Company Profile
Infocusp Innovations is an IT firm working in the broad fields of Machine Learning, Artificial Intelligence (AI), Computer Science, Software Engineering, Mobile and Web App Development, QA, and Signal Processing. Global presence in India and The United States of America with offices in Ahmedabad, Pune and California, we make businesses smart and systems smarter to make people's lives easier. Our teams work closely with the research and product engineering teams to develop next-gen robust solutions that improve the quality of life of users and enhance the user experience. We have worked on high-impact projects in the domains of Healthcare, FinTech, IoT, Law and Humanity, AgroTech and Horticulture, Molecular Chemistry, GeoPhysics, Biology, Energy, Logistics, Recruitment and Gaming.
Transparent communication, healthy and constructive discussions along with an open and welcoming work culture are what we prefer at Infocusp. We make conscious decisions to facilitate our work with favorable working conditions and amenities that enable our employees to give their best.
About the Role
The individual will lead the design, development, and deployment of complex, autonomous agentic AI solutions within production environments, working across multi-agent frameworks and orchestrating large language models. The position is for scalable applied AI, with a focus on delivering robust and fair agentic systems that deliver organizational value, autonomy, and operational efficiency.
Responsibilities
Architect, design, and deploy scalable multi-agent systems, optimizing LLM coordination, memory management, and reliable tool-calling interfaces.
Build and maintain production-grade LLM workflows using frameworks like LangGraph and ADK, optimizing for latency, cost, and inference accuracy.
Integrate agentic workflows into our core application to automate complex financial analysis and intelligent decision-support features.
Establish rigorous evaluation frameworks (e.g., LLM-as-a-judge, regression testing for prompts) to debug agent trajectories and guarantee predictable outputs.
Implement strict security protocols and guardrails to mitigate hallucinations, protect sensitive consumer financial data, and comply with financial data privacy regulations.
Mentor junior engineers, collaborate with product and data platform teams, and guide the technical roadmap for our LLM infrastructure.
Requirements
5+ years of professional software engineering or data science experience, with a proven track record of shipping production-grade software systems.
2+ years of hands-on experience building production applications with orchestration frameworks like LangChain, LangGraph, ADK or custom equivalents.
Experience designing resilient function-calling mechanics for autonomous agents, with practical experience implementing Model Context Protocol (MCP) integrations to connect LLMs with core data layers and microservices.
Experience setting up production-grade LLM observability and evaluation frameworks (e.g., LangSmith, Phoenix, Arize, or OpenTelemetry) to monitor agent trajectories, token spend, latency, and system accuracy.
Prior experience in FinTech, personal finance applications or working with financial APIs is highly preferred.
Preferred Skills
Strong background in advanced Retrieval-Augmented Generation (RAG) techniques, including hybrid search, vector databases, and integrating Knowledge Graphs (e.g., Neo4j) to enable contextual financial data retrieval.
Experience analyzing financial time-series data, paired with a familiarity or strong interest in professional financial planning frameworks (such as concepts covered in the CFP curriculum) to model complex user financial scenarios.
A history of open-source contributions to AI frameworks, technical writing, or presenting at industry conferences.
Location:
Ahmedabad/ Pune
If you would like to apply for this role, send your resume to
careers@infocusp.com
.
