We are looking for a highly motivated and hands-on AI Engineer with strong application development experience and expertise in Generative AI and Agentic AI. The ideal candidate should be capable of designing, developing, and deploying enterprise-grade AI solutions that leverage Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and modern cloud-native architectures.

The candidate should have a solid understanding of how AI agents work, common design patterns, orchestration approaches, security and governance considerations, and the challenges associated with deploying AI solutions in production environments.

Key Responsibilities

- Design, develop, and deploy enterprise AI applications and services.
- Build and implement Generative AI solutions using LLMs, RAG, embeddings, and vector databases.
- Develop and orchestrate AI agents and multi-agent workflows for business process automation.
- Integrate AI solutions with enterprise applications, APIs, data platforms, and business systems.
- Design AI solutions with appropriate guardrails, governance, security, and human-in-the-loop controls.
- Evaluate and improve model performance, prompt effectiveness, and user experience.
- Implement monitoring, observability, testing, and evaluation frameworks for AI applications.
- Collaborate with product owners, architects, and engineering teams to translate business requirements into scalable AI solutions.
- Contribute to reusable AI frameworks, accelerators, and platform capabilities.
- Stay current with emerging trends in Generative AI, Agentic AI, and enterprise AI technologies.

Required Skills & Qualifications

Experience

- 5-8 years of overall software engineering experience.
- Minimum 2+ years of hands-on experience with Generative AI solutions.
- Experience building and supporting production-grade applications.

Application Development

- Solid proficiency in Python.
- Hands-on experience with FastAPI, Flask, or similar backend frameworks.
- Experience developing REST APIs and microservices.




- Familiarity with cloud-native development and deployment practices.
- Good understanding of Git, CI/CD pipelines, testing, and software engineering best practices.

Generative AI & Agentic AI

Strong understanding of

- Large Language Models (LLMs)
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- Embeddings and Vector Databases
- AI Evaluation Techniques
- Agentic AI Concepts and Design Patterns
- Multi-Agent Systems and Agent Orchestration
- Tool Calling and Function Calling

Hands-on experience with one or more of the following is preferred:
- LangChain
- LangGraph
- Semantic Kernel
- Microsoft AI Foundry / Azure AI Foundry
- AutoGen or equivalent agent frameworks

Cloud & AI Platforms Experience working with one or more cloud platforms:

- Microsoft Azure
- AWS
- Google Cloud Platform (GCP)

Experience with:
- Azure OpenAI or equivalent LLM services
- Azure AI Search or similar search platforms
- Vector Databases and semantic retrieval solutions

Agent Governance & Reliability

Good understanding of

- Agent memory and context management
- Hallucination mitigation approaches
- Security and access controls
- Human-in-the-loop workflows
- Prompt injection and AI security risks
- Agent monitoring and observability
- Responsible AI principles
- Cost optimisation and governance

Good to Have

- Knowledge of Knowledge Graphs and Business Ontologies.
- Understanding of enterprise data platforms and data ecosystems.
- Experience with or understanding of graph databases.
- Experience building AI copilots, enterprise assistants, or conversational AI solutions.
- Exposure to React or other modern front-end development frameworks.

Desired Attributes

- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities.
- Ability to independently drive solutions from concept to production.
- Passion for emerging AI technologies and continuous learning.
- Pragmatic mindset with a strong focus on business outcomes.
- Ability to balance innovation with engineering quality and operational excellence.

📌 Senior Engineer (India Office) (Bengaluru)
🏢 Wesco
📍 Bengaluru