Design, build, and deploy production-grade LLM, RAG, and agentic AI systems. Implement document intelligence pipelines, use LangChain/LangGraph/LlamaCloud, manage embeddings and vector DBs, and scale services on AWS/GCP/Azure with strong ownership.
This role is for one of Weekday’s clients
Min Experience: 5+ years
Location: Remote
JobType: full-time
What You'll Do
- Build LLM, RAG, and agentic AI systems from the ground up
- Design and implement document intelligence pipelines
- Work hands-on with LangChain, LangGraph, and LlamaCloud
- Deploy and scale AI services across AWS, GCP, or Azure
- Ship production-ready solutions quickly, without compromising on quality
Requirements
What We're Looking For
- Strong, demonstrable experience in GenAI / LLM-based systems
- Solid backend expertise in Python, with FastAPI or Django
- Hands-on experience with RAG, embeddings, and vector databases
- Exposure to ML, MLOps, and model evaluation practices
- Comfortable working independently, with strong ownership and minimal oversight
Python, RAG, Generative AI
Good-to-have skillsArtificial Intelligence, LLM, LangChain
Similar Jobs
Aerospace • Artificial Intelligence • Cloud • Machine Learning • Software • Cybersecurity • Defense
Provides systems safety engineering for aircraft turbine engines and auxiliary power systems. Conducts hazard and safety analyses, develops safety requirements and documentation, supports FAA and EASA compliance, performs reliability analysis, and reviews designs. Collaborates across engineering teams on risk mitigation, corrective actions, and aftermarket safety metrics. The role also supports process standardization, automation, AI application, technical coaching, innovation, and strategies to reduce certification cycle time and cost.
Top Skills:
Artificial IntelligenceDoorsDoors NgModel-Based Systems Engineering
Aerospace • Artificial Intelligence • Cloud • Machine Learning • Software • Cybersecurity • Defense
Leads embedded software and firmware development for processor simulators and emulators, including requirements, architecture, design, coding, qualification, and technical support. Develops QEMU and KVM-based tools, ports Linux or RTOS to SoCs, and works with ARM architectures and low-level hardware interfaces. Owns simulator strategy, roadmaps, issue resolution, design decisions, stakeholder collaboration, process improvement, and team mentoring while driving innovation and competitive product development.
Top Skills:
ArmAssemblyBitbucketCC++Do-178B/CDo-330DoorsEclipseEthernetGdbGpioKvmLauterbachLinuxMpsocPciQemuRtosSocSvnTrace32Visual Studio
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Leads reactive and proactive incident response engagements across India and APAC. Performs advanced host and network forensics on Windows, macOS, and Linux; advises customers during security incidents; develops remediation plans; presents findings to technical and executive audiences; and mentors junior team members. The role also involves threat intelligence, adversary attribution, thought leadership, and applying AI technologies to improve workflows and decision-making.
Top Skills:
Artificial IntelligenceComputer Forensics ToolsLinuxmacOSNetwork Analysis ToolsNetwork ProtocolsWindows
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
