Senior Agentic AI Developer
Computer Aid, Inc.20 hours ago
Bengaluru, IndiaSenior
Responsibilities
- Design, develop, and deploy multi-agent systems and agentic applications using frameworks such as AutoGen, LangGraph, and CrewAI.
- Build workflow orchestration systems and autonomous, self-healing workflows for decision-making and business-process optimization.
- Implement Agent-to-Agent communication, Model Context Protocol, OpenAPI integrations, and tool-use capabilities.
- Design and integrate RAG workflows, vector databases, knowledge graphs, and information-retrieval architectures.
- Build, fine-tune, deploy, and optimize generative AI, LLM, and ML solutions in production environments.
- Define best practices for building, testing, monitoring, and deploying scalable AI systems.
- Deploy LLMs, agents, and orchestration systems on AWS and on-premises infrastructure.
- Collaborate with internal teams to integrate agent-based systems and automation frameworks into applications.
- Stay current with developments in agentic AI, autonomous systems, language models, and generative AI.
Requirements
- 3–6 years of overall technical experience, including at least 2 years of hands-on experience with generative AI and LLM technologies.
- At least 1 year of experience building agentic systems, workflow automation, or autonomous AI applications.
- Hands-on experience with agentic frameworks such as AutoGen, LangGraph, CrewAI, or similar, and LLM orchestration frameworks including LangChain and LlamaIndex.
- Expertise in workflow orchestration, OpenAPI, A2A protocols, MCP, multi-agent architectures, memory, planning, and tool use.
- Experience with agent evaluation, testing, observability, production LLM inference, RAG, fine-tuning, and prompt engineering.
- Experience with Amazon Bedrock, SageMaker JumpStart, and other cloud-based LLM platforms.
- Knowledge of vector databases, knowledge graphs, NLP, deep learning, ML frameworks, MLOps/LLMOps, data pipelines, model serving, drift management, and validation.
- Proficiency in Python and familiarity with JavaScript, TypeScript, or Node.js.
- Experience with Docker, Kubernetes, CI/CD pipelines, and monitoring, logging, and observability tools for production AI systems.
- Preferred qualifications include reinforcement learning, agent training, semantic reasoning, planning algorithms, graph databases, ontology design, open-source AI/ML contributions, and AI/ML publications or patents.
- Strong understanding of data structures, algorithms, and system design patterns.
Benefits
- Full-time employment.
- Hybrid work arrangement in Bengaluru.
- Reasonable accommodations are available throughout the application, interview, testing, and selection process.
Tech Stack
Apache AirflowAWSDockerHugging Face TransformersJavaScriptKubernetesNeo4jNode.jsPythonPyTorchReactscikit-learnTensorFlowTypeScript
Categories
About Computer Aid, Inc.
Computer Aid, Inc. (CAI) provides IT consulting, managed services, and talent solutions for public agencies and enterprises, spanning digital services, enterprise service management, data and AI, and contingent staffing. The privately held company, founded in 1981 and headquartered in Allentown, Pennsylvania, also runs its Neurodiverse Solutions program to support neurodivergent talent. CAI delivers project delivery, application support, and service desk operations across government and commercial markets.