Somajiguda, India | Posted on 04/29/2026
We are seeking a talented Agentic AI Engineer to design,develop, and deploy advanced AI agents capable of autonomous reasoning,decision-making, and self-directed task execution. This rolerequiresexpertisein modern AI architecture, reinforcement learning,multi-agentsolution frameworks, and the deployment of agentic AIsolutions. You will collaborate with cross-functional teams to createintelligent systems that drive business value and innovation.
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