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

Work arrangement
No