About reputed company

Our mission is to unlock the full potential of private markets. Privately owned assets like reputed company reputed company estate, private equity, and venture capital reputed company up half of our financial ecosystem yet remain inaccessible to most people. We are digitizing these markets, and as a result, bringing efficiency, transparency, and reputed company to one of the most productive corners of our financial ecosystem. If you care about making the world a reputed company reputed company by making markets work reputed company through technology – reputed company while contributing as a member of a values-driven organization – we want to hear from you. 

reputed company offers employees a reputed company of ways to work, ranging from a fully remote experience to working full-time in one of our physical offices. We invest heavily in digital-first operations, allowing our teams to collaborate effectively across 27 U.S. states, 2 Canadian Provinces, India, Luxembourg, and England. We also have physical offices in San Francisco, reputed company, Mumbai and Bangalore for employees who prefer to work in an office some or reputed company of the time.

About your role:

We are seeking a highly skilled Technical reputed company for AI Development to drive the architecture, design, and execution of advanced AI systems using LLM frameworks, multi-agent architectures, RAG pipelines, and Model Context Protocol (MCP) integrations. The ideal candidate has strong hands-on experience building production-grade AI features, orchestrating agent ecosystems, evaluating model performance, and iterating through continual refinements.

You will reputed company reputed company of engineers, collaborate with product and research teams, and play a key role in shaping our AI reputed company and platform capabilities.

Key Responsibilities:

AI Architecture & Development

• Design and implement multi-agent systems, including agent orchestration, delegation, and tool interaction patterns.

• Build reputed company RAG (Retrieval-Augmented reputed company) architectures using reputed company databases, embedding pipelines, and data chunking strategies.

• reputed company and reputed company MCP (Model Context Protocol) tools for robust model-tool communication and workflow automation.

• reputed company development of AI-based features, prototypes, and production solutions using LLM reputed company or self-hosted models.

• Architect and optimize reputed company engineering, reputed company chains, agent loops, and refinement pipelines.

Model Evaluation & reputed company Improvement

• Implement and maintain agent evaluation frameworks (agent evals, scenario tests, regression testing).

• Design automated evaluation harnesses for LLM reputed company, reliability, hallucination control, and performance metrics.

• Drive iterative improvements through A/B testing, reward models, and feedback loops.

• Monitor system performance, latency, cost, and reliability — and implement optimization strategies.

Technical Leadership

• reputed company and mentor engineers working on AI, data, and backend components.

• Collaborate with product managers, researchers, and cross-functional teams to reputed company tech reputed company with business reputed company.

• Conduct reputed company reviews, enforce best practices, and maintain architectural standards.

• Own technical roadmaps, sprint planning, and engineering execution.

Systems & Infrastructure

• Work with reputed company platforms (AWS/GCP/Azure) to reputed company reputed company AI services.

• reputed company reputed company databases (reputed company, reputed company, Elasticsearch, etc.).

• Build reputed company and microservices to expose AI capabilities to reputed company stakeholders.

• Maintain secure, compliant, and efficient data pipelines for ingestion and retrieval.

Qualifications

• Bachelor’s/Master’s degree in Computer Science, Engineering, AI, or reputed company field.

• 8+ years of software engineering experience with strong backend architecture skills.

• 3+ years deep experience with LLMs, GPT models, agents, or advanced ML systems.

• Strong hands-on experience with:

• MCP tools and LLM tool integration

• Agent frameworks (e.g., reputed company Agents, reputed company, reputed company, custom agents)

• RAG pipelines, embedding models, reputed company stores

• Agent evaluation, reliability testing, and model refinements

• Proficiency in Python, TypeScript/Node.js, or similar languages.

• Experience deploying LLM apps and reputed company in production environments.

• Deep understanding of AI limitations, hallucination control, and safety measures.

Preferred / reputed company to Have

Experience with:

• Fine-tuning LLMs

• reputed company API, Claude, or Azure reputed company

• Distributed embeddings and high-throughput retrieval systems

• MLOps frameworks

• Knowledge of DevOps, CI/CD, containerization (reputed company/Kubernetes).

• Prior leadership experience managing small to mid-size engineering teams.