Senior Machine Learning Engineer(AI)

Bangalore - India

Monthly Salary: INR 3 - 6

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

About Us:

Paytm is Indias leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India Paytm builds technologies that help small businesses with payments and commerce. Paytms mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology.

Paytm has been a pioneer in the merchant space by introducing innovative solutions like QR codes to

accept payments and Sound-box to recon payments by voice alerts. We are also distributing loans to

these partners via our Paytm for Business App.

About the Role:

Were looking for a Senior AI engineer with 3-6 years of experience who can build production-grade agentic AI systems. Youll be working at the intersection of cutting-edge AI research and scalable engineering creating autonomous agents that can reason plan and execute complex tasks reliably at scale

What Were Looking For:

Agentic AI & LLM Engineering

You should have hands-on experience with:

1) Multi-agent systems: Building agents that coordinate communicate and work together on complex workflows.

2) Agent orchestration: Designing systems where AI agents can plan multi-step tasks use tools and make autonomous decisions.

3) LLMOps Experience: End-to-End LLM Lifecycle Management - hands-on experience managing the complete LLM workflow from prompt engineering and dataset curation through model fine-tuning evaluation and deployment. This includes versioning prompts managing training datasets orchestrating distributed training jobs and implementing automated model validation pipelines. Production LLM Infrastructure - experience building and maintaining production LLM serving infrastructure including model registries A/B testing frameworks for comparing model versions automated rollback mechanisms and monitoring systems that track model performance latency and cost metrics in real-time.

4) AI Observability: Experience implementing comprehensive monitoring and tracing for AI systems including prompt tracking model output analysis cost monitoring and agent decision-making visibility across complex workflows.

5) Evaluation frameworks: Creating comprehensive testing for agent performance safety and goal achievement.

6) LLM inference optimization: Scaling model serving with techniques like batching caching and efficient frameworks (vLLM TensorRT-LLM)

Systems Engineering

Strong backend development skills including:

1) Python expertise: FastAPI Django or Flask for building robust APIs that handle agent workflows

2) Distributed systems: Microservices event-driven architectures and message queues (Kafka RabbitMQ) for agent coordination

3) Database strategy: Vector databases traditional SQL/NoSQL and caching layers optimized for agent state management

4) Web-scale design: Systems handling millions of requests with proper load balancing and fault tolerance

DevOps (Non-negotiable)

1) Kubernetes: Working knowledge required - deployments services cluster management

2) Containerization: Docker with production optimization and security best practices

3) CI/CD: Automated testing and deployment pipelines

4) Infrastructure as Code: Terraform Helm charts

5) Monitoring: Prometheus Grafana for tracking complex agent behaviors

Programing Language : Java Python

What Youll Build

Youll architect the infrastructure that powers our autonomous AI systems:

Agent Orchestration Platform: Multi-agent coordination systems that handle complex long-running workflows with proper state management and failure recovery.

Evaluation Infrastructure: Comprehensive frameworks that assess agent performance across goal achievement efficiency safety and decision-making quality.

Production AI Services: High-throughput systems serving millions of users with intelligent resource management and robust fallback mechanisms.

Training Systems: Scalable pipelines for SFT and DPO that continuously improve agent capabilities based on real-world performance and human feedback.

Ideal Profile:

1) Youve spent serious time in production environments building AI systems that actually work. You understand the unique challenges of agentic AI - managing state across long conversations handling partial failures in multi-step processes and ensuring agents stay aligned with their intended goals.

2) Youve dealt with the reality that the hardest problems arent always algorithmic. Sometimes its about making an agent retry gracefully when an API call fails or designing an observability layer that catches when an agent starts behaving unexpectedly or building systems that can scale from handling dozens of agent interactions to millions.

3) Youre excited about the potential of AI agents but pragmatic about the engineering work required to make them reliable in production.

Preferred Qualifications: Bachelors/Masters Degree in Computer Science or equivalent

We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.

Required Experience:

Senior IC

About Us:Paytm is Indias leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India Paytm builds technologies that help small businesses with payments and commerce. Paytms mission is to serve half a billion Indians and bring them to the...