AL/ML Engineer

Sidglobal; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Competitive compensation and benefits

Opportunity to work on cutting-edge AI projects

Continuous learning and professional development

Collaborative and innovation-driven culture

Job summary

Sidglobal in Hyderabad is looking for an AI Specialist with over 6 years of experience in Artificial Intelligence and Machine Learning. The role involves designing and optimizing agentic AI systems, integrating AI solutions into existing platforms, and ensuring the performance of AI deployments. Ideal candidates should have proficiency in Python and experience with cloud platforms (AWS, Azure, GCP). The position offers competitive compensation alongside ongoing learning and development opportunities.

Qualifications

• 6+ years of hands-on experience in Artificial Intelligence or Machine Learning.
• Proficiency in Python development and FastAPI/Flask framework.
• Strong problem-solving and analytical skills.

Responsibilities

• Design and optimize agentic AI systems.
• Integration of AI solutions with company platforms.
• Monitor and refine agent behaviors.

Skills

Artificial Intelligence

Machine Learning

Python Development

DevOps

FastAPI/Flask

SQL

Agentic AI Frameworks

Prompt Engineering

Tools

AWS

Azure

GCP

Docker

Kubernetes

Job description

Somajiguda, India | Posted on 04/29/2026

Key Responsibilities

• Design and Development:BuildandoptimizeagenticAI systems (e.g., autonomous agents, multi-agent frameworks, LLM-poweredagents, MCP, RAG, Agent Skills, Context Engineering, Agent Memory)
  
• Integrate agentic AIsolutions with existing enterprise platforms and workflows.
  
• Work closely withproduct, data, and engineering teams to translate business requirementsinto AI solutions
  
• Monitoragentbehaviors, diagnose anomalies, and refineagentinstructionsas needed
  
• Deploying agentic AI agents inproduction environments, ensuring reliability and performance
  
• Developed feedback loopsfor continuous agent improvement
  
• Conduct code reviews andmentor junior engineers
  
• Contribute to AIarchitecture, technical standards, and roadmap planning
  

Required Skills & Qualifications

• 6+years ofhands-on experience in Artificial Intelligence, Machine Learning, orrelated field.
  
• Knowledge of developingGen AI or AI/ML solutions from use case to production and an understandingof agentic or autonomous systems.
  
• Understanding ofInfrastructure and DevOps related to Gen AI Use case deployments includingCloud environments,AgentHosting, CICD deployments, docker andKubernetes.
  
• ProficiencyinPythondevelopmentand FastAPI/Flaskframework along with SQL
  
• Expertisewithagentic AI frameworks and concepts- LangChain, LangGraph, ADK,AutoGen, ModelContext Protocol (MCP), LLMs, Chain of Thought prompting, knowledge store,embeddings
  
• Experiencewith RAGtechniques for knowledge base retrievalsfrom vector DB.
  
• Prompt engineeringtechniques and fine-tuning
  
• Hands-on experiencewithmodel deployment(REST APIs, microservices, orcloud-based inference)
  
• Hands-on experience withbuilding user experiences to support agent-based solutions.
  
• Experience withcloudplatforms(AWS, Azure, or GCP) and AI services
  
• Strong problem-solvingand analytical skills
  
• Excellent communicationand cross-functional collaboration abilities
  

Preferred / Nice-to-Have Skills

• Understanding of:
  
• Machine Learningalgorithms
  
• Natural LanguageProcessing (NLP) and/or Computer Vision
  
• Experience withdataprocessing and analysisusing NumPy, Pandas, and SQL
  
• FamiliaritywithMLOpspractices (model versioning, monitoring, CI/CD)
  
• Experience withGenerativeAIand LLMs (OpenAI, Hugging Face,LangChain, RAGpipelines)
  
• Experience with big datatools (Spark, Kafka)
  
• Familiarity with ethicalAI, bias mitigation, and model governance
  
• Prior experience leadingAI initiatives or mentoring teams
  

What We Offer

• Competitive compensationand benefits
  
• Opportunity to workoncutting-edgeAI and GenAI projects
  
• Continuous learning andprofessional development
  
• Collaborative andinnovation-driven culture