Senior AI Engineer
First seen by Alion on Sep 12, 2026.
Job Description :
Experience : 5 to 8 Years
Location : Bangalore
We are looking for : Senior AI Engineer
You'll make an impact by :
- Agentic workflow implementation - build multi-step AI pipelines with orchestration frameworks, tool integration, and human approval checkpoints
- Knowledge-graph engineering - implement domain knowledge graphs, validation shapes, and ingestion pipelines
- Retrieval and grounding - build hybrid retrieval and citation pipelines ensuring AI outputs trace to verifiable sources
- Evaluation infrastructure - create regression-gated evaluation harnesses and metrics pipelines
- Multi-environment deployment - implement and test across on-premises, hybrid, and cloud configurations
- Observability - structured logging, tracing, and monitoring for production AI systems.
Requirements :
- Education: Bachelors or masters equivalent.
- 5+ years software engineering, 2+ years building AI/ML applications in production
- Built agentic or multi-step AI pipelines with human-in-the-loop and validation steps
- Implemented knowledge graphs or semantic data pipelines
- Delivered software across multiple deployment environments with data sovereignty or offline constraints
Desired Domain Exposure :
- Electrical power systems, protection engineering, or industrial automation
- Engineering data standards (IEC 61850, COMTRADE, or comparable)
- Safety-critical or regulated domains
Tech Stack :
- Python, Lang Graph, Lang Chain, RDF, SPARQL, SHACL, Azure, Docker, OAuth2/OIDC, Vector databases, Local LLM inference, IEC 61850, COMTRADE
- Python engineering: Production-grade (async, clean APIs, testing, dependency management)
- LLM orchestration: Agentic frameworks, prompt engineering, tool-use patterns, stateful workflows
- Knowledge graphs: RDF, SPARQL, SHACL or equivalent; graph data modelling and validation
- RAG and retrieval: Vector databases, hybrid retrieval, chunking, reranking, citation enforcement
- Evaluation: Eval harnesses, regression gating, golden datasets, experiment versioning
- Cloud and infra: Azure, containerization, CI/CD, local and cloud-hosted LLM inference
- Security: OAuth2/OIDC, multi-tenant isolation, least-privilege patterns.
Use your skills to move the world forward!
Skills
Python, LangChain, Artificial Intelligence, Azure, Agentic AI, Prompt Engineering, LLM, RAG, Docker, VectorDB, Data Science