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Hiring For GEN AI

Hiring For GEN AI

Infogain

5 - 10 years

20 - 35 Lacs

new delhi pune bengaluru

Posted:1 month ago| Platform:

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Skills Required

gen ai generative ai rag llm

Work Mode

Hybrid

Job Type

Full Time

Job Description

Role Overview-

We are seeking a highly skilled GenAI Development Lead to drive the design, development, and deployment of cutting-edge Generative AI solutions across enterprise use cases. This role requires a visionary leader with deep technical expertise in AI/ML, hands-on experience with LLMs (Large Language Models), and a strong background in building scalable AI products. The ideal candidate will be responsible for leading a development team, architecting GenAI applications, ensuring best practices in model lifecycle management, and collaborating with cross-functional stakeholders to bring next-generation AI capabilities to market.

Key Responsibilities

Solution Architecture & Development

Lead the end-to-end development of GenAI solutions, from ideation to production deployment.
Architect and implement scalable GenAI applications using frameworks like LangChain, LangGraph, AutoGen, CrewAI, or equivalent.
Integrate LLMs (OpenAI GPT, Claude, Mistral, LLaMA, etc.) with enterprise data sources and APIs to enable advanced RAG (Retrieval-Augmented Generation), multi-agent workflows, and context-aware conversational AI.

Technical Leadership

Mentor and guide a team of AI engineers and developers, fostering a culture of innovation and technical excellence.
Define coding standards, best practices, and DevOps/MLOps pipelines for model training, fine-tuning, and deployment.
Collaborate with data scientists to optimize models for performance, cost, and accuracy.

Stakeholder Collaboration

Partner with product managers, business leaders, and domain experts to identify high-value GenAI use cases.
Present technical roadmaps, proof-of-concepts, and solution demos to senior leadership and clients.

Governance & Security

Implement robust data governance, privacy, and compliance controls (e.g., PII masking, GDPR) for AI-driven applications.
Ensure adherence to ethical AI principles and responsible use of Generative AI technologies.

Required Skills & Experience

Technical Expertise

Proficiency in Python, Node.js, or equivalent languages for AI solution development.
Hands-on experience with vector databases (Pinecone, Weaviate, FAISS), embedding models, and RAG pipelines.
Familiarity with cloud platforms (Azure OpenAI, AWS Bedrock, GCP Vertex AI) and containerized deployments (Docker, Kubernetes).
Strong understanding of prompt engineering, fine-tuning, and multi-agent orchestration.

Leadership & Delivery

Proven track record of leading cross-functional development teams to deliver enterprise-scale AI products.
Experience with Agile/Scrum methodologies and project management tools (Jira, Azure DevOps).

Domain Knowledge

Exposure to industries like retail, finance, healthcare, or QSR (preferred).
Understanding of data governance, security, and compliance in AI/ML applications.

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