Artificial Intelligence Engineer

4 days ago

Cochin, Kerala, India Testing Mavens Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Us
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.

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.

Focus on agentic AI systems, MCP servers, and multi-agent orchestration.

Required Skills

  • 5+ years of professional software engineering experience in AI/ML and hands-on experience in agentic systems.
  • Expert-level proficiency in Python, asynchronous programming, and prompt engineering.
  • Production experience with MCP servers, protocols, SDKs, and standardized tool interfaces.
  • Hands-on experience of agent frameworks: LangGraph, CrewAI, AutoGen, LangChain, OpenAI Agents SDK.
  • Strong experience with RAG architectures, embeddings, and vector DBs (Pinecone, Qdrant, FAISS, Chroma).
  • Familiarity with monitoring tools such as LangSmith, evaluation frameworks.

Responsibilities

  • Develop, and deploy autonomous agentic systems with multi-step reasoning, planning, and memory.
  • Design MCP-based servers and client interfaces linking LLMs to external tools and data.
  • Orchestrate multi-agent workflows using frameworks like AutoGen, CrewAI, and LangGraph.
  • Develop and secure tool-calling function execution environments under MCP specifications.
  • Implement robust planning and memory subsystems backed by vector retrieval and semantic indexing.
  • Integrate agents with enterprise APIs, production infrastructure, and external tools.
  • Embed standards for observability, safety, and responsible AI in multi-agent pipelines.

Preferred Qualifications

  • Multi-modal AI experience (vision, audio, structured data).
  • Experience in RLHF, reward modeling.
  • Experience with observability tools (LangSmith, TruLens) or enterprise LLM evaluation.

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