The Role
Develop proprietary foundation models, fine-tune domain-specific models, and architect multi-agent systems with autonomous reasoning, tool calling, and advanced RAG. Build curated and synthetic datasets for pretraining, alignment, and benchmarking. The role requires deep generative AI expertise, including LLM development, agent frameworks, foundation model architecture, and production-grade RAG pipelines, along with proficiency in modern model training, inference, vector infrastructure, and data technologies.
Summary Generated by Built In
Job Title- Senior Data Scientist
Location- Washington DC
Onsite- 5 days
Primarily we are looking for Sr Data Scientist who have good experience with Agents and related frameworks & use cases fit for FinTech.
What You Will Do:
- Develop Foundation Models: Contribute to the end-to-end development of proprietary foundation models and domain-specific fine-tuning (PEFT, RLHF) to solve high-stakes business challenges.
- Architect Agentic Systems: Engineer sophisticated multi-agent orchestrations, autonomous reasoning loops, and tool-calling workflows that integrate advanced RAG for complex, multi-step problem solving.
- Engineer High-Fidelity Data: Drive the synthesis of curated and synthetic datasets, ensuring data integrity for large-scale model pre-training, alignment, and benchmarking.
What You Will Bring:
- Distinguished Academia: An advanced degree (PhD or Masters) in Computer Science or a quantitative field from a world-class institution.
- Elite Industry Pedigree: A proven track record of delivering high-impact AI solutions at top-tier tech firms, AI research labs, or leading management consulting practices.
- Deep Generative AI Mastery: 3+ years of specialized experience in LLM development, including the design of autonomous agents, architectural design of foundation models, and production-grade RAG pipelines.
Technical Proficiencies:
- Frameworks: PyTorch, TensorFlow, JAX.
- Agent & LLM Orchestration: LangGraph, Semantic Kernel, CrewAI, AutoGen, LangChain, LlamaIndex.
- Fine-Tuning & Ops: DeepSpeed, LoRA/QLoRA, vLLM, Triton Inference Server.
- Data & Vector Infra: Pinecone, Milvus, Weaviate, Spark, SQL.
Skills Required
- Advanced degree, preferably a PhD or Master's degree, in Computer Science or a quantitative field
- Experience delivering high-impact AI solutions at a top-tier technology firm, AI research lab, or leading management consulting practice
- 3+ years of specialized experience in LLM development
- Experience designing autonomous agents
- Experience with foundation model architecture
- Experience building production-grade RAG pipelines
- Experience with PyTorch, TensorFlow, or JAX
- Experience with agent and LLM orchestration frameworks such as LangGraph, Semantic Kernel, CrewAI, AutoGen, LangChain, or LlamaIndex
- Experience with DeepSpeed, LoRA or QLoRA, vLLM, or Triton Inference Server
- Experience with Pinecone, Milvus, Weaviate, Spark, or SQL
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The Company
What We Do
Blackbuck Insights is a global data and AI consultancy providing data engineering services, cloud modernization, AI activation, and platform operations. The company helps enterprises modernize legacy environments, migrate and scale data platforms, build AI-enabled business applications, and establish trusted data foundations for analytics and intelligent decision-making. Its services support organizations seeking reliable, performant, and scalable technology solutions.
