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Urgent! Testing Mavens - Artificial Intelligence Engineer - Python Job Opening In Kochi – Now Hiring TESTING MAVENS SOFTWARE PVT LTD

Testing Mavens Artificial Intelligence Engineer Python



Job description

Us :<br/></b><br/>Testing Mavens is a next-generation QA & Software Testing Services provider headquartered in New Jersey, USA, with offshore facilities in India.

We have deep expertise in various spheres like Finance and Advisory, EdTech, Fashion and Pharmacy, etc.<br/><br/>We partner with massive global brands to deliver excellent testing experience.

Looking for an AI Engineer to build autonomous AI agents using cutting-edge frameworks and protocols.<br/><br/>Focus on agentic AI systems, MCP servers, and multi-agent orchestration.<br/><br/><b>Required Skills :</b><br/><br/>- 5+ years of professional software engineering experience in AI/ML and hands-on experience in agentic systems.<br/><br/>- Expert-level proficiency in Python, asynchronous programming, and prompt engineering.<br/><br/>- Production experience with MCP servers, protocols, SDKs, and standardized tool interfaces.<br/><br/>- Hands-on experience of agent frameworks: LangGraph, CrewAI, AutoGen, LangChain, OpenAI Agents SDK.<br/><br/>- Strong experience with RAG architectures, embeddings, and vector DBs (Pinecone, Qdrant, FAISS, Chroma).<br/><br/>- Familiarity with monitoring tools such as LangSmith, evaluation frameworks.<br/><br/><b>Responsibilities :</b><br/><br/>- Develop, and deploy autonomous agentic systems with multi-step reasoning, planning, and memory.<br/><br/>- Design MCP-based servers and client interfaces linking LLMs to external tools and data.<br/><br/>- Orchestrate multi-agent workflows using frameworks like AutoGen, CrewAI, and LangGraph.<br/><br/>- Develop and secure tool-calling function execution environments under MCP specifications.<br/><br/>- Implement robust planning and memory subsystems backed by vector retrieval and semantic indexing.<br/><br/>- Integrate agents with enterprise APIs, production infrastructure, and external tools.<br/><br/>- Embed standards for observability, safety, and responsible AI in multi-agent pipelines.<br/><br/><b>Preferred Qualifications :</b><br/><br/>- Multi-modal AI experience (vision, audio, structured data).<br/><br/>- Experience in RLHF, reward modeling.<br/><br/>- Experience with observability tools (LangSmith, TruLens) or enterprise LLM evaluation.<br/></p><br/></p> (ref:hirist.tech)


Required Skill Profession

Computer Occupations



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