Develop and deploy production-grade generative AI solutions, including autonomous agents, workflow automation, LLM applications, and RAG systems. Architect cloud-native AWS solutions using EKS, maintain CI/CD pipelines, write Python code, troubleshoot AI services, and evaluate emerging technologies. Collaborate with cross-functional teams to define requirements and deliver scalable, reliable AI-driven applications.
Gen AI Engineer
Summary
We are seeking a highly skilled Gen AI Engineer to drive the development and deployment of advanced artificial intelligence solutions within our IT Services division. In this pivotal role, you will architect and implement cutting-edge AI agents, workflows, and generative models to solve complex business challenges. The position demands a deep understanding of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures, and the ability to orchestrate these technologies on robust cloud infrastructures. This role is essential for translating innovative AI concepts into scalable, production-ready systems that enhance operational efficiency and deliver exceptional value to our clients.
Responsibilities
- Design, build, and optimize autonomous AI agents and complex workflow automation systems using specialized authoring frameworks.
- Develop and deploy generative AI applications leveraging Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) techniques to ensure high-quality, context-aware outputs.
- Architect and manage cloud-native solutions on AWS, specifically utilizing Elastic Kubernetes Service (EKS) for container orchestration and scalability.
- Establish and maintain robust CI/CD pipelines to automate the testing, integration, and deployment of machine learning models and software updates.
- Write clean, efficient, and maintainable code in Python to support backend logic, data processing, and model integration.
- Collaborate with cross-functional teams to define technical requirements, troubleshoot system issues, and ensure the reliability of AI-driven services.
- Continuously evaluate emerging AI tools and technologies to recommend improvements and keep our infrastructure at the forefront of industry innovation.
Requirements
Requirements:
- Proven professional experience of 5 to 7 years in software engineering, with a specialized focus on Generative AI and Machine Learning.
- Demonstrated expertise in building AI agents, managing workflows, and utilizing Gen AI authoring frameworks.
- Strong proficiency in Python programming, with a solid track record of developing production-grade applications.
- In-depth knowledge of AWS Cloud Services, particularly experience with Kubernetes (EKS) for container management.
- Hands-on experience implementing and maintaining CI/CD pipelines for AI and software development lifecycles.
- Practical understanding of Generative AI concepts, including LLM architecture and RAG implementation strategies.
- Ability to work effectively in a fast-paced environment, solving complex technical problems with innovative solutions.
Salary: ₹25 LPA
Similar Jobs
Artificial Intelligence • Consulting
Designs and delivers production-grade generative AI solutions using LLMs, RAG pipelines, agentic workflows, APIs, and Azure technologies. Responsibilities include architecture, coding, testing, deployment, evaluation, monitoring, governance, cost optimization, and responsible AI practices. The role translates business problems into measurable AI outcomes, collaborates with technical and business stakeholders, supports proposals and proofs of concept, develops reusable frameworks, and contributes to code reviews, mentorship, knowledge sharing, and internal AI capabilities.
Top Skills:
AgentbricksAutogenAzure Ai SearchAzure Blob StorageAzure BoardsAzure Cognitive ServicesAzure DatabricksAzure DevopsAzure Document IntelligenceAzure Function AppsAzure OpenaiClaude Opus 4.6CrewaiDatabricks Ai/BiDatabricks GenieDelta LakeDockerFastapiFlaskGpt-3.5 TurboGpt-4LangchainLangflowLangfuseLanggraphLangsmithLlamaindexMcpMicrosoft Copilot StudioMlflowN8NOcrPythonRagSemantic KernelSmolagentsUnity CatalogVector DatabasesWeights & Biases
Artificial Intelligence • Consulting
The posting provides no specific responsibilities, qualifications, compensation, location, travel, or clearance details. The title indicates a Generative AI engineering role focused on AWS technologies.
Top Skills:
AWSGenerative Ai
Fintech • Financial Services
Design, build, and operate production-grade LLM-powered and agentic AI systems and RAG pipelines over sensitive financial data. Ship backend services, AI pipelines, integrations, and shared AI infrastructure; ensure reliability, security, auditability, and regulatory compliance; collaborate with product and design and own systems in production.
Top Skills:
Agent OrchestrationAWSEmbeddingsEvaluation ToolingGCPGoGrpcKafkaKubernetesLlmsPythonRag (Retrieval-Augmented Generation)RestSearch SystemsTypescriptVector DatabasesVector Storage
What you need to know about the Mumbai Tech Scene
From haggling for the best price at Chor Bazaar to the bustle of Crawford Market, the energy of Mumbai's traditional markets is a key part of the city's charm. And while these markets will always have their place, the city also boasts a thriving e-commerce scene, ranking among the largest in the region. Driven by online sales in everything from snacks to licensed sports merchandise to children's apparel, the local industry is worth billions, with companies actively recruiting to meet the demands of continued growth.


