
About My Client Company
We're building the learning infrastructure that transforms AI agents into true digital workers. While today's agents can reason and plan, they fail to do meaningful work because they lack real experience operating in apps. My Client Product gives agents continuously improving, reusable skills across 1000+ production-grade app connectors including Gmail, Linear, and Hubspot. We handle authentication, tool routing, retries, failure handling, and observability, making every action safe and dependable.
About the Role
Every enterprise is racing to make AI work — not as a demo, but as infrastructure that runs their business. My Client Product is becoming the critical layer that makes this possible: the platform that connects AI agents to 250+ real-world applications with production-grade auth, execution, and reliability.
We've built this for the cloud. Now we need to build it for the enterprise — and that means rethinking the platform from the ground up with the right abstractions, primitives, and architectural decisions that let us serve a massive, diverse set of enterprise customers without bespoke engineering for each one. This is a founding role.
Your Impact
- Agent infrastructure platform: The foundational layer that enterprise AI agents run on — governance, observability, and control planes for MCP-powered agent ecosystems. You'll define how organizations monitor, audit, and manage AI agents operating at scale across their systems
- The integration gateway: The secure, reliable bridge between an enterprise's AI agents and the outside world — every SaaS tool, internal system, and API they need to act on. Not just connectors, but a platform-grade gateway with the right trust, permissioning, and routing primitives
- Platform primitives for scale: Multi-tenancy, isolation, configuration, and extensibility abstractions that let Composio serve thousands of enterprise customers without linear engineering cost
- Enterprise-grade architecture: Deployment flexibility, security, and compliance as first-class platform capabilities — not bolted-on afterthoughts
- The repeatable deployment motion: Turn enterprise onboarding from a services engagement into a product experience. Shorter cycles, fewer custom touches, more self-serve
What you bring
- You've built platforms at genuine scale — not just high user counts, but high complexity: many customer types, deployment models, and integration surfaces
- You think in abstractions and primitives. Your instinct is to find the right foundational model, not to solve each problem individually
- You've shipped enterprise product capabilities (deployment flexibility, security, admin tooling, compliance) and understand them as product problems, not just checkboxes
- You've built or shipped an AI product — or you're the person who can't stop tinkering. You're building agents on weekends, stress-testing the latest models, experimenting with MCP, and forming your own opinions on where agent architectures are headed. You have a point of view on this space, not just a resume line
- You're a force multiplier. When you join a team, the entire product moves faster because the platform decisions are right
Skills & Expertise
Platform Engineering, AI Infrastructure, Agentic AI, AI Agents, MCP (Model Context Protocol), Distributed Systems, Enterprise Architecture, Multi-Tenant Architecture, Backend Platform Engineering, Enterprise SaaS, API Platform Engineering, Integration Platforms, SaaS Connectors, Cloud Infrastructure, AWS, GCP, Kubernetes, Docker, Terraform, Microservices, Event-Driven Architecture, API Gateway, OAuth 2.0, RBAC, IAM, Observability, OpenTelemetry, Prometheus, Grafana, Reliability Engineering, SRE, Python, Golang, Node.js, TypeScript, REST APIs, GraphQL, AI Orchestration, LLM Infrastructure, LangChain, LangGraph, OpenAI APIs, Claude APIs, RAG, Workflow Automation, AI Tool Routing, Enterprise Security, Compliance Engineering, Deployment Architecture, Configuration Management, Extensible Systems, Scalability Engineering, High-Scale Systems, Technical Strategy, Platform Primitives, Developer Platforms, Enterprise Integrations, Infrastructure Engineering, Founding Engineer Mindset.
This role demands deep platform thinking. You've designed systems where the abstractions were the product — where getting the primitives right meant the difference between a product that scales and one that drowns in customer-specific code.
You've done this within large organizations and seen what "enterprise-grade" actually means when thousands of teams depend on your platform. But you've also operated in environments where you had to build fast, make tradeoffs, and ship before the architecture was perfect.
The combination matters. Big-company pattern recognition with small-company intensity.
What We Offer
- Lunch and dinner are provided in the office
- $200/month learning and development budget
- $1,000/month AI tool experimentation budget to automate, accelerate, and improve how you work
- High-ownership role with direct exposure to leadership and company-building decisions
- Competitive salary and equity

About Recruiting Bond
About
Recruiting Bond is a global leader in Recruitment Process Outsourcing (RPO), Executive Search, Headhunting, Talent Mapping, and Workforce Consulting. Founded by Pavan B, we are on a mission to power businesses through transformative talent strategies that scale teams, accelerate innovation, and unlock human potential.
With a presence across 25+ industries—from IT, Healthcare, and FinTech to Gaming, BioTech, and Web3—we specialize in hiring that drives outcomes. Our domain expertise spans high-growth startups to Fortune 500 companies, delivering elite CXO and leadership talent, strategic workforce solutions, and inclusive hiring at scale.
We help businesses:
✔️ Hire the right leaders and builders
✔️ Scale globally with speed and precision
✔️ Build talent-first roadmaps from MVP to IPO
Whether you're launching, scaling, or transforming—Recruiting Bond is your strategic partner in talent.
🔹 Industries: Technology | Healthcare | FinTech | Retail | Manufacturing | EdTech | Crypto | Real Estate | Web3 | Logistics | Energy & more
🔹 Services: Executive Hiring | RPO | Talent Strategy | Workforce Design | Startup Consulting | Diversity Recruitment
📨 Let’s build the future—together: https://recruitingbond.c
Tech stack
Candid answers by the company
We help businesses:
✔️ Hire the right leaders and builders
✔️ Scale globally with speed and precision
✔️ Build talent-first roadmaps from MVP to IPO
Whether you're launching, scaling, or transforming—Recruiting Bond is your strategic partner in talent.
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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
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
Hi
About us
Job description
Requirements
- C/C++ is a must. Rust is preferred. We already have part of the core product written in Rust. If you know Haskell, please let us know. We don't use Haskell in our stack but like folks who know it.
- It is essential that if you have done courses or have work experience in Operating Systems, Distributed Systems, and Computer Networks.
- Good exposure to debugging (more than just `!analyze -v`). We suck at debugging here, so can use your help!
- Great version control (Git) hygiene and familiarity with CI/CD. Test- and issue-driven development (that's our new term).
- Candidate should prioritize documentation to meeting (can't emphasize enough). Who has time to talk and listen (and forget) when one can write and read? During the interview, we may ask you how to organize your notes, references, and knowledge (We use Notion and self-hsoted Gitlab).
- Familiarity with scripting languages such as Python or Nim is appreciated. Both languages are used heavily in DevOps here.
- If you don't know Java, that's +1 ;-p (just kidding).
Regards
Team Merito
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.
Keycloak IAM Engineer
Should have 3-4 years experience in IAM domain, out of which at least one project implementation of Keycloak IAM product. Specific skill set requirements are:
-
Understanding User Organization and its mapping onto LDAP
-
Agent/Agent-less, OAUTH, SAML based & custom token based SSO.
-
User reconciliation from HR and creation in LDAP/IAM using automation.
-
SSO with Enterprise Applications such as telecom billing, ERP applications
-
Integration of OOTB connectors & creation of custom connectors (Rest/SOAP
API based).
-
Advanced customization at UI, workflow levels.
-
Setting up Groups and Roles
-
Setting up system and processes for Access certifications.
-
Target application account provisioning and birthright role assignment to users
based on default and request based policies.
-
Using UMS Email & SMPP driver to configure email/sms notifications.
-
Custom web application for Forget password, Reset password & LDAP account
unlock for user who can't access IAM over internet.
Requirements:
- 4+ years of experience in developing database applications and reports
- Expert in SQL in various databases with good exposure to MySQL
- Hands on experience in query tuning for applications, APIs and reports
- Expertise in developing database procedures, triggers and events.
- Experience in AWS Aurora.
- Excellent communication skills.
MINIMUM QUALIFICATIONS, Roles and responsibilties:
- BS/MS in Computer Engineering or related technology field
- 10+ Years of Experience in Software Development
- Experience in writing code for embedded systems, Proficient in C/C++ coding and intel DPDK
- Understanding of network interface drivers
- Experience with VMware, AWS, MSAzure, Google Cloud Platform.
- Knowledge of micro services and containerization
- Experience in building Networking Security Products
- Knowledge of Networking, TCP/IP Protocol Suite
- Design, code embedded features/solutions for the ShieldX Product
- Design write, extend and troubleshoot datapath code for switching, routing, NAT, TCP and TLS
- Work closely with other development , Product and Test Teams
- BS/MS in Computer Engineering or related technology field
- Excellent communication and Team player skills
- Should be a self-starter and be able to adopt to dynamic fast-paced environment.
- Able to work 40 hours a week








