Lead Software Engineer - Generative AI

Description :

Job Title : Lead Software Engineer (Gen AI)

Engagement Details :

- Job Type : Contract

- Location : Chennai

- Work Timings : 9 : 00 AM - 5 : 00 PM IST (General Shift)

- Notice Period : Immediate joiners preferred

Experience Requirements :

- Total Experience : 7+ years

Relevant Experience :

- 5+ years of experience in software engineering, automation, or AI-driven solution development

- 3+ years of hands-on experience working with Generative AI / LLM-based systems

Role Overview :

We are seeking a highly skilled GenAI Architect to design, build, and deploy Generative AIbased solutions for IT Operations automation. This role involves working closely with IT Operations and ITSM subject matter experts to translate ITIL processes into intelligent, scalable GenAI workflows.

The ideal candidate will bring strong expertise in GenAI frameworks, AI orchestration, and cloud-native architectures, with a focus on delivering production-ready AI solutions that drive measurable operational outcomes.

Key Responsibilities :

- Architect and develop Generative AIbased components for IT Operations automation

- Collaborate with ITSM and ITIL SMEs to understand operational processes and translate them into GenAI workflows

- Design, build, and fine-tune AI models for knowledge generation and resolution recommendations

- Ensure scalability, reliability, and production readiness of AI solutions

- Integrate GenAI components with ITSM platforms and monitoring/observability tools

- Conduct performance benchmarking and measure outcomes against defined baseline metrics

- Identify high-value automation use cases and continuously optimize AI-driven workflows

- Support deployment, monitoring, and continuous improvement of AI solutions in production environments

Technical Skills :

Must Have :

Hands-on experience with Generative AI frameworks such as :

- LangChain

- LangGraph

- LangFlow

Experience building GenAI pipelines, including :

- LangChain pipelines

- Multi-agent orchestration using LangGraph

- Workflow design using LangFlow

Strong understanding of Retrieval-Augmented Generation (RAG), including :

- Hybrid RAG (BM25 + embeddings + rerankers)

- Agentic RAG

- Prompt engineering and context optimization

Strong understanding of ITIL principles, including :

- Incident Management

- Problem Management

- Change Management

- Experience integrating with APIs and ITSM tools such as ServiceNow

Proficiency in Python, including :

- FastAPI

- OOP concepts

- Async programming

- REST APIs

- Experience with API authentication mechanisms such as OAuth2 and JWT

- Hands-on experience with cloud platforms such as AWS or Azure

Nice to Have :

- Experience building AI-powered dashboards using Streamlit

- Exposure to observability, monitoring, or AIOps platforms

- Experience working in enterprise IT operations environments

Qualifications :

- Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field

- Strong analytical and problem-solving skills

Soft Skills & Competencies :

- Ability to identify high-value AI use cases and drive business impact

- Strong collaboration skills to work with IT, operations, and business stakeholders

- Excellent communication skills to explain complex AI concepts to non-technical audiences

- Strong ownership mindset with a focus on delivery and measurable outcomes

- Ability to manage multiple initiatives in a fast-paced environment