Artificial Intelligence Engineer

Role & responsibilities

• Develop and deploy full stack machine learning, deep learning, and generative AI solutions.
• Apply advanced methods such as ensemble models, representation learning, transfer learning, and retrieval-augmented generation (RAG).
• Design, build, and optimize LLM-based systems, including assistants, copilots, and automation workflows.
• Understand and apply AI/ML architecture patterns, model selection strategies, and technical standards in coordination with architect/platform team.
• Lead prompt engineering, fine-tuning strategies, embedding pipelines, and retrieval systems.
• Build components of agentic ai solutions like MCP servers, skills, agents
• Integrate the AI solutions in web applications using nodejs, Reactjs and .Net
• Collaborate on deployment and monitoring of solutions in cloud environments with performance, security, and cost considerations
• Should be able to own end-to-end design and implementation of AI enabled cloud systems from problem definition to production deployment.
• Contribute to evaluation of trade-offs across model accuracy, latency, scalability, cost, and maintainability.
• Contribute to architect and maintain scalable training and inference pipelines on cloud platforms.
• Contribute to ensure AI enabled solutions meet enterprise-grade requirements for reliability, security, observability, and compliance.

Preferred candidate profile

• 8+ years strong development experience with at least 3 years .Net web frameworks and React coding experience and about 3-4 years in AI/ML based solutions development.
• Technical background: Must have worked as Developer for web and cloud applications and possess strong knowledge of Software Development Framework
• Experience and expertise in Generative AI & LLM Systems with good knowledge of LLM tools like OpenAI / Azure OpenAI / Anthropic / open-source LLMs, Lang Chain and Lang Graph, Vector databases: FAISS, Pinecone, Chroma. Expert in python with data engineering libraries like NumPy, Pandas.
• Good knowledge of typescript.
• Excellent Problem solving and analytical skills
• Communication and teamwork: Excellent verbal and written communication skills are required. Ability to learn and adapt quickly to maximize productivity. Self-motivated person with the ability to work individually and as part of a team.
• Self-motivated, detail-oriented and organized
• Ability to analyse internal business processes and establish the best approach using practical and pragmatic actions
• Works well independently and effectively collaborate with and contribute to cross-functional teams
• Should be able to work in a team and mentor others