Role: AI Engineer

Location: Bangalore, Hyderabad

Experience: 5+ years

Notice period: Immediate to 15 days

Responsibilities

- Design and build AI agents (single-agent and multi-agent systems) tailored to client use cases
- Architect agent workflows involving tool use, function calling, memory, and orchestration
- Integrate agents with client systems, APIs, databases, and third-party tools (CRMs, internal tools, MCP servers, etc.)
- Select and fine-tune appropriate LLMs/foundation models based on client needs and cost/performance tradeoffs
- Build robust evaluation frameworks to test agent reliability, accuracy, and safety before deployment
- Implement guardrails, prompt engineering best practices, and error-handling for production stability
- Collaborate directly with clients to gather requirements, demo progress, and incorporate feedback
- Own deployment, monitoring, and iteration of agents post-launch
- Document architecture, prompts, and workflows for handoff and maintainability

Required Qualifications
- 5+ years of software engineering experience, with 1–2+ years specifically building LLM-powered applications or AI agents
- Robust Python skills; experience with frameworks like LangChain, LlamaIndex, LangGraph, CrewAI, or building custom agent orchestration




- Hands-on experience with LLM APIs (Anthropic Claude, OpenAI, or similar) — function/tool calling, structured outputs, streaming
- Solid understanding of RAG (retrieval-augmented generation) architectures and vector databases (Pinecone, Weaviate, Chroma, etc.)
- Experience integrating agents with external APIs, databases, and enterprise tools
- Familiarity with prompt engineering, context management, and evaluation/testing methodologies for LLM systems
- Experience deploying and monitoring AI systems in production (logging, observability, cost tracking)
- Strong communication skills — comfortable working directly with clients, not just internal teams
- Solid grasp of software engineering fundamentals: version control, testing, CI/CD, code review

Nice to Have
- Experience with MCP (Model Context Protocol) servers/tools
- Background in specific verticals (fintech, healthcare, e-commerce, etc.) relevant to client work
- Experience with agent memory systems, multi-agent coordination, or workflow automation platforms (n8n, Zapier, etc.)
- Familiarity with fine-tuning or evaluating open-source models
- Prior freelance/contract/consulting experience delivering client projects independently

📌 AI Engineer (Bangalore Metropolitan Area)
🏢 Teamware Solutions
📍 Bangalore Metropolitan Area