Company: Pantelwar Private Limited
Location: Sector 16, Noida, Uttar Pradesh (On-site)
Experience: 1–3 years
Employment Type: Full-time
About Pantelwar
Pantelwar is an AI-native software engineering and fintech company building high-performance products across algorithmic trading, investment platforms, and AI-driven financial advisory. Our backend systems handle real-time market data, broker integrations, and low-latency execution at scale. You'll work on products that real users trade and invest with every day.
About the Role
We're looking for a Golang developer early in their career who wants to build production-grade backend services in a fast-moving, AI-native fintech environment. You'll write real code that ships, integrate LLM and AI platforms into live products, and grow quickly across systems design, concurrency, and data infrastructure. This is a hands-on builder role, not a maintenance role.
What You'll Do
- Build, ship, and maintain backend services and APIs in Go.
- Develop REST and gRPC endpoints that are clean, well-tested, and documented.
- Integrate with third-party APIs (broker, market data, payment, and partner systems).
- Integrate AI/LLM platforms (e.g., Claude, OpenAI) into backend services and build AI-driven features.
- Work with relational and columnar databases (PostgreSQL, ClickHouse) and message queues.
- Write performant, concurrent code using goroutines and channels.
- Participate in code reviews, debugging, and monitoring of live services.
- Collaborate on system design and take ownership of features end to end.
Must-Have
- 1–3 years of hands-on experience building backend services in Go.
- Strong grasp of Go fundamentals: goroutines, channels, interfaces, error handling, and concurrency patterns.
- Experience building and consuming REST APIs.
- Working knowledge of SQL databases (PostgreSQL/MySQL) and basic query optimization.
- Hands-on experience working with AI/LLM platforms or APIs (Claude, OpenAI, or similar) — building integrations, prompts, or AI-powered features.
- Comfortable with Git, Linux, and Docker.
- Solid understanding of data structures, algorithms, and clean coding practices.
- Strong communication skills and an ownership mindset.
Good to Have
- gRPC and Protocol Buffers.
- Exposure to ClickHouse or other columnar/time-series databases.
- Experience with Kafka, NATS, or RabbitMQ.
- WebSockets and real-time data streaming.
- Exposure to fintech, trading, or capital markets (broker APIs, market data, order flow).
- Experience with AI agent frameworks, RAG pipelines, vector databases, or multi-model routing.
- CI/CD pipelines and cloud experience (AWS).
- Familiarity with low-latency or high-throughput systems.
What We Offer
- High-ownership work on products used in live financial markets.
- A modern Go-first stack with room to go deep on performance and data engineering.
- Competitive compensation aligned with skill and experience.
- A fast learning curve in one of India's most demanding engineering domains
