About the Role

FinSpectra is building next-generation AI capabilities for enterprise financial technology platforms.

We are looking for an exceptional, hands-on Lead AI Engineer who has real-world experience designing, building, deploying, and scaling AI agents in production.

We are not looking for someone whose experience is primarily limited to prompt engineering, LLM wrappers, or proof-of-concept applications.

We need an engineer who understands the architecture behind agentic systems, writes outstanding Python code, and knows how to build reliable, secure, scalable AI applications on AWS.

This is a hands-on technical leadership position with significant ownership over our AI architecture and engineering direction.

Experience: 7+ years in software engineering, with demonstrated experience delivering production AI systems

What You'll Own

- Architect and build production-grade AI agents, including tool calling, orchestration, state management, and workflow execution.
- Design scalable Python-based backend services and APIs.
- Build and deploy enterprise AI solutions using AWS, including Amazon Bedrock and related cloud infrastructure.
- Implement RAG pipelines, document processing, knowledge retrieval, and enterprise data integrations.
- Design agent workflows with robust error handling, retries, logging, monitoring, and recovery mechanisms.
- Establish evaluation frameworks to measure agent accuracy, reliability, latency, and cost.
- Implement security controls, tenant isolation, permissions, and safeguards for sensitive financial information.
- Make architecture decisions, review code, and mentor existing AI developers.




- Take end-to-end ownership from technical design through production deployment and ongoing operations.

What We're Looking For Must-have skills

- Exceptional hands-on Python engineering skills, including asynchronous programming, APIs, concurrency, testing, and software design.
- Proven experience deploying and maintaining AI agents or LLM-based systems in real production environments.
- Strong understanding of agent architecture, orchestration, state, memory, tool execution, and failure recovery.
- Significant experience with AWS architecture, deployment, security, and operational monitoring.
- Experience integrating LLMs with enterprise applications, APIs, databases, and document repositories.
- Robust software engineering fundamentals, system design skills, and architectural judgment.
- Ability to independently lead technical implementation while remaining deeply involved in coding.

Preferred experience

- Amazon Bedrock, AgentCore, LangGraph, Strands Agents, or equivalent frameworks.
- RAG, vector databases, embeddings, and document intelligence.
- Docker, CI/CD, infrastructure as code, and cloud-native services.
- Agent evaluations, observability, and production monitoring.
- Secure multi-tenant SaaS architectures.
- Salesforce integrations or enterprise financial services applications.

What Makes This Role Different You won't simply be integrating an LLM into an existing application.

You'll help shape the architecture of enterprise AI capabilities used in real financial workflows, with significant responsibility for engineering quality, security, reliability, and scalability.

You'll work directly with FinSpectra's leadership and engineering teams to take AI initiatives from concept to production.

📌 Lead AI Engineer – Agentic AI & Python (AWS) (Noida)
🏢 FinSpectra
📍 Noida