AI Engineer

Role Overview

We are seeking a talented AI Engineer who is as comfortable writing production systems code as they are building LLM-driven features. The ideal candidate has strong experience across AI/ML, Generative AI, and LLMs, but is equally at home in Go (and ideally Rust) shipping reliable, deployable software - not just prompt-chaining prototypes.

Responsibilities

• Design, develop, and deploy AI/ML and Generative AI solutions as production systems, not demos.
• Build applications using LLMs and related frameworks, with production-grade error handling, schema validation, and observability.
• Experience building massively-parallel multi agent orchestration harnesses
• Develop and implement RAG pipelines, prompt engineering, embeddings, and vector-database integrations.
• Work with AI agents / multi-agent systems and tool-calling architectures.
• Fine-tune, evaluate, and optimize AI/ML models for performance, accuracy, and cost.
• Integrate AI solutions with existing services, APIs, and enterprise systems.
• Own the full deployment lifecycle: containerize, ship, monitor, and operate what you build.
• Translate business requirements into scalable AI solutions in collaboration with cross-functional teams.

Requirements

• Strong programming skills in Go (required), with Python as a secondary utility language. Proficiency in Rust is considered a significant value addition.
• Proficient with Linux, Docker, and git as daily tools.
• Hands-on experience with Generative AI and LLMs in a production setting.
• Working knowledge of RAG architecture, embeddings, prompt engineering, and at least one vector database (Pinecone, Chroma, FAISS, or Weaviate).
• Experience with LLM APIs/models and LiteLLM orchestration (OpenAI, Anthropic/Claude, Openrouter, Hugging Face, Llama, especially self-hosted models via vLLM/Ollama).
• Solid understanding of ML/DL fundamentals, model evaluation, and responsible AI practices.
• Experience with REST APIs and service integration.
• Strong analytical and debugging skills.
• Bachelor's or master's degree in Computer Science, AI, ML, Data Science, or related field.

Skills

• Go
• Python
• Rust
• Docker
• LLMs

Benefits

• Health insurance
• Provident Fund