Enterprise Platform Engineer - AI Agents

Role Overview

We are looking for a skilled Systems Engineer with strong expertise in Ansible automation, Kubernetes, and system-level scripting. This role focuses on building scalable automation and managing GPU-aware infrastructure.

Key Responsibilities

• Develop and maintain automation workflows using Ansible
• Write and optimize Ansible playbooks for infrastructure and application deployment
• Automate system-level tasks using Bash scripting
• Debug and test automation workflows for reliability and scalability
• Manage Kubernetes clusters, including:
• Pod lifecycle management
• Networking and firewall configurations
• GPU resource mapping and scheduling
• Custom Resource Definitions (CRDs)
• Collaborate with engineering teams to integrate automation into CI/CD pipelines
• Ensure secure and scalable infrastructure for AI workloads

Requirements

• Strong hands-on experience with Ansible and automation workflows
• Solid Linux system administration experience
• Proficiency in Bash scripting
• Deep understanding of Kubernetes (pods, networking, CRDs, GPU scheduling)
• Experience in debugging and optimizing automation systems
• Strong problem-solving and ownership mindset

Nice to Have

• Experience with GPU workloads or HPC environments
• Exposure to monitoring tools like Prometheus and Grafana

Location: Bangalore

Experience: 3-5 years

Type: Full-time | On-site

Start: Immediate

Why this role exists

Most companies are using LLMs.

Very few are building an advantage from them.

Right now, LLM cost is our largest margin constraint, and model behavior is still too generic to be defensible.

This role exists to:

• Turn LLM usage into a cost-efficient system
• Build compounding intelligence across accounts
• Create a differentiated analysis layer that competitors can’t replicate

What you’ll do

You will not just build models.

You will own the intelligence and cost structure of the platform.

1. Drive down LLM cost dramatically

• Reduce cost per interaction from ₹40 → ₹2 within 6 months
• Implement:
• Model tiering (right model for the right task)
• Caching strategies (semantic + response caching)
• Batching and async processing
• PTU / reserved capacity optimization
• Ensure performance does not degrade while reducing cost

2. Optimize infrastructure spend

• Reduce cloud spend from ₹20L/month → ₹4L/month
• Work across infrastructure layers (Azure / compute / inference)
• Balance:
• Latency
• Cost
• Throughput
• Treat infra as a first-class optimization problem

3. Build the fine-tuning and learning pipeline

• Design systems where:
• Every interaction improves future performance
• Build pipelines for:
• Fine-tuning
• Feedback loops
• Continuous model improvement
• Ensure the 5th customer deployment is structurally better than the 1st

4. Create a differentiated intelligence layer

• Build analysis systems that:
• Extract signals from interactions
• Improve decision-making
• Drive outcome improvements
• Move beyond responses → insight + action

5. Enable new AI-native product categories

• Identify opportunities where:
• AI enables workflows that were not previously possible
• Build foundational ML capabilities to unlock those categories
• Focus on creation, not just efficiency

6. Commoditize LLM usage internally

• Abstract complexity of LLM usage from product teams
• Build internal systems where:
• Cost is predictable
• Performance is consistent
• Make LLM usage a reliable utility layer

What success looks like

• Cost per interaction drops to ₹2 or lower
• Infrastructure spend reduces 5x without performance loss
• Model performance improves with every deployment
• Platform develops a clear intelligence advantage
• New AI-native capabilities become possible due to your systems

Who you are

• You have 3-5 years of experience in ML / applied AI / systems engineering
• You have worked with:
• LLMs
• Inference optimization
• Production ML systems
• You think in:
• Systems
• Trade-offs (cost vs latency vs quality)
• You care about real-world impact, not just model metrics

What will make you stand out

• Experience with:
• LLM optimization (prompting, fine-tuning, distillation)
• Distributed systems or infra-level optimizations
• High-scale inference systems
• Built systems that:
• Reduced cost significantly
• Improved performance over time
• Strong understanding of:
• Caching strategies
• Model routing
• Evaluation frameworks

Why join

• You will directly impact company margins and scalability
• Your work defines whether we have a defensible ML advantage
• You will build systems that move from:
• Generic AI usage → compounding intelligence

What this role is not

• Not research-only
• Not experimentation without production impact
• Not isolated from product and business outcomes

What this role is

• A builder of ML systems at scale
• A driver of cost and performance optimization
• A creator of long-term competitive advantage

One question to self-evaluate

Can you build ML systems that get cheaper, smarter, and more valuable with every interaction?

