Job Description
Role: Senior AI Engineer
Location: India (Remote)
Salary: Open
_________________________________________________________
Job Summary
We are seeking an experienced AI Engineer with 2+ years of hands-on experience in building and deploying Generative AI systems. This role involves technical contributions as well as leading and mentoring a team of interns. You will collaborate closely with the team to design scalable AI solutions using large language models (LLMs), AI workflows, and automation tools that have real-world impact.
Key Responsibilities
Technical Responsibilities
Design & Development: Build, deploy, and optimize Generative AI solutions using LLMs, Retrieval-Augmented Generation (RAG), and AI workflow automation tools.
Architecture: Collaborate on designing scalable, reliable AI architectures using platforms such as Dify.ai, Windsurf, or Cursor.
Research & Innovation: Stay up to date with the latest advancements in Generative AI, including LLMs, agent frameworks, and automation tools, and integrate them into our solutions.
Testing & Validation: Develop robust testing and validation processes to ensure AI workflows, agents, and APIs are reliable, accurate, and scalable.
Leadership & Mentorship
Team Leadership: Lead a team of interns focused on AI workflow creation, LLM integrations, and prompt engineering.
Mentorship: Train interns in Generative AI concepts, best practices, and tools — including LLM-based agents and vector databases.
Project Management: Manage project allocations, ensure deliverables align with business goals, and support debugging and deployment of AI solutions.
Performance Monitoring: Track progress, provide feedback, and guide interns in developing their AI engineering careers.
Requirements:
Education
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
Experience
Minimum 2 years of experience developing Generative AI systems using LLMs, AI-driven automation, and agent-based architectures.
Technical Skills
Proficient in Python and JavaScript (experience with FastAPI is a plus).
Experience with AI tools such as Dify.ai, Windsurf, Cursor, and various LLMs (e.g., OpenAI, Mistral, Claude).
Familiarity with containerization tools like Docker and Kubernetes.
Understanding of CI/CD pipelines (e.g., GitHub Actions, Jenkins).
Strong command of version control using Git.
Solid foundation in computer science fundamentals, including data structures and algorithms.
Soft Skills
Excellent problem-solving and analytical abilities.
Strong communication and interpersonal skills.
Proven experience in leading and mentoring teams.
Preferred / Bonus Skills
Familiarity with advanced Generative AI tools and frameworks such as ElevenLabs, Mistral, Claude, OpenAI, LangChain, LlamaIndex, Groq.
Understanding of RAG architectures, vector databases, and AI agent frameworks such as AutoGen, CrewAI, or Superagent.
Exposure to platforms including MCP, Hugging Face, OpenRouter, Flowise, or ChromaDB.
Apply at [email protected]
Location: India (Remote)
Salary: Open
_________________________________________________________
Job Summary
We are seeking an experienced AI Engineer with 2+ years of hands-on experience in building and deploying Generative AI systems. This role involves technical contributions as well as leading and mentoring a team of interns. You will collaborate closely with the team to design scalable AI solutions using large language models (LLMs), AI workflows, and automation tools that have real-world impact.
Key Responsibilities
Technical Responsibilities
Design & Development: Build, deploy, and optimize Generative AI solutions using LLMs, Retrieval-Augmented Generation (RAG), and AI workflow automation tools.
Architecture: Collaborate on designing scalable, reliable AI architectures using platforms such as Dify.ai, Windsurf, or Cursor.
Research & Innovation: Stay up to date with the latest advancements in Generative AI, including LLMs, agent frameworks, and automation tools, and integrate them into our solutions.
Testing & Validation: Develop robust testing and validation processes to ensure AI workflows, agents, and APIs are reliable, accurate, and scalable.
Leadership & Mentorship
Team Leadership: Lead a team of interns focused on AI workflow creation, LLM integrations, and prompt engineering.
Mentorship: Train interns in Generative AI concepts, best practices, and tools — including LLM-based agents and vector databases.
Project Management: Manage project allocations, ensure deliverables align with business goals, and support debugging and deployment of AI solutions.
Performance Monitoring: Track progress, provide feedback, and guide interns in developing their AI engineering careers.
Requirements:
Education
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
Experience
Minimum 2 years of experience developing Generative AI systems using LLMs, AI-driven automation, and agent-based architectures.
Technical Skills
Proficient in Python and JavaScript (experience with FastAPI is a plus).
Experience with AI tools such as Dify.ai, Windsurf, Cursor, and various LLMs (e.g., OpenAI, Mistral, Claude).
Familiarity with containerization tools like Docker and Kubernetes.
Understanding of CI/CD pipelines (e.g., GitHub Actions, Jenkins).
Strong command of version control using Git.
Solid foundation in computer science fundamentals, including data structures and algorithms.
Soft Skills
Excellent problem-solving and analytical abilities.
Strong communication and interpersonal skills.
Proven experience in leading and mentoring teams.
Preferred / Bonus Skills
Familiarity with advanced Generative AI tools and frameworks such as ElevenLabs, Mistral, Claude, OpenAI, LangChain, LlamaIndex, Groq.
Understanding of RAG architectures, vector databases, and AI agent frameworks such as AutoGen, CrewAI, or Superagent.
Exposure to platforms including MCP, Hugging Face, OpenRouter, Flowise, or ChromaDB.
Apply at [email protected]
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