Senior AI Engineer, Python

Role Overview: You are a 9+ years experienced AI Engineer with expertise in Python, Agentic AI frameworks, and hands-on experience with Google Gemini models. Your main responsibilities will include building intelligent multi-agent workflows, developing LLM-powered applications, designing RAG pipelines, and integrating AI capabilities into enterprise systems. This role requires strong engineering skills, model integration experience, and the ability to build production-grade AI solutions. Key Responsibilities: - Design and develop LLM-powered applications using Google Gemini models (Pro, Ultra, Flash, etc,) - Build agentic AI systems using frameworks like LangChain, CrewAI, AutoGen, Semantic Kernel, etc, - Develop RAG pipelines, embedding workflows, and vector search integrations - Write clean, optimized Python code for orchestration, inference, and automation tasks - Build scalable APIs and backend services to expose AI capabilities to enterprise applications - Integrate Gemini models with cloud services (Vertex AI) and enterprise data sources - Implement prompt engineering, chain-of-thought design, and multi-step agent reasoning - Optimize model latency, cost, and throughput for production deployments - Collaborate with product, data engineering, and platform teams to define AI solution architecture - Ensure governance, security, and responsible AI practices Qualifications Required: - Strong hands-on experience in Python for AI/ML application development - Experience building Agentic AI workflows with LangChain AutoGen CrewAI similar frameworks - Hands-on experience using Google Gemini models or Vertex AI LLMs - Understanding of LLMs, embeddings, vector databases (FAISS, Pinecone, Chroma) - Experience building RAG, conversational AI, and LLM inference pipelines - Experience integrating AI services via REST, gRPC, Web APIs - Familiarity with cloud platforms (Google Cloud preferred; AWS/Azure acceptable) - Strong problem-solving and debugging skills Company Details: You will be part of Bounteous where you can have an impact on teams, clients, and the company as a whole. Working in a collaborative environment with energetic and innovative people to solve challenging problems can be truly rewarding. The company offers competitive benefits, career development opportunities, health & wellness perks, and flexible working options. Bounteous fosters a culture that encourages creativity, collaboration, and a deep sense of belonging. Professional growth opportunities, competitive benefits, world-class engagements, and a commitment to corporate social responsibility are some of the key aspects of working at Bounteous. (Note: Additional details about the company's benefits and perks have been omitted as they are not directly related to the job description) Role Overview: You are a 9+ years experienced AI Engineer with expertise in Python, Agentic AI frameworks, and hands-on experience with Google Gemini models. Your main responsibilities will include building intelligent multi-agent workflows, developing LLM-powered applications, designing RAG pipelines, and integrating AI capabilities into enterprise systems. This role requires strong engineering skills, model integration experience, and the ability to build production-grade AI solutions. Key Responsibilities: - Design and develop LLM-powered applications using Google Gemini models (Pro, Ultra, Flash, etc,) - Build agentic AI systems using frameworks like LangChain, CrewAI, AutoGen, Semantic Kernel, etc, - Develop RAG pipelines, embedding workflows, and vector search integrations - Write clean, optimized Python code for orchestration, inference, and automation tasks - Build scalable APIs and backend services to expose AI capabilities to enterprise applications - Integrate Gemini models with cloud services (Vertex AI) and enterprise data sources - Implement prompt engineering, chain-of-thought design, and multi-step agent reasoning - Optimize model latency, cost, and throughput for production deployments - Collaborate with product, data engineering, and platform teams to define AI solution architecture - Ensure governance, security, and responsible AI practices Qualifications Required: - Strong hands-on experience in Python for AI/ML application development - Experience building Agentic AI workflows with LangChain AutoGen CrewAI similar frameworks - Hands-on experience using Google Gemini models or Vertex AI LLMs - Understanding of LLMs, embeddings, vector databases (FAISS, Pinecone, Chroma) - Experience building RAG, conversational AI, and LLM inference pipelines - Experience integrating AI services via REST, gRPC, Web APIs - Familiarity with cloud platforms (Google Cloud preferred; AWS/Azure acceptable) - Strong problem-solving and debugging skills Company Details: You will be part of Bounteous where you can have an impact on teams, clients, and the company as a whole. Working in a collaborative environment with energetic and innovative people to solve challen