Aimplify Technologies

Job Description: Location: Bangalore Experience Level: 3 to 5 years Employment Type: Full-time About the Role We are seeking a highly motivated AI/ML Engineer with strong expertise in Generative AI, LLMs, and Agentic AI to join our growing team. You will be responsible for developing, deploying, and optimizing AI-driven solutions, with a focus on LLMs, RAG architectures, and multi-agent systems . This role offers an opportunity to work on cutting-edge AI projects that push the boundaries of automation and intelligent systems. Key Responsibilities Design, build, and deploy AI/ML solutions with a focus on Generative AI (LLMs, RAG) and Agentic AI architectures . Implement vector-based semantic search and retrieval pipelines using Pinecone, Weaviate, ChromaDB, or OpenSearch . Develop, optimize, and evaluate LLM-based applications, including prompt and context engineering . Integrate AI/ML solutions with cloud platforms (GCP Vertex AI, AWS Bedrock, or equivalent). Collaborate with cross-functional teams to understand business requirements and translate them into AI-driven solutions. Contribute to building data pipelines and MLOps workflows to ensure scalable and reliable AI deployments. Research, prototype, and integrate emerging frameworks for multi-agent systems, orchestration, and reasoning . Document processes, best practices, and share knowledge across the team. Key Skills Generative AI & LLMs : RAG architectures, prompt engineering, context optimization. Agentic AI : Agent architectures, planning, reasoning, tool-use, multi-agent orchestration. Programming & Frameworks : Python, LangChain, LlamaIndex, Hugging Face. Vector Databases : Pinecone, Weaviate, ChromaDB, OpenSearch. Cloud AI Platforms : GCP Vertex AI, AWS Bedrock (or similar services). MLOps & Pipelines : Data pipelines, deployment, and model lifecycle basics. Evaluation & Optimization : RAGAS, A/B testing, HITL evaluation frameworks. Fine-Tuning & Adaptation : Domain-specific model training, memory systems for conversational AI. Tooling & Productivity : GitHub Copilot, Cursor, modern AI development tools. Collaboration & Communication : Ability to translate technical concepts for non-technical stakeholders. Must-Have Qualifications 35 years of professional experience in AI, ML, Data Science, or Automation. Hands-on experience with Generative AI (LLMs, RAG) and/or Agentic AI . Strong Python programming skills; experience with LangChain, LlamaIndex, Hugging Face. Familiarity with cloud AI services (GCP Vertex AI, AWS Bedrock). Understanding of data pipelines and MLOps practices . Experience in prompt/context engineering for LLMs. Knowledge of vector databases . Awareness of agent architectures (planning, reasoning, tool-use). Problem-solving mindset and eagerness to learn. Strong teamwork and communication skills. Good-to-Have Qualifications Experience with LangGraph, Google ADK, CrewAI, Semantic Kernel . Exposure to multi-agent systems . Experience with fine-tuning/adapting foundation models . Knowledge of evaluation frameworks (RAGAS, HITL evaluation). Conversational AI memory systems. Productivity tools like GitHub Copilot, Cursor . Function calling, tool integration, and API orchestration. Certifications in AI/ML (Azure, AWS, GCP). Domain knowledge in finance, accounting, or ERP systems . Interview Process To ensure we hire the best fit, our selection process involves two technical rounds : Round 1 Online Technical Interview (90 mins) Focus: Problem-solving, Python coding, ML fundamentals, Generative AI concepts, and applied case scenarios. Format: Discussion of past projects and AI system design. Round 2 Onsite Technical Interview (2–3 hrs) Focus: Deep dive into Generative/Agentic AI projects , architecture design, hands-on problem-solving, and whiteboarding. Includes evaluation of ability to work in teams, communicate technical solutions, and handle real-world challenges. Why Join Us? Work on cutting-edge AI solutions in Generative and Agentic AI. Opportunity to contribute to innovative multi-agent systems at scale. Collaborative, learning-driven team culture. Competitive compensation and career growth opportunities.