Job Title: Tableau BI Developer

Years of Experience: 4-8Yrs

12$ per hour fte engagement

8 hrs. working

Required Skills & Experience:

✅ 4–8 years of experience in BI development and data engineering

✅ Expertise in BigQuery and/or Snowflake for large-scale data processing

✅ Strong SQL skills with experience writing complex analytical queries

✅ Experience in creating dashboards in tools like Power BI, Looker, or similar

✅ Hands-on experience with ETL/ELT tools and data pipeline orchestration

✅ Familiarity with cloud platforms (GCP, AWS, or Azure)

✅ Strong understanding of data modeling, data warehousing, and analytics best practices

✅ Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders

Candidate should have 6-9 years of experience in IoT embedded systems. He/ She should be

passionate, tech savvy, academically sound, have interest in embedded devices and

technologies.

Experience:

• Exposure to Microcontroller/Microprocessor Architecture /Family e.g. ARM Cortex,

Microchip, Xtensa ESP32, TI CC32XX, STM32

• Knowledge of Bare metal and any RTOS (Free RTOS, uC OS, EmbOSs, VxWorks, QNX)

• Knowledge of Microcontroller peripherals and low level drivers e.g. ADC, DAC, I2C, SPI,

UART, CAN, RS485, DMA, Ethernet, Display

• Knowledge of networking concepts like OSI layers, embedded TCP/IP stacks and common

IP protocols

• Knowledge of RF protocols WIFI, Bluetooth/BLE, IoT Cellular

• Knowledge of IoT communication protocols MQTT, COAP, AMQP

• Knowledge of Build toolchains and framework such as IAR, GCC, Keil, Mplab

• DFMA and DFMEA, Design release process

• Coding standards, guidelines and compliance tools

• Version control and repositories using git tools

• Software quality assurance and automated testing tools Experience / Skills Embedded software design cycle

• Documenting Software Design (flow charts, state diagram, logic design, analysis, implementation, debugging and testing etc)

• Good hands-on programming in Embedded C, C++.

• Programming in scripting languages such as batch, shell, python is a plus.

• Experience with AWS/Google cloud for device connectivity. Exposure to IoT cloud services. e.g. AWS IoT

• Software and Hardware integration testing and troubleshooting

• Protocol debugging using protocol analyzer.

• Understanding of Schematic/ Hardware design around microcontrollers like ST, TI, Atmel, Microchip, ARM core

What will you do?

• Oversees testing, deployment & maintenance of the Voice infrastructure.
• Performing a variety of tasks associated with user provisioning and call routing within the assigned platform 
• Build loaders for internal systems ensuring tasks are completed accurately and in a timely manner
• Participate in meetings with clients and internal departments to understand the requirements of call routing
• Document and design call flow diagrams to ensure that all call variables have been accounted for in preparing a routing plan
• Support the clients solution by correcting any issues with call routing or provisioning during the initial implementation phase, constantly communicating status of any issues with client
• Complete testing to ensure that call flow is operating properly
• Monitors and ensures compliance to standards, policies, and procedures

What are we looking for?

• 0.6~2 year’s implementation experience in Asterisk PBX, IP Telephony, SIP.
• Able to thrive in a demanding and team-oriented environment
• Basic and strong knowledge of the Linux operating system.
• Knowledge of bash and perl shell scripting is an added advantage.
• RHCE Certification is an added advantage.

