Mandatory skills
Strong Python programming skills with clean, maintainable code practices
Proven experience with LangChain (Agents, Tools, Memory, Chains)
Hands-on experience with LLMs and prompt engineering
Knowledge of RAG architecture and vector database integration
Experience with REST APIs, GraphQL, and microservices
Familiarity with cloud AI services (Azure AI, AWS Bedrock, GCP Vertex AI)
Solid problem-solving and debugging skills
Excellent communication and teamwork abilities.

Job Description:
Highly skilled Python Developer with hands-on experience in Generative AI, LangChain Agents, and LLM-based application development
Design, develop, and maintain Python-based AI applications using LangChain and related frameworks




Implement LangChain Agents with tools, memory, and decision-making capabilities
Integrate LLMs (OpenAI, Azure OpenAI, Anthropic, LLaMA, etc.) into production workflows
Build RAG pipelines using vector databases (Pinecone, Weaviate, FAISS, Chroma, etc.)
Develop and integrate APIs for AI services and enterprise systems
Optimize AI workflows for latency, scalability, and cost efficiency
Collaborate with data engineers, ML engineers, and product teams to deliver AI-driven features
Ensure security, compliance, and ethical AI practices in all solutions

📌 AI/ML Engineer - GenAI & RAG (Bengaluru)
🏢 TRIGENT SOFTWARE PRIVATE
📍 Bengaluru