Generative AI Engineer - LangChain in Bangalore, भारत

GenAI EngineerLocation : Bengaluru Manyata Tech ParkWork Mode : Hybrid - 3 Days Work from OfficeExperience : 4 - 8 YearsEmployment Type : Full TimeNotice Period : Immediate to 15 DaysOpen Position s: 1About 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 https://jobeax.com/link/q2pgEBLUGQf2QS20 the Role :We are looking for a GenAI Engineer with 4 - 8 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 https://jobeax.com/link/LNO4qyefA3UlJa2l Skills :- 4 - 8 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 :1. Prompt engineering2. Embeddings3. RAG4. Tool calling5. LLM orchestration6. AI agents7. 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 infrastructureGood 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 dataRoles & Responsibilities :- Own the end-to-end development of GenAI and AgenticAI solutions, from prototyping to production deployment and monitoring- Build intelligent systems combining time-series modeling, signal processing, LLMs, embeddings, agents, and retrieval pipelines- Design and implement scalable RAG pipelines, tool-calling workflows, multi-agent systems, and evaluation frameworks- Develop AI applications integrating sensor-based time-series data, unstructured text, and machine learning outputs- Drive technical decisions around architecture, tooling, experimentation, and deployment- Collaborate with Product, Engineering, Applied AI, and domain teams to translate customer problems into scalable solutions- Contribute to data pipelines, deployment infrastructure, evaluation frameworks, MLOps, and LLMOps- Build backend services using Python, including REST/gRPC APIs and workflow orchestration services- Monitor AI systems for performance, drift, reliability, latency, and cost efficiency- Continuously improve model quality and production scalability- Collaborate with customers and internal stakeholders to prototype and deliver AI-driven solutionsEducation:Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical field (https://jobeax.com/link/2DENLGgQM7whDhaE / B.E. or equivalent).Interview Process :L1 : Technical DiscussionL2 : Coding & Technical Discussion - 1.5 HoursNote : L2 is Face-to-Face and candidates are required to bring their own laptop for the coding https://jobeax.com/link/c0758xp4X4tQPMMY : HR DiscussionAdditional Details :- Hybrid : 3 days from office- Location : Manyata Tech Park, Bengaluru (ref:hirist.tech)