Skills Required:

- Good experience with programming language Python
- Strong experience in Docker.
- Good knowledge with any of the Cloud Platform like Azure.
- Must be comfortable working in a Linux environment.
- Must have exposure into IOT domain and its protocols ((Zigbee & BLE ,LoRa,Modbus)
- Must be a good team player.
- Strong Communication Skills

We are looking networking professionals with the following skill set,

Experience :6+ years of experience in the networking domain

Key skills:

• Must have 6+ years of experience in C/C++ programming language.
• Knowledge of Go programming language and Python programming language is a big plus.
• Strong background in L4-L7 Internet Protocols TCP, HTTP, HTTP2, GRPC and HTTPS/SSL/TLS.
• Background in Internet security related products such as Web Application Firewalls, API Security Gateways, Reverse Proxies and Forward Proxies
• Proven knowledge of Linux kernel internals (process scheduler, memory management, etc.)
• Experience with eBPF is a plus.
• Hands-on experience in cloud architectures (SaaS, PaaS, IaaS, distributed systems) with continuous delivery
• Familiar with containerization solutions like Docker/Kubernetes etc.
• Familiar with server less technologies such as AWS Lambda.
• Exposure to machine learning technologies and distributed systems is a plus

Want to work with an established & growing IT company? Join team Benison to have the right challenges that will help you accelerate your career growth to the next level, faster!   

Benison Technologies was started in 2011 with a mission to revolutionize the silicon industry in India, with a host of amazing big clients like Google, Cisco, McAfee, Intel, and so on, you get to experience the best of both worlds. If you consider yourself an engineer who is capable to join our ever-growing team, then this is the right opportunity for you:  

Why Benison Tech?   

We have a partial acquisition from one of the biggest names in the world (well we can’t name them thanks to confidentiality) it’s one of the FAANG companies, and you can “Google” it if you like.  

Oh! & one more thing, this did not happen by accident, our team put a ton of efforts to turn this gigantic dream into a reality.  

Benison Tech has a consistent history of demonstrating growth through innovation time and again.   

We don’t stop there, we then re-invest our profits back into the initiatives for the growth of our people, our culture and the company. Now enough with us, let’s talk about the job roles & responsibilities:    

What you will be working on: 

• You will be working on the next generation network security products, on various public clouds. 
• In addition to development, you will also get your hands involved in the architectural changes while fixing the legacy issues. 
• Planning, designing, integration for network security platforms. 

• Key contributor for developing product strategies and features. 
• You will work on hardcore data networking/forwarding areas while acquiring in depth knowledge in DPDK and VPP. 

Here are some technical skills required:  

• Programming languages : C/C++ 

• Work exp on DPDK and packet forwarding area. 
• Good understanding of Linux Kernel, Networking stack in the kernel. 
• Exposure to clouds like AWS, GCP is a big plus. 
• Understanding/Exposure to VPP is a big plus. 
• Strong in packet forwarding, Tunneling (IPsec, GRE, VxLAN) etc. 

What we expect from you:  

• 2+ years of relevant experience 
• Design, Develop & test the various features in dpdk, VPP based system Interact with the customer to help in defining the features, execute and deliver them 
• Mentor the junior team members. 

• Participate in code-reviews and ensure the quality of deliverables. 

If the above fits your skill-sets and tickles your interest then read below about the additional benefits that our company offers to talented folks like you:  

Work Culture and Benefits    

• Competitive salary and benefits package  
  (H1-B which means a chance to work onsite out of India)   
• A culture focused on talent development where you get promoted within the quarterly cycle of your anniversary. 
• Opportunity to work with cutting-edge & challenging technologies including legacy tech. 
• Open cafeteria to grab some munchies while you work, we make sure the space feels like your second home, you can also wear pyjamas if you like.   
• Employee engagement initiatives such as project parties, flexible work hours, and long service awards, team bonding activities within the company, extra learning and personal development trainings, because why stop your learning at one thing!   

• Insurance coverage: Group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and your parents. (With some of the best insurance partners in India)  
• Enjoy collaborative innovation (each members gets to innovate & think out of the box), along with highly experienced team managers who maintain diversity and work-life well-being.  
• And of course, you get to work on projects from some of the most recognised brands within the networking and security space of the world, unlocking global opportunities to learn, grow & contribute in a way that is truly impactful yet purposeful at the same time.  

Still not satisfied, and want more proof?  

Head to our website https://benisontech.com/">https://benisontech.com to learn more.