Company Type
Pharmaceutical Company
Senior Full-Stack AI Engineer
Job Overview
This role focused on building and operating multi-agent AI applications, RAG systems, and production workflows. The engineer owns features end-to-end - from agent design and retrieval pipelines to APIs, UI, and deployment - in a Dockerized, enterprise product environment.
Key Responsibilities
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Design, build, and iterate on multi-agent systems (orchestration, tool calling, memory, handoffs, evaluation).
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Build and improve RAG pipelines: ingestion, chunking, embeddings, hybrid search, reranking, grounding, and citation quality.
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Implement workflow engines for long-running business processes (state machines, async jobs, retries, human-in-the-loop).
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Develop backend services in Python (APIs, services, background workers).
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Build frontend experiences that present agent/workflow results clearly (status, audit trails, approvals).
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Own DevOps for these systems: containers, CI/CD, secrets, observability, and cost/latency controls.
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Work with product and domain experts to turn ambiguous requirements into reliable agent behavior.
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Write tests, evals, and runbooks so agent systems stay shippable in production.
Qualifications & Requirements
Core Requirements:
- Experience: 4–7+ years of professional software engineering experience, with dedicated hands-on experience building and shipping AI applications.
- Education: Bachelor's degree in Computer Science, Engineering, or equivalent practical experience, backed by a portfolio of shipped multi-agent or RAG projects.
- Backend: Strong production experience with Python, including REST/GraphQL APIs, microservices, and async/background workers (Celery/Redis task queues).
- Multi-Agent Systems: Hands-on experience with agent frameworks (e.g., LangGraph, LangChain), tool calling, and multi-agent orchestration patterns.
- RAG Applications: Proven experience with vector search, embeddings, retrieval quality, context design, hallucination mitigation, vector databases (pgvector, OpenSearch, Pinecone, Weaviate), and guardrails.
- Full-Stack Development: Hands-on proficiency with Django / Django REST Framework, Flask, and modern React / Next.js with TypeScript.
- Debugging & Observability: Proven ability to trace agent execution, resolve retrieval misses, fix workflow stuck states, and troubleshoot production incidents.
Nice to Have:
- Prior exposure to pharmaceutical operations, procurement, or trade distribution workflows.
- Working knowledge of pharma supply chain management, batch tracking, or commercial inquiry processing.
- Understanding of pharmaceutical quality assurance (QA) and quality control (QC) operational procedures.
Application Process
1
Submit Application
Complete the application form below with your details and CV
2
Initial Screening
Our HR team will review your application and contact suitable candidates
3
Technical Interview
Selected candidates will have a technical interview with the department head
4
Final Discussion
Final round with senior leadership team and offer discussion
About HRV Pharma
We are India's first Virtual Pharmaceutical Company, transforming global access to essential medicines through our innovative, technology-driven approach.
Company Size
150-200 Employees
Global Reach
Serving 5 Continents
Application Form
Apply for Senior Full-Stack AI Engineer
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