Gen AI Engineer
- Compensation
- Not disclosed
- Location
- Bengaluru
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 5+ years
- Category
- Ai engineering
- Posted
Skills
Nice to have
- Experience in industrial systems, IoT, digital twins, or manufacturing technologies
- Time-series modeling, anomaly detection, predictive maintenance, or sensor analytics
- Kafka, NSQ, or similar event-driven technologies
- Databricks, BigQuery, Snowflake, or lakehouse architectures
- Knowledge graphs or context graphs
- Experience working with multimodal AI involving structured, unstructured, and sensor-driven data
Full description
GenAI EngineerLocation: Bengaluru Manyata Tech Park
Work Mode: Hybrid 3 Days Work from Office
Experience: 5-10 Years
Employment Type:Full Time
Notice Period: Immediate to 15 Days
Open Positions: 1
About the Company
We are a growing technology company building innovative AI, GenAI, and intelligent industrial technology solutions. The organization focuses on developing scalable AI-powered products that combine Generative AI, Agentic AI, machine learning, IoT, time-series data, and modern cloud technologies to solve complex real-world business and operational challenges.
About the Role
We are looking for a GenAI Engineer with 48 years of experience across Data Science, Machine Learning, AI Engineering, or GenAI development. The ideal candidate will have hands-on experience building and deploying GenAI and AgenticAI applications in production, with strong expertise in Python, LLMs, RAG, AI agents, orchestration frameworks, and scalable backend systems.
Key Skills
- 5 - 10 years of experience in Data Science, Machine Learning, AI Engineering, or GenAI
- Hands-on experience building and deploying GenAI / AgenticAI applications
- Strong experience with LangChain, CrewAI, AutoGen, LangGraph, or similar frameworks
- Strong understanding of:
- Prompt engineering
- Embeddings
- RAG
- Tool calling
- LLM orchestration
- AI agents
- LLM evaluation
- Experience with time-series modeling
- Knowledge of HITL, LLM-as-a-Judge, deterministic evaluation, and fine-tuning workflows
- Experience with LangSmith or equivalent observability/experimentation tools
- Strong proficiency in Python
- Experience building REST and/or gRPC APIs and microservices
- Understanding of CI/CD, distributed systems, and production system design
- Experience optimizing AI inference performance, latency, and API costs
- Understanding of cloud-native development and scalable AI infrastructure
-
Good to Have
- Experience in industrial systems, IoT, digital twins, or manufacturing technologies