SDE I - Forward Deployed Engineer

🚀 We’re Hiring: Forward Deployed Engineers (FDE) | AI, Agentic Systems & Software Engineering
Are you a strong software engineer who enjoys solving ambiguous, real-world business problems and turning them into production-ready technology?
We’re looking for Forward Deployed Engineers (FDEs) who combine:
💻 Strong software engineering
🤖 AI & Agentic Engineering
🧠 Product thinking
🔧 Hands-on problem solving
🤝 Customer & stakeholder collaboration
🏗️ End-to-end ownership
🔹 What You’ll Do
As an FDE, you’ll take ownership of complex problems — from discovery → solution design → prototype → implementation → production deployment → continuous improvement.
You will:
• Work directly with customers, product teams, business stakeholders, and engineering teams to understand complex problems and translate them into technical solutions.
• Build production-grade applications, backend services, APIs, integrations, and AI-powered workflows.
• Design and develop AI agents and agentic workflows using LLMs, tool/function calling, APIs, RAG, MCP, and emerging AI technologies.
• Integrate solutions with internal platforms and external enterprise systems.
• Rapidly prototype ideas and convert successful prototypes into scalable production systems.
• Debug complex issues across applications, APIs, infrastructure, data, models, and third-party integrations.
• Make pragmatic architectural decisions balancing scalability, reliability, security, latency, cost, and time-to-market.
• Determine when to use deterministic software vs. AI/LLM-based approaches.
• Implement guardrails, authorization, observability, evaluation, and human-in-the-loop mechanisms for AI systems.
• Work effectively with incomplete requirements and evolving customer needs.
• Communicate technical trade-offs clearly to both technical and non-technical stakeholders.
🔹 Strong Software Engineering Fundamentals
We’re looking for hands-on experience with:
• Python, Java, Go, JavaScript/TypeScript, or equivalent
• APIs, databases, distributed systems, and backend architecture
• Production-grade applications and services
• Debugging and troubleshooting
• Authentication & authorization
• Security, scalability, reliability, observability, and performance
• Quickly understanding unfamiliar codebases, APIs, and systems
🔹 AI & Agentic Engineering
Hands-on experience or strong practical understanding of:
• Large Language Models (LLMs)
• LLM APIs & SDKs
• AI agents & agentic workflows
• Tool/function calling
• Prompt & context engineering
• Retrieval-Augmented Generation (RAG)
• Model evaluation & quality measurement
• Guardrails & hallucination mitigation
• Agent state, memory & orchestration
• Human-in-the-loop workflows
• Model cost, latency & accuracy trade-offs
Experience with OpenAI, Anthropic, Gemini, LangGraph, MCP, or similar AI/agent frameworks is highly desirable.
💡 We value engineers who understand when NOT to use an LLM just as much as those who know how to use one.
🔹 Enterprise Integration & Architecture
Experience with some of the following is highly desirable:
• REST / GraphQL APIs
• Webhooks & event-driven architectures
• Messaging / queueing systems
• SQL / NoSQL databases
• OAuth / OIDC & enterprise authentication
• SaaS & enterprise system integrations
• Cloud platforms & containerized environments
• Microservices & distributed systems
🔹 What Makes a Strong FDE?
We’re particularly interested in engineers who:
• Are comfortable operating with ambiguity and incomplete requirements.
• Ask the right questions before jumping into implementation.
• Can independently convert a business problem into a working technical solution.
• Are equally comfortable discussing requirements with customers and debugging code with engineers.
• Have strong product judgment and focus on solving the underlying problem — not just implementing requested features.
• Can rapidly learn unfamiliar technologies and systems.
• Prefer building and validating solutions over producing lengthy theoretical designs.
• Take end-to-end ownership and remain accountable after the solution reaches production.
• Balance engineering quality with practical delivery timelines.
• Communicate complex technical concepts clearly and confidently.
🔹 Required Experience
1–3 years of software engineering experience for FDE roles.
Additionally:
• Experience delivering customer-facing or enterprise solutions
• Experience taking a product/system from concept or prototype to production
• Experience in fast-moving product, platform, fintech, SaaS, AI, or enterprise technology environments
• Experience working directly with enterprise customers or business stakeholders is an advantage
• Experience building AI-powered products or production agentic systems is a strong advantage
The successful candidate should be capable of:
Understanding the problem → Designing the solution → Writing the code → Integrating systems → Deploying → Debugging production issues → Improving the product
👉 The ability to build is fundamental to this role.
🔹 Ideal Candidate
The ideal FDE is a combination of:
Strong Software Engineer + Pragmatic Solution Architect + Product Thinker + Customer-Facing Problem Solver
You should enjoy being given a difficult problem with no obvious solution and being responsible for figuring out:
What needs to be built → How to build it → How to deploy it → How to make it work in the real world.
🔹 What You Should Be Comfortable With
🏢 Working from the office 5 days a week
⚡ Working in a fast-paced, high-impact engineering environment
🚀 Challenging conventional thinking and driving innovation
🎯 Taking end-to-end ownership of complex problems
🔹 What We Value
🚀 You Take the Shot
Make decisions with confidence and execute with speed.
🎯 You Own It
Act like the CEO of your work — taking complete ownership and accountability.
🎨 You Craft with Pride
Continuously learn, strive for excellence, and take pride in building secure, scalable, world-class products.

Work arrangement
No