Job Summary

To be responsible for managing technology in complex projects ,providing technical guidance and ensuring successful delivery of solutions.

Key Responsibilities

1. To be responsible for providing technical guidance to a team of developers, enhancing their technical capabilities and increasing productivity.
2. To conduct comprehensive code reviews, establish and oversee quality assurance processes, performance optimization , implementation of best practices and coding standards to ensure successful delivery of complex projects.
3. To ensure process compliance in the assigned module| and participate in technical discussions/review as a technical consultant for feasibility study (technical alternatives, best packages, supporting architecture best practices, technical risks, breakdown into components, estimations).
4. To collaborate with stakeholders to define project scope, objectives, deliverables and accordingly prepare and submit status reports for minimizing exposure & closure of escalations.

Skill Requirements

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Other Requirements

Key Responsibilities

1. Core Engineering & Platform Development

• Build and maintain the platform components that power agentic workflows, including orchestration engines, state managers, and tool‑use interfaces.
• Implement multi‑agent coordination patterns (planning, delegation, critique loops, memory persistence).
• Develop APIs, microservices, and backend systems that support high‑throughput agent execution.
• Integrate LLMs (open‑source and proprietary) with routing, fallback, and optimization strategies.

2. Agentic Workflow Implementation

• Translate business and product requirements into robust agentic workflows.
• Implement retrieval‑augmented generation (RAG) pipelines, embedding strategies, and context‑routing logic.
• Build tool adapters, connectors, and MCP‑style interfaces that allow agents to interact with enterprise systems.
• Optimize workflows for latency, reliability, and cost efficiency.

3. Data Engineering & Context Systems

• Collaborate with data teams to design ingestion pipelines, feature stores, and real‑time context feeds for agents.
• Implement vector search, metadata schemas, and retrieval logic to support agent reasoning.
• Ensure data quality, lineage, and observability across agentic workflows.

4. Reliability, Observability & Guardrails

• Build monitoring, logging, and tracing for agentic systems, including agent‑level telemetry.
• Implement safety guardrails, validation layers, and human‑in‑the‑loop checkpoints.
• Contribute to evaluation frameworks for agent performance, autonomy, and error analysis.

5. Collaboration & Technical Leadership

• Work closely with the Engineering Lead, Business Analyst, and Product Manager to shape roadmap and execution.
• Participate in design reviews, architecture discussions, and cross‑POD technical forums.
• Mentor junior engineers and contribute to engineering best practices.
• Drive experimentation, rapid prototyping, and continuous improvement within the POD.

Required Qualifications

Keywords : Software engineering, backend engineering, platform engineering, ML engineering, agentic frameworks, LangGraph, AutoGen, CrewAI, distributed systems, microservices, cloud-native, AWS, Azure, GCP, APIs, event-driven architecture, workflow orchestration, system design, performance optimization

• 5+ years of experience in software engineering, backend engineering, ML engineering, or platform engineering.
• Strong proficiency in agentic frameworks (LangGraph, AutoGen, CrewAI, or similar).
• Experience building distributed systems, microservices, or cloud‑native platforms (Azure, AWS, or GCP).
• Hands‑on experience with APIs, event‑driven systems, or workflow orchestration.
• Strong debugging, performance optimization, and system‑design skills.