Designs, develops, and deploys autonomous and multi-agent AI systems for business workflows. Builds agentic applications using LLMs, RAG, vector databases, tool calling, memory, and orchestration frameworks. Integrates agents with enterprise applications, APIs, databases, CRMs, and ERPs while developing backend services and APIs. Optimizes solutions for scalability, security, performance, and cost, and collaborates with product, engineering, and business teams to identify automation opportunities.
About the Role
We are looking for a passionate Agentic AI Developer to design, build, and deploy intelligent AI agents that can automate real-world business processes and day-to-day workflows. The ideal candidate will work at the intersection of Artificial Intelligence, Software Development, Automation, and Multi-Agent Systems, creating AI-powered solutions that can reason, plan, execute tasks, and integrate seamlessly with enterprise applications.
This role requires strong software engineering fundamentals along with hands-on experience in developing AI applications using modern LLMs, AI frameworks, and agent orchestration platforms.
- Design, develop, and deploy autonomous and semi-autonomous AI agents for business and consumer use cases.
- Build Agentic workflows involving planning, reasoning, memory management, and tool usage.
- Develop AI-powered applications using Large Language Models (LLMs) such as GPT, Claude, Gemini, Llama, etc.
- Integrate AI agents with enterprise systems, APIs, databases, CRMs, ERPs, and third-party platforms.
- Create multi-agent ecosystems capable of collaboration and task delegation.
- Build AI copilots, chatbots, automation assistants, and workflow orchestration solutions.
- Develop backend services and APIs to support agent-based applications.
- Implement Retrieval-Augmented Generation (RAG), vector databases, and knowledge management systems.
- Optimize AI applications for performance, scalability, security, and cost efficiency.
- Evaluate emerging AI technologies and recommend innovative solutions.
- Collaborate with product, engineering, and business teams to identify automation opportunities.
Requirements
Required Skills
AI & Agent Development
AI & Agent Development
- Experience with AI agent frameworks such as:
- LangGraph
- LangChain
- CrewAI
- AutoGen
- Semantic Kernel
- OpenAI Agents SDK
- LangGraph
- Strong understanding of:
- Agentic AI
- Multi-Agent Systems
- Prompt Engineering
- RAG Architectures
- Function Calling & Tool Usage
- AI Memory Management
- Agentic AI
- Strong programming skills in:
- Python (Mandatory)
- JavaScript / TypeScript
- Python (Mandatory)
- Experience with:
- REST APIs
- Microservices Architecture
- Backend Development
- Database Design
- REST APIs
- Experience working with:
- OpenAI
- Azure AI Services
- Anthropic Claude
- Google Gemini
- Open-Source LLMs
- OpenAI
- Vector Databases:
- Pinecone
- Weaviate
- Chroma
- Milvus
- Pinecone
- Databases:
- SQL
- PostgreSQL
- MongoDB
- SQL
- Azure / AWS / GCP
- Docker
- Git
- CI/CD Pipelines
- Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.
- Experience building enterprise-grade AI applications.
- Hands-on experience with workflow automation platforms.
- Understanding of AI governance, security, and responsible AI practices.
- Exposure to MLOps and AI deployment frameworks.
Similar Jobs
Financial Services
Develops and troubleshoots secure, scalable software within JPMorganChase’s Payments Technology team. Responsibilities include coding in Java, designing components across interconnected systems, analyzing data, applying SDLC and Agile practices, and using authorized AI-assisted development tools responsibly. The role requires experience with Agentic AI, AWS, Spring Boot, Kafka, enterprise application development, and software security. Preferred experience includes full-stack Java, Java 17+, microservices, AWS container deployments, Terraform, and relational databases.
Top Skills:
Agentic AiAgileAmazon Ec2Amazon EcsAmazon EksApache KafkaAWSCi/CdJavaMicroservicesOraclePostgresSpring BootTerraform
Financial Services
Lead development of agentic AI systems, LLM and NLP applications, MCP integrations, scalable data pipelines, and cloud-based client-facing solutions for financial services. Architect distributed systems with strong observability, security, regulatory compliance, and responsible AI controls. Govern AI-assisted software development practices, coach engineering teams, and establish standards for secure coding, testing, validation, and automation. Collaborate with product and business stakeholders to deliver reliable, scalable AI-driven technology.
Top Skills:
Agentic AiAgileAnthropic Claude CoworkAutogenAWSAzureCi/CdCloud ComputingCrewaiData PipelinesDevsecopsJavaLangchainLanggraphLarge Language Models (Llms)LlamaindexMicroservicesModel Context Protocol (Mcp)Natural Language Processing (Nlp)Openai FrontierPythonSdlcSemantic Kernel
Information Technology • Software
Design and build scalable Playwright and TypeScript UI/API automation frameworks, integrate testing into CI/CD, reduce flakiness, troubleshoot failures, and establish automation architecture and quality metrics. Apply Agentic AI, LLM evaluation, RAG testing, self-healing automation, and intelligent test analysis. Collaborate with engineering and product teams, contribute to test strategy and architecture reviews, mentor engineers, and develop reusable automation tools and AI-enabled quality engineering solutions.
Top Skills:
AWSAzureAzure DevopsBddChatgptClaudeDockerEmbeddingsGherkinGitGithub ActionsGithub CopilotGitlabJavaScriptJenkinsJIRAJmeterK6KubernetesLlmsMcpPlaywrightPostmanQtestRagRestSeleniumTypescriptVector Databases
What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
