Senior AI Engineer

About the Role

Join Acyuta Technologies Private Limited to build production-grade AI applications that automate HR, finance, procurement, and workforce operations. As a hands-on Python developer, you'll design, build, and deploy AI-native solutions using RAG, agent orchestration, FastAPI, CI/CD, and enterprise integrations. You'll leverage AI as a development partner while ensuring high-quality, production-ready code across multiple AI projects.

What You Will Build

• Production-grade RAG pipelines for enterprise knowledge across multilingual content.
• Multi-agent AI workflows using LangGraph for task orchestration and automation.
• Secure AI agents with human-in-the-loop approvals for enterprise system actions.
• FastAPI-based conversational backends with persistent user memory.
• Automated evaluation frameworks (RAGAS, LLM-as-Judge) integrated into CI/CD.
• End-to-end observability for AI applications, including usage, latency, cost, and performance monitoring.

Core Responsibilities

• Design scalable AI solutions by defining clear technical specifications and AI development workflows.
• Build and optimize end-to-end RAG pipelines, including retrieval, embeddings, vector search, and evaluation.
• Develop LangGraph-based multi-agent workflows with robust orchestration, routing, and human-in-the-loop controls.
• Implement secure, auditable approval mechanisms for write-capable AI agents.
• Integrate automated evaluation frameworks into CI/CD to ensure production readiness.
• Review and validate AI-generated code for quality, security, performance, and architectural compliance.
• Ensure production reliability through robust observability, prompt caching, request batching, streaming responses, and resilient LLM API rate-limit handling.
• Hands-on FastAPI skills. Design and build secure, fast and scalable RESTful APIs or WebSockets using FastAPI and Pydantic for data validation.
• Designs, builds, and maintains high-performance backend microservices, asynchronous APIs, and machine learning integration layers.

Must Have Technical Skills

• 5+ years of software engineering experience, including 2+ years building production-grade GenAI and agentic AI applications.
• Strong proficiency in Python and FastAPI for scalable backend development.
• Hands-on experience with LangGraph for multi-agent orchestration and workflow design.
• Expertise in production RAG systems, including embeddings, vector search, hybrid retrieval, reranking, and evaluation.
• Experience with Azure OpenAI, Azure AI Search, or equivalent managed vector databases.
• Strong knowledge of PostgreSQL for conversation state management and concurrent workloads.
• Experience with testing, CI/CD, automated evaluation, and prompt regression testing.
• Proficiency with AI-assisted development tools such as Cursor, Claude Code, Aider, Windsurf, or GitHub Copilot.

Preferred Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, or equivalent production experience.
• Prior work in regulated environments (healthcare, aviation, finance, government) with PII / PHI / PDPL constraints
• Public GitHub or portfolio with agentic / spec-driven projects.
• Familiarity with enterprise identity providers (Azure AD, OKTA) and secure token handling in agentic contexts.

Pay: Up to ₹100,000.00 per month

Application Question(s):

• How many years of experience you have in LangGraph: state schema design, conditional edges, checkpointer patterns, human-in-the-loop interrupts, etc?

Experience:

• GenAI/agentic systems: 3 years (Required)
• FastAPI: 2 years (Preferred)
• Python: 3 years (Required)
• Azure OpenAI: 2 years (Preferred)

Work Location: In person