GenAI Engineer

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 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 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:
• 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
• 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