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.

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.
- Solid 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: ₹100,000.00 - ₹250,000.00 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: Hybrid remote in Mumbai, Maharashtra

📌 Senior AI Engineer (India)
🏢 Acyuta Technologies
📍 India