Software Engineer

Join Nexla, a fast-paced startup revolutionizing data integration and AI workflows. As a Software Engineer, you'll build AI-native connectors, work with LLMs in production, and tackle real-world data challenges. You'll have the opportunity to work across the stack, receive direct mentorship, and make a significant impact on our platform.

• Implement intelligent connectors that combine traditional integration primitives with LLM-driven capabilities.
• Design prompts, tool schemas, evaluation harnesses, and guardrails for LLM-backed features.
• Work directly with the CTO and senior leads to understand tech choices and design for multi-tenancy, low latency, and AI-native workflows.

• Full-stack range: Comfortable working across backend, data/runtime, and at least dipping into frontend or infra when the problem calls for it. Specialists who refuse to leave their lane are not a fit
• The "builder" spirit: A GitHub repo, side project, technical blog, or open-source contribution that shows you love to tinker and learn
• Global collaboration window: Ability to overlap with evening PST working hours for syncs, design reviews, and collaboration with our India/Europe-based leadership and engineering teams
• 2-5 years of software engineering experience
• AI-native: You already use AI tools (Claude Code, Cursor, agentic workflows) as a multiplier on your own work, and you have opinions about where LLMs help and where they don't
• High agency, high urgency, high ownership: You don't wait for a perfectly groomed ticket. You diagnose, you decide, you ship, and you communicate. You treat production issues as your problem regardless of whose code it was
• Polyglot fluency: Strong in at least one modern backend language (Python, Java/Kotlin/Scala, C++, Go, Rust) and comfortable picking up others as needed. We don't care which language you started in — we care that you can pattern-match across them
• CS fundamentals: Data structures, algorithms, concurrency, REST/HTTP, and a working mental model of distributed systems
• Experience with Ray, Arrow, Polars, DuckDB, or other modern Python-native data stacks
• Exposure to Kafka, JVM stacks (Java/Kotlin/Scala), Snowflake, Databricks, or Spark - useful context for our existing platform, but not required
• A background in competitive programming or contributions to open-source projects
• Hands-on experience building with LLMs - RAG pipelines, agentic systems, tool/function calling, evals, or MCP servers
• Experience with Docker or Kubernetes