AI ENGINEERING LEAD - Python

Happiest Minds Technologies; Pune District; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Happiest Minds Technologies in Pune seeks a highly skilled engineer with strong expertise in Generative AI (RAG), Distributed Systems, and Cloud/DevOps. You will design, deploy, and maintain production‑grade systems with a focus on scalable pipelines, observability, and robust coding practices.

The role requires hands‑on experience with Kafka/AWS Kinesis/Azure EventHub, Docker and Kubernetes, and proficiency in Python/Java/.NET, along with SQL optimization and DevOps discipline in a fast‑paced

Qualifications

• Gen AI - RAG knowledge, LLMs, embeddings, prompt engineering.
• End-to-end development and deployment with Kafka/EventHub/Kinesis.
• Proficient coding in Python/Java/.NET; strong problem solving.
• DevOps with CI/CD, containerization (Docker + Kubernetes), security testing.
• Ability to design functional modules with good coding practices.
• Strong DB fundamentals and SQL optimization.
• Exposure to agent-based AI systems and orchestration.
• Experience across cloud providers, Azure preferred.
• Frontend frameworks like React/Angular are a plus.

Responsibilities

• Design, develop, and deploy solutions leveraging Generative AI (RAG) frameworks and LLMs.
• Work with distributed systems to build scalable, reliable pipelines (Kafka, Kinesis, EventHub).
• Debug and resolve production issues using observability tools (AppDynamics, New Relic, Azure Monitor, Datadog).
• Write clean, optimized code in Python, Java, or .NET.
• Contribute to DevOps processes including CI/CD, containerization (Docker + Kubernetes), and security testing.
• Collaborate on low-level design of functional modules and apply coding principles.
• Work with databases and SQL, ensuring efficient query design and optimization.
• Deploy solutions on cloud platforms (Azure preferred; AWS/GCP valued).

Skills

Gen AI - RAG

Distributed Systems

Python/Java/.NET

DevOps

Design

Databases

Agentic AI

Cloud Platforms

Front end frameworks

Communication

Tools

Kafka

AWS Kinesis

Azure EventHub

Docker

Kubernetes

AppDynamics

New Relic

Azure Monitor

Datadog

CI/CD tools

Job description

We are seeking a highly skilled engineer with strong expertise in Generative AI (RAG), Distributed Systems, and Cloud/DevOps practices. The ideal candidate will have hands‑on experience in building, deploying, and maintaining production‑grade systems, with a solid foundation in programming, design, and databases.

• Design, develop, and deploy solutions leveraging Generative AI (RAG) frameworks and LLMs.
• Work with distributed systems (Kafka, Message Queues, AWS Kinesis, Azure EventHub) to build scalable, reliable pipelines.
• Debug and resolve production issues using observability tools such as AppDynamics, NewRelic, Azure Monitor, Datadog.
• Write clean, optimized code in Python, Java, or .NET, with strong problem‑solving and algorithmic skills.
• Contribute to DevOps processes including CI/CD, containerization (Docker + Kubernetes), and security practices (SAST/DAST/RAST).
• Collaborate on low‑level design of functional modules, applying coding principles and design patterns.
• Work with databases and SQL, ensuring efficient query design and optimization.
• Deploy solutions on cloud platforms (preferably Azure, but AWS/GCP experience is also valued).

Must-Have Skills

• Gen AI - RAG: Trained/POC execution; production experience is a plus. Strong understanding of LLMs, inference APIs, embeddings, and prompt engineering.
• Distributed Systems: End-to-end development and deployment experience with Kafka/EventHub/Kinesis.
• Programming Languages: Strong coding ability in Python/Java/.NET.
• DevOps: CI/CD, containerization (Docker + Kubernetes), static code analysis, and security testing.
• Design: Ability to design functional modules with coding principles/patterns.
• Databases: Solid understanding of DB fundamentals and SQL optimization.
• Agentic AI: Exposure to agent‑based AI systems and orchestration.
• Cloud Platforms: Experience across multiple cloud providers (Azure preferred).
• Front end frameworks: React/Angular
• Strong analytical and problem-solving skills.
• Ability to work in fast-paced, production environments.
• Passion for emerging technologies in AI and distributed systems.

Collaborative mindset with good communication skills