Are you an experienced AI professional ready to build production-ready Generative AI applications, intelligent agents, and enterprise AI solutions? Capco is hiring AI Engineers / Gen AI Developers for Bangalore and Pune, with 5โ9 years of experience required and immediate joiners preferred.
๐ Job Overview
- ๐ข Company: Capco
- ๐ผ Job Role: AI Engineer / Gen AI Developer
- ๐ Locations: Bangalore / Pune
- ๐ฏ Experience Required: 5โ9 years
- โณ Joining Preference: Immediate joiners
- ๐ง Core Technologies: Python, Generative AI, LLMs, RAG, Agentic AI
- ๐ง AI Frameworks: LangChain, LangGraph, LlamaIndex, Haystack, Semantic Kernel
- ๐๏ธ Data Technologies: Embeddings, vector databases, SQL and NoSQL
- โ๏ธ Cloud Platforms: AWS, Microsoft Azure, or Google Cloud
- โ๏ธ Deployment: FastAPI, REST APIs, Docker, CI/CD, LLMOps/MLOps
- ๐ฉ Recruiter Email: Sabrish.a@capco.com
๐ ๏ธ Key Responsibilities
- ๐ Python Engineering: Build maintainable, scalable applications using advanced Python, asynchronous programming, OOP, FastAPI, or Flask.
- ๐ง LLM Application Development: Design and customize applications powered by foundation models and, where applicable, multimodal models.
- ๐ RAG Implementation: Develop document ingestion, chunking, embedding, retrieval, and context-grounding workflows.
- ๐ค Agentic AI Development: Build intelligent agents and multi-agent systems that can plan tasks, use tools, and interact with external services.
- ๐ MCP Integration: Implement Model Context Protocol solutions to connect AI applications with external tools and data sources.
- ๐๏ธ Database Engineering: Design and optimize SQL and NoSQL data stores used by AI applications.
- โ๏ธ Cloud Deployment: Deploy and manage AI workloads on AWS, Azure, or GCP.
- โ๏ธ LLMOps and MLOps: Support CI/CD, monitoring, evaluation, performance optimization, and lifecycle management.
๐ Why Is This Role Good for Experienced Professionals?
- ๐ Production-Ready GenAI: Focus on deployable applications rather than only proofs of concept.
- ๐ง Advanced AI Architecture: Develop expertise in RAG, agentic workflows, and foundation-model integration.
- ๐๏ธ End-to-End Ownership: Work across backend services, data pipelines, model integration, deployment, and monitoring.
- ๐ Modern AI Ecosystem: Explore LangGraph, Semantic Kernel, AutoGen, CrewAI, and MCP where relevant to project needs.
- โ๏ธ Enterprise Cloud Experience: Build skills in scalable deployment, security, observability, and operational reliability.
๐ง Skills Required
- ๐ Advanced Python: OOP, async programming, API development, Pandas, NumPy, and clean coding practices.
- ๐ค GenAI Frameworks: LangChain, LangGraph, LlamaIndex, Haystack, or Semantic Kernel.
- ๐ RAG and Embeddings: Chunking strategies, semantic search, retrieval quality, reranking, and vector database integration.
- ๐งฉ Agentic AI and MCP: Tool calling, multi-agent orchestration, external integrations, and context management.
- ๐๏ธ Database Knowledge: PostgreSQL, MySQL, MongoDB, Cassandra, and ideally Snowflake Cortex.
- โ๏ธ Cloud and DevOps: AWS, Azure, or GCP; Docker, CI/CD, monitoring, and deployment practices.
๐ค Expected Interview Rounds at Capco
- ๐ Round 1 โ Recruiter Screening: Experience, immediate joining availability, preferred location, and relevant AI projects.
- ๐ป Round 2 โ Python Technical Interview: Coding, asynchronous programming, API development, data structures, and application design.
- ๐ง Round 3 โ GenAI and RAG Discussion: Embeddings, chunking, retrieval strategies, vector databases, prompt engineering, and LLM evaluation.
- ๐ค Round 4 โ Agentic AI System Design: Multi-agent workflows, tool calling, MCP integrations, failure handling, and scalable architecture.
- โ๏ธ Round 5 โ Cloud and Managerial Discussion: Deployment, monitoring, security, stakeholder communication, and production challenges. These are suggested preparation areas, not confirmed Capco interview rounds.
๐ฐ Expected Salary Range
The vacancy does not specify compensation. As a broad, non-company-specific planning estimate, experienced GenAI professionals with 5โ9 years of relevant experience in Bangalore or Pune might consider โน18โ35 LPA, depending on their specialization, interview performance, and current compensation. This is not a verified Capco salary band; confirm the approved budget with the recruiter.
๐ Preparation Tips for This Specific Role
- ๐งช Build a complete RAG project: Demonstrate ingestion, chunking, embeddings, retrieval, grounded responses, and evaluation.
- ๐ค Practise agent workflows: Explain tool selection, state management, retries, guardrails, and human approval for sensitive actions.
- ๐ Explore MCP: Understand how an AI application discovers and invokes tools through an MCP server.
- โ๏ธ Prepare production scenarios: Discuss latency, token costs, observability, access controls, and deployment failures.
- ๐๏ธ Revise SQL and Python APIs: Be ready to design a FastAPI endpoint that retrieves data and calls an LLM.
๐ Resume Tips
- ๐ฏ Highlight production experience: Separate deployed AI solutions from prototypes and academic experiments.
- ๐ Quantify outcomes: Include verified improvements in retrieval quality, latency, cost, or processing time.
- ๐ง Show architecture ownership: Describe your contribution to RAG pipelines, agent orchestration, and model integration.
- โ๏ธ Mention deployment skills: Highlight cloud services, Docker, CI/CD, monitoring, and LLMOps experience.
๐ฉ How to Apply
๐ฉEmail: Sabrish.a@capco.com
Interested candidates can contact the recruiter using the details supplied in the hiring announcement.
๐ง Email: Sabrish.a@capco.com
๐ Suggested Subject: Application for Gen AI Developer โ 5โ9 Years โ Immediate Joiner
Mention your experience, current location, notice period, joining availability, and strongest matching GenAI technologies. Immediate joiners should clearly state their availability.
๐ Final Thoughts
This Capco opportunity is well suited to experienced engineers who can combine strong Python development with practical GenAI architecture and production deployment. Showcase real RAG or agentic AI projects, demonstrate measurable results, and highlight immediate joining availability. ๐
