AI Engineer

Umanist NA; Pune District; Hybrid; INR 1,800,000 - 3,200,000; Full time

Job summary

Umanist NA in Pune is seeking an experienced AI Engineer to design, develop, and scale production‑grade AI and Generative AI applications. You will build LLM‑powered applications, RAG pipelines, agentic systems, and automation workflows, while delivering robust APIs and data pipelines.

Strong software fundamentals and hands‑on GenAI experience are essential. The role emphasizes system design, observability, and collaboration with stakeholders to deliver AI‑driven solutions in a hybrid work setup

Qualifications

• 4–8 years of software engineering or AI experience.
• Hands‑on Python or TypeScript programming.
• Practical experience with Large Language Models (LLMs).
• Experience building RAG pipelines and AI/GenAI solutions.
• Familiarity with AI/ML frameworks and APIs/microservices.
• Knowledge of distributed systems and cloud platforms (AWS/Azure/GCP).
• Strong communication and collaboration skills.

Responsibilities

• Design, develop, and deploy end‑to‑end AI and GenAI applications.
• Build LLM‑powered apps, RAG pipelines, AI agents, and automation workflows.
• Develop scalable APIs and microservices for AI solutions.
• Design data pipelines and retrieval systems with reliable observability.
• Work on prompt engineering, model evaluation, and performance tuning.
• Collaborate with stakeholders to deliver AI‑driven solutions.
• Mentor junior engineers and contribute to best practices.

Skills

Python

TypeScript

LLMs

RAG pipelines

AI frameworks

APIs & microservices

Distributed systems

Kubernetes

Docker

CI/CD

Cloud platforms

Communication skills

Job description

Location: Pune, Maharashtra

Work Mode: Hybrid

Experience: 4-8 Years

Notice Period: Immediate to 45 Days(525)

Role Summary

We are looking for an experienced AI Engineer to design, develop, and scale production-grade AI and Generative AI applications.

The role involves building LLM-powered applications, RAG pipelines, agentic systems, automation workflows, APIs, and enterprise integrations. The ideal candidate should have strong software engineering fundamentals, hands‑on AI/GenAI experience, and excellent communication skills.

Key Responsibilities

• Design, develop, and deploy end-to-end AI and GenAI applications.


• Build and integrate LLM-powered applications, RAG pipelines, AI agents, and automation workflows.


• Develop scalable APIs and microservices for AI solutions.


• Design and implement robust data pipelines and retrieval systems.


• Work on prompt engineering, model evaluation, and performance optimization.


• Build reliable and scalable AI services suitable for production environments.


• Implement observability, monitoring, and reliability practices for AI applications.


• Work with distributed systems and cloud-based architectures.


• Collaborate with technical and business stakeholders to develop AI-driven solutions.


• Contribute to system design, engineering best practices, and technical documentation.


• Mentor junior engineers and support knowledge-sharing initiatives.

Must-Have Skills

• 4-8 years of experience in software engineering and/or AI roles.


• Strong hands‑on programming experience in Python or TypeScript.


• Practical experience working with Large Language Models (LLMs).


• Hands‑on experience building RAG pipelines.


• Experience with AI/ML frameworks and libraries.


• Strong understanding of Artificial Intelligence and Machine Learning concepts.


• Experience building and integrating APIs and microservices.


• Experience working with distributed systems.


• Familiarity with Kubernetes and Docker.


• Experience with CI/CD pipelines and DevOps practices.


• Hands‑on experience with at least one cloud platform: AWS, Azure, or GCP.


• Excellent verbal and written communication skills.


• Strong problem-solving and collaboration skills.

Nice-to-Have Skills

• Experience with agentic AI and agent frameworks such as:
  
  
  
  • LangGraph
  
  
  • Semantic Kernel
  
  
  
  


• Knowledge of vector databases.


• Understanding of hybrid search and advanced retrieval techniques.


• Strong knowledge of system design, scalability, and performance tuning.


• Experience with enterprise system integrations, such as:
  
  
  
  • CRM
  
  
  • ERP
  
  
  • ITSM
  
  
  
  


• Experience designing production-grade AI platforms and services.


• Knowledge of AI application observability, evaluation, and monitoring.

Candidate Requirements

• Candidates should have minimum 2 years of stability in an organization.


• Immediate to 45 days notice period preferred.


• Local Pune candidates are preferred.


• Temporary accommodation may be provided for a couple of weeks.


• Excellent communication skills are essential as this is a client‑facing role involving regular interaction with stakeholders and teams.

Interview Process

2 Technical Rounds → 1 Client Round → HR Round

Keywords

AI Engineer | Generative AI | GenAI | LLM | Large Language Models | RAG | AI Agents | Python | TypeScript | Machine Learning | APIs | Microservices | Kubernetes | Docker | CI/CD | AWS | Azure | GCP | Vector Database | Hybrid Search

Skills: advanced retrieval techniques,kubernetes,ai/ml frameworks,vector databases,hybrid search,apis,distributed systems,ai roles,azure,typescript,rag pipelines,aws,artificial intelligence strategy,software engineering,python,microservices,llms,ci/cd pipelines,agentic ai,docker,devops