BENGALURU · FULLTIME
Lead AI Software Engineer
InvestCloud
Bengaluru · onsite · Posted 5d ago
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Not disclosed8–10 yrsfulltimeBengaluru
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Section · 01
About this role
Core Responsibilities
Agentic-AI architecture and production engineering
Based in InvestCloud's Bengaluru office, working closely with global colleagues across locations. Hybrid working model with 3 days in office.
Why InvestCloud
InvestCloud is committed to fostering an inclusive workplace and welcomes applicants from all backgrounds.
Agentic-AI architecture and production engineering
- Define reusable architectures and patterns for stateful agents, tool calling, memory, human-in-the-loop workflows, model orchestration, RAG, and vector retrieval.
- Design, build, deploy, and operate production-grade LLM applications, agent services, integrations, retrieval layers, and tool adapters using Python and modern engineering practices.
- Lead architecture and design reviews; make pragmatic trade-offs across quality, latency, reliability, cost, maintainability, data access, and security.
- Own the transition from prototype to production, including CI/CD, observability, incident response, rollback, and continuous improvement.
- Define evaluation and regression strategies for task success, factuality, groundedness, safety, robustness, and agent behavior.
- Establish tracing, monitoring, feedback, and service-level measures for quality, availability, latency, and cost per task.
- Design controls for privacy, PII, access management, prompt injection, data leakage, unsafe tool use, auditability, and human override.
- Partner with global AI, product, engineering, data platform, security, legal, and compliance teams to shape the roadmap and drive adoption of common AI building blocks.
- Mentor senior engineers and data scientists through design reviews, pair engineering, reference implementations, documentation, and operational playbooks.
- Evaluate models, frameworks, platforms, and third-party providers; lead technical due diligence and production-readiness assessments.
- Typically, 8 + years in software engineering, machine learning engineering, AI engineering, or a related discipline; equivalent depth will be considered.
- At least 3-4 years of delivering production AI, Generative AI, machine learning, or LLM-powered systems.
- Demonstrated ownership of production LLM applications, agentic workflows, RAG systems, or AI-enabled services from design through operation.
- Strong Python skills and experience building maintainable, tested, production-quality services and APIs.
- Hands-on experience with LangGraph, LangChain, or comparable agentic frameworks, including state, tools, memory, and human-in-the-loop patterns.
- Strong understanding of prompt/context engineering, embeddings, vector search, retrieval, and LLM evaluation.
- Experience with Git, Docker, CI/CD, cloud services, observability, and production deployment workflows.
- Working knowledge of PostgreSQL, Oracle, or comparable relational databases, including data quality, access, lineage, and performance considerations.
- Ability to lead technical decisions across teams without formal authority, communicate clearly in English, and operate with sound judgment in a controls-focused environment.
- Experience with AWS, GCP, Azure, Snowflake, Databricks, vector databases, model gateways, tracing, evaluation, or guardrail tooling.
- Experience operating AI systems in financial services or another regulated industry; knowledge of model risk, privacy, and secure software development.
- Background in MLOps, platform engineering, event-driven systems, distributed services, or high-availability production environments.
- Data science or machine-learning experience with PyTorch, scikit-learn, or equivalent frameworks.
- Practical experience with agentic coding tools such as Claude Code, Cursor, or comparable tools, with continued ownership of code quality, security, testing, and design.
Based in InvestCloud's Bengaluru office, working closely with global colleagues across locations. Hybrid working model with 3 days in office.
Why InvestCloud
- Shape a strategic agentic-AI capability in a global wealth-technology company.
- Own technical decisions from architecture through production operation across multiple products.
- Work across AI engineering, data science, product engineering, security, and financial-services technology.
- Join a diverse, international, and cross-functional engineering environment.
InvestCloud is committed to fostering an inclusive workplace and welcomes applicants from all backgrounds.
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Section · 02
Skills
observabilityDockerPostgresqlcloud servicesMLOpsOracle DBPytorchScikit-LearnPythonLanggraphLangchainGIT
Section · Company
About InvestCloud
InvestCloud
Financial Services
1001-5000
employees
Bangalore / Bengaluru, Karnataka
India
₹14.6L PA avg
Avg at InvestCloud
About
Enabling clients, advisors and their customers through connected technology, enhanced intelligence, and inspired experiences. InvestCloud, a global leader in wealth technology, aspires to enable a smarter financial future. Driving the digital transformation of the wealth management industry, the company serves a broad array of clients globally, including Wealth and Asset Managers, Wirehouses, Banks, RIAs, and Insurers. In terms of scale, the company’s clients represent more than 40 percent of the $132 trillion of total assets globally. As a leader in delivering personalization and scale across advisory programs, including unified managed accounts (UMA) and separately managed accounts (SMA), the company is committed to the success of its clients. By equipping and enabling advisors and their clients with connected technology, enhanced intelligence, and inspired experiences, InvestCloud delivers leading digital wealth management and financial planning solutions, complemented by a dynamic data warehouse, which scale across the complete wealth continuum. In 2024, InvestCloud was named a CNBC World’s Top Fintech Company, a proof point of the company’s commitment to innovation and client success. Headquartered in the United States, InvestCloud serves clients around the world.
Industries
Cloud ManagementFinancial ServicesFinTechOutsourcingSoftware
Employee ratings
10 reviews
3.6/ 5
Culture
3.1
Career growth
2.9
Work-life
3.9
Employees rate it well for
Work-Life Balance38Overall Company36
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