AREA(S) OF RESPONSIBILITY
Dvelop, configure, and deploy AI agents using Aisera’s platform and
comparable agentic AI toolsets to solve real-world client workflows.
Build autonomous and multi-agent systems capable of planning, reasoning, tool
selection, and task execution.
Design and implement RAG pipelines, function/tool calling, memory and context
management, and agent orchestration.
Integrate agents with external systems — APIs, webhooks, databases, CRMs,
ITSM platforms, and data pipelines — for seamless workflow execution.
Apply prompt engineering and configuration tuning to optimize agent accuracy,
latency, and cost in complex enterprise settings.
Translate business requirements into functional and technical agent designs;
run interactive demos and PoCs and iterate on feedback.
Build scalable backend services/microservices for AI applications; ensure
testing, monitoring, and CI/CD best practices.
Implement AI governance, security, and compliance controls (auth flows,
responsible-AI safeguards, observability of agent behavior).
Troubleshoot, monitor,



and continuously improve deployed agents using
data-driven evaluation (A/B testing, performance monitoring).
8–12 years in software development, AI/ML engineering, or systems
integration, with recent hands-on Agentic AI / LLM delivery.
Hands-on experience with Aisera or comparable agentic AI / conversational
AIOps platforms (ServiceNow AI Agents, Automation Anywhere, similar).
Robust programming in Python (primary), plus Java and/or JavaScript; clean,
effective, production-quality code.
Proven experience building agents with LLM frameworks — LangChain, LangGraph,
CrewAI, AutoGen, or PydanticAI.
Solid understanding of LLMs, embeddings, vector databases, RAG, function
calling, and agent evaluation.
Experience with Model Context Protocol (MCP) and multi-agent architectures
(preferred).
Integration experience: REST APIs, webhooks, data pipelines; OAuth/OIDC/JWT
authorization flows.
C

📌 Technical Lead App Development Pune
🏢 Birlasoft
📍 Pune