Job Description
Job Description
AI Platform Engineer
Location: Pune | Hybrid
Experience: 6 to 10 Years
Primary Skill: Python | Secondary: .Net, TypeScript
Our Objective
We are building an AI-first engineering organization. This means embedding AI across every stage of how we design, build, test, and ship software not as a feature add-on, but as a fundamental shift in how engineering works.
You will join our central AI Centre of Excellence (CoE) and translate the AI-first vision into production-ready integrations, internal tools, and agentic workflows across our SDLC.
Key Responsibilities
Workflow Auditing & AI Opportunity Mapping
- Audit existing SDLC workflowsplanning, development, code review, testing, and deploymentto identify high-ROI AI integration opportunities
- Produce prioritised findings and recommendations for the AI CoE and engineering leadership
- Build a repeatable AI audit framework applicable across engineering teams
Hands-on AI Utility Development
- Design and develop internal tools, scripts, and LLM-powered integrations using Python
- Containerize and deploy workloads using Docker to support long-running workflows and agentic orchestrations
- Maintain a shared internal library of reusable AI components
Agentic AI Development
- Build and deploy autonomous and multi-agent AI workflows using frameworks such as LangGraph, LangChain, AutoGen, or similar
- Apply spec-driven development by defining task specifications and validating AI outputs systematically
- Integrate agentic workflows into CI/CD pipelines (GitHub, Azure DevOps, GitLab)
LLMOps & AgentOps
- Manage the operational lifecycle of LLM integrations including prompt versioning, output monitoring, cost tracking, and model updates
- Ensure agent observability by tracing sessions, monitoring tool usage, and documenting runbooks
- Define and enforce AI quality checkpoints within CI/CD pipelines
AI Evaluations & Guardrails
- Design and implement guardrails for AI-generated outputs in collaboration with the CoE team
- Run AI evaluations to measure quality, reliability, and safety
- Act as the engineering authority on hallucination detection, edge cases, and AI quality standards
AI-First Engineering Practice
- Adopt AI coding assistants such as GitHub Copilot and Cursor as daily productivity tools
- Conduct lightweight enablement sessions to upskill engineering teams
- Demonstrate high-performance AI-augmented engineering practices
Required Qualifications
- 68 years of hands-on software development experience (mindset and learning velocity prioritized)
- Strong SDLC fundamentals with experience applying AI across the development lifecycle
- Proficiency in Python; familiarity with .Net or TypeScript is a plus
- Hands-on experience with LLM APIs (OpenAI, Azure OpenAI, Anthropic, or equivalent)
- Practical prompt engineering experience including structured outputs and prompt versioning
- Exposure to agentic AI frameworks such as LangGraph, LangChain, AutoGen, or CrewAI
- Familiarity with LLMOps and AgentOps practices
- Practical knowledge of AI evaluations and guardrail design
- DevOps awareness including CI/CD, Docker, and enterprise Git workflows
- Hands-on use of AI coding assistants like GitHub Copilot or Cursor
Good to Have
- Experience building internal AI-powered developer tools
- Exposure to AI observability platforms such as LangSmith, AgentOps, Arize, Helicone, or Braintrust
- Prior experience in AI CoE, platform engineering, or internal developer tooling
- Exposure to Azure AI Foundry, Azure AI Search, or Azure Document Intelligence
Technology Stack
Toolchain: GitHub Azure DevOps GitLab GitHub Copilot Cursor
Cloud: Any CSP (Azure preferred)
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: IT & Information Security
Role Category: IT & Information Security - Other
Role: IT & Information Security - Other
Employement Type: Full time
Contact Details:
Company: Sonata Software
Location(s): Pune
Keyskills:
TypeScript
AI Automation
.NET
Python
Artificial Intelligence
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