Software Engineer Consultant II
About The Position
Our Mission We are on a mission to unlock business value from petabyte-scale unstructured enterprise data by building cutting-edge AI, GenAI, and Agentic AI capabilities on top of our Unstructured Data Platform. In this role, you'll help transform massive volumes of documents, voice recordings, images, and video into actionable intelligence, powerful insights, and autonomous AI systems that drive real business decisions. You will design and build AI systems that combine large-scale data engineering, machine learning, and generative AI to power next-generation enterprise capabilities.
Requirements
- Python (required) for AI/ML development.
- Java, hands-on experience building backend services and enterprise integrations.
- Ability to work across both Python and Java codebases, integrating AI/ML components into Java-based enterprise systems
- Proven experience building production AI/ML systems.
- Strong understanding of data pipelines and distributed data processing.
- Hands-on experience in one or more of the following areas: Large Language Models (LLMs), Retrieval Augmented Generation (RAG), Vector Search & Embeddings, Multimodal AI, AI Agents / Agent Frameworks, Prompt Engineering, Semantic Models
- Experience with LangChain / LlamaIndex / Semantic Kernel, HuggingFace, OpenAI / AWS Bedrock / Azure OpenAI
- Experience with large-scale enterprise data environments: Data Lakes, Lakehouse architectures
- Experience with Microsoft Fabric, Azure Fabric or similar platforms
- Experience with Kafka, event-driven architectures
- Experience with Amazon Web Services (AWS)
- Experience with Datastores: MongoDB Atlas, Amazon DocumentDB
- Experience with ML / AI Platforms: Amazon SageMaker or similar ML platforms, AWS Bedrock for foundation model access and deployment.
- Experience with Model training, evaluation, and deployment
- Experience with MLOps workflows
- Observability & Reliability: Monitoring and troubleshooting AI/data pipelines
- Experience with tools like Datadog, CloudWatch
Nice To Haves
- Vector databases
Responsibilities
- Design and build AI systems that combine large-scale data engineering, machine learning, and generative AI to power next-generation enterprise capabilities.
- Transform massive volumes of documents, voice recordings, images, and video into actionable intelligence, powerful insights, and autonomous AI systems that drive real business decisions.
Benefits
- Work on petabyte-scale data challenges
- Build with the latest GenAI and Agentic AI technologies
- Transform unstructured data into enterprise intelligence
- Be part of a team shaping the future of AI-powered decision making
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
