Generative AI Engineer

Company: C5i

Website: Visit Website

Business Type: Enterprise

Company Type: Product & Service

Business Model: B2B

Funding Stage: Private Equity

Industry: Information Technology

Salary Range: ₹ 40-55 Lacs PA

Job Description C5i is developing next-generation Generative AI and LLM solutions and is looking for a Lead Generative AI Engineer to drive the design, development, and deployment of production-ready AI systems. This role is ideal for candidates with extensive experience in LLMs, prompt engineering, AI agent workflows, and end-to-end GenAI implementations.

Responsibilities

• Lead the design, development, and deployment of GenAI/ML solutions in production.
• Deliver end-to-end Generative AI implementations (minimum 3 projects).
• Build and optimize LLM-based solutions, including prompt engineering and AI agent workflows.
• Develop RAG pipelines using vector databases (Pinecone, FAISS, Chroma, or similar).
• Collaborate with cross-functional teams and stakeholders to understand requirements and implement scalable AI solutions.
• Ensure AI solutions follow best practices for architecture, performance, and scalability.
• Work with cloud platforms (AWS, Azure, GCP) to deploy and manage AI models.
• Process and analyze large datasets using SQL, Pandas, or Apache Spark.
• Contribute to solution design (HLD/LLD) and provide technical leadership for AI initiatives.

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field
• 7+ years of hands-on experience designing and deploying GenAI/ML solutions
• Proven experience delivering 3 or more end-to-end Generative AI implementations in production
• Strong experience working with Large Language Models (LLMs) and Prompt Engineering
• Hands-on experience with LangChain, LangGraph, and building AI agent workflows
• Experience designing RAG pipelines using Vector Databases (e.g., Pinecone, FAISS, Chroma, or similar)
• Strong programming skills in Python (minimum 3 years); familiarity with R or SQL is a plus
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Experience with data processing tools such as SQL, Pandas, or Apache Spark
• Familiarity with data warehousing concepts and business intelligence best practices
• Experience working with cloud platforms such as Azure, AWS, or Google Cloud
• Strong analytical, problem-solving, communication, and collaboration skills
• Experience interacting with global stakeholders and multi-location teams