Seeking a Director to build, maintain, and improve general software applications and IT infrastructure focusing on compute, storage, and modern public and private cloud infrastructure.
Compensation
Expected base pay rates for the role will be between $160,000 and $160,000 per year at the commencement of employment.
Responsibilities
Build, maintain, and improve general software applications and IT infrastructure focusing on compute and storage.
Provide in-person and real-time support to businesses adopting modern cloud-based software.
Design and develop software applications to use public cloud, private cloud, and modern cloud compatible technologies.
Architect, design, engineer, and deploy private, public, and hybrid cloud IT infrastructure software.
Create documentation and deliver training to operations teams, developers, and business units.
Build, maintain, and improve general software applications and IT infrastructure focusing on compute and storage, as well as modern public and private cloud infrastructure. Architect, design, engineer, and deploy private, public, and hybrid cloud IT infrastructure software.
Compensation
Expected base pay rates for the role will be between $160,000 and $160,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
Responsibilities
Provide in-person and real-time support to businesses adopting modern cloud-based software.
Design and develop software applications to use public cloud, private cloud, and modern cloud compatible technologies.
Architect, design, engineer, and deploy private, public, and hybrid cloud IT infrastructure software.
Consider performance, resiliency, high-availability, scalability, security, and cost.
Create documentation and deliver training to operations teams, software application developers, and business units.
Lead the design, architecture, and delivery of Python-based systems across multiple teams, setting technical standards and driving AI-first engineering initiatives.
Responsibilities
Own the architecture of Python systems across multiple teams
Set the technical roadmap for platform evolution
Write, review and ship production code
Set and maintain engineering standards for API design, data, reliability, security, observability and testing
Lead response to production incidents and performance problems
Requirements
Bachelor's degree or equivalent practical experience
Architect, deploy, and scale local inference engines, real‑time voice and avatar agents, and complex agentic workflows for a smart‑home and AI‑driven living environment.
Compensation
Competitive Tax-Free Salary: A market-leading monthly package in AED, commensurate with experience.
Responsibilities
Deploy, tune, and maintain self‑hosted LLM setups using LMStudio, Exo, vLLM, and Ollama
Design and wire up autonomous AI agents using OpenClaw, Hermes, and custom agentic graphs
Integrate local AI voice agents and agentic control layers directly into Home Assistant
Build resilient middleware that routes queries dynamically between local models and frontier APIs
Provision, manage, and optimize enterprise compute nodes using Linux and Proxmox VE
Lead AI Engineer responsible for building and delivering production-grade AI agents and LLM-powered features within Aon’s Human Capital Solutions platform.
Locations (3)
Bangalore, Karnataka, India
Noida, Delhi, India
Gurgaon, Delhi, India
Responsibilities
Own end-to-end delivery for the team: planning, prioritisation, and predictable execution
Oversee engineering standards, patterns, and best practices
Design and build production-grade AI agents using agentic frameworks
Develop and maintain Python-based backend services (FastAPI) that expose agent capabilities via REST and SSE
Implement secure agent pipelines that correctly propagate user identity and entitlements
Design, build, and deploy autonomous multi-agent workflows using orchestration frameworks such as LangGraph, CrewAI, Autogen, or similar
Architect graph-based agent workflows with 10+ nodes involving agent collaboration, task decomposition, and sequential/parallel execution across multiple business domains
Develop and maintain reusable agent node libraries, extensible platform patterns, versioning strategies, and testing frameworks (unit, integration, and end-to-end) for agent workflows
Build production-grade FastAPI applications with async I/O patterns, integrating PostgreSQL, Redis, and external enterprise services
Implement real-time agent streaming using Server-Sent Events (SSE) and WebSocket protocols, alongside RESTful and event-driven API architectures for agent orchestration
Requirements
Bachelor's or Master's degree in Computer Science, AI/ML, Engineering, Data Science, or a related discipline
Nice to have: Experience in global life sciences
Nice to have: Experience managing or collaborating with offshore technical development teams
Nice to have: Experience with diverse international stakeholders
Lead the technical direction of the search engine behind Progress’s Agentic RAG product, designing and implementing distributed Rust-based search and indexing systems.
Compensation
Generous remuneration package
Employee Stock Purchase Plan Enrollment
Vacation, Family, and Health
23 vacation days annually
Birthday day off
Community service time off
International Women's Day - March 8 is an official holiday for all employees
Life and Medical Insurance
Responsibilities
Own the architecture and roadmap of our distributed search and indexing engine, written in Rust.
Design and implement vector, full-text and graph indexes (HNSW, quantization, multi-vector, Tantivy) and the query and filtering layer on top of them.
Evolve how indexes are built, merged, sharded and replicated on object storage, PostgreSQL and NATS.
Lead large migrations and performance work, based on profiling and benchmarks, without customer downtime.
Contribute to the Python services, SDKs and PyO3 bindings built on the engine, keeping public APIs stable.
Design, develop and maintain Python-based automation for network and cloud-native operations.
Connect to and check the health of network nodes and servers using SSH, REST, gNMI/NETCONF, SNMP and CLI-based tools.
Automate Kubernetes operations such as pod lifecycle actions, log collection, diagnostics and config checks using the Kubernetes Python client, kubectl and Helm.
Build monitoring and availability checks across the OSI stack.
Integrate with monitoring and observability tools (Prometheus, Grafana, ELK/EFK, Alertmanager) to generate alerts, dashboards and reports.
Tech LeadWPP · Gurgaon, India
Lead AI EngineerAon · Bangalore, India+2 more