Senior GenAI Engineer

Plugscale Consulting; Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Augury, based in Bengaluru, India, seeks a GenAI Engineer to advance AgenticAI projects for industrial environments. You will join cross-functional teams to design, build, and deploy scalable GenAI solutions that blend AI with time-series data, sensors, and structured information.

The role emphasizes production-grade design, observability, and customer impact. You will own end-to-end GenAI workflows, collaborate with Product and Engineering teams, and deliver measurable ROI through robust

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical field.
• Master's degree (M.Tech or equivalent) is a plus, but not required.
• Equivalent practical experience will also be considered for exceptional candidates.

Responsibilities

• Own the end-to-end development lifecycle of GenAI and AgenticAI solutions, from experimentation and prototyping through deployment and monitoring.
• Build intelligent systems that combine time-series modeling, signal processing, and GenAI technologies including LLMs, embeddings, agents, orchestration frameworks, and retrieval pipelines.
• Design and implement LLM-powered workflows such as RAG pipelines, tool usage, multi-agent orchestration, and evaluation frameworks at scale.
• Develop AgenticAI applications that integrate diverse data sources, including sensor-based time-series data, unstructured text, and machine learning outputs.
• Drive technical decision-making across architecture, tooling, experimentation strategy, and deployment patterns for AgenticAI systems.
• Partner closely with Product, Engineering, Applied AI, and domain experts to translate customer problems into scalable technical solutions.
• Contribute to the development of data pipelines, deployment infrastructure, evaluation frameworks, and monitoring systems across MLOps and LLMOps environments.
• Build and maintain backend services in Python, including REST/gRPC APIs and workflow orchestration services connecting AI agents with platform infrastructure.
• Monitor deployed systems for performance, drift, reliability, latency, and cost efficiency, continuously improving model quality and operational scalability.
• Collaborate directly with customers and internal stakeholders to prototype and deliver innovative AI-driven experiences.
• Help shape Augury's AgenticAI platform and user experience for industrial operators and reliability teams.

Skills

Python

GenAI frameworks

LLM workflows

Observability & experimentation

Agile teamwork

Education

Bachelor's degree in CS/Engineering

Master's degree (M.Tech) is a plus

Tools

LangChain

CrewAI

AutoGen

LangGraph

REST/gRPC

Job description

Second HQ enabling Augury GCC

GenAI Engineer

Our mission is to provide manufacturers and other industrial sectors with insights into the health of machines, processes, and operations to transform how people work and what they can create. A leader in Machine Health and Process Health solutions, Augury uses purpose-built AI technology, trained by industry experts and the worlds largest data library, to help companies realize the full potential of their production. Together with our customers, we are pioneering Production Health by removing friction created by competing business goals so companies can improve business outcomes, empower their workforce, and achieve sustainable production- all at the same time.

Full-time

Bengaluru, India

About The Position

As Augurys GenAI Engineer for AgenticAI, youll work at the forefront of combining AgenticAI with Industrial AI to solve meaningful, real-world manufacturing challenges. You will work closely with our central Algorithm, Product, and Engineering teams to design, build, and deploy scalable GenAI and AgenticAI solutions for industrial environments. This role sits at the intersection of AI engineering, time-series analytics, distributed systems, and user-centric product development.

You will own the end-to-end lifecycle of GenAI applications, from problem definition and experimentation to production deployment and continuous monitoring, helping bring Augurys AgenticAI vision to life through intelligent, impactful workflows that drive measurable customer value and ROI.

A Day In Your Life

• Own the end-to-end development lifecycle of GenAI and AgenticAI solutions, from experimentation and prototyping through deployment and monitoring.
• Build intelligent systems that combine time-series modeling, signal processing, and GenAI technologies including LLMs, embeddings, agents, orchestration frameworks, and retrieval pipelines.
• Design and implement LLM-powered workflows such as RAG pipelines, tool usage, multi-agent orchestration, and evaluation frameworks at scale.
• Develop AgenticAI applications that integrate diverse data sources, including sensor-based time-series data, unstructured text, and machine learning outputs.
• Drive technical decision-making across architecture, tooling, experimentation strategy, and deployment patterns for AgenticAI systems.
• Partner closely with Product, Engineering, Applied AI, and domain experts to translate customer problems into scalable technical solutions.
• Contribute to the development of data pipelines, deployment infrastructure, evaluation frameworks, and monitoring systems across MLOps and LLMOps environments.
• Build and maintain backend services in Python, including REST/gRPC APIs and workflow orchestration services connecting AI agents with platform infrastructure.
• Monitor deployed systems for performance, drift, reliability, latency, and cost efficiency, continuously improving model quality and operational scalability.
• Collaborate directly with customers and internal stakeholders to prototype and deliver innovative AI-driven experiences.
• Help shape Augurys AgenticAI platform and user experience for industrial operators and reliability teams.

What You Bring

• Bachelors degree in Computer Science, Information Technology, Engineering, or a related technical field (B.Tech / B.E. or equivalent).
• Masters degree (M.Tech or equivalent) is a plus, but not required.
• Equivalent practical experience will also be considered for exceptional candidates.
• 36 years of experience spanning Data Science, Machine Learning, AI Engineering, or GenAI development.
• Hands-on experience building and deploying GenAI or AgenticAI applications in production environments.
• Strong experience with GenAI frameworks such as LangChain, CrewAI, AutoGen, LangGraph, or similar ecosystems.
• Experience implementing LLM-based workflows including prompting, embeddings, RAG, tool calling, orchestration, and evaluation systems.
• Familiarity with evaluation methodologies such as HITL, LLM-as-a-judge, deterministic evaluation, and fine-tuning workflows.
• Experience with observability and experimentation tooling such as LangSmith or equivalent platforms.

Engineering & Systems Experience

• Strong proficiency in Python for model development, backend services, deployment, and monitoring.
• Experience building scalable APIs and microservices using REST and/or gRPC.
• Understanding of modern software engineering principles, CI/CD workflows, distributed systems, and production system design.
• Experience optimizing inference performance, latency, and API usage costs across AI systems.
• Familiarity with cloud-native development patterns and scalable AI infrastructure is a plus.

Collaboration & Ways of Working

• Ability to work in fast-paced Agile environments with a strong bias toward iteration, experimentation, and continuous improvement.
• Strong communication and collaboration skills with the ability to work cross-functionally across technical and non-technical teams.
• Product mindset with a focus on customer impact, usability, and business outcomes.

Nice to Have

• Background in industrial systems, IoT platforms, digital twins, or manufacturing technologies.
• Familiarity with time-series modeling, anomaly detection, predictive maintenance, or sensor analytics systems.
• Experience with streaming infrastructure such as Kafka, NSQ, or similar event-driven architectures.
• Familiarity with data platforms such as Databricks, BigQuery, Snowflake, or lakehouse architectures.
• Experience working with knowledge graphs, context graphs, or data-intensive AI applications.
• Exposure to multimodal AI systems combining structured, unstructured, and sensor-driven data.

Augury is a people-first organization. We believe in fostering an inclusive environment in which employees feel encouraged to share their unique perspectives, leverage their strengths, and act authentically. We know that diverse teams are strong teams, and we welcome those from all backgrounds and varying experiences. We are committed to providing employees with a work environment free of discrimination and harassment. We believe that diversity is more than just good intentions, and we are committed to creating an inclusive environment for all employees.

Augury is a proud equal opportunity employer, we strive to create a work environment in which everyone, all applicants, employees, customers, guests, and vendors feel safe and comfortable. We commit to maintain a workplace that is free of any type of harassment and does not tolerate anyone intimidating, humiliating, or hurting others. We prohibit willful discrimination based on age, gender, ethnicity, race, color, religion, political opinions, sexual orientation, sexual identity or expression, military or veteran status, disability or any other characteristic protected by law.