Senior AI Engineer (Generative AI & Agentic Systems)

WonderBotz; India; On-site; INR 3,500,000 - 6,500,000; Full time

Job summary

WonderBotz is seeking a senior Developer to design, build, and deploy production‑grade Generative AI and Agentic AI solutions that automate complex business processes and augment enterprise workflows.

You will drive full delivery lifecycle, mentor juniors, and collaborate with automation, data, and platform teams to deliver scalable, secure AI applications in cloud environments.

Qualifications

• Bachelor's degree in CS/IT/engineering or equivalent experience.
• 5-8 years of software development with 2+ years in GenAI/Agentic AI production.
• Hands-on with LangChain, LangGraph and LLM APIs.
• Strong knowledge of RAG architectures and vector databases.
• Proficient in Python; familiarity with C#, JavaScript, SQL.
• Cloud experience (AWS Lambda, Azure) and REST integrations.

Responsibilities

• Design and build LLM-powered applications including RAG pipelines and autonomous agents.
• Ground LLM responses with enterprise data using vector stores and semantic search.
• Apply prompt engineering to improve accuracy and cost efficiency across models.
• Serve as technical liaison for clients on AI solution design and timelines.
• Integrate GenAI with enterprise systems via REST/webhooks in cloud environments.
• Modernize RPA assets by adding AI-driven decisions and self-healing capabilities.
• Coordinate design docs, evaluation reports, and deployment runbooks.
• Establish CI/CD and monitoring for AI apps using GitHub Actions, Jenkins, and Splunk.
• Identify risks in model performance, data quality, and security; mitigate blockers.

Skills

Bachelor's degree in Computer Science

5-8 years of software development

GenAI/Agentic AI production experience

LangChain

LangGraph

LLM application frameworks

LLM APIs (OpenAI)

Prompt engineering

RAG architectures

Vector databases (ChromaDB)

Python

C#, JavaScript, SQL (basic)

Cloud platforms (AWS Lambda, Azure)

REST APIs

DevOps (Git/GitHub, Jenkins)

Monitoring (Splunk)

RPA/automation awareness

Education

Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent

Tools

LangChain

LangGraph

ChromaDB

OpenAI API

AWS Lambda

Azure

REST API

GitHub Actions

Jenkins

Splunk

Blue Prism

UiPath

Job description

Developer Role and Responsibilities

In this role, you will design, build, and deploy production-grade Generative AI and Agentic AI solutions that automate complex business processes and augment enterprise workflows. You will work across the full delivery lifecycle, from solution design and prompt/agent architecture through development, evaluation, and deployment, partnering closely with automation, data, and platform teams. Responsibilities will include hands‑on development of LLM-powered applications, technical solutioning with stakeholders, and mentoring of junior developers on GenAI best practices. You will work closely with our team of award‑winning business and technical specialists and leaders.

Key Responsibilities

• Design and develop LLM-powered applications, including RAG (Retrieval-Augmented Generation) pipelines, agentic workflows, and multi-step autonomous agents using frameworks such as LangChain and LangGraph
• Build and optimize retrieval architectures using vector databases (e.g., ChromaDB) and semantic search to ground LLM responses in enterprise data
• Apply prompt engineering techniques to improve accuracy, reliability, and cost‑efficiency of LLM-based solutions across both hosted (OpenAI API, Claude Code, Claude) and offline/self-hosted models
• Serve as a technical point of contact for clients and internal stakeholders on AI solution design, feasibility, and delivery timelines
• Integrate GenAI solutions with existing enterprise systems via REST APIs, webhooks, and cloud services (AWS Lambda, Azure) to ensure secure, scalable deployment
• Extend or modernize existing RPA/automation assets (e.g., Blue Prism, code‑based automation frameworks) by incorporating AI‑driven decisioning and self‑healing capabilities
• Coordinate the development, review, and documentation of AI solution deliverables (solution design documents, evaluation reports, deployment runbooks)
• Establish CI/CD and monitoring practices for AI applications using tools such as Git, GitHub Actions, Jenkins, and Splunk
• Identify risks related to model performance, data quality, and security; mitigate roadblocks during development, testing, or deployment

Qualifications And Skills

• Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent education and experience
• Minimum 5-8 years of software development experience, including at least 2 years building Generative AI or Agentic AI applications in production
• Hands‑on experience with LLM application frameworks (LangChain, LangGraph) and LLM APIs (OpenAI API or equivalent)
• Strong understanding of RAG architectures, prompt engineering, and vector databases (e.g., ChromaDB or similar)
• Proficiency in Python; working knowledge of C#, JavaScript, and SQL
• Experience with cloud platforms and services (AWS Lambda, Amazon DynamoDB, Azure) and REST API integration
• Experience with DevOps tooling (Git/GitHub, GitHub Actions, Jenkins) and application monitoring (e.g., Splunk)
• Background in RPA or process automation (e.g., Blue Prism, UiPath, or Automation Anywhere) is a strong plus
• Understanding of IT delivery methodologies (Agile, Lean, ITIL)
• Excellent planning, problem‑solving, and technical leadership skills

Desired characteristics in candidates

• Self‑motivated and able to take initiative with minimal supervision. Senior AI Developer (Generative AI & Agentic Systems)
• Effective communicator, able to translate technical AI concepts for non‑technical stakeholders
• Highly organized and methodical, while comfortable adapting to changing requirements
• Strong analytical and problem‑solving skills, with a bias toward experimentation and iteration
• High emotional intelligence and cross‑functional collaboration skills
• Demonstrated willingness to dive into implementation details to guide projects to completion
• Team‑oriented, with an interest in mentoring and knowledge‑sharing
• Curious and committed to staying current with the fast‑evolving GenAI/Agentic AI landscape

Compensation And Start Dates

• Hiring now for immediate start
• Salary: Competitive base and bonus determined by level and experience

WonderBotz is an Equal Employment Opportunity employer.