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AIML Python Engineer | 7-12 Years || Hyderabad (Hybrid) || Quick Joiner ||

Actively Reviewing the Applications

Accedepro Private Limited

India, Telangana, Hyderabad Part-Time On-site
Posted 2 weeks ago • Apply by June 10, 2026

Job Description

AIML Python Engineer || 7-12 Years || Hyderabad (Hybrid) || Quick Joiner ||


Salary Offering: INR 33,00,000 Per Annum Max (Gross)


We are looking for a highly skilled AI/ML Python Engineer to design and deliver enterprise-grade GenAI solutions on Azure AI, Google Vertex AI, or similar cloud platforms. This role requires deep hands-on expertise in LLMs, agentic systems, RAG architectures, and scalable Python microservices.


Key Responsibilities

Architect and deploy end-to-end AI solutions (LLMs, RAG, agentic workflows, MCP-based systems).

Build scalable Python applications, REST APIs, and AI-powered microservices.

Design multi-agent orchestration flows (Planner/Worker/Critic models) with checkpointed, resumable execution.

Develop enterprise RAG systems (ingestion → embedding → retrieval → grounded synthesis).

Implement guardrails, evaluation frameworks, observability, and cost optimization strategies.

Lead code reviews, enforce engineering best practices (CI/CD, MLOps, testing, monitoring).

Collaborate with product and business teams to translate requirements into scalable AI architectures.


Must-Have Skills

Strong expertise in Python, FastAPI/Flask/Django, RESTful APIs, Docker & Kubernetes.

Hands-on experience with LLMs (Azure OpenAI, Anthropic, Llama/Qwen, etc.).

Experience in Prompt Engineering, Context Engineering, and Structured Outputs (JSON/schema).

Built agentic systems using LangGraph, LangChain, Temporal, ADK, or similar.

Delivered production-grade RAG pipelines with hybrid search & enterprise data sources.

Implemented guardrails (prompt injection defense, role-based tool access, PII-safe logging).

Strong knowledge of CI/CD, DevOps, MLOps, model evaluation & telemetry monitoring.


Ideal Candidate

✔ Strong understanding of transformer architecture & LLM behavior

✔ Experience tuning decoding parameters & optimizing inference cost/latency

✔ Built at least one production AI system with monitoring & governance

✔ Excellent communication & stakeholder management skills


Apply Here:


IMP Notice:

Qualified applicants would be contacted for more detailing and procedures.

Over / Less experienced profiles will not be considered this time.


Required Skills

Communication Engineering Monitoring Django Flask FastAPI Python Cloud Platforms Stakeholder Management Docker Kubernetes MLOps LESS Azure LangChain JSON DevOps CI/CD Testing REST APIs Anthropic RAG Governance Cost optimization ADK Synthesis Orchestration RESTful APIs Injection Llama Defense Schema Guardrails Model Evaluation Data sources Azure OpenAI Ingestion MCP Profiles Logging Embedding OpenAI Transformer Vertex Temporal Telemetry Enterprise Data Python microservices Transformer architecture Inference GenAI Prompt engineering Retrieval LLMs RAG systems Observability Planner AI/ML SAFe LLM Vertex AI Langgraph
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