AI/ML Engineer – Agentic AI (contract)
Experience: 6–8 Years
Location: Hyderabad – Hybrid (5 Days Working) / Remote
Work Timings: 11:00 AM – 9:00 PM
Job Summary
We are seeking an experienced AI/ML Engineer specializing in Agentic AI to design, develop, deploy, and support enterprise-grade autonomous AI systems powered by Large Language Models (LLMs).
The ideal candidate will have strong hands-on experience with Python, Agentic AI frameworks, LLMs, RAG, cloud platforms, Docker/Kubernetes, and production AI deployments.
Key Responsibilities
- Design, develop, and deploy autonomous AI agents for enterprise use cases.
- Build multi-step reasoning, planning, task orchestration, and workflow automation.
- Develop scalable AI applications using Python and modern Agentic AI frameworks.
- Build RAG pipelines using vector databases and embedding models.
- Integrate AI agents with enterprise applications, APIs, databases, CRM/ERP systems, and SaaS platforms.
- Design short-term and long-term memory architectures for conversational agents.
- Implement planning, feedback loops, self-correction, guardrails, and failure-recovery mechanisms.
- Develop secure tool-calling capabilities with validation, retries, timeouts, and access controls.
- Deploy AI applications using Docker, Kubernetes, and cloud-native services.
- Monitor production AI systems using logging, tracing, prompt management, and observability tools.
- Build evaluation frameworks to measure task success, latency, cost, safety, and hallucination rates.
- Implement Responsible AI practices, data privacy, explainability, and human-in-the-loop workflows.
- Collaborate with cross-functional teams to deliver scalable enterprise AI solutions.
Required SkillsProgramming & System Design
- Expert-level Python programming.
- Asynchronous programming, concurrency, and task scheduling.
- Scalable backend services and REST APIs.
Agentic AI
- Autonomous AI agents.
- Multi-step reasoning and planning.
- Goal decomposition and workflow orchestration.
- ReAct and Plan-and-Execute patterns.
- Multi-agent and hierarchical agent architectures.
- Tool calling and function execution.
- Stateful and stateless agent design.
- Feedback loops and failure recovery.
LLMs
- OpenAI
- Azure OpenAI
- Anthropic
- Open-source LLMs
- Prompt engineering
- Few-shot and zero-shot prompting
- Model selection based on latency, context window, and cost
- LoRA/model fine-tuning is an advantage
Agent Frameworks
- LangChain
- LangGraph
- Semantic Kernel
- AutoGen
- CrewAI
- Custom AI orchestration frameworks
RAG
- FAISS
- Pinecone
- Azure AI Search
- Embedding models
- Chunking strategies
- Context compression
- Knowledge Graph integration is preferred
MLOps / AgentOps
- Production AI deployment
- Prompt and model versioning
- Agent tracing and observability
- Logging and monitoring
- CI/CD
- Docker
- Kubernetes
- Azure/AWS serverless deployments
Security & Responsible AI
- Prompt injection prevention
- Jailbreak mitigation
- Secure tool execution
- Identity and privilege management
- Data privacy
- Responsible AI
- Explainable AI
- Human-in-the-loop workflows
Cloud
- Microsoft Azure – Preferred
- AWS
- Google Cloud Platform (GCP)
- Managed AI services
- IAM
- Secrets management
- Cloud cost optimization
Nice to Have
- Multi-agent collaboration systems
- Enterprise Copilot development
- AI Supervisor architectures
- Human-AI collaboration workflows
- Reinforcement Learning
- Autonomous workflow automation
- Knowledge Graph implementations
Required Experience
- 6–8 years of Software Engineering or AI/ML development experience.
- Strong hands-on experience building production AI applications.
- Experience developing enterprise-grade Agentic AI solutions.
- Proven expertise with LLMs, RAG pipelines, and AI orchestration frameworks.
- Experience deploying scalable AI solutions on Azure, AWS, or GCP.
Preferred Qualifications
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- Experience working in Agile/Scrum environments.
- Strong problem-solving and communication skills.
How to Apply
Interested candidates should send their updated resume to:
Email: [email protected]
Please provide the following details:
- Total Experience:
- Relevant AI/ML Experience:
- Current Location:
- Current CTC:
- Expected CTC/Rate:
- Notice Period:
- Availability for Interview:
Pay: ₹413,643.11 - ₹1,706,294.96 per year
Work Location: Hybrid remote in Gopanpalli, Telangana 500046
