? 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 Robust 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.

📌 SDE I - Forward Deployed Engineer (Noida)
🏢 Pine Labs
📍 Noida