
AI Engineer
4 days ago
At Ascend Analytics, we believe data is not just numbers—it\'s the heartbeat of innovation With a mission to transform data into actionable insights, we foster a culture of curiosity, collaboration, and creativity. Imagine working in a place where your ideas are celebrated, your skills grow daily, and your teammates are as fun as they are brilliant.
About the RoleWe are looking for a AI Engineer for building agentic AI systems at an enterprise level. This role involves building intelligent agents that can reason, plan, and execute complex tasks autonomously, leveraging LLMs, multi-agent orchestration, and advanced machine learning models. You will work closely with the AI architecture team to design scalable solutions that integrate seamlessly with enterprise workflows.
What You'll Do- Architect and implement AI agentic systems with multi-step reasoning, memory, and planning capabilities.
- Design and implement semantic retrieval layers, including RAG pipelines, knowledge graphs, and vector-based search.
- Integrate LLMs with structured/unstructured enterprise data through semantic orchestration.
- Develop and optimize machine learning models (including LLM fine-tuning, embeddings, and task-specific models) for agent decision-making.
- Integrate external APIs, vector databases, and enterprise systems into AI workflows.
- Lead R&D on orchestration frameworks (LangChain, Haystack, custom orchestrators) for autonomous agents.
- Design prompt engineering strategies and knowledge retrieval systems for context-aware responses.
- Ensure scalability, security, and compliance for enterprise-grade AI deployments.
- Mentor junior engineers and review code for quality and best practices.
- Strong 2+ years of experience in AI/ML frameworks: PyTorch, TensorFlow, Hugging Face, LangChain, LangGraph, LlamaIndex.
- Deep understanding of LLMs and agent frameworks (OpenAI, Anthropic, Hugging Face Transformers).
- Expertise in multi-agent systems, reinforcement learning, and autonomous decision-making.
- Strong background in Python, REST APIs, and cloud platforms (AWS, GCP, Azure).
- Knowledge of vector databases (Pinecone, Weaviate, FAISS) and knowledge graphs.
- Experience with enterprise security and compliance for AI systems.
- Experience with LangGraph, AutoGen, or similar orchestration frameworks.
- Background in knowledge retrieval and semantic search.
- Contributions to open-source AI projects or research papers in the AI/agentic space.
- Immediate availability will be considered an added advantage.
- Fun & flexibility: Enjoy a hybrid work model, dynamic hours, and an energetic workplace.
- Professional growth: Sponsorships for certifications, tech conferences, and personal development.
- Vibrant culture: Team outings, brain breaks, and competitions (think game nights).
- Global exposure: Work on meaningful projects with clients spanning industries and continents.
- Mid-Senior level
- Full-time
- Engineering and Information Technology
- IT Services and IT Consulting
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