AI Engineer
Full Job Description
As an AI Engineer based on-site at a client's location in Mumbai, India, you will be the crucial technical link between Vecton's central AI engineering team and the financial institution's technology teams. You will deeply understand the client's challenges, technology stack, operational constraints, and regulatory boundaries to build, integrate, and operationalize AI solutions designed by our central team. This is a high-ownership, forward-deployed role where you will work directly with client stakeholders to identify automation opportunities, translate them into production-grade intelligent systems, and ensure measurable business value. You will report to Vecton's central engineering team, with a dotted-line accountability to the client's technical leadership.
What You'll Do
- Serve as the on-site AI engineering presence, collaborating with client teams to understand business problems, identify automation opportunities, and define AI use cases.
- Architect and deliver GenAI systems integrating LLMs, multi-agent workflows, and RAG solutions into production-grade intelligent applications.
- Understand and work within the client's technology stack, infrastructure, data landscape, and compliance requirements to build effective solutions.
- Contribute to solution proposals by owning relevant sections, assisting in solution design, and preparing effort estimates aligned with client budgets.
- Conduct solution Proof of Concept (PoC) demos to build client confidence and drive adoption.
- Build integrations between AI systems and existing client applications, data pipelines, and APIs using relevant software development frameworks.
- Actively leverage AI-assisted development tools to accelerate development and enhance output quality.
- Collaborate with Vecton's central team to share learnings, patterns, and reusable components, enriching the organization's knowledge base.
What We're Looking For
- Strong knowledge of LLMs, prompt engineering, RAG, and agentic AI frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen).
- Hands-on experience building and deploying GenAI applications in production or near-production environments.
- Familiarity with vector databases (e.g., Pinecone, Weaviate, pgvector) and embedding-based search pipelines.
- Awareness of the evolving AI tooling landscape and a strong desire for continuous learning.
- 2–5 years of software development experience, with Python proficiency for AI/ML workloads.
- Working knowledge of a software development stack (e.g., MERN/MEAN or Java/Spring Boot) for integration and application development.
- Ability to build and consume RESTful APIs, work with JSON, and integrate AI components into existing software systems.
Company
vecton ai
Vecton is an AI-first technology partner exclusively focused on financial institutions. We specialize in designing, building, and deploying AI-enabled solutions for lending, trading, insurance, credit...