Gen AI Lead

Greetings from ALIQAN Technologies!

Job Title:Gen AI Lead

Location:Noida

Experience:5

Job Type:Contract (6 Months Extendable)

Role Summary:We are seeking an experiencedGenAI Leadto drive the design development and deployment of Generative AI solutions across business use cases. The role involves technical leadership hands-on development and collaboration with cross-functional teams to deliver scalable and responsible GenAI applications.

Job Description/Responsibilities:

• Lead end-to-end development of Generative AI solutions using LLMs for enterprise use cases (chatbots document intelligence summarization search automation etc.).
• Architect and implement GenAI applications using prompt engineering RAG (Retrieval Augmented Generation) fine-tuning and agent-based frameworks and MCP (Model Context Protocol) for secure tool and data integration.
• Evaluate and integrate LLMs (OpenAI Azure OpenAI Anthropic Google open-source models like LLaMA Mistral).
• Design scalable GenAI architectures including model orchestration vector databases embeddings and APIs.
• Guide teams on best practices for prompt design model evaluation performance optimization and cost control.
• Collaborate with business stakeholders to translate requirements into GenAI solutions.
• Ensure responsible AI practices including data privacy security bias mitigation and governance.
• Own performance and value metrics for GenAI platforms balancing model accuracy response latency and operational cost while ensuring alignment with business priorities.
• Mentor junior engineers and provide technical leadership in GenAI initiatives.
• Stay current with GenAI trends tools and frameworks and recommend adoption strategies.

Technical Skills(Mandatory):

• 68 years of overall experience with4 years in AI/ML or GenAI-related roles.
• Strong hands-on experience with LLMs and GenAI frameworks (LangChainLangraph LlamaIndex Semantic Kernel CrewAI etc.). Must have
• Proficiency in Python with hands-on experience in deep learning frameworks (PyTorch or TensorFlow) and experience building production-grade APIs (FastAPI/Flask).
• Solid understanding of RAG pipelines embeddings vector databases (FAISS Pinecone Weaviate Chroma). Must have
• Experience with prompt engineering model evaluation and fine-tuning techniques.
• Working knowledge of cloud platforms (Azure/AWS/GCP) preferably Azure OpenAI. Good to have
• Familiarity with MLOps/LLMOps concepts CI/CD monitoring and observability.
• Strong problem-solving communication and stakeholder management skills.

Preferred Skills(Optional):

• Experience with open-source LLMs and model deployment (Hugging Face vLLM Ollama).
• Knowledge of NLP fundamentals and classical ML techniques.
• Exposure to AI governance compliance and enterprise security standards.
• Experience leading small teams or GenAI CoE initiatives.

Qualifications:

Btech in Computer Science Engineering Data Science or related field from a reputed institution.