GenAI Engineer

Location : Bengaluru Manyata Tech Park

Work Mode : Hybrid - 3 Days Work from Office

Experience : 4 - 8 Years

Employment Type : Full Time

Notice Period : Immediate to 15 Days

Open Position s: 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 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 systems.

Key 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 engineering

2. Embeddings

3. RAG

4. Tool calling

5. LLM orchestration

6. AI agents

7. 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

- 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

Roles & 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 solutions

Education:

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical field (B.Tech / B.E. or equivalent).

Interview Process :

L1 : Technical Discussion

L2 : Coding & Technical Discussion - 1.5 Hours

Note : L2 is Face-to-Face and candidates are required to bring their own laptop for the coding round.

HR : HR Discussion

Additional Details :

- Hybrid : 3 days from office

- Location : Manyata Tech Park, Bengaluru