Lead Software Engineer

Company: Options Executive Search

Website: Visit Website

LinkedIn: Visit LinkedIn

Business Type: Startup

Company Type: Product

Business Model: B2B

Funding Stage: Series B

Industry: Fintech

Salary Range: ₹ 35-45 Lacs PA

Job Description Our client is a fast-growing AI-driven SaaS company building intelligent automation solutions for enterprise finance teams. Their platform leverages artificial intelligence, machine learning, natural language processing, and modern cloud technologies to automate complex finance and accounting workflows across Accounts Payable and Accounts Receivable functions.

Backed by leading global investors and recognized by industry analysts and technology platforms, our client is building next-generation AI-powered workflow systems that help enterprises improve operational efficiency, reduce manual effort, and gain real-time business visibility.

The engineering team is focused on solving large-scale problems at the intersection of AI, automation, enterprise SaaS, and financial operations.

Our client is looking for a Lead Software Engineer to design and build scalable AI-enabled SaaS products for enterprise finance automation.

This role requires a strong engineering leader with deep backend development expertise, hands-on cloud experience, and practical exposure to integrating Large Language Models (LLMs) into production systems.

You will work closely with cross-functional global teams to build intelligent workflows, scalable distributed systems, and AI-powered product capabilities.

This is a hands-on engineering role suited for someone who enjoys building products in a fast-moving startup environment and can combine architectural thinking with strong execution.

Key Responsibilities

• Own the design, architecture, and development of core platform capabilities hosted on AWS
• Build and optimize AI-powered product features leveraging LLMs, RAG pipelines, and agentic workflows
• Design scalable and reliable backend systems for enterprise SaaS applications
• Collaborate with product, engineering, and business teams across geographies
• Deliver high-quality solutions aligned with the product roadmap and customer needs
• Contribute to engineering best practices, system reliability, and performance optimization
• Work closely with teams to continuously improve platform scalability, observability, and operational efficiency
• Support and promote a strong engineering and product culture

Required Qualifications

• 10+ years of hands-on software engineering experience building and shipping scalable products
• Bachelor’s or Master’s degree in Computer Science or a related engineering discipline
• Strong coding expertise in Node.js
• Experience building and integrating LLM-based applications into production workflows
• Practical understanding of prompt engineering, output validation, latency optimization, and cost optimization for AI systems
• Strong experience in system design, distributed systems, and data modeling
• Experience building multi-tenant SaaS platforms
• Hands-on experience with AWS cloud services and cloud-native architectures
• Familiarity with CI/CD pipelines, Kubernetes, containers, and monitoring tools
• Experience working with relational and large-scale data systems
• Comfortable working in fast-paced startup environments with evolving priorities
• Strong ownership mindset and problem-solving ability
• Experience working within Agile engineering teams
• Must be based in or willing to relocate to Hyderabad

Preferred Qualifications

• Experience with RAG pipelines, vector databases, embedding models, or agentic AI frameworks such as LangChain or LangGraph
• Working knowledge of Python for AI/ML integration and data pipeline development
• Experience with AWS services such as Step Functions, Kinesis, Cassandra, ELK, and RDS
• Exposure to enterprise integrations including SSO, email systems, and workflow orchestration
• Prior experience working in AI SaaS, FinTech, enterprise automation, or workflow platforms
• Educational background from premier engineering institutions is an advantage

What Our Client Is Looking For

• A strong product engineer who enjoys building scalable systems
• Someone who can combine deep engineering expertise with practical AI implementation
• A hands-on problem solver with a bias for action
• An engineer who thrives in ambiguity and startup environments
• A builder who can own systems end-to-end and collaborate effectively across teams