Principal Engineer

Experience: 8.00 + years
Salary: Confidential (based on experience)
Expected Notice Period: 60 Days
Shift: (GMT+05:30) Asia/Kolkata (IST)
Opportunity Type: Hybrid ()
Placement Type: Full Time Permanent position(Payroll and Compliance to be managed by: TF)
(*Note: This is a requirement for one of Uplers' client - TF)
What do you need for this opportunity?
Must have skills required:
Backend as a service, MCP, ML model, Distributed Systems, GenAI, Kubernetes (EKS), MLOps, Golang, Python
TF is Looking for:
About TF
Every production AI system, whether it''s powering customer support, writing code, analyzing financial data, or diagnosing medical conditions, needs the same foundational infrastructure. A way to route between models. A way to manage tools and integrate them securely. A way to orchestrate agents and enforce governance. A unified compute layer to run it all.
That infrastructure layer is being built right now.
We are looking for a Staff/Principal Engineer to join the team.
The Problem We''re Solving
Companies are moving beyond simple chatbots to production agentic systems. These systems route between OpenAI, Anthropic, Google, and self-hosted models. They integrate dozens of tools via protocols like MCP. They orchestrate multi-agent workflows where agents coordinate with other agents.
The infrastructure to support this doesn''t exist yet. You can''t just duct-tape together a few API calls and call it production-ready.
You need a control plane that handles:
Intelligent routing with observability, cost policies, and fallback logic
Centralized tool and MCP server management with security and lifecycle controls
Agent orchestration with governance and guardrails
A unified compute layer to run self-hosted models, custom tools, and agents
AI Gateway is the control plane of five composable components (Prompts, LLM Gateway, MCP Gateway, Guardrails, Agent Gateway) that handle routing, orchestration, and governance.
We''re Series A, backed by Intel Capital and Sequoia. Companies like CVS, Mastercard, Siemens, Paytm, Synopsys, and Zscaler run production AI workloads on our platform.
Key Responsibilities:
Solve some of the most complex Engineering problems and drive it alongside a team of engineers & ML researchers.
Build a deep, holistic understanding of the TF platform across all components and shape the product vision and implementation.
Act as the technical face of engineering for customer-related discussions and escalations
Guide and unblock engineers across projects in the US region
Partner closely with our CTO and India-based engineering team to drive system design, architecture, and implementation of complex products
Lead technical design, critical customer problem-solving, and platform scalability initiatives end-to-end
This is a high-ownership, high-impact role designed for an engineer who loves combining world-class systems thinking with real-world execution.
What You’ll Do:
Develop deep expertise across TF''s platform stack: infrastructure, deployment systems, LLM/ML orchestration, observability, cost optimization, and more
Drive the system architecture and design for complex, distributed, cloud-native systems
Act as the technical point-of-contact for enterprise customer engineering needs and escalations
Lead and participate in design reviews, code reviews, and critical incident responses
Collaborate closely with the CTO on architectural decisions, scaling strategies, and technical roadmap prioritization
Identify and drive technical debt cleanup, performance improvements, and resilience upgrades across the platform
Bring a product engineering mindset, ensuring that customer needs and feedback translate into scalable engineering solutions
Who You Are:
8+ years of strong backend/systems engineering experience at top technology companies or startups
Deep expertise in distributed systems, cloud-native architectures, and scalable system design
Strong working knowledge of Kubernetes, containerized workloads, and infrastructure engineering
Practical experience building or deploying ML/GenAI applications (or closely working with ML/DS teams)
Skilled in programming languages such as Python, Golang, TypeScript, and Node.js
Solid understanding of system observability, resiliency design, and SRE practices
Strong technical leadership and communication skills — able to work with both customers and engineering teams
Ability to think strategically while also executing hands-on when required
Perks of Working at TF
Join a fast-growing Series A, Bay Area-based startup building cutting-edge AI infrastructure.
Comprehensive health insurance for you and your family.
Flexible hybrid work, 3 days a week in the office (Tuesday, Wednesday and Thursday), with flexibility around the schedule.
Lunch and snacks are on us whenever you come into the office.
Work from another TF office for up to 3 months each year, whether that''s our London or Bay Area office, if you''d like a change of scenery.
Interview Process:
Intro Call
Round 1 – DSA (Data Structures & Algorithms)
Round 2 – LLD (Low-Level Design)
Round 3 – HLD (High-Level Design)
Round 4 – Techno-Managerial
How to apply for this opportunity?
Step 1: Click On Apply! And Register or Login on our portal.
Step 2: Complete the Screening Form & Upload updated Resume
Step 3: Increase your chances to get shortlisted & meet the client for the Interview!
About Uplers:
Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.
(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).
So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Work arrangement
Hybrid