Senior AI/ML Python Engineer

Job Title: Senior AI/ML Python Engineer

Experience: 6–14 Years

Location: Hyderabad (Madhapur)

Notice Period: Immediate / 15 Days

Role Overview

We are seeking a highly skilled Senior AI/ML Python Engineer to design, build, and scale enterprise-grade AI solutions. The ideal candidate will have deep expertise in LLMs, agentic systems, and cloud-based AI platforms, along with strong software engineering fundamentals.

Key Responsibilities

Design, develop, and deploy end-to-end AI solutions using Azure AI, Google Vertex AI, or similar cloud platforms.

Architect advanced AI systems, including LLM integrations, agentic workflows, MCP-based solutions, RAG pipelines, and scalable microservices.

Develop and maintain Python-based applications, RESTful APIs, and data processing pipelines.

Establish and enforce engineering best practices across CI/CD, testing, observability, and model evaluation.

Collaborate with product and business stakeholders to translate requirements into technical solutions and delivery roadmaps.

Provide technical leadership through code reviews, architectural guidance, and mentoring.

Ensure compliance with security, governance, and enterprise standards.

Communicate technical strategies, risks, and progress effectively to leadership and cross-functional teams.

Mandatory Skills

AI/ML, LLMs, Core AI

Azure Cloud Platform

MCP (Model Context Protocol)

RAG (Retrieval-Augmented Generation)

Docker & Kubernetes

Required Skills & Experience

LLM & Core AI

Strong understanding of transformer architectures (attention mechanisms, tokens, context windows).

Hands-on experience with multiple LLM providers (e.g., Azure OpenAI, Anthropic, Llama, Qwen).

Expertise in handling context limits and optimizing model outputs.

Prompt Engineering & Context Design

Experience designing structured, multi-layer prompts.

Ability to build context-aware systems with history selection and tool integration.

Experience with structured outputs (JSON/schema) and error handling.

Tools, MCP & Integrations

Experience designing LLM tool schemas with validation and safe execution.

Hands-on with MCP servers/tools including authentication and multi-tenant systems.

Integration experience with REST APIs, SQL systems, and sandboxed environments.

Agentic Systems & Orchestration

Experience building multi-step agent workflows (planning, execution, reasoning).

Familiarity with agent roles (Planner, Worker, Critic, Router, Supervisor).

Experience with frameworks like LangChain, LangGraph, Temporal, or similar.

Knowledge of Agent-to-Agent (A2A) collaboration patterns.

RAG & Knowledge Systems

End-to-end experience building RAG pipelines (ingestion to response synthesis).

Expertise in hybrid search (vector + keyword + filters).

Experience working with enterprise data sources (PDFs, SharePoint, SQL, etc.).

Reasoning, Evaluation & Guardrails

Implementation of reasoning frameworks like ReAct and self-critique loops.

Experience defining evaluation metrics and testing frameworks.

Knowledge of observability, telemetry, and cost tracking.

Strong understanding of AI safety, guardrails, and prompt injection defenses.

Model Performance & Optimization

Experience optimizing cost, latency, and performance of LLM systems.

Knowledge of caching, routing models, and parallel execution strategies.

Software Engineering & DevOps

Expert in Python, REST API development, and microservices architecture.

Experience with FastAPI, Flask, Django, and OpenAPI/Swagger.

Strong background in Docker and Kubernetes deployments.

Familiarity with data engineering, SQL/NoSQL databases, and event-driven systems.

Experience with CI/CD pipelines, MLOps, infrastructure-as-code, and monitoring tools.