Software Development Engineer
Indexed description
Key Responsibilities
- Design, architect, and develop advanced Conversational AI agents and intelligent automation workflows.
- Build, deploy, and optimize AI agents using leading AI platforms (e.g., Kore.ai, n8n, AgentForce). Integrate and fine-tune LLMs and AI models (e.g., OpenAI, Google Vertex AI, Microsoft Azure AI, Amazon.
- Bedrock, Anthropic Claude, Hugging Face) to deliver scalable solutions. Collaborate with cross-functional teams to understand business needs and translate them into.
- AI-powered automation solutions.
- Lead the end-to-end lifecycle of AI agent development - from requirement analysis to deployment and monitoring.
- Ensure security, scalability, and reliability of deployed AI agents. Stay up-to-date with the latest AI/ML frameworks, tools, and industry best practices.
- Strong programming experience in Python, Node.js with hands-on experience in API development & integration.
- Proven expertise in building and deploying RAG, Conversational AI agents, chatbots, or intelligent automation systems.
- Deep knowledge of LLMs, prompt engineering, fine-tuning, and embeddings.
- Experience with cloud AI services (AWS, GCP, Azure) and scalable deployment frameworks.
- Relevant experience in working with Kore.ai platforms is required.
- Familiarity with workflow automation platforms and agent orchestration.
- Strong problem-solving skills with the ability to design business-driven AI solutions.
- Excellent communication and leadership skills.
- Experience in vector databases (e.g., Pinecone, Weaviate, FAISS).
- Exposure to MLOps and CI/CD for AI solutions.
- Prior work in domain-specific AI agent development (finance, healthcare, customer support, etc.
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