AI Engineer - NLP And Generative AI

Keywords Studios Plc; Pune District; Hybrid; INR 1,500,000 - 2,200,000; Full time

Benefits offered by this job

Hybrid setup

Workers insurance

Paid Time Offs

Job summary

Helpshift is seeking a Backend AI Engineer to build and scale backend systems powering AI Agents for gaming customer support at scale. You will design high-throughput services, AI workflows, and retrieval-based systems, collaborating with AI/ML teams and product peers.

Responsibilities include building scalable APIs in Python (FastAPI), integrating RAG pipelines, managing databases, containers, and cloud deployments on AWS/GCP, while upholding CI/CD and observability practices.

Qualifications

• 3-5 years of backend software development experience.
• Strong hands-on experience with Python and backend frameworks, especially FastAPI.
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Responsibilities

• Design, develop, and maintain scalable backend services and APIs.
• Build backend workflows supporting AI Agents and customer support automation use cases.
• Develop secure and performant REST APIs for internal and external consumers.
• Integrate AI components (RAG pipelines, embedding services) into backend systems.
• Work with databases (MongoDB, YugabyteDB, PostgreSQL) for high-scale workloads.
• Containerize apps with Docker and deploy on Kubernetes (K8s).
• Deploy and operate services on AWS and GCP.
• Implement and maintain CI/CD pipelines and participate in CM/CR releases.
• Use Grafana, Elasticsearch, and Kibana for observability and reliability.
• Write clean, testable code and participate in reviews.
• Troubleshoot production issues related to scalability and performance.

Skills

Python

FastAPI

API design

Docker

Kubernetes

AWS

GCP

CI/CD

Observability

Grafana

Elasticsearch

Kibana

RAG

Team collaboration

Tools

MongoDB

PostgreSQL

YugabyteDB

Job description

Job Description:

About the Role

We are looking for a Backend AI Engineer to join our AI engineering team and help build and scale backend systems that power AI Agents for the gaming industry, handling millions of customer support tickets at scale.

In this role, you will work on high-throughput backend services, AI-powered workflows, and retrieval-based systems that support large-scale customer support automation. You will collaborate closely with AI Engineers, ML Engineers, and Product teams to design, build, deploy, and operate reliable backend systems that integrate AI components such as RAG pipelines and AI Agent orchestration.

This is an excellent opportunity to work on production-grade AI systems operating at massive scale, where performance, reliability, and observability are critical.

What You’ll Do:

• Design, develop, and maintain scalable backend services and APIs using Python and frameworks like FastAPI.
• Build and integrate backend workflows supporting AI Agents and customer support automation use cases.
• Develop secure and performant REST APIs for internal and external consumers.
• Integrate AI components such as RAG pipelines, embedding services, and inference APIs into backend systems.
• Work with databases including MongoDB, YugabyteDB, and PostgreSQL to support high-scale, low-latency workloads.
• Containerize applications using Docker and deploy/manage services on Kubernetes (K8s).
• Deploy and operate services on AWS and GCP cloud platforms.
• Implement and maintain CI/CD pipelines, and actively participate in CM/CR release processes.
• Use observability tools such as Grafana, Elasticsearch, and Kibana to monitor system health, debug issues, and improve reliability.
• Write clean, testable, and maintainable code; participate in code reviews and design discussions.
• Troubleshoot and resolve production issues related to scalability, performance, and reliability.

What You’ll Bring:

• 3-5 years of experience in backend software development.
• Strong hands-on experience with Python and backend frameworks, especially FastAPI.
• Experience building backend APIs and workflow integrations.
• Solid understanding of databases such as MongoDB, PostgreSQL, and YugabyteDB.
• Hands-on experience with Docker and working knowledge of Kubernetes.
• Familiarity with AWS and GCP cloud services.
• Good understanding of CI/CD concepts, build pipelines, and CM/CR release processes.
• Working knowledge of observability and logging systems like Grafana, Elasticsearch, and Kibana.
• Basic to intermediate understanding of AI systems, especially Retrieval-Augmented Generation (RAG).
• Strong problem-solving skills and ability to work effectively in a collaborative team environment.

Good to Have / Plus Skills:

• Experience with Jenkins for CI/CD automation.
• Familiarity with MCP concepts and AI orchestration frameworks.
• Hands-on exposure to AI/LLM-based systems, embeddings, or vector search.
• Experience or familiarity with Clojure.
• Knowledge of the Gaming industry or Customer Support domain.
• Experience working in high-scale, high-traffic production systems.

Bonus Points:

• Experience building or operating AI Agents in production environments.
• Exposure to distributed systems, event-driven architectures, or message queues.
• Interest in AI reliability, evaluation, and system observability at scale.

Benefits:

• Hybrid setup
• Workers insurance
• Paid Time Offs
• Other employee benefits to be discussed by our Talent Acquisition team in India.

Helpshift embraces diversity. We are proud to be an equal opportunity workplace and do not discriminate on the basis of sex, race, color, age, sexual orientation, gender identity, religion, national origin, citizenship, marital status, veteran status, or disability status.