powered agentic systems, including industrial AI assistants, RAG/Graph RAG retrieval systems, and document intelligence pipelines operating on complex engineering datasets (e.g., P&IDs;, technical documents, asset metadata). In addition to LLM-based solutions, the role also contributes to classical machine learning and deep learning use cases such as computer vision for engineering drawings and predictive modelling.
Key Responsibilities
- Design, develop, and deploy agentic LLM systems, including:
- Tool usage and integrations
- Multi-step workflows
- Agent skills and MCP integrations
- Build and optimize retrieval pipelines, including:
- Chunking and embedding strategies
- Hybrid search systems
- Knowledge graphs and GraphRAG approaches
- Ensure LLM quality and reliability, including:
- Evaluation datasets and benchmarking
- Regression testing
- Human-in-the-loop validation
- Industrialize AI solutions under enterprise constraints:
- Cost and latency optimization
- Security, governance, and data sovereignty
- Observability and guardrails
- Lead proof-of-concepts (PoCs) and feasibility studies and collaborate with stakeholders
- Contribute to broader ML/DL initiatives as required
- Drive AI-first development practices, leveraging agent-based coding tools to:
- Accelerate development workflows
- Maintain agent-friendly code, specs, and issue definitions
- Stay updated with the latest advancements in LLMs, agents, and GenAI ecosystems, and share knowledge across the organization
Education / Qualifications
Must-Have Qualifications
- Bachelor’s or Master’s degree in computer science or a related field
- 5+ years of Python development experience, including:
📌 Software Lead (Hyderabad)
🏢 Octave
📍 Hyderabad